Get More Customers With A Retarget Customer Data Platform

A customer data platform needs the right fuel to achieve growth—data from sales systems, customer loyalty data, insights from programmatic advertising, and advanced analytics all help. Ultimately, the way to lift conversion rates requires significant first-party data. 

Why First Party Data Should Be The Core Of Your Marketing Strategy

If you ask most marketing teams, they’ll say they are drowning in data from analytics tools. The burden gets even more significant when you factor in customer insights from third-party data. That’s why your customer data platforms need to emphasize direct interactions with customers (i.e., first-party data).

To make the most out of your marketing activities and get better retargeting results, you need the proper foundation in place first. With the right marketing technology, it is far easier to focus your advertising campaigns to achieve better click-through rates and increase conversion rates.

Gathering Your First-Party Data For Retargeting

Fulfilling your business strategy is easier when you can make Facebook ads, email marketing, and overall digital marketing deliver more results. Effectively gathering first-party data into a centralized database makes it easier to provide personalized experiences.

To build accurate customer profiles, look at the data you already have, like purchase history, insights from your legacy systems, and other data points available in your marketing automation platform. These data points are vital to building a company’s first-party data foundation. However, there is much more high-quality customer data you can gather.

4 Marketing Opportunities To Gather And Use First Party Data 

Online events and community experiences give you an unusual way to transform anonymous visitors into potential customers. To achieve this feat, your tech stack needs to be equipped with marketing automation tools like Arena Personas and live chat. Once your email systems and preferred marketing solution are ready, it’s time to engage your target audiences. 

1) Offer Online Experiences To Potential Customers

Using marketing campaigns to gather today from various customer segments is easier when there is a value exchange. Every single customer should get something out of interacting with your company like a community experience, pricing (e.g. discounts), early access to products or useful insights.

For example, you can use Arena live chat to deepen your customer relationships by running engaging online events. As you add more engaging experiences, customer acquisition cost may go up for a period of time. In the long term, providing customers live event experiences can raise customer retention.

Instead of attempting to understand the desires of anonymous segments, tracking user engagement in different types of online activity (e.g. chat and website use) leads to more actionable insights. Let’s break down how gathering first-party data with an online experience can help.

E-Commerce Business Use Case

For example, B2C customers may react with excitement in a chat session during a livestream event. To see how this information could be used, consider e-commerce brands. They may be considering launching 10 products over the next quarter but  can use this insight to improve the results of product launches. By observing the chat and related behavior patterns like website clicks, you can estimate demand for products (e.g. “Hey, we noticed over a hundred people wanted the new blue shirt!”). 

With this insight in mind, there are at least two ways you can get more business. First, you can run a targeted campaign to your current customers and reference your chat experience (e.g. “We saw that many of you are excited about our new linen blue shirts! Order by Friday and you’ll get 10% off!”). Second, you can then make changes on your advertising platform to emphasize the new shirt. 

2) Create Campaigns For Your Current Customers 

Marketing campaigns often focus on bringing in net new customers and prospects. In addition to that objective, it’s important to engage your current customers. In many respects, it’s easier to  execute data-driven personalization is to focus on customers. Unlike anonymous website visitors, customers have signaled what they value with their buying behavior including offline purchases. Let’s illustrate this use case for enterprise-level companies in the software industry. 

B2B Enterprise Use Case

Selling complex business software often feels like a Herculean task. Achieving business success often requires a full team of sales professionals like account executives, sales development representatives and others. Further, the marketing team is constantly working hard to collect customer stories, optimizing online advertising campaigns and more.

In this context, it’s vital to make the most of your customer base. For example, you might have a significant percentage of customers on a mid tier plan while your goal is to emphasize the top tier enterprise plan. In that case, you might offer online experiences showcasing the success of users in the top tier plan and encourage them to share their success stories. For instance, enterprises users might rave about the analytics capabilities and native integrations available in your top tier plan. Running a live event where customers have the opportunity to share their experiences with each other is powerful!

There are some downsides to this type of campaign. It requires significant insight into customer behavior. It’s vital to know your customer satisfaction levels so that you shine a spotlight on your most delighted customers. This type of campaign also requires significant collaboration between sales and marketing. Fortunately, solutions like Arena Personas make such marketing efforts easier to arrange. 

