What Is Customer Lifecycle Management? 2024 Guide

What Is Customer Lifecycle Management?

Customer Lifecycle Management (CLM) is the process of tracking and managing each phase of a customer’s interaction with a business.

It starts from awareness and continues through to purchase and loyalty.

Businesses assign metrics to each stage and analyze these metrics to measure performance.

This helps them understand how well they are meeting customer needs.

Key Stages of CLM

  1. Awareness: Customers first become aware of a product or service.
  2. Consideration: Customers evaluate options and compare solutions.
  3. Purchase: Customers decide to buy a product or service.
  4. Retention: Ensuring customers remain satisfied and continue to use the service.
  5. Loyalty: Building a strong, ongoing relationship with customers.

Benefits of CLM

  • Improved Customer Retention: By understanding each stage, businesses can better meet customer needs, leading to higher customer retention rates.
  • Increased Revenue: Tracking and optimizing each stage can lead to more successful sales and marketing strategies.
  • Data-Driven Decisions: Businesses can make informed decisions based on metrics collected throughout the lifecycle.

Tools for CLM

  • Customer Relationship Management (CRM) Systems: CRM tools help manage interactions with current and potential customers. For a detailed guide on CRM systems, visit HubSpot’s CRM Guide.
  • Marketing Automation Software: These tools streamline marketing efforts, making it easier to target customers at different lifecycle stages.

Many companies use customer lifecycle marketing to personalize their approach and enhance customer experiences. This integration helps create a seamless journey from discovery to loyalty.

How Can Customer Lifecycle Management Improve Your Online Store Metrics?

Customer Lifecycle Management (CLM) can significantly impact your online store performance by improving key metrics such as conversion rates and customer retention. Implementing effective strategies can lead to increased revenue and business growth.

What Metrics Should You Focus On?

Conversion Rate: This metric measures the percentage of visitors who complete a desired action, such as making a purchase. By tracking the customer lifecycle from awareness to loyalty, you can optimize each stage of the sales funnel.

Customer Retention: Keeping existing customers can be more cost-effective than acquiring new ones. Focus on retention metrics to maximize lifetime value (CLV) and enhance profitability.

Click-Through Rate (CTR): Measure the effectiveness of your ads and email campaigns. A high CTR can indicate that your marketing strategy resonates with your target audience.

How Do You Implement Effective Strategies?

Developing effective CLM strategies involves a mix of target audience analysis, relevant content creation, and leveraging technology. Use social media platforms and SEO to boost your online presence.

Target Audience Analysis: Understand the needs and behaviors of your ideal customer. This can help tailor your marketing message to meet their specific goals and incentives, leading to more effective ad campaigns and promotions.

Technology: Employing tools like customer lifecycle management software can streamline your efforts. Tools such as EngageBay are useful for CRM, email marketing, and lead generation.

Content Creation: Produce relevant content that engages different stages of the customer lifecycle. This can improve retention and loyalty metrics by continuously providing value.

By focusing on these key metrics and strategies, businesses can effectively enhance their online store performance and ensure sustainable growth.

What Are The Key Stages In Customer Lifecycle Management?

Customer lifecycle management includes several crucial stages that help businesses build strong relationships with their customers. These stages ensure that a customer’s journey is smooth, from initial contact to retention and advocacy.

What Is The Acquisition Stage?

The acquisition stage focuses on attracting new customers. This involves creating awareness about the brand through marketing efforts such as advertisements, social media campaigns, and referral programs. Businesses aim to reach potential customers and persuade them to make their first purchase. Effective acquisition strategies can significantly enhance customer lifetime value.

During this stage, companies analyze data to understand what attracts customers. They use this information to optimize their marketing campaigns. An important metric to track in this phase is the cost per acquisition (CPA), which helps businesses measure the efficiency of their marketing spend.

What Is The Retention Stage?

The retention stage is about keeping existing customers engaged and satisfied. After the initial purchase, businesses aim to build loyalty through exceptional service, loyalty programs, and consistent communication. Satisfied customers are more likely to become repeat buyers, increasing their lifetime value and contributing to long-term success.

Customer satisfaction and loyalty are key metrics in this stage. Tools such as customer satisfaction scores (CSAT) and customer retention rates help businesses assess their performance. Implementing feedback loops allows for continuous improvement and ensures that customers feel valued and heard. By focusing on retention, companies can reduce churn and foster brand loyalty.

How To Analyze Customer Behavior?

Analyzing customer behavior involves using various tools and focusing on key data points to understand how customers interact with a business. It’s essential for improving customer experience and making informed business decisions.

What Tools Should You Use?

To analyze customer behavior, businesses should employ a combination of analytics platforms, CRM systems, and customer feedback tools.

Analytics platforms such as Google Analytics track website interactions, giving insights into how visitors navigate and what content holds their interest. CRM systems gather data from various touchpoints, creating detailed customer profiles and tracking engagement across the customer journey. Customer feedback tools, like surveys and online reviews, provide direct insights into customer experiences and expectations.

Using these tools collaboratively can help businesses create a comprehensive customer journey map, highlighting pain points and opportunities for improvement. They facilitate personalized recommendations and targeted marketing efforts, enhancing the overall customer experience.

Which Data Points Are Most Important?

When analyzing customer behavior, several data points are crucial for gaining valuable insights.

Demographic information helps in segmenting customers and tailoring personalized marketing strategies. Behavioral data, such as pages visited, time spent on the website, and products viewed, provides insights into customer interests and desires. Transaction history reveals purchasing patterns and preferences, guiding inventory management and product recommendations.

Customer feedback is vital for understanding customer satisfaction and identifying areas needing improvement. Engagement metrics, including email open rates and social media interactions, show how well marketing efforts resonate with the audience.

Customer journey maps help visualize all interactions and events, recognizing key touchpoints and stages in the customer lifecycle map. By analyzing these data points, businesses can make well-informed decisions to meet and exceed customer expectations, resulting in a better overall customer experience.

What Are Common Mistakes To Avoid In Customer Lifecycle Management?

Customer lifecycle management involves tracking customer interactions and improving their experience. Avoiding common mistakes can enhance customer satisfaction and loyalty.

What Are Examples Of Ineffective Strategies?

One major mistake is neglecting to use proactive customer service. Relying solely on reactive measures can lead to customer churn. Instead, businesses should anticipate issues and offer solutions before customers face problems.

Failing to personalize customer interactions is another error. Using generic messages instead of tailored recommendations can alienate loyal customers. Companies should leverage data to provide relevant content and exclusive offers.

Ignoring self-service tools is also a common pitfall. Many customers prefer to resolve issues on their own using FAQs, tutorials, or live chat support. Not offering these options can frustrate customers and increase support costs.

How Do You Identify And Rectify Mistakes?

Identifying mistakes involves regularly analyzing customer feedback and interaction data. Tools like surveys and support tickets can reveal pain points. Monitoring these metrics helps pinpoint areas needing improvement.

Rectifying these errors requires implementing best practices. For instance, introducing proactive support efforts or enhancing self-service tools can mitigate issues. Offering exclusive offers and personalized discounts can also improve customer relationships.

Engaging in consistent competitor analysis ensures that your strategies remain competitive. Observing how competitors handle customer lifecycle management can provide insights into effective practices and areas of improvement.

Frequently Asked Questions

This section addresses common inquiries about Customer Lifecycle Management (CLM), outlining key differences with CRM, stages involved, practical examples of implementation, and importance for strategy.

How does customer lifecycle management differ from customer relationship management?

Customer Lifecycle Management (CLM) focuses on the entire journey of the customer, from awareness to advocacy. Unlike Customer Relationship Management (CRM), which mainly handles the ongoing relationship and interactions, CLM tracks and optimizes each stage of the customer journey to improve satisfaction and retention. For more details, visit Customer Lifecycle Management.

What are the primary stages involved in the customer lifecycle?

The customer lifecycle usually includes five stages: Awareness, Consideration, Decision, Retention, and Advocacy. Each stage represents a different phase of the customer’s interaction with a business. Managing these stages effectively can help in increasing customer loyalty and encouraging repeat business.

Can you provide examples of how businesses implement customer lifecycle management?

Businesses implement CLM using various strategies like personalized marketing campaigns, automated email sequences, and customer feedback systems. For instance, a company might use customer lifecycle software to automate and track interactions, making it easier to provide tailored experiences at each stage.

Why is understanding the customer lifecycle important for business strategy?

Understanding the customer lifecycle allows businesses to tailor their marketing, sales, and support strategies to better meet customer needs at each stage. This comprehensive approach can lead to higher customer satisfaction and increased loyalty, which is crucial for long-term success.

What strategies are effective for managing customers throughout their lifecycle?

Effective strategies for managing the customer lifecycle include personalized communication, targeted promotions, and data-driven insights. Offering excellent customer service at each touchpoint and regularly evaluating the effectiveness of strategies can significantly enhance customer experience and retention.

How is customer lifecycle management adapted for the banking industry?

In the banking industry, CLM involves personalized financial advice, tailored loan offerings, and proactive support services. Banks may use customer lifecycle management to track customer interactions and provide timely, relevant services to enhance customer satisfaction and loyalty.

How to build an eCommerce strategy with Live Chat

The best retailers use Live Chat tools to inform and engage online shoppers. This post will show you how to use it on eCommerce and give examples of successful use cases.

Have you ever thought about what defines conversion on eCommerce? Most online retailers believe that the checkout process defines sales. However, many variables lead the customer to the purchase, so the conversion process involves much more than the checkout page.

Build an eCommerce strategy with Live Chat

In a messy and pulverized eCommerce market, where online brands are often competing for customers’ attention, it can be a struggle to lead users from research to purchase.

An excellent strategy to maximize sales and engagement could be through Live Chat. Look at the most successful online services – from marketplaces like Amazon to digital retailers. You’ll see that all of them have a Live Chat window in their webpages and applications, where they offer the possibility to talk to customer support or sales agents.

Beyond just a convenient button, Live Chat serves as an essential touchpoint with the customer across the decision-making process and after the purchase. It’s as if brands are transposing the classic tagline “How can I help you?”, the cliché of physical retail, to digital spaces (but in an organic, non-intrusive way). 

In the age of immediacy, digital marketers and salespeople need tools that help them quickly respond to customers and solve problems more dynamically. In that sense, Live Chat can be a great option for companies who want to professionalize their eCommerce operations.

In this post, we will explore:

  • The concept of Live Chat
  • Examples and use cases of Live Chat in eCommerce
  • Specific benefits of Live Chat for eCommerce
  • Using Live Chat beyond Customer Support

What is Live Chat?

Live Chat is a tool that allows customers to comment and interact via messages directly on a company’s website, usually while browsing products and viewing content. The Live Chat is generally presented as a window in the page’s corner or as a pop-up button. It can sometimes be hidden in the customer support section.

Live Chat makes communication between brands and their customers much quicker and organic as it emulates messaging platforms. That is crucial for brands that want to build more personal connections with clients. 

Also, Live Chat allows users to speak directly with companies, without having to reach them by email or phone, for instance.

One of the main benefits of Live Chat is that it allows multiple interactions in a single web interface, which is vital in the age of digital multitasking. According to a study from E-Consultancy, 51% of customers prefer Live Chat to other channels precisely because it allows them to multitask. 

Sales and customer success teams typically use live Chat to provide customers with support and personalized answers in real-time. It can be used by companies in different sectors, from marketplaces, online retailers, entertainment, and media companies. What varies is the person behind the live Chat.

If you run a media company, you might have editors commentating live events and sales reps behind the Chat offering subscription services. Now, if you run a fashion eCommerce, for example, you might have a customer support professional offering to help with product and shipping information, and so on.

