How to use CDP to improve your conversion rates

Posted on September 16, 2020 by Arena

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.

A 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 CDP, how 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:

Improving customer identity resolution
Data cleansing and enrichment
Data Centralization and integration
Audience data analytics
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

Posted on September 14, 2020 by Arena

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?

A 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.

A 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!

30 reasons to use Customer Data Platform for eCommerce

Posted on July 28, 2020 by Arena

Information is king, and businesses are constantly on the lookout for tools that can provide a richer understanding of their customers and the journey they embark upon. Customer Data Platforms (CDP) have emerged as crucial tools, particularly for the burgeoning realm of eCommerce.

30 Reasons To Use A CDP

Here’s a deep dive into why CDPs should be at the heart of your digital strategy:

1. Seamless Automation

Trust in a CDP to transform complex data streams into easily digestible and actionable insights, automating processes that would otherwise drain resources.

2. Eliminating Operational Silos

Facilitate efficient information-sharing across departments with a CDP, creating a unified vision for your business.

3. Enriching the Customer Journey

Harness CDPs to unlock a comprehensive understanding of your customer’s interactions, ensuring you’re always delivering value.

4. Intelligent Marketing Segmentation

Harness the power of AI to sift through varied data, empowering you to create precisely targeted marketing campaigns.

5. Tailored Communication

Today’s consumer demands personalization. With a CDP, ensure every touchpoint resonates and builds loyalty.

6. Crafting Memorable Experiences

Use data-driven insights to craft seamless experiences, both online and offline, enhancing customer satisfaction.

7. Metrics that Matter

Deploy CDPs to get an eagle’s eye view on the efficacy of your eCommerce strategies, refining them as you grow.

8. Real-time Relevance

In an ever-changing market landscape, CDPs ensure you’re always a step ahead, thanks to real-time data updates.

9. 360-Degree Customer View

Break down the barriers between online and offline data to truly understand your customer’s journey.

10. Unified Customer Profiles

Leverage a CDP to get an in-depth understanding of your audience personas, refining your marketing strategies.

11. Stand Out from the Crowd

Responsive data-driven strategies ensure you’re always ahead of the curve, a must in today’s competitive marketplace.

12. Maximizing Customer Lifetime Value

Invest in understanding your current customers’ needs and behaviors, ensuring they remain loyal advocates.

13. Merging Digital and Physical

Achieve true omnichannel success by merging online and offline data streams.

14. Refining Offerings

Listen to your customers. Let their feedback guide improvements in your products and services.

15. Attracting Ready Buyers

Precision-target your messaging to capture those on the cusp of purchase.

16. Deep Customer Engagement

Leverage CDP insights to truly engage customers across every touchpoint, building loyalty and trust.

17. Enhancing Marketing Tools

Amplify the efficiency of your current marketing tools by integrating them with a powerful CDP.

18. Spotting and Addressing Anomalies

Ensure your strategy is always on track by identifying and rectifying any anomalies.

19. Anticipating Customer Behavior

Predict future customer actions and behaviors, refining your strategies for maximum impact.

20. Optimized Operational Efficiency

Drive efficiency by streamlining data processes, freeing up resources for strategic action.

21. Strategic Pricing

Ensure your pricing remains competitive and appealing by gauging customer sentiment and market trends.

22. Effective Supplier Negotiations

Utilize historical data to drive better deals and collaborations with suppliers.

23. Never Miss Feedback

Continuous monitoring ensures you’re always in the loop, adjusting strategies based on real-time feedback.

24. Minimize Cart Abandonment

Dive deep into the reasons behind cart abandonment, ensuring your checkout process is as smooth as possible.

25. Addressing Checkout Drop-offs

Investigate and rectify factors causing customers to abandon checkouts, maximizing conversions.

26. Tackling Churn Rates

Unearth the reasons behind dwindling customer loyalty and rectify them, building a lasting relationship.

27. Boosting Conversion Rates

Harness data insights to optimize your site’s usability and messaging, driving higher conversions.

28. Driving Organic Traffic

Strategically leverage live content and social media to naturally increase site visitors.

29. Elevating Social Media Engagement

Deepen customer relationships by engaging them on social platforms, turning followers into loyal customers.

30. Embrace the Future

Data is the future of marketing and sales. Integrate a CDP into your strategy and ensure your brand remains at the forefront.

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For a comprehensive understanding of the transformative power of CDPs, delve into Arena’s ebook Diving Into The Customer Journey In Live Ecommerce. The insights within can be the key to unlocking the full potential of your eCommerce strategy.

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What is and how to do Customer Data Management CDM

Posted on June 30, 2020 by Arena

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.