3) Get Better Lookalike Audiences

In Facebook advertising, it has been a common practice to create a lookalike audience by uploading your customer list. Facebook then uses its customer match capabilities to find more people who are similar to your current customers. This approach to Facebook advertising isn’t your only option. What if your target audience isn’t on Facebook or Facebook campaigns aren’t producing satisfactory results? The first party data you gather can help you to market more effectively.

The downside to relying entirely on an advertising platform for lookalike audiences is that you are dependent on their database. If some or many of your customers are not active users on Facebook, retargeting via the Facebook pixel may not work well.

The alternative is to build your own lookalike audiences. With a large enough audience, you may be able to pursue granular segmentation in a custom audience as shown in the following example.

Individual Audience Factors

Every purchase is ultimately made by an individual, whether they are buying as a consumer or at a company. Therefore, it is usually wise to start with these factors.

  • Age: understanding the typical age profile of your ideal audience helps you to decide which channels, creative and offers to use.
  • Gender: it is helpful to know if gender differences are relevant to your market.
  • Geography: contrast the geography of your website visitors to your ideal customer profile.
  • Interests: find out the topics, publications and media your audience likes. If you offer online event experiences like virtual conferences, look at registration records to see 

B2B Audience Factors

If you are focused on appealing to B2B audiences, the following customer attributes are important. 

  • Industry: to minimize confusion, use a standard industry classification like the North American Industry Classification System (NAICS).
  • Company Size: use number of employees or revenue as a filter. 
  • Technology Stack: If you offer technology products or services, knowing the customer’s tech stack is helpful. For example, does it matter if the customer uses Salesforce?

Is Your Audience Segment Too Large?

Audience segmentation can become less useful when the audience becomes too large. IF you end up with an audience segment with millions of individual customers, it may need to be narrowed down. Leverage feedback from the sales team and customer service to narrow the list. They may be able to help you identify the customer attributes associated with the most valuable customers (e.g. people who tend to move through the customer journey quickly).

4) Lapsed Customer Engagement

When a customer cancels their account or stops buying for a long period of time, all hope is not lost. In many cases, you have a good chance to reengaging lapsed customers with a retargeting campaign. To build this type of audience segment, it’s important to choose who to include and who to exclude.

Start by defining a lapsed customer. For simplicity, let’s define a lapsed customer as a prior customer whose last purchase was six to twelve months ago. Once you have that list, it’s vital to filter it further using your customer relationship management data. Specifically, you want to exclude customers who complained or experienced significant problems. Reengaging such former customers is much more challenging and may require more guidance from the sales team.

Now that you have your audience segment prepared, prepare a custom advertising campaign. B2C companies often find that a simple “we’ve missed you!” style message with an incentive (e.g. 10% off coupon) is an effective way to bring back customers. For B2B campaigns, communicating new features or capabilities can help. Even better, reengage lapsed customers by inviting them to an online event.

The Final Ingredient To Successful Retargeting: Leverage Market Awareness

Once you choose one of the ideas from above to execute, there is one more critical point to consider: market awareness. The three part market funnel – top of funnel, middle of the funnel and bottom of funnel – gives us a good framework. Let’s pair the market funnel concept with the audience segmentation we covered earlier.

1) Top of Funnel

In the top of the marketing funnel, most prospects have little to no understanding of your product and how it might help them. This is the marketing equivalent of cold calling. The advantage of top funnel marketing is that you have the greatest opportunity because this segment is always the biggest. The disadvantage is that you usually need to be more patient.

With a top of funnel focus, leveraging the “Offer Online Experiences To Potential Customers” strategy makes sense. In this case, your primary marketing campaign would focus on inviting prospects to an online event. After the event, you would follow up with retargeting campaigns to offer an event recording or other assets to give people a reason to opt in to your marketing.

If you use events, use our how to promote your virtual event guide to get more attendees.

2) Middle of Funnel

Also known as the evaluation stage, the middle of the funnel is an intermediate step in the customer journey. In this stage, the potential customer has some awareness of what you offer. It’s now up to you to nurture the prospect further. In contrast to top of funnel, you likely already have some prospect or customer data in place so you can start off with a retargeting campaign.