Why using Live Chat in eCommerce

When it comes to the experience in eCommerce websites or marketplaces, customers want more than great products and a neat catalog curation. Interactivity has become a key element of shopping, and customers want the chance to have their problems and doubts solved all at once if they can. 

That’s where Live Chat comes to play. It can boost your eCommerce strategy, improve customer experience (CX), and give your teams more instruments to convert customers and gather business insights.

Let’s explore a few benefits of Live Chat for eCommerce and how it can enrich Customer Experience.

Fast customer support

Online retailers know that the longer they take to answer a customer, the less likely they are to convert and stay loyal to the brand. The truth is nobody likes waiting for replies through email, SMS, and other support channels.  

Because Live Chat is instantaneous, it’s a lot more attractive as a customer support tool. A recent research suggests that it takes only 42 seconds for a live chat support staff to solve a customer query, which makes the customer experience (CX) much better. 

Human touch

In the age of automation and chatbots, a human approach to customer experience might actually give you extra points in the relationship with customers. Even though automated emails and chatbots can be a blessing for optimizing customer support, studies show that users want to interact with humans whenever possible.

The 2019 CGS Customer Service Chatbots & Channels Survey found out that 86% of American customers prefer to talk to humans over chatbots. With Live Chat, you can give customers personalized, warm assistance in an easy, user-friendly way. Besides, much like at physical stores, consumers are more likely to buy when they are treated well.

Non-intrusive

Unlike other communication channels, Live Chat shows customers that the brand is available to help without disturbing customers’ attention. This non-intrusive approach is crucial for a customer-centric strategy and shows respect for customers’ time, which might help them reach a purchase decision.

Integrated shopping experience

If your company sells products online, you know how complex communication with customers might be. Let’s say a customer just checked out of your website and realized he registered an old shipping address. 

Traditionally, they would have to leave the website and reach out to the right customer support email address or phone to solve the problem, something that could take a couple of days to resolve.

Live Chat, however, can remove this type of friction by integrating the communication cycle in real-time, which is smarter and more effective than executing communication through different channels. 

Besides, E-consultancy shows that 29% of customers want to be in control of the conversation with brands, and Live Chat gives them that. 

Improve Conversion rates

While offering customers rapid solutions to their queries, Live Chat can speed up the decision-making process and improve conversion rates. A study by Emarketer found that more than 60% of consumers would return to a website that offers Live Chat, and more than 79% of consumers feel that having quick answers impacts their buying decisions.

Make personalized offers

While Live Chat is great for solving transactional problems in eCommerce (related to payment and orders, for instance), it can also be a great channel for offering product recommendations and special discounts. A study by ATG Global Consumer Trend found, for instance, that more than 90% of customers think Live Chat was helpful for them while shopping online.

By offering customers personalized recommendations or coupons, brands can use Live Chat to get them out of “research-mode” and convert them into actual buyers. Ecommerce players can also use it to upsell frequent customers. 

Optimize customer support costs

Live Chat represents a cheaper and effective way to communicate with customers from an operations standpoint if compared to call centers. With Live Chat, you don’t have to put your customers on hold, and a few representatives can talk to multiple customers at a time. 

Increase Customer Satisfaction and Loyalty

Every marketer’s goal is not just to convert customers, but to make them satisfied and loyal to your brand, so they always come back. Ultimately, customer satisfaction is related to customer convenience. 

An eDigital Research survey found that 73% of customers who used live chat support for online shopping were highly satisfied and willing to come back for future shopping. Another study by J. D. Power discovered that overall customer satisfaction was higher when customers used the Live Chat window than in other channels. 

Examples of Live Chat in eCommerce and digital platforms

If you look at the digital landscape, you will see that many highly regarded brands have used Live Chat to enhance their websites. 

Still having trouble visualizing how Live Chat can be incorporated into eCommerce? Let’s see how successful digital platforms and retailers are using it. 

Amazon

One of the global references when it comes to marketplace and eCommerce experience is Amazon. They offer Live Chat options that allow users to chat with customer support specialists about account details, orders, and shipping processes. 

The customer can choose the topic he wants to chat about (memberships and subscriptions, ordering and shopping preferences, Login & Security, etc.) before being redirected to a specialized support agent. 

PlayStation

Can you imagine how many customer queries PlayStation, from Sony, receives in its customer support channels everyday? Probably loads of them. In order to make communication with game players easier, the company has Live Chat rooms linked to its webpage, whereby customers can chat with support agents about things like account access, game purchases, and charge refunds. 

Apple

Among the companies that offer great user experience is also Apple, which has a real-time customer support team on Live Chat. Through the chat, customers can arrange a chat with an Apple expert who specializes in their exact question. Everything happens within Apple’s website, so the customer doesn’t have to worry about sending and waiting for emails and phone calls. 

Shoply.tv

Shoply.tv is a project which was developed collaboratively with Arena, unifying a great live video solution with a powerful live chat tool. Even though some features are currently being developed, the results are already used by more than 2,600 clients around the world, and we’re still counting. Shoply used Arena Live Chat to develop a live video shopping solution that enhances customer experience by enabling the best sales and engagement tools.

How to derive even more value from Live Chat in eCommerce

So you have learned that Live Chat has many benefits for your eCommerce operation. However, in order to effectively sustain its value, you have to manage it wisely. Here are a few tips to take advantage of Live Chat beyond customer support.

1) Share customer feedback with marketing teams

Insights from Live Chat can be useful for other departments, not just customer support and sales. Online stores can share customer feedback with marketing teams as well, just so they can make changes in their strategies according to what’s best for your audience. 

2) Integrate Live Chat leads to your CRM and Customer Data Platform (CDP)

Live Chat tools can also provide information to Customer Relationship Management (CRM) systems and be integrated into Customer Data Platforms (CDPs).

You could choose to add CRM contact information to your Live Chat tool, integrating valuable customer information that can be used by support and sales professionals during sessions with customers. 

By having all customer information available, you can reduce friction and improve conversions. After all, your team should focus on answering your users’ needs, without spending too much time searching for customer information.

A CDP, on the other hand, can use Live Chat information to determine customer profiles, products bought by single customers, and the value generated by chat conversations. It can also integrate Chat information to data generated by other channels and customer platforms.  

That way, your teams can follow up with the created leads, having access to easy conversion reports and reducing the friction between different data platforms.

3) Understand where users come from

One of the challenges for eCommerce players is to understand how their marketing efforts connect to online conversions in a granular and accurate way.  Talking about Live Chat, how can they track what led to a conversion in the Chat?

Some Live Chat tools allow you to connect the dots between chat sessions and the marketing sources that led the customer to the chat – whether it was a campaign, a keyword, or landing page.  You could integrate your Live Chat to Google Analytics for instance, and see a bigger picture of chat conversions and Adword campaigns that led customers to chat sessions. 

Such data is important to determine if your marketing channels are actually bringing people to your page – and how they are connected to your Live Chat. That allows companies to optimize campaigns more accurately according to the insights.

Want to try Live Chat on your eCommerce?

If your company still hasn’t adopted Live Chat support, maybe it’s about time to change that!

Not sure where to start? Arena has one of the most robust Live Chat tools in the market, and the best part is that you can try it for free! Access our free trial and get the best out of the Arena Live Chat.

How to use CDP to improve your conversion rates

Customer Data Platforms can fuel your marketing efforts, help you improve customer experience, and maximize ROI. This post will teach you how to embrace CDPs on daily marketing activities to potentialize results.

Marketing leaders’ job has become more challenging year after year with the rise of new content channels, connected devices, and sales formats. In a competitive scenario, acquiring and retaining requires more than just a good strategy. We live in the age of tailor-made communication, where there is no room for basic and generic marketing anymore.

No wonder companies from all segments have searched for ways to make their marketing approach more personal and cost-effective at the same time, which requires the right tools and best practices for data management

report from the CMO Council shows that marketers worldwide see the execution of a data-driven strategy as their primary challenge to have a unified view of customer experience (CX) across different touchpoints, according to 38% of marketers consulted for the study. 

According to 30% of respondents, another challenge is to abandon customer data silos, which make data inaccessible across the organization. Even though marketers can count on CRM and DMP platforms to understand some of the customers’ engagement and pain points, the problems above can only be truly solved through robust data management platforms. 

In that sense, digitally mature marketers have specifically reached out to Customer Data Platforms (CDPs) in order to understand customers better and offer them a better customer experience.

Ultimately, a CDP can boost brands’ ROI and help them maximize conversion rates. This post will explore the concept of CDPhow it differs from other data platforms, and how marketers can use them to improve their results. 

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What is CDP?

A Customer Data Platform (CDP) is software that centralizes customer data from different data systems and customer-facing platforms. It collects quantitative and qualitative information from diverse touchpoints with customers, offering a friendly interface that allows companies to access customer data from different departments easily. 

Customer Data Platforms combine customers’ demographic data, buying history, hobbies, transactional data, social media preferences, interactions with call centers, navigation data, and more. 

They work mostly with first-party data, crossing information from Customer Relationship Management (CRM) systems, Data Management Platforms (DMPs), and customers’ direct interactions with your brand through support channels, payment methods, social media, and different devices. 

The idea is to combine Personally Identifiable Information (PII) and build a unified view of individual customers – also called Unified Customer Profiles. Since the data match is consistent across different platforms, data is even more reliable than other platforms. 

A few examples of data collected by CDPs:

  • Purchases
  • Renewal dates
  • Customer and product value
  • Abandoned baskets
  • Stage in the conversion funnel
  • Products and categories searched and browsed
  • Store and website visits
  • Content and channel preferences
  • Social media interactions
  • Customer support interactions
  • Email opening rates
  • Lifestyle preferences
  • Contact information

These are just a few examples. The possibilities are endless! In reality, your company can choose to plug in any data system to the CDP. All data can then be stitched to the unique customer profile, allowing marketing teams to work on segmentation and personalization.

Typically, CDPs are used with five purposes in mind:

  1. Improving customer identity resolution
  2. Data cleansing and enrichment
  3. Data Centralization and integration
  4. Audience data analytics
  5. Marketing segmentation and optimization

CDP vs. CRM vs. DMP: beware of the difference

The marketing industry has long relied on acronyms to refer to metrics and tools. The data management realm is specifically pervaded by similar acronyms that comprehend entirely different things, such as CDP, DMP, and CRM.

Most marketers will agree that it is essential to manage data through one of these: Data Management Platforms (DMP), Customer Data Platforms (CDP), and Customer Relationship Management (CRM). However, not all of them might understand how each of them works.

All three platforms share a list of common assets: they aim to establish a Single Customer View (SCV), use data for audience activation, and offer reporting, analysis, and optimization tools. Such platforms will often work side-by-side, but CDPs, DMPs, and CRM show many differences despite their similarities.

We have already explained how CDPs work, now let’s explore how DMPs and CRM systems compare.

Data Management Platforms

The DMP is mainly used to drive advertising campaigns, relying almost exclusively on anonymous data from cookies, devices, and IP addresses. It captures generic data such as when users visited your website and how long they spent on the page.

Then, such navigation information is used to target ads according to customer behavior to reach customers who match the brand’s target profiles – a process called probabilistic matching. A DMP can monitor campaign strategies, identify conversion points and personalize campaigns according to them. 