Consider adapting the “Create Campaigns For Your Current Customers” concept to middle of the funnel campaigns. Highlighting your current customers via an event, case study or interview is a powerful way to prove your credibility. Using your customer data platform, identify prospects who have interacted with your brand in the past 3 months (e.g. attended a webinar, participated in a live chat etc). Once you have identified this audience segment, create a marketing campaign to emphasize your case studies.

3) Bottom of Funnel

Converting leads at the bottom of the marketing funnel depends on your business model. If customers make an online purchase, a campaign offering a deadline and incentive is often a good bet. For B2B or enterprise sales, running marketing campaigns may not be your best best. Instead, it may be more effective to collaborate with the sales team to find out what type of campaigns they want. For example, highly customized and targeted direct mail campaigns may be the best way forward.

Use Arena Personas To Get More of The Right Data

Data driven personalization campaigns and advanced audience segmentation all depend on having high quality data. To help companies get more of the data they need to grow, use Arena Personas. It’s the fastest way to collect and import first-party data into your customer data platform. Then you’ll find it far easier to run retargeting campaigns across the marketing funnel.

Understanding the Difference Between Customer Data Platform (CDP) and Customer Relationship Management

Customer Data Platforms are still new in the market and they can be mistaken by other solutions that came before them. Here’s the difference between CDP and CRM.

The difference between CDP and CRM needs to be explained. Even though they both gather customer data, they work in distinct ways. While the CDP is a much more complete software, the CRM can still perform very well in many strategies.

Customer Relationship Management (CRM) and the Customer Data Platform (CDP) are both customer data-collection-related software. However, there are many differences between these two systems — from the type of data gathered to why they are used. For example, CRM was developed to assist sales representatives while CDP is much more focused on marketing teams.

Because CRM can be integrated into the CDP, that’s even one more reason they can be mistaken for one another. Nonetheless, the difference between CDP and CRM is there and it needs to be understood. Mainly for the reason of knowing what is the best solution for your company.

So, if you already know what your pain points are, you only need to understand what is a CDP, what is a CRM, and the difference between CDP and CRM — which is everything we’ll explain ahead.

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What is a Customer Data Platform (CDP)?

A Customer Data Platform, commonly known as CDP, it’s a software that gathers, processes, and stores data. It’s a system that was created with the goal of helping marketing teams to be more successful in their strategies. Through a database created by the CDP, marketing professionals can have access to all information about a company’s clients and prospects.

These data can include characteristics such as:

  • name and age;
  • contact;
  • demographic;
  • time online;
  • pages visited;
  • products of interest;
  • which social media they use;
  • how many interactions they made with the company;
  • purchase history.

This is just a general overview of what a CDP can do since there is still a lot more information it can collect. Even more, it’s a thorough platform as it unifies data from several sources, both online and offline. This way, if someone follows the company’s Instagram and then buys a product in a physical store, the software has the ability to recognize it’s the same person, organizing all data about him or her and avoiding data duplication.

Basically, the CDP consumes data from any available source to create its database. Some examples we can name consist of the company’s website, online store, social media, payment systems, and app.

Moreover, a CDP system will always be up-to-date since it works with real-time data collection. This means information begins to be processed and stored from the first contact with the brand. Even if the person doesn’t share personal information on the first visit, their online behavior is being analyzed.

That way, when they do decide to share personal and/or contact data, the system will be updated and unify all that information into a singular customer profile.

Something that’s worth mentioning too is that the data available on a CDP software has no lifetime limit like cookies do. A system like DMP, for instance, has up to 90 days of data storage because it only works with purchased cookies — you’ll understand more about this later on.

Also, a CDP will create unified customer profiles for clients with similar preferences and habits. These can be analyzed and used to create segmentation groups for highly personalized customer journeys. Of course, individual profiles can be used for the same reason.

Working with real and reliable data makes a huge difference in marketing strategy success. Still, other teams inside the company can also benefit from using a Customer Data Platform. For example, sales and product teams can have access to all the data without the need to have reunions and updates from the marketing sector.

Just like that, the whole company is able to work with efficiency to give the customer the best UX possible.

Customer Relationship Management (CRM): Definition and Advantages

Customer Relationship Management is a system developed to assist mainly sales teams. Yet, nowadays, it’s used by other sectors in a firm, like Human Resources and the supply chain.