Main differences with CDP

  • CDPs work with both anonymous and known individuals, while DMPs work almost exclusively with anonymous entities and unknown customers
  • In CDPs, database updates happen in real-time, while DPMs only allow scheduled database updates
  • CDPs are based on historical integrated customer records, which means you can store customer data for however long. DMPs, however, store data for shorter periods, usually up to 90 days (a cookie’s lifespan) to target ads and build lookalike audiences
  • DMPs are used only for managing digital advertising, while CDPs can be used across an entire organization, including for sales and customer success

Customer Relationship Management

CRM systems are typically used by sales teams, storing personal information from known customers – such as contacts, demographics, transaction data, notes about customers made by sales, CRM, and customer success teams. 

Softwares alike are used to track leads, understand the sales pipeline, and for driving customer engagement. CRMs don’t store anonymous user behavior.

Mains differences with CDPs

  • CRMs aren’t built to ingest large volumes of data from different sources, like CDPs
  • CRMs only analyze personal data from known customers, such as name, age, and contacts, but not navigation behavior – something tracked by CDPs
  • CRMs do not connect customers’ actions through different channels and devices, and so is not able to follow the customer journey like a CDP

Using CDPs to improve marketing ROI

Successful marketing campaigns don’t embrace just a few channels, but a complex constellation of touchpoints with your audience. Acting over this constellation, however, can sometimes be challenging. A survey from the Harvard Business Review shows that only 3% of marketers believe they are able to act on all of the customer data they collect. Another 21% say they can act on very little of it. 

As we discussed earlier, CDPs can play a significant role in connecting customers’ fragmented journey. But beyond that, they can help you make smarter investment decisions, improve ROI, conversion rates, and Customer Acquisition Costs (CAC). 

Also, CDPs can automate and eliminate repetitive, time-consuming tasks from marketing professionals’ routines, making daily marketing activities more agile.

A few ways a CDP can improve business results:

Accurate personalization

In the age of recommendation algorithms, customers expect personalized experiences everywhere. Marketers should avoid at all costs making wrongful recommendations or serve ads that are not relevant within the user’s journey. 

Because CDPs break data silos and integrate marketing efforts across different channels, they help brands to deliver the right messages, at the right time and in the right channels for customers. For instance, you could exclude users that recently bought your products or those who are not likely to engage with your ad campaigns from your targeting strategy, focusing on users who are likely to engage.

Better budget allocation equals better leads

CDPs allow brands to acknowledge what products customers show interest in, their purchase intent, and how likely they are to churn. They can also find out their favorite interaction channels and stage in the customer journey. From there, it gets easier to allocate ad dollars and improve content strategies on every channel.

As a result, CDPs help attract more qualified leads, optimize marketing budgets, reduce customers’ acquisition costs (CAC), and improve conversion rates.

More qualified data

Marketing leaders are shifting their attention from second and third-party data to first-party data. As privacy and compliance regulations become more consolidated, organizations increasingly seek to work with their own, integrated data – something Customer Data Platforms can help them with.

Driving data-driven sales

Customer Data Platforms can help sales teams upsell or cross-sell products based on customers’ recent purchases or search intent. By having access to enriched, accurate data, salespeople can better design retargeting and churn prevention campaigns through email, mobile, and other channels.

More autonomy and agility to marketing professionals

Depending on other departments for reports and insights can be time-consuming and unproductive for marketing teams, since not everyone is on the same page about marketing needs. CDPs are useful to many areas within a company, but every team can shape their use according to specific goals while having access to all kinds of company data. 

According to CMO Council, 67% of marketers believe speed is one of the primary benefits of data-driven marketing, resulting in quickly executing their campaigns. Through CDPs, teams can scale marketing efforts and get new processes started faster. 

Benefits from CDPs don’t stop there. In this post, you can check 20 ways CDPs can be used in marketing.

Integrations and key assets of CDPs

In a fragmented media and advertising landscape, marketers want tools to give them more control over events in their channels. CDPs allow companies to integrate different systems and deploy data with customers’ profiles to many marketing and customer relationship platforms. 

Most Customer Data Platforms typically offer connector marketplaces where marketers can set up integrations in just a few minutes. However, the depth and amount of possible integrations can vary according to the CDP you choose.

Areas of integration offered by CDPs usually include: 

  • Advertising: Integrations to DSPs, Facebook Ads Manager, Google Marketing Platform, and more
  • Analytics and AB Testing platforms: Google Analytics, Adobe Analytics, Optimizely, MixPannel, etc
  • Email and marketing automation tools: MailChimp, Hubspot, Sendgrid, Salesforce Marketing Cloud, SMS tools, and others

When connected to other systems, CDPs can deploy customers’ profiles to marketing tools (also called delivery platforms), enabling the planning and distribution of campaigns and personalized messages.

The amount of tools companies will connect to their CDPs will depend on the specifics of their business. Large businesses are likely to connect more tools than small companies, for instance.

Before adopting a CDP, be prepared

Yes, a Customer Data Platform can do wonders for your marketing strategy, but you need to feed it for it to work properly. CDPs won’t effectively integrate customer touch points if they can’t truly access data about the whole customer’s journey.

If you want a seamless, functioning CDP, it has to be fueled with multiple data records from clients – not just a few sources. A Customer Data Platform should gather historical data and freshly-collected data about their interactions with your brand. 

That’s how it can create a satisfactory customer profile and identity resolution (when the system matches records from different data sources and connects them to single customers). But why do you need identity resolution?

A customer might interact with your brand through several channels and devices, but sometimes CDPs will interpret different data points as if belonging to other customers.

So, not having enough data or having insufficient data prevents you from having the perfect picture of single customers, resulting in wasted investments, bad customer experience (CX), and poor marketing results.

In a nutshell: the more data sources your CDP can gather, the better. If your company only provides a few data points, your unified customer view might not be so complete, resulting in gaps in customer experience and poor conversion and engagement results. 

Want to learn more about CDPs?

As we have seen, Customer Data Platforms are complex, and so is the process of choosing the best one for your company.

If you want to dig deeper into the benefits of CDPs for marketing, we recommend downloading Arena’s “Customer Data Platform 2022” ebook. In this complete ebook, you will find more valuable information about how CDPs work and how they can be incorporated through every step of marketing.

If you want to learn the specifics about Arena’s CDP, feel free to reach out to one of our consultants.

Customer Data Platform: where audience data and sales strategy meet

Are you having trouble improving conversion rates and connecting customer insights from different touchpoints? A Customer Data Platform helps you understand your audience in a granular way and enables you to craft better campaigns and product offers.

Understanding customers always required brands to look at their audience through different lenses – whether through other marketing channels, relationship platforms, or customer segments. On the verge of Big Data culture, however, just having a fragmented view of your audience is not enough anymore. 

What drives sales is the ability brands have to deliver a cohesive customer experience (CX) across different channels, which is only possible by fully understanding channel correlations and cause and effect connectors along the audience’s touchpoints. 

These days, people interact with brands more often than ever before, and so making sense of different interactions is a lot more complicated than it once was.

Recent research by Ascend2 and Research Partners consulted more than a thousand marketers and found that 43% see data integration across different platforms as one of their main goals. In contrast, 37% wish to enrich data quality and completeness.

No wonder executives are investing more and more in their technology stacks: one-third of industry professionals believe it’s essential to have the right technologies for data collection and analysis, according to a study by Digital Doughnut. Currently, 44% of marketers say they already have data management platforms.

But amongst all data platforms available, the Customer Data Platform is undoubtedly the best you can have if your goal is to understand your audience better and drive more sales. We’ll show you why!

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What is CDP? And how does it work?

Customer Data Platform (CDP) is a software that unifies customer data from different data systems and customer-facing platforms. It combines customer’s demographic data, buying history, social media and content preferences, call centers, and customer navigation data. 

Once implemented, the CDP acts as a 360º data solution: it collects, filters integrates, and analyzes customers’ data in real-time. 

CDPs can ingest structured and unstructured data from Customer Relationship Management Systems (CRM)Data Management Platform (DMPs), customer support channels, eCommerce websites and apps, payment systems, social media, etc. They also track behavior across different devices.

By acting as a hub for many data sources, the Customer Data Platform allows marketers to build a holistic view of single customers and their pain points. 

But how exactly do they organize so much data? Well, CDPs rely mostly on first-party data so they can determine the so-called Unified Customer Profiles, which are profiles based on information from real customers and prospects.

That makes the data match consistent across different platforms, and hence the audience insights end up being much more reliable for marketers.

Check out some practical examples of data collected by customer data platforms:

  • Transactional data: order details, customer and product value, renewal dates, abandoned baskets, stage in the conversion funnel
  • Behavioral data from web and mobile: Products and categories browsed, clicks, store visits, interaction data, number of pages visited, etc
  • Profile data: Contact and opt-in data, psychographic data, details about channel and content preferences, lifestyle, etc
  • Brand Relationship Data: Email interactions with customer support, social listening insights, social media comments, etc

The end-to-end role of a Customer Data Platform (CDP)

In today’s competitive landscape, marketing executives are expected to keep track of all customer interactions and connect marketing efforts to other departments, such as sales and customer success, to provide customers with a satisfactory customer experience (CX).

The rush for data management optimization is seen clearly by the CDP industry’s growth in recent years. According to the Customer Data Platform Institute, the number of CDPs available in the market doubled from 2017 to 2018. Now, there are more than 50 CDPs in the industry worldwide.

The truth is that CDP can be an asset for every department within a company, working as an end-to-end solution to enrich customer experience. We’ll soon explore how brands can use CDPs to drive sales, but first, let’s explore CDPs’ overall benefits for companies. 

Breaking Data Silos

CDPs integrate data from multiple departments, which encourages different teams to collaborate and speeds operational routines. With a CDP, marketing, sales, customer experience, and support teams can be on the same page regarding customers’ needs.

Automating marketing workflow

Because they automate a lot of the data integration and analysis, CDPs make the lives of marketing professionals a lot easier, freeing them from repetitive work and allowing them to spend more time in strategic planning. 

Speeding up decision-making

As data processing happens in real-time in the CDP, it also makes it possible for companies to easily spot changes in customer behavior and act upon them while quickly sharing relevant insights with different teams.

The power of CDPs in driving sales

As we pointed out, CDPs are an excellent liaison point for different departments and can be at the heart of customer experience management. But to what extent can CDPs contribute to final sales? 

There are many ways CDPs can directly or indirectly improve conversion rates, drive customer loyalty, and decrease churn and bounce rates. In fact, a report from Forbes Insights highlighted that 44% of organization leaders believe the Customer Data Platform is helping them drive customer loyalty and increase ROI.

We have made a list of 11 ways CDPs can help you drive sales while also better understanding your customer base

1) Know your customers across multiple devices or channels

The mandatory philosophy among marketers is that they should reach their customers on the right channel, at the right moment, and with the right messages and products. To do that, they need to let go of assumptions and understand exactly how users interact with them across different channels and devices.

With all such information concentrated in the CDP, marketers can tailor better experiences and advertising segmentation across devices, increasing campaign success chances

2) Accurately track shopping events

A CDP is a great tool for retailers and eCommerce as it tracks customers’ buying behaviors and relevant transactional data in significant volume. CDPs allow them to keep a consistent record of the products customers added to the cart, the duration of checkout and order completion, abandoned carts, and other information that is crucial for online operations.

3) Improve pricing 

Collecting data from many sources – from your eCommerce website, app, or even physical stores – CDPs help you clarify how much customers are spending and how much they are willing to pay for your products according to their stage in the customer journey, search, and navigation patterns. 

CDPs can also be connected to your supply chain systems to help you adjust costs and manage the relationship with suppliers, which are aspects that often impact pricing. With such information updated in real-time, you can be more assertive in your pricing strategy.

4) Offer personalized discounts and product recommendations

Having a holistic customer profile at hand also allows brands to offer clients personalized discounts and product recommendations that ultimately can turn them into loyal customers.

study by Salesforce shows that 57% of customers are willing to share their data to exchange personalized offers or discounts. In comparison, 52% will share their data in exchange for product recommendations that meet their needs.

While knowing customers in detail, companies’ teams can offer precisely what users need to advance in the sales funnel – whether it is a discount, a free trial, reviews from peers, or a personal approach from the support team.

5) Connect physical and digital shopping experiences

For retailers that also operate offline, a CDP can connect insights from online and offline systems, which is often a challenge for companies looking forward to addressing omnichannel experiences. A survey from the CMO Council found only 7% of respondents said they are always able to deliver real-time, data-driven experiences across physical and digital touchpoints.

With a CDP, brands can offer better customer experience from the website to the physical store – and vice-versa – increasing sales opportunities.

6) Be quick to react to customers interactions

Being quick to answer customer’s signals is also crucial for both customer acquisition and retention strategies. Still, many marketers struggle with the amount of real-time insights they can access and act upon. 

Research published by MediaPost, commissioned by technology consultancy Vanson Bourne, shows that only a minority of marketers feel they can immediately react to online customer interactions. According to the study, only 43% act quickly over customer behavior in the pre-purchase stage, 38% during purchase, and just 35% in the post-purchase phase.

By providing CRM, sales, and marketing teams with a continuous data stream, CDPs can make customer data more actionable. Isn’t that the point of having so much customer data? 

7) Prevent churn and cart abandonment 

Retail managers and online marketers are often investigating why customers abandon carts or churn after a few purchases. A CDP can give you deep insights into what stands in the way between your customers and the checkout.  

It helps you spot gaps throughout the entire customer journey (and not just in specific channels) that might be leading customers to give up purchases. Are there problems with website usability? Is your customer support too slow? 

By figuring out what is wrong, your team can work on fixing these gaps and segmenting churn prevention campaigns to attract customers back. 

8) Optimize Customer Acquisition Costs (CAC) and Conversion Rates

The McKinsey Global Institute estimates that data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times as likely to be profitable. 

With the Customer Data Platform’s assertiveness, companies can better streamline marketing segmentation and customer success efforts, thus optimizing results related to Conversion Rates (CR), Customer Acquisition Costs (CAC), and Customer Lifetime Value.

9) Qualify your leads

One of the best aspects of CDP for sales is that it allows you to qualify your leads better and nurture the relationship with customers across their entire lifecycle. Not only it supports marketers in optimizing strategies to attract qualified customers; it also gives you the necessary information to engage with customers who are ready to buy. 

A study by Forbes shows, for instance, that 53% of marketing executives are using CDPs to engage with existing customers’ needs, increasing the likelihood that they will become recurring clients and the chances of upselling them. 

10) Enhance predictive marketing

Predicting customer behavior and preferences are what helps giant retailers like Amazon to drive sales. This marketing technique, which determines the probability of success of different marketing strategies, is essentially fueled by high volumes of customer data, which only a CDP could support. 

Armed with a CDP, data scientists and marketing analysts can gather data from several sources and apply predictive models with a great accuracy level.

11) Improve attribution models

With so many touchpoints with the audience, it is often difficult for companies to determine accurate attribution models and discover which channels drive more sales. According to Google, almost 80% of all transaction value involves at least two marketing channel interactions – a number that can be much higher depending on your business’s complexity.

The Customer Data Platform can optimize the attribution framework since marketers can send attribution data to the CDP and have a more accurate view of campaign performance.

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Why CDPs are more complete than other data management platforms

So you have learned the many benefits that CDPs can bring to the table. Many leaders still ask themselves if they should ditch their existing data management tools for a CDP. What has to be clear for marketers and sales managers is that different data platforms don’t need to exclude each other. 

A Customer Data Platform can potentialize the outcomes of Customer Relationship Management (CRM) software and Data Management Platforms (DMPs).

In a survey by The Relevancy Group conducted in 2018 with US executive marketers, about 6 in 10 respondents said they were integrating CRM data into their CDP. 

From a digital advertising perspective, CDPs can make the work of Data Management Platforms a lot more precise as well – with at least 29% of marketers feeding CDPs with digital advertising response data.

Although CDPs, DMPs, and CRM systems share some similarities, they all have different purposes within a company, with CDP serving as a primary data hub to make your teams more confident in responding to customers’ needs. 

Want to become an expert in CDP?

If you plan to purchase a CDP for your company, the next step is to check out the platforms available in the market and consider which one is the best fit for your business goals.

If you feel like it is time to learn more about CDPs, we invite you to download our eBook Customer Data Platform: the future of marketing and sales.

The eBook will give you details about CDPs’ features, how they work, and how they can be incorporated into your marketing and sales strategies. We hope you enjoy it!

Connecting Marketing Campaigns with Customer Data Platform

Customer Data Platform has become the game-changer tool to reach business success. Find out how a CDP can integrate your marketing campaigns to increase revenue now!

Throughout the years, marketing and sales can gather large volumes of data from their actions. But the million-dollar question is how to manage that amount of information effectively and coherently apply them, connecting your marketing and sales campaigns.

But since we are experts on this issue, we made this content for walking you through and show how the Customer Data Platform can sew up your strategies to generate more profits, reduce customer acquisition costs, and increase the investment.

Keep up and find out!

What is a Customer Data Platform (CDP)

Customer Data Platform (CDP) is a software capable of gathering and organizing customer information from multiple sources. 

It puts together data from social media, CRM, e-mails, purchase records, ads, browsers, devices, and more. It also allows real-time updates, reading customer behavior to provide fresh and relevant material.

This compiled information obtained by CDP allows communication with hyper-segmented audiences. More positive engagement is given since marketing and sales know precisely whom they are supposed to talk to and what they really want.

Customer Data Platform uses every single action taken from the audience and turns it into a data profile. So, even though a first-time visitor didn’t share their e-mail with your website, you can still use browsing behavior, pages, and items checked to build up a remarketing campaign on Google or Facebook Ads.

Build more assertive marketing with CDP

One of the essential aspects of CDP is the possibility of creating integration, not just about data but also about teams. Customer services, marketing, sales, customer experience, and support: from Customer Data Platform on, they will speak the same strategy language.

When there is communication harmony indoors, all pieces combined can show this bigger and coherent picture. As a result:

  • Customer services can give the appropriate approach, knowing exactly who they are talking to and what the audience truly wants. No more wasting time here.
  • Marketing can design unique plans of action, understanding by analyzing customer behavior, the best elements to improve conversion in that segment.
  • Sales can offer precisely what the audience needs to purchase, whether it be a discount, a trial, testimonials, or a personal approach to explaining some details.
  • Customer success can promote simple usability based on the interests listed on CDP, enhancing user experience, and improving the chances of making an upsell.
  • Support can grant a more humanized and empathic service, offering high-quality solutions to increase customer satisfaction, generating good referrals.

Those steps combined to ensure a buyer’s journey without bumps or unfortunate surprises along the way. Hence, the entire process gets smoother, causing the best impressions your brand could ever have.

Improve marketing metrics with Customer Data Platform

Through the Customer Data Platform, you can have a 360-degree view of your audience. Having that density of information turns easier to get tighter metrics, eligible to translate ad campaign performances, and provide relevant insights for the teams.

Data is gold, only when you use the right ones. The lack of planning and proper understanding over it may cause inaccurate results and misperceptions about the strategy. The same rule applies to metrics.

CDP does not over give you information. It hands you organized and coherent material to measure all the steps on the way. Therefore, marketing and sales can count on extra support to plan, execute, and manage their best actions.

Increase success of ad campaigns using real-time data

This is undoubtedly one of the most powerful tools currently available in the business. Real-time user data refers to new information from data sources being injected into your Customer Data Platform profiles. 

An applicable example of this feature is when a sales team gets to see an online buyers’ shopping cart to induce a cross-sell. This type of data can also be used to re-target campaigns after the visitor triggers an event.

The ability to walk around the customer to scan them from multiple POVs given by real-time data grants you access to analyze aspects of your strategy. Take a look at some more possibilities you can have with real-time data on CDP:

  • Recognize bottlenecks on your website
  • Improve marketing, and sales campaigns live
  • Create an exclusive and personalized customer experience
  • Offer individualized and relevant post-sale service

All those pieces of interactions –and those many more not mentioned –create a singular environment experience for your brand, leading to customer satisfaction, positive referrals, and more revenue.

Reduce customer acquisition costs and upgrade ROI

To talk about the return over the investment (ROI) made with the Customer Data Platform. First, it is fundamental to understand where CDP is going to fit in your strategy. To get that, there are some key questions that you can answer: 

  1. Does your company work with multiple communication channels? 
  2. Do your teams need to improve their strategies to be more assertive? 
  3. Does having updated data about your customer continuously bring you more insights?
  4. Would it help have more in-depth information about your audience to increase sales?

If you got at least three definite answers, you definitely should consider talking to a consultant to see in a more practical way how CDP can benefit your company.

With doing that, there are some aspects to measure how CDP will optimize ROI. Time, risk, and cost are the trio to show you how efficient marketing, sales, support, UX, and other teams can get with the Customer Data Platform. 

To each department, you should know how much more you can get using the same budget as before. Also, it is important to list some possible cost savings due to group efficiency.

What is the value-added to the process that will lead to risk reduction? You should be aware of the strategy value as well, understanding how much cleaner the entry points will get. 

Last but not least, knowing the total cost of the CDP initiative. Analyzing your new numbers, you may see the bigger picture with all stages connected and the newfound paths it leads to.

Once your teams have this level of customer knowledge, they can aim the efforts directly into actions more likely of conversions. Personalization and localization are two key features to leverage niche data and provide exclusive and relevant customer experience through CDP.

That behavior can lower customer acquisition costs (CAC), improve productivity, increase profits, and customer retention. Analyzing smart data through CDP facilitates a plan of action based on individual customer preferences instead of a massive standardized campaign.

Ease decision-making

Companies need to learn how to make profitable operational decisions fast. It is going to be an ever-increasing data-driven scenario, and we already know that more data is only relevant when it is useful data.

The only way to capitalize on significant amounts of information is by organizing them into relevant segments. By that, your team will be able to tailored offers and strategies to fill their real needs.

Enhance CRM with Customer Data Platform

Every business currently in the game is using customer relationship management (CRM) –– or, at least, they should be. CRM is a software to store customer data and help marketers and sales to develop better practices.

Their functions might sound similar, but they are not. The digital buying journey demands uniqueness to succeed. To understand what customers are doing is not enough anymore. Seeing beyond time and space to predict what customers may do is now crucial.

Also, the need is not only about capturing new customers but also keeping old ones satisfied, making more purchases, and putting great referrals out there. Each customer is now a cycle, not a straight line with a beginning and an ending point.

So, CDP has the power to add unique features to CRM information. It gives you access to a more robust and enriched database made by an organized combination of other data sources. Thus, the customer journey and experiences will become more polished and exclusive.

Customer Data Platform: the future of marketing and sales

We want to take you further and show you: 

  • How to enhance a CDP with first-party data
  • What it does to CRM data –– and other data sources 
  • A panorama about the quality of the information generated 
  • What are the other benefits it can add to your strategies 
  • Why getting a CDP solution can make you stand out amongst competitors

Check out Arena Personas, a great way to boost your CDP with first-party data generated by your own brand.

What is and how to do Customer Data Management CDM

This guide will teach you how to use data frameworks to offer differentiated customer experiences and optimize marketing ROI.