Overall, what CRM does is gather customer data through online transactions. So, what makes it different from the CDP? Well, that is the fact it only analyzes personal data from known customers. That means it’s possible to check information like name, age, and contact, but not the number of visits made to the website or which pages were visited by each client.

The main role of Customer Relationship Management software includes:

Even more, it’s a platform that’s used in the B2B (business to business) field, where data allows us to analyze the sales pipeline and see where there are more chances to close a deal.

It’s a guaranteed way to understand more about the consumer and the context where they are before contacting them — which will help increase conversion rates. After all, when you know who you are talking to, customer service is more accurate and the client will have a more pleasant experience.

In spite of the difference between CDP and CRM, both systems perform their job in a way that is noticeable. Customer Relationship Management helps increase profitability and simplify sales processes. Likewise, since CRM is a source to feed the CDP as well, it makes marketing processes easier — this technology allows to make accurate decisions based on real data.

What is a Data Management Platform (DMP)?

It’s important to mention the Data Management Platform (DMP) because it is also a system commonly mistaken for CDP and CRM. In fact, there are similarities, but they are all different software and perform different functions.

In this case, DMP is a program that works with data collection and organization, but there is a big difference from the others: its database is formed by anonymous cookies.

These cookies are purchased data from external providers. That’s why they are anonymous — brands can’t collect and sell personal data. Because the customer decided to share their personal information with a brand, that doesn’t mean the brand can share it with any other company.

Even if they’re anonymous, these data are still a valuable resource to create target audiences and make promotions at large scale. Therefore, marketing teams are the ones who mainly use this platform. Besides, it provides professionals of the area enough support so they can create new segmentation groups to use in ads and overall campaigns. This way, boosts brand awareness and grows the company’s audience.

Also, one last detail to keep in mind about a DMP system: all data gathered can be processed and added to the Customer Data Platform.

What’s the Difference Between a Database and a CRM?

Based on everything that’s been said so far, it’s noticeable some differences between CDP and CRM. Then again, it’s important to show clearly what they are and clarify them a little better.

Application

First of all, Customer Relationship Management seeks to personalize and improve customer relationships. While CDP also has that at its core, it also focuses on how to ameliorate products and services. Thus, bringing a better overall customer experience.

Another factor to take into account is that CRM mainly analyzes sales pipelines looking to transform leads into customers. Though a Customer Data Platform does that as well, its priority is more about getting to know the consumer. Only then, the system do a public segmentation and help in creating personalized campaigns and publicity.

How Data is Collected

While CRM only gathers data of active consumers, CDP includes unknown prospect data too — so that when they decide to share their personal information with the company, the system will recognize who they are and put together all the information. Even more, a difference between CDP and CRM is the amount and type of data that can be collected by each platform.

At the rate Customer Relationship Management stores personal data, such as names, age, address, etc., the CDP knows a lot more — like the time each consumer spent on each page they accessed. Additionally, everything that is related to the brand is a source to increase the CDP’s database, from the company’s website to the payment systems used by the firm.

Customer Journey Tracking

If a client clicks an ad but decides to purchase in another moment, through another source, CRM doesn’t have the capability to connect that it was the same person who took those actions. However, that tracking becomes possible with the CDP.

As previously mentioned, Customer Relationship Management doesn’t gather offline data. So, if a customer interacts with the brand online, but buys on-site, the system can’t connect the dots. CDP, however, has the knowledge to understand and put together that information, following the entire journey someone makes to conclude a purchase.

Data Duplication

For the same reason CRM doesn’t track customer journeys, it ends up with data duplication. Since the system doesn’t have the intelligence to understand the person who clicked an ad and bought on-site as the same one, data ends up being repeated as if it were two separate persons. The same way, this happens if the customer interacts with an email and then on the website, among other cases.

Nonetheless, the CDP configuration enables data processing to avoid duplication. So, even if a customer identifies as Mary Jane Brown in one source and MJ Brown in another, that data will go into a singular customer profile.

IT Support

Even though CDP is a much more complex system than the CRM, it’s this second software that needs more IT support. From configuration to management, the Customer Relationship Management system needs the tech team through the entire process. Meanwhile, the CDP will probably need some support at the first configuration, but, after that, anyone with authorization can easily access the database.