It has been a few years since the buzz around “Big Data” started. Working with marketing in the media space, you probably hear your peers bragging about their data-driven strategies a lot. Do you consider yourself a data-driven marketer too?

Beyond marketing, modern CMOs have had to assimilate abilities in information technology and customer data management.  In 2020, you should expect most marketing teams to effectively use customer data to drive growth and customer satisfaction.

Getting there can be quite a journey, though. Research from the Dentsu Aegis Network from 2018, made with 1,000 CMOs, shows that to two-thirds agree that while there is increasingly more consumer data available, it’s harder to extract insight from it. 

Another report from Harvard Business Review shows that less than half of an organization’s structured data is actively used in making decisions, while less than 1% of its unstructured data is analyzed or used at all. 

Historically, companies have relied on excel sheets and on manually storing and analyzing customer data through different software, with little to no integration. No offense to excel and isolated systems, but things have changed.

The amount of customer data flowing to companies’ databases continues to rise through new channels and platforms, and that’s where customer data management comes to play. More than ever, organizations need a complete set of practices and automation tools to help them manage customer information.

In this article, we will talk about the importance of having customer data management on top of the marketing agenda. We’ll also explore the types of data, best practices for data management, and the role of different data software in data management.

What is customer data management?

Customer Data Management, shortly known as CDM, is the framework in which companies collect, track, organize, analyze and share customer data throughout the organization. 

The term “Customer Data Management” was coined in the 1990s, initially as a way to describe software that replaced disc-based or paper-based data storage. Such software was often used independently by departments within companies.

The concept of CDM evolved along with the Software as a Service (SaaS) industry and nowadays embraces a wide array of cloud computing applications that centralize access to customer data. It also embraces a set of methodologies that help marketers to locate, cross-analyze, and act on customer data.

Why marketers should invest in customer data management?

In a scenario where customers interact with brands through dozens of channels, there is almost no room for guessing and gut-feeling in marketing. Having a good hunch about what will engage audiences is not enough, and so the role of customer data management is to provide companies with accurate and actionable insights.

It reduces your chances of making mistakes, since mismanaging your customer data can lead to actions that will ultimately reduce engagement and profitability. Additionally, using customers’ data in a biased, inaccurate way can lead to poor customer experience (CX) and harm your brand. 

Good customer data management is key to building a data-driven culture and bolstering customer-centricity in marketing. Isn’t it everything you wish for? 

Data Management strategies can bring marketers a holistic view of customers’ journeys, connecting the dots between different channels, and offering cues to enhance their experience.

Customer Data Management is important for: 

  • Customer acquisition
  • Increasing retention and engagement rates
  • Knowing customers in detail and in real-time, from individuals to clusters
  • Increasing data quality by breaking data silos
  • Simplifying customer relationship management (CRM) 
  • Drive higher revenue

How customer data management is connected to customer lifetime value (CLV)

Having well-structured customer data management practices is what allows marketing teams to follow up on important indicators, like the Customer Lifetime Value (CLV).

Amidst a seemingly chaotic user journey – with different channels, devices, and purposes – customer data management can help marketers understand customers and guide them through the conversion funnel. 

Collecting and organizing relevant customer data will allow you to better segment your audience, find out behavior and buying trends, and drive personalized campaigns. As a result, marketers can ultimately attract more qualified leads and reduce customer acquisition costs (CAC) – improving overall marketing ROI.

But customer data management is useful only for marketing. It can help sales, IT, and customer success manages customer touchpoints. The great news is that every department can have access to the same data and deliver a consistent, unfragmented user experience.

Four Types of Data to pay attention to

Before trying to set up a data management framework, your team should have a roadmap of data types and specific information that can enrich your strategy, according to your business goals. 

We will now explore four data types and a few examples for each.

1) Identity Data

Identity data is collected through micro-transactions and interactions in the company’s channels – when a customer signs up for a newsletter or enters their payment information on the checkout page.

By collecting customers’ identity data, marketers have the minimum amount of information to start a conversation (and hopefully a long relationship) with the customer. Such information is also helpful to help companies build brand personas. 

Examples of identity data: Name; Personal data (date of birth, region, gender, etc); Address; Contacts; Social media profiles; Account data.

2) Quantitative Data

Quantitative data is mostly related to the customer’s decision making process as they interact with your brand. Such data covers different channels throughout the customer lifecycle, from emails and customer support channels to purchase transactions and social media. 

The idea is to understand the specifics of how customers are interacting with your brand through important operational data. You could use quantitative data to find out details about channel interactions and steps that led customers to convert.

Examples of quantitative data: Transactional data, such as the number of purchases, time of purchase and subscription value; Order dates; Cart abandonment and Bounce info; Click-through-Rates; Website visits; Product views; Number of Interactions.

3) Descriptive Data 

Descriptive data comprehend additional lifestyle information that complements customer personas. Collecting this type of data typically requires doing deeper research and interviews with customers in order to dive into individual buying behavior. Such data is pretty helpful if you want to use predictive analytics in your marketing strategy.

Examples of descriptive data: Family Data such as marital status and number of children; Lifestyle data, like hobbies and interests; Education and career data.

4) Qualitative Data 

Qualitative data should describe the motivations behind the customer’s actions. Gathering such insights might be more time-consuming and expensive than simply collecting quantitative data, but it is worth it. After all, tackling into customers’ deepest motivations is how you’ll captivate them.

This type of data is better collected on a one-to-one basis, mainly through the marketing teams’ interpretations of customers’ opinions throughout their journey – through analyzing CRM notes or reviews in websites, social listening tools, feedback questions, and Net Promoter Score (NPS) systems. 

Best practices in customer data management

An effective customer data management framework requires marketers to make human and tech investments, have well-defined processes and priorities. We have picked a few key practices involved CDM:

Data collection 

A lot of the data within enterprises go unused, and so data collection is the first step in building an integrated customer data management strategy. There are millions of data streams coming into companies’ systems from many touchpoints, and so marketers need to make sure relevant data doesn’t go to waste. 

It’s important to understand what data needs to be ingested. Ask yourself: What goals do I want to achieve with my marketing strategy? Which data points are directly or indirectly related to my Key Performance Indicators (KPIs)? From there, you can start filtering your sources of data and the indicators you will track.

Data Integration

Centralizing all company’s data into a central system is also vital for customer data management. That enables the “ETL Process”, which stands for “Extracting, Transforming and Loading” data. This stage is where you will check your data integrity, filter it, and validate it. 

A good data system will ingest relevant data, convert it in necessary formats and load it into different tools such as a data warehouse, a customer data platform (CDP), a data management platform (DMP), a customer relationship management (CRM) or any other system. The result? You will have a single hub for all the data you need.

Data management

This is where you connect the dots between data points to build robust, unified profiles of individual customers or segments. This could mean using statistic models to create identity graphs, applying data governance to make sure you integrate consent to customer data, or anonymizing data to be used through a data management platform (DMP).

Data analysis and activation

Data management tools: the difference between CRM, DMP, and CDP

Although customer Data Management can be described as a framework, it requires companies to have the right technologies. 

Your data software stack could be more or less complex depending on the size of your business and the number of touchpoints with the customer, but, essentially, your CDM strategy will require a combination these platforms: a Customer Relationship Platform (CRM), Data management Platform (DMP) and Customer Data Platform (CDP)

Each one of them plays a role in your strategy. But what is the difference between them? 

The basis of data management starts with customer relationship management systems (CRM), which are built to engage with customers by tracking their relationship with your company. They only store data if the customer has interacted with the brand in some way, and they are based on historical and general information such as contact, demographics, and notes made by CRM teams.

Data management platforms (DMPs), on the other hand, have been widely used by marketers to serve ads and lead digital campaigns. These platforms focus on third-party anonymized data collected through cookies (that typically expire after 90 days), device IDs, and IP addresses.

In a different model, a Customer Data Platform (CDP) is a software capable of unifying customer data from various sources, internal or external, gathering quantitative and qualitative information from multiple touchpoints between a company and its customer base. It allows you to build a holistic view of customers and their pain points in a granular way. 

Why CDPs are the ultimate trend in customer data management

Although CRM systems, DMPs and CDPs share similarities, they are different when it comes to managing data. Customer data platforms, specifically, have increasingly been used as an integration hub for data systems because they are built to ingest large volumes of data from multiple sources – unlike CRM systems and DMPs.

There were days when marketing segmentation based on DMP persona segments and CRM was enough, but today, brands are expected to personalize every step in the customer journey – which is only possible through CDPs.

A study by Forbes shows that 53% of marketing executives are using CDPs to engage with existing customer’s needs, increasing the likelihood that they will become recurring clients.

The focus of CMOs is also shifting from third-party data and anonymous data to first-party, single customer data, which also underlines CDPs’ importance. As data privacy and compliance regulations arise, organizations also seek to work with their own, integrated data.

CDPs are capable of providing marketers with a historical record of identified customers that can be used not only for advertising but for other purposes as well.  By centralizing information in a single platform, companies can optimize resources and avoid having to rework their data over and over through different systems. 

Bonus tips for successful data management

Make data widely available to different teams: The Harvard Business Review study we mentioned before reveals that 80% of a data analyst’s time is spent on just discovering and preparing data. Customer data can be an important asset across departments, so it’s important to centralize access to it instead of storing it in separate departments and warehouses. Let the data flow!

Always keep data governance in mind: Understand the privacy policies of your data tools and ensure consent is integrated into all of your data collection, while also respected in marketing campaigns. 

Don’t over-collect data: Understand exactly why you’re collecting the data your collecting, and which questions your company is trying to answer with them. Resist the impulse to gather too much data “just in case” you need it, without a proper purpose.

Create rules for data categorization: Set up file formats you’ll be using, standards for tags, file-naming, and timestamps. Such standards will make it easier for your team to navigate through the data.

Beware of new data sources: Pay attention to emerging data types, such as those from voice activation devices, geo-localization in smart devices, Internet of Things, Augmented and virtual reality platforms, etc. New data points will eventually require new processing and marketing frameworks.

Still want help defining your customer data management strategy?

Now that you have learned a bit more about customer data management, maybe your next step will be to study data management solutions.

If that is the case, we recommend you check out Arena’s customer data platform blog section to dive deeper into the subject. You can also get in touch with one of Arena’s consultants and learn the specifics about our CDP.

Customer Centric: what is it, benefits, and how to apply this strategy

A customer-centric approach is nothing new in businesses, but it is transforming the way companies work nowadays. It’s time to understand more about it.

Being customer-centric is not a new conception in the market. However, with the changes in customer behavior these days, it’s a strategy that is becoming more popular. It’s not only about focusing on the customers, but it’s also about making them the core of your business.

Some time ago, industries used to lead product-centered strategies, meaning that if a product wasn’t selling well, it needed to be renewed and improved. However, as time went by, marketing professionals started to notice the problem was not in the product, but in who was buying it. If you don’t have the right consumer, there’s no point in having the highest quality solution in the market.

Because of that, customer-centric is becoming more and more popular. As a matter of fact, this is far from being a brand-new concept. Companies have known it for ages, but it seems like the notion of it really started to gain attention in recent years.

Since customers now are more educated and informed, their expectations are getting higher by the day. If the company doesn’t find a way to live up to that, it will most likely not survive in the market. To genuinely build the right product and invest in the right marketing campaigns, following a customer-centric strategy is ideal.

What is customer-centric?

Also knowns as client-centric or customer-centricity, this is an approach that aims to put the customer in the center of everything. All strategies and actions the company makes are addressed to the customer. So, if an idea doesn’t fulfill the “will our customer want and like this?” aspect, it probably will be left aside.

Clients are the purpose of a company even starting to work and for that reason, they need to be satisfied with their acquisitions. That means paying attention to the consumer before, during, and after a sale happens — therefore, being directed related to customer experience. The goal is to provide the most positive experience possible.

For a business to have good results, being customer-centric shouldn’t be just a strategy. It should be the core of everything it’s done, creating a customer-centric culture inside the company. That way, every product, service, and publicity will happen around the consumer’s needs and pain points. Because of that, one of the most important things here is to know your consumer.

It’s more than creating a good product, it’s about developing something that’s so good and fit to the client that they don’t want to buy from anywhere else. This approach is to increase customer loyalty and retention rates.

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What are the benefits of customer-centric?

Aside from knowing the consumer and creating all the picture-perfect products and ads for them, there is much more we can talk about a customer-centric approach. All the benefits it brings to a business are surely in your interest, so this is what we’ll address next. 

Increase the customer lifetime value

In recent days, new customers are more expensive than retaining the ones you already have. For that reason, when you work with a customer-centric method, you will eventually increase the customer lifetime value.

In other words, a strategy such as putting the customer at the core of the business will, consequently, give the clients more reasons to be loyal to the brand. That’s what the company needs to focus on: strategies to make current customers buy more and frequently.

Moreover, this will lead to an increase in retention rates and also in overall profits. In fact, a mere 5% increase in customer retention leads to at least a 25% increase in profits — but it can be up to 95%.

Anticipate customers needs

Every area in the market has its competition and it’s important to be known as the innovator. When a customer is at the center of strategies, the problems they have will be explored so the company knows what to look at when building their solutions. With a thorough data collection in real-time, it’s possible to anticipate customer behavior and offer accurate, original products.

Gain a competitive edge

With loyal customers and a real-time data collection strategy, your company will become a strong competitor. Every business will be looking at you as an example of what to do and how to achieve success.

With so much alike solutions and prices, positive customer experience will be the differential of the brand. It’s actually common to see people pay more on services because they offer a unique experience — rather than because of quality.

How to become customer-centric

Well, surely, put the customer at the center of the strategy is the first thing that comes to mind. But it’s about much more than that. To truly enjoy all the advantages of this strategy, there is a need to work with empathy. This means, basically, what we’ve been saying so far: 

First look at the customer, then work on the product.

Since the rise of the internet, customer behavior has been in constant innovation. Every year companies need to renew their strategies so they can keep up with the changes. The good thing is technology has found its way to be one step ahead by creating data-collection platforms that help understand who is the consumer and how they act online.

Overall, some characteristics of a customer-centric business are:

  • use customer data to understand the customer base;
  • analyze who are the best customers and focus on products for them;
  • give special attention to customer success and experience;
  • practice audience engagement;
  • identity opportunities and make data-driven actions.

By using a Customer Data Platform, all information available about a brand’s consumers will be at easy access. From names, ages, and demographic to time spent online, and pages visited. The CDP can collect data from all channels and sources the company is connected with, such as website, online store, social media, payment systems, app, and so on. That’s why a customer-centric approach should be accompanied by a CDP solution.

The more you know about a customer, the better the chances are of having a successful customer-centric strategy. As a matter of fact, to implement this method in your company, it needs to go beyond marketing and sales teams. The entire firm should follow a customer-centric culture. This means customer support, product team, engineers, and whatever other sectors the company has will all be focused on learning and working around the customer.

In addition, it’s important to remember results don’t come overnight. This plan is a long-term project of building durable relationships and providing positive experiences over and over again. After all, customer acquisition costs are way higher than maintaining a devoted customer base. In order for that to happen, the brand needs to be in regular communication with the customer, whether over chats, email, or social media.

Customer-centric marketing

It’s was pretty much implicit that this approach could be used to marketing-related actions. For one, you can’t build a customer relationship without the help of the marketing sector. Indeed, performing an Inbound Marketing plan and delivering content is essential to establish bonds with an audience.

With the assistance of a Customer Data Platform, while being a customer-centric company, every moment of the customer experience can be thought of with minimum effort. Surely, it’s still something that requires the full attention of marketing professionals. However, they can focus more on planning strategies and content than on analyzing data and metrics.

The entire customer journey has to be worked in a marketing strategy. This means personalized content and ads will be sent at every stage of the journey. Even after a purchase is finished, marketing needs to be creating the right materials to send the customer. It’s the only way they’ll become loyal to the brand, maybe even turning into brand advocates and promoters. 

Moreover, based on purchase history and engagement with the brand, personalized recommendations will have a great effect in strengthening the relationship. The essential is focusing on what the customer wants — something you’ll be able to do through data analysis.

How a customer-centric approach impacts sales

In the old days, a sales process was demanding for the salesperson. They had to know every little detail about the product or service and have the ability to negotiate to close as many deals as possible. Nowadays, with the customer-centric strategy, things have taken a turn.

Since the customer is the focal point, a sales rep is no longer the person who showcases the product and tries to sell it at any cost. In fact, they understand the customer pain points, wishes, and demands so they can perform as a consultant — demonstrating how certain products will help solve their issues.

Because of this, it’s just as important for a sales team to have access to CDP data as a marketing team. Customer data is crucial to understand their journey and what is the best way to act in each particular moment. Even though a customer-centric strategy doesn’t attract many new consumers, it does keep the existing client base more loyal. For this reason, identifying the most valuable customers, the ones that generate profits, is a way to assist sales professionals chose their target better.

Customer-centric and customer experience

You must have noticed that customer experience has been mentioned a few times throughout your reading. That’s because there is a relationship between customer-centric and customer experience. But what is it?

In general, customer experience is the relationship a client has with the brand. From their perception at the first contact to their satisfaction after buying a product, every step of the way is a potential influence on their experience. Therefore, a customer-centric company needs to bring a positive customer experience at every moment of the customer journey

Brands that apply Customer-Centric 

For a better comprehension of how a customer-centric company performs (and their results), a few examples can be brought here. These three companies are stand-outs in working with their customers at the center of everything. However, there are many more to keep an eye on for inspiration, such as Nike — their empathy really shows in every marketing campaign they launch.

Amazon

If you have the habit of doing online shopping, you probably already got something from Amazon. Do you remember how was the experience? This is a brand that nobody can question the customer is at the center of their attention. Everything they do is to improve the customer experience.

Details like the 1-click purchase using data previously saved make a difference in obtaining customer loyalty. Besides, people are always talking about their delivery service — they are fast and accurate with their deadlines. Thus, customer satisfaction is never a problem in their hands.

Disney

Disney is a brand that embraces lots of different products and services, such as animated movies, TV channels, and amusement parks. Nonetheless, it’s noticeable how all of their actions are directed to their clients. They work hard to keep their customer-centric culture remarkable. This means customer-centric works beyond digital strategies.

The thing is, people can see the value in the brand. They happily pay more to go to Disney’s park then they would to go to any other park. 

Slack 

Even though this isn’t such a recognized brand as the other two, it’s still worth mentioning their method of work. Slack is a cloud-based communication company that is rapidly growing. Their approach is totally concentrated on the customer experience. 

Instead of having a group of professionals that knows every single detail of the product, they focus on certain areas of expertise. That way, when a customer contacts the team with a question, they are redirected to an expert in the area.

Plus, customer service and product development work in union to always update the service as they notice customers’ needs. Slack is a brand known to be open to feedback from their clients, so more than gathering data, they are regularly monitoring brand mentions so they can meet customers’ expectations.

How to measure the success of a Customer-Centric strategy 

So, you’ve established a customer-centric approach in your company and got everyone working towards it. How do you know if you’re having the desired results? There are three metrics that will give you the answer: churn rate, net promoter score, and customer lifetime value.

Churn rate

First of all, the churn rate. This metric is related to the number of customers who no longer interact and buy your products. To measure it, it’s necessary to divide the number of customers who left in a certain time period (1 month, 6 months, 12 months, and so on) by the average number of costumers in the same time period. If you lost 10 customers out of 100, for example, your churn rate will be 10%.

Since you want your customers to keep engaged and buying from you, in order to have a successful customer-centric approach, your churn rate needs to be the lowest possible.

Net promoter score (NPS)

The NPS, or net promoter score, is about measuring customer loyalty. There is one simple question that revolves around this metric: “how likely are you to recommend us to friends?”. And, in a 0 to 10 scale, people can be classified as detractors, passives, or promoters. 

  • Detractors: From 0 up to 6, they are the first kind, the detractors. It means they are not happy with the product or service and are likely to share negative experiences. 
  • Passives: Between 7 and 8, customers are happy, but not loyal. 
  • Promoters: Lastly, when the classification is 9 and 10, people are most likely brand promoters. This means they are not only satisfied with the brand, but also share positive experiences about it.

Once these data become available, the calculus should be the percentage of promoters minus the percentage of detractors. The results need to be higher than 70%, but ideally, for a customer-centric company, they need to be around 80% to 100%.

Customer lifetime value (CLV)

The customer-centric strategy is based on creating a long-term healthy relationship with the customers. So, measuring the customer lifetime value, or CLV, is a way to see if your plans are having positive outcomes.

The calculus is multiplying total revenue by the time of the relationship with the customer (total revenue X average customer lifetime). 

CLV measures the revenue a customer generates to the company for as long as they are paying customers. This is the best metric to understand before and after results when applying the customer-centric approach to your business.

Here at Arena, we have the best CDP solution for your business. With our real-time data collection, you’ll be able to know exactly who is your consumer and how to work thinking about them. Learn more about our solutions by talking to a consultant.

Customer Data Platforms vs. Data Management Platforms: Definitive Guide

Customer Data Platforms (CDPs) and Data Management Platforms (DMPs) might look similar, but each plays a different role in marketing. In this post, you will learn their main differences and applications. 

Connecting the dots between your customers and the dozens of touchpoints with your brand is not an easy assignment. There are multiple roads that lead customers to your channels, and, in the best scenario, to buying your products.

If you were to map the physical and digital interactions that guide your customer through the conversion funnel, you would probably find ad pieces, search queries, social media and proprietary content channels, interactions with customer support, and so on.

With so many channels in mind, your team has to make sure your brand’s message is unified across all of them.  You want the path to your content and your products to be as seamless as it can be, right? In order to do that, you need good tools for customer data management.

A report from research company Forrester found that data-driven businesses grow on average 30% more yearly than those ones that don’t systematically harness data within the organization. Data-driven companies are also expected to drive $1.8 trillion by 2021.

Historically, companies have relied on Data Management Platforms (DMPs) and Customer Relationship Management systems (CRM) to gather insights, and shape marketing campaigns, and content strategies.

But what if you could complement these tools and engage your customers with even more compelling and personalized messages? That is possible with the emergence of Customer Data Platforms (CDPs), a prominent type of data management system.

In this guide, we will explain exactly how Data Management Platforms and Customer Data Platforms work, their differences, and similarities, and how you can use each of them to leverage data-driven marketing in your organization.

Integrating Customer Data Platforms and Data Management Platforms is crucial for your marketing strategy

Customer Data Platforms (CDP): Definition and Examples

A Customer Data Platform (CDP) is software capable of unifying customer data from different data systems and customer-facing platforms. It gathers quantitative and qualitative information from several touchpoints with customers, regardless of whether they are recurring customers, new customers, or prospects.

Customer Data Platforms collect all sorts of data in a granular way, combining customer’s demographic data, buying history, social media preferences, call centers, and navigation data.

Basically, CDPs cross data from CRM systems, DMPs, customer support channels, payment methods, social media interactions, and different devices, allowing marketers to build a holistic view of customers and their pain points.

They also gather behavioral information, such as customer’s lifestyles and hobbies, transactional data from the company’s web site, mobile apps, advertising channels, social listening, and email marketing tools.

Here are specific examples of data collected by customer data platforms:

  • Transactional and order data: Exact purchases, renewal dates, customer and product value, abandoned baskets, and stage in the conversion funnel.
  • Behavioral data from web and mobile: Products and categories browsed, clicks, store visits, interaction data, and number of pages visited.
  • Profile data: Contacts and opt-in data and psychographic data points, like details about lifestyle, context, content, and channel preferences.

As marketing executives are expected to keep track of all customer interactions, another great news is those customer data platforms makes its unified customer database accessible to other systems – and even other departments. Wouldn’t it be great to connect marketing, sales, and customer success data, for example?

Unified customer profiles

You might still be wondering how exactly CDPs can capture so much data. That happens because the software facilitates customer data integration, filtering the data through algorithms to determine unified customer profiles.

These profiles are based on navigation patterns from your real customers and prospects, because they are mostly based on first-party data – Personal Identified Information (PII) that comes from customers navigating your own channels.

Such accurate profiles make it a lot easier for marketers to build personas and segment campaigns. Since the data match is consistent across different platforms, CDP is known for offering deterministic matching.

As the processing of data happens in real-time, CDPs also make it possible for you to quickly spot changes in customer behavior.

Data Management Platforms (DMP): Definitions and Use Cases

While leading marketing at a large organization, the least you should have is a data management platform to orchestrate your digital marketing efforts. The Data Management Platform (DMP) market size is expected to drive $3 billion a year by 2023, with a Compound Annual Growth Rate (CAGR) of 15% between 2017 and 2023.

If you are still not familiar with Data Management Platforms, it’s time to get acquainted with them. DMPs are intelligent data warehouses that are majorly used to drive customer segmentation and retargeting campaigns. 

Their main objective is to increase audience engagement and make your ad targeting more effective. A DMP will monitor campaign strategies, identify conversion points and personalize campaigns according to them.

Segmentation on the Data Management Platform (DMP) can be done according to different data types, sources, end-users, and geolocalization.

These platforms focus on third-party, anonymized data collected through navigation cookies; device IDs, and IP addresses. Since the information captured is anonymous, DMPs automatically select data for marketing campaigns based on a process called probabilistic matching or lookalike modeling  – when the system finds customers that are more likely to match your target audience by having similar qualities and behavior.

Here are a few specific examples of data collected by Data Management Platforms:

  • Web and app data: General information about customers who visit your website and app, like age, gender, location, browsing, and purchasing history.
  • Data from second and third-party sources: Anonymous data from partner sites and apps and databases bought from other providers.
  • Data from first-party systems: Sometimes, DMPs can include valuable, but highly sensitive information like customer’s name, address, email address.
  • Data from advertising campaigns: Visualization and navigation data related to search-engine-optimization (SEO) marketing and display advertising campaigns.

The methods for data collection through DMPs also may vary by vendor and industry, but generally, the system gathers information via JavaScript tags, server-to-server integration, and an application programming interface (API).

If a major publisher wants to send its website data to its DMP, for instance, it can use tags. An e-commerce platform, on the other hand, might choose to send data from marketing automation tools.

CDPs vs. DMPs: Key Differences Explained

If you are just starting to dive into marketing data solutions, it is almost inevitable to mistake DMPs for CDPs. Although they share some similarities, they show far more differences when it comes to managing data. The CDP Institute, a platform-agnostic organization in the realm of data platforms, uses a simple quote to explain the distinction between CDPs vs. DMPs. They describe:

CDPs work with both anonymous and known individuals, storing personally identifiable information’ (PII) such as names, postal addresses, email addresses, and phone numbers, while DMPs work almost exclusively with anonymous entities such as cookies, devices, and IP addresses”.

Yes, the main distinction between DMPs and CDPs is about the type of data they rely on. However, other important data platform differences impact how they are used. Let’s explore them in detail.

Types of Data

As the CDP Institute describes, the greatest difference between CDPs and DMPs lies in their use of Personally Identifiable Information (PII) – or data related to customers’ identity. In marketing terms, a PII is a combination of data used to identify a specific customer.

The logic behind CDPs is that you’ll be targeting individuals: the more data you collect about a single customer, the better will be the experience your brand will provide to him, specifically.  It can help you analyze if the user can be converted to a customer or understand content affinity based on the customer’s inclination to visit articles, for instance.

DMPs, on the other hand, rely on anonymous data – from cookies, devices, and IP addresses –  in hopes to reach customers who match their target profiles. DMPs are useful in capturing generic data, such as noting when a particular user visited a website and how long they spent on the page.

Data Retention

Another major difference between customer data platforms and data management platforms has to do with how long they store data.  CDPs are based on historical records, which means you can store customer data for how long you think it will be useful. You could choose to maintain customers’ records for a long period to build in-depth, accurate customer profiles and nurture relationships. Or, you could set a time limit for it, but having a long record about customers make it easier for you to analyze their lifetime value, for instance.

DMPs, however, store data for shorter periods of time, usually up to 90 days (a cookie’s lifespan)  to target ads and build lookalike audiences.  That’s not always good because it prevents marketers from having the bigger picture of the customer data over time.

Use Cases

Customer Data Platforms are used to gather customer data in their organic form and deploy insights to other marketing platforms. Marketers can use CDPs to coordinate different marketing strategies across different devices and channels. Beyond advertising, CDPs can be used to leverage the integration of marketing teams with other areas, from sales to customer experience (CX). In this post, you can check 20 ways CDPs can be used in marketing.

DMPs, on the other hand, are often constrained to digital advertising activities. They help marketers coordinate campaign optimization, audience modeling, cross-channel segmentation, and retargeting.

Data updates

In CDPs, database updates happen in real-time, while DPMs only allow scheduled database updates. It doesn’t mean that one model is better than the other, once the way you access and activate data will depend on your strategy.

Marketers can lean on CDPs for ongoing marketing efforts with single customers while relying on DMPs to potentialize specific campaigns and track their performance periodically.

What DMPs and CDPs Have in Common?

CDPs and DMPs do not necessarily replace one another. CDPs, specifically, can act as a complementary asset for DMPs. That means that the data gathered by CDPs can be enriched for better segmentation in DMPs, creating better lookalike audience segments. Therefore, you could choose either one or both of these platforms according to your marketing needs.

Generally, DMPs and CDPs will work side by side with customer relationship management systems (CRMs), which store data based on historical and general information such as contact, demographics, and notes about customers made by CRM teams.

Now, to set a common ground between DMPs and CDPs, we made a list of the assets they have in common.

  • Both CDPs and DMPs aim to establish a Single Customer View (SCV) or a 360-degree view to help businesses understand their customers.
  • Both platforms use data for audience activation and for delivering personalized user experiences.
  • Both platforms offer reporting, analysis, and optimization tools

3 Reasons Why a Customer Data Platform (CDP) is the Best Choice for Marketers

While different management platforms are always welcome, many marketers are turning their attention to Customer Data Platforms. Despite the growth of data and spend on marketing technology, many CMOs still struggle to demonstrate the revenue impact of their marketing activities on the business.

In this scenario, CPD emerges as a promising tool to centralize valuable insights, automate marketing integrations, and track performance precisely. A study by Forbes shows that 53% of marketing executives are using CDPs to engage with customer’s needs.

To finish this guide, we made a list of 3 ways your marketing team could benefit from a CDP:

1. Accurate personalization

In this day and age, not having a CDP can actually result in a poor experience for your customers. You can’t take the risk of making wrongful recommendations or serve ads that are not relevant within the user’s journey. Because it breaks data silos in organizations, CDPs are generally more effective than DMPs in attracting qualified leads, optimizing marketing budget, and reducing customers’ acquisition costs (CAC).

A CDP allows you to acknowledge what products customers show interest in lately,  as well as their purchase intent and how likely they are to churn.  You can also find out their favorite interaction channels and stages in the customer journey. From there, you can come up with predictive models and improve content strategies for every channel.

2. Better data quality

The focus of marketing leaders is also shifting from third-party data and anonymous data to first-party, single-customer data, which also addresses CDPs’ importance. As data privacy and compliance regulations become more consolidated, organizations increasingly seek to work with their own, integrated data.

3. Integration to other software

CDPs can be integrated into different touchpoints called “delivery platforms” or “engagement platforms”. These can be, for instance, your company’s email marketing or marketing automation software, website, or social media management platform.

Delivery systems interact with the platform to send out messages and collect engagement data that will feedback into the system. These integrations enable the planning of campaigns and the set of messages.

Next Steps

We know that there are many data management solutions in the market. But now that you have learned a bit more about DMPs and CDPs applications, maybe it’s worth strengthening your marketing data solutions.

We recommend you check out Arena’s customer data platform blog section to learn more about the potential of CDPs. You can also click here to get in touch with one of Arena’s consultants and learn the specifics of our CDP.

Data-driven marketing: learn how to work it with your customers

Data-driven marketing belongs to a new customer service approach that unleashes companies’ potential to make better, scalable marketing decisions and benefit from higher marketing ROI. It represents the future of customer experience and meaningful branding messages.

You already know what people say: Knowledge is power. Facts, information, and skills acquired through experiences are gold mines for every company that wishes to stand out and stay relevant in their customers’ minds.

Customer data platforms tells marketers everything they need to know about their target audiences. Through digitalization and its multi-channels, it became possible to trace people’s actions across the digital and physical worlds to optimize the process of offering customized products and services that match individual needs.

However, these days, data must be smooth to access and easy to visualize. This happens because customers want quick responses, which timing and effectiveness are highly affected by delays and assumptions.

In this unforgiving environment, are you confident that your marketing decisions are based on facts? When important events on your field take place, how quickly can you respond to them? How many customized experiences do you actually deliver to your customers?

If the answers to those questions concern you, you’re at the right place, at the right time. Get ready to know how data-driven marketing can take you closer to the answers you wish you could give.

In this article, you’ll find out:

  • What is data-driven marketing;
  • Data-driven marketing benefits;
  • Impacts on customer experience;
  • How to work data-driven in consumer segmentation;
  • And examples of data-driven culture.

With that in mind, let’s move forward.

What is data-driven marketing?

Data-driven marketing is a strategy that uses customers’ reliable information to personalize whole marketing communications and experiences. From buying journeys to targeted media and in-store service, data-driven marketing accesses massive information to leverage decisions and make the right judgment about what customers need. This helps marketers to refine strategies based on facts, not guesswork.

But where does data-driven marketing get all the information from?

When you use your phone’s mobile apps or desktop devices to web navigate, you’re leaving traces all around the internet. The applications you use are designed to send data to companies so they know what websites you access, with who you’re interacting with, the locations you have been to, and more relevant information that clarifies your individual preferences and lifestyle.

Many organizations are already worried about data, but we must call attention to the fact that data-driven marketing goes beyond data itself.

The many devices, platforms, and other types of media you use are surely whispering into marketers’ ears over and over to help them build fact-based decisions that match your expectations. Even so, data-driven strategies merge a high-powered amount of digital and offline channels to give context, collect information, and arrange it in ways that are easy to visualize. Data-driven marketing aims at amazingly-designed customer experiences, but influences internal operations in ways companies have never seen before.

With so much information being generated at all times, data-driven marketing unites the right tools to track, segment, and optimize strategies. When used right, this groundbreaking approach will help you to invest in the right interactions to increase customer retention and bring you more marketing ROI.

Data-driven marketing benefits 

Now that you know the importance of data-driven and how it is revolutionizing marketing strategies, it is time to highlight some of its many benefits.

Segmentation

Data-driven marketing is the key to build marvelous customer experiences based on well-designed segmentation. The first step is to select the right customer segment to drive marketing efforts into. After that, you will be prepared to work on specific, tailored tactics to sharpen your customer touchpoints, whether they’re potential or not.

By segmenting a target market, it gets easier to develop products, solutions, and approaches that will attract the right people to your brand. Segmentation also provides transparency when you wish to know how your campaigns are resonating with the public and gives you a better understanding of particular users’ behavior.

Customer acquisition

Four essential questions must be answered very carefully when you decide to attract target audiences and contact potential customers:

  1. What message will you tell them?
  2. How will you communicate with them?
  3. When will you reach out to them?
  4. Where will you find them?

In a data-driven approach, all of these questions will be respectively answered based on:

  1. Goals and pain points;
  2. How they behave;
  3. The best timing according to their routine;
  4. And the digital and physical places you’re more likely to meet them.

Even if you have a large number of customers, it is possible to combine data to deliver special, tailored touchpoints that match their behavior and preference. It could be an e-mail, or an SMS, or a live event. Possibilities are countless, but you will surely pick the best ones once you know what customers expect from you and how to engage them.

Data-driven marketing works efficiently when it comes to continuously deliver interactions to match customers’ expectations throughout their journey. With so much information at the palm of your hand, you will be ready to transmit the right message (what) at the right time (when) and place (where).

Revenue

Every company director loves it when technology saves the day by cutting costs and returning investment. Gladly, this is pretty much the case with data-driven marketing.

According to the Forrester report “Insights-Driven Businesses Set the Pace for Global Growth“, data-driven organizations grow 30% per year more than companies that don’t base their strategies on data.

When we take a good look at different markets, it gets even clearer that data-driven strategies embody assertive communication that makes ROI possible.

Custom-made marketing campaigns reach proper audiences, which leads to customer acquisition, which leads to customer engagement – and ROI is coming back to you in each one of these stages. Not to mention the revenue currency that comes from these approaches.

Revenue is also possible by cutting costs, reducing churn, and democratizing information through different companies’ sectors.

Upgrade your marketing strategy

Automation was already a buzz when CRMs arrived to transform the way marketers dealt with customer data. From purchase details to personal information and preferences, CRM was and still is prepared to collect digital data at higher levels. This allows big data to play a more predominant role in marketing: Data is now at its core, deciding the directions companies should take to reach their goals.

It must be said that collecting data became a more complex task, especially when you take the number of multi-channels available these days. Still, this complexity isn’t an excuse: If brands don’t automate operations related to those channels, they will lose way too much time putting effort into what can be automatic, and marketers won’t be able to strengthen their creative side and propose remarkable tactics.

Fortunately, there is a considerable amount of data-driven tools that optimize, clean, and filter important data from multiple sources, whether they’re 1st (directly extracted from customers) or 3rd party (found in the market).

Data-driven marketing automation saves you time, money, and free your team to focus on more important tasks that require human abilities, such as creativity. That is how you truly upgrade your marketing strategy: By quickly analyzing qualitative data and returning a creative response to customers’ issues.

This means a wider customer reach, more relatable content, targeted ads, and personalized customer journeys – to only quote a few.

Don’t forget that numbers and reports play a crucial role in data, but the outcome will only be useful if the human eye analyzing them gets the right insights and develops accurate replies to get closer to customers.

Impacts on customer experience

Lincoln Murphy, known as the Customer Success guru, says that Customer Success is only achieved by combining what customers need to an appropriate experience while delivering the right interactions. As you know now, this has everything to do with data-driven.

Data-driven marketing is a new shift in customer care. It prioritizes customer experience in smart and strategic ways, such as we have never seen before.

Many marketers around the world have embedded data-driven strategies into their routines, taking their time to analyze information that will drive to ideal customer experience. With so many benefits, data-based decisions impact consumers on profuse levels. Take a look at some of the impacts:

Personalize customer interactions 

Needless to say, real engagement is closely related to giving customers a personal touch in everything you do.

Irrelevant content, general messages, and ordinary offers will only frustrate the current consumer. People expect brands to customize every touchpoint and suit them to previous steps of their consumer journey. This means companies need to enrich and individualize communications that work in a one-to-one approach to get in touch with customers and prospects.

While 74% of consumers feel frustrated by irrelevant content, 56% of them would reward personalization with a purchase.

Data-driven tactics are the perfect response to this personalization requirement. It allows you to incorporate consumers’ inclinations, pain points, and attitudes to deliver personalized experiences both in digital and physical fields.

Content personalization also turns your communication more persuasive, improves customer conversions, and boosts engagement.

Improve products and services

Products and services can also be personalized and better designed to respond to buyers’ expectations. Analyzing clear data will help you understand whether you need to develop a new product or give an existing one new functionalities to match your customers’ needs. This kind of information also guides you to make the right decisions on when to invest in innovation and when to change small details that make a difference.

Besides, data-driven marketing ensures companies always keep an eye on the market to launch tailored, untried products. Data will assist you in when to launch something new, to know how much people are willing to pay for your products and services, and what can be enhanced to increase customer satisfaction.

Ask for feedback 

Another way data-driven marketing impacts customer experience is via feedback. Remember that people use social media to discuss brands and experiences, and when they talk about your company, you should be the first to know. Practices like social listening will help you monitor what people say on social media networks and collect precise data to gather feedback and insights into what’s working and what needs refinement.

Predict customer trends and market changes

Customers are avid for brands that can communicate and act based both on their individual preferences and what’s going on around the globe. Sustainability, social responsibility, storytelling… These are all actual trends that brands should pay attention to while planning their year. Closing your eyes to the market and only focusing on customer behavior is dangerous, as the external environment can dictate what trends will create buzz and what you can do to make people more interested in your brand.

Data-based predictions are important to keep you one step ahead of your competition, especially in times of change. Timing is crucial: Losing the chance to reply quickly to changes and real-time events might harm your brand in ways you never thought possible. With that in mind, make sure you use data to be prepared for change.

Reach customers where they are

Uncovering the best channels for promoting your brand can be a challenge, but data-driven marketing clarifies what those channels are and how your customers use them. This will prevent you from investing unnecessarily in channels that have bad ROI and planning media usage poorly.

With a more concise understanding of trends, you may get a broader view of channels’ tendencies to use them correctly, building more responsive communications. Batches of customers will also benefit from an enhanced content distribution from your part.

Make customers more engaged

Data automation is the ultimate principle to direct creativity into engaging strategies. In the past, marketers could only deliver a few types of customer service — versions back then didn’t vary, and general communication was even acceptable. Nowadays, though, our hectic and ever-changing routine requires more from brands. If you want to truly engage customers and make them loyal to your brand, you better start seeing data as the main resource to achieve better engagement rates.

More interested in experiences than in products, customers these days expect to be listened to and empowered by appropriate brand responses. Not only people are willing to pay more for better experiences — engaged customers are ready to invest emotionally in brands, and this is vital to any long term customer relationship.

Besides making you relevant in consumers’ minds, engagement pays your bills. Companies that have improved engagement increase purchase frequency and order sizes. This keeps revenue coming in and customers satisfied with relevant buying and connection experiences.

How to work data-driven in consumer segmentation

To apply data-driven marketing in your company, you need to be ready to extract, treat, compare, and analyze digital information from multi-channels, transforming it into knowledge.

We know this multi-channel information means millions and millions of data coming from social media, website analytics, cookies, CRMs, consultancies, market data, competitors, and more. But, thanks to technology and digital transformation, data-driven companies use analytics and algorithms to filter and select types of data that matter the most to them.

There are data-driven solutions — software and methods — that will help you segment your customers and visualize information in intuitive reports. With the advances of machine learning and artificial intelligence, machines gather data around and bring it to you whenever you need it.

One of these tools is the Customer Data Platform, also known as CDP. A CDP should provide you with the right insights to create personas, attract and qualify leads, create new content strategies, and develop customer relationships.

Be aware that marketing segmentation is a key-strategy when it comes to the data-driven mindset. Separating customers by interests, job titles, age, location, gender, and more is an amazing strategy for companies that wish to come up with outstanding marketing strategies instead of sending mass emails and trying to acquire leads through general advertising. Segmentation will pull you closer to generate real-time audience engagement.

For example, in 2015 Very.co.uk combined customer preferences with data about the weather to create personalized homepages to attract consumers to their e-commerce. In the process, 1.2 million versions of the website could be displayed, matching customers’ interest. For example, if you were looking for homeware, your homepage would bring special promotional messages that had everything to do with the products you were looking for. It is completely personalized — and that was only possible because Very.co.uk data scientists created complex algorithms to predict customer behavior.

Nubank, the largest Fintech in Latin American, is another company that embraces data-driven marketing to customize the customer experience. Nubank created ‘wows’, the name given to specific gifts customers receive when assistants feel a special type of connection while serving them.

Every gift is designed especially to the customer, considering their preferences and context. Nubank recently gave a consumer that owns 85 dogs a box full of dog toys, bone-shaped letters (written to the customer herself), and a device that throws dog treats in the air.

Examples of data-driven culture

Data-driven marketing has been so relevant it is leading a policy of its own, known as data-driven culture.

Data-driven culture allows organizations to replace opinions and guesswork with data-derived facts. Here, data is the main resource for collecting and leveraging insights in every company’s department. For this reason, all operations and routines will revolve around it, creating a new decision framework that relies on collaboration to move, integrate, and combine data more efficiently.

This means information must flow effortlessly through people, processes, and solutions so decisions can be made in a matter of seconds. There is no time for waiting: Business intelligence, technology, sales, product, marketing, and many other teams must have quick access to data to enhance customer interactions as swiftly as possible.

To give you a real case example, The Coca-Cola Company in Brazil assembles a data-driven culture to machine learning and AI to analyze its market and consumers. From three to three months, Coca-Cola employees set goals based on data and measure their progress through indicators and continuous information exchange.

It is also interesting to mention that Coca-Cola uses digital as a leading measurement tool and values people diversity to boost collective learning.

Worldwide, Coca-Cola is also known for its successful data-driven campaigns and agile mindset. In practice, data helped Coca-Cola deliver the Cherry Sprite flavor, which was inspired by the fact many customers mixed their drinks in self-service drink fountains. It also drove the company to create personalized AI assistants for vending machines that can behave differently and allow consumers to personalize drinks.

To mention one more example, Coca-Cola has been using data-driven marketing to track photographs of its drinks on social media, using image-recognition technology — this allows the company to target customers and deliver more efficient adverts, considering their consumption behavior.

At the end of the day, it’s clear to see that companies that have absorbed data-driven culture are completely different from companies that haven’t. Data-driven companies achieve tremendous results by dealing with complex multimedia channels — like videos, social media, ads, email, and liveblogs; — to reach customers with the right message at the right time. This ability is closely tied to automation and analytical approaches, which permits operations to be optimized, and audiences to be attracted more effortlessly.

Data-driven marketing is the future 

We know making the best marketing decisions is a challenge as much as it is a basic requirement. Moreover, facts tell us the future of organizations will be decided by the ability to use data wisely — and we know you don’t want to be left behind.

Arena helps media companies all around the world to encourage engagement and streamline customer data to smart marketing campaigns.

If you’re willing to be assisted by a Customer Data Platform to boost your audience and work data-driven marketing with your customers, get to know more about how we can create powerful experiences for your users.