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CDP Benefits for Marketing Professionals

Many benefits can be implied along with the explanation about what is CDP. For instance, how easy it becomes to know your consumer and create the finest content possible. As a matter of fact, that is the main goal of acquiring a CDP solution.

As a part of the advantages, we can name:

  • understanding who is the customer;
  • knowing the pain points of the consumer;
  • getting a complete database;
  • increasing conversion rates;
  • improving ROI;
  • automation of data analysis;
  • lower operational costs.

Currently, the purpose of a company lies much more in understanding who is their consumer than on working on products. Getting the ideal customer is even more important since that will reduce the need to constantly work on the product. Still, developing and perfecting a product or service occupies a high position on the priority list.

When we talk about pains and gains in marketing, the idea is that all clients have different pains that the company will have a solution for. This way, a CDP gives all the necessary data for marketing professionals to find out what is impacting the audience and in what way their product can be used to put an end to the problem.

From the information about the consumer, the team will be able to create exclusive content and advertising that are extremely directed to increase the chances of landing a conversion. To clarify, data about what a person likes and dislikes, where he or she lives, who they live with, where they seek information, what kind of content they pay attention to, amongst many other possibilities. The more you are able to discover, the better the result will be.

Overall, marketing by itself is already a way to increase conversion rates and return on investment. Still, a Customer Data Platform will intensify that factor by giving the most accurate and real data as you can get.

In addition, it won’t be necessary to have a specific professional or group to analyze data into what’s useful or not. By using a CDP solution, that will already be covered — therefore, reducing operational costs and making the process automatized and faster.

How to Strategically Use CDP and CRM

Even when we consider the difference between CDP and CRM, a company can still take advantage of the benefits of both software. Everything that’s processed and stored in the CRM and in the CDP has an important role in two moments.

First, to help small businesses grow. Then, to help companies that already have an established audience and are looking for a large-scale solution to work on digital marketing strategies.

Through marketing strategies, it becomes possible to recognize an issue and present a solution. And with a CRM and CDP database, marketing professionals can identify exactly who the target audience is.

With all the data available, from purchase history to offline habits, the company controls target audience segmentation, creates an automation flow for emails and ads, and analyzes performance metrics. Thus, directing content with precision.

After analyzing the difference between CDP and CRM, have you decided on acquiring a solution like this to your company? Arena will give you the best product to work with data collection, customer experience, and audience engagement.

Plus, our team is always available to answer all of your questions. So, stop delaying the success of your business and talk to one of our consultants right away!

The Difference Between Data Management Platform (DMP) and a Customer Management Platform (CDP)

A data management platform works as a warehouse, collecting, organizing and activating third-party data in a single place. Keep up and find out how to benefit from it!

Data is a crucial resource in this business era. However, it can be useless if the company doesn’t know how to professionally manage all that amount of information, wasting thousands of dollars advertising to an incomplete or insufficient database usage.

In a digital world of first, second and third-party information, a Data Management Platform, also known as DMP, can transform piles of databases into profitable resources. Take a look!

What is a Data Management Platform (DMP)

Customer experience is not a linear walk. They will leave crumbs of information all the way along their relationship journey with a company. That process results in the accumulation millions of data throughout the years from multiple sources.

Most times, those data can seem random, incoherent or fragmented. That may happen when there is no right management of it.

Then, some questions become trivial:

  1. Who are the visitors on my website?
  2. What are they looking for?
  3. How can you have direct contact with them?
  4. Why they are not making deals with me?

A data management platform (DMP) is a tool to filter all those pieces of information into organized profiles for audience segmentation or insights for decision-making.

After that, your company will know exactly who they supposed to talk to; how these audiences behave; what is the best approach along the sales funnel to them; if the investment made in advertisement campaigns has the appropriate segment and more.

You can even create cross-media analysis, which is when multiple platforms, on and offline, can support the same campaign.

How Does a DMP Work?

Operating as a central intelligence system for digital marketing, a DMP creates a perfect definition of your ideal customer by organizing millions of information into demographic, consuming habits, interests and so on.

You can obtain new forms of segmentation through DMP, such as a non-dependent on the context or content one. This new segment is now based on the profile of the audience, regardless of the advertisement subject or the platform displayed.

To function, a data management platform operates in four steps:

Collect

It all begins with data collection, third-party information acquired by relevant partners with similar or identical market spaces. These data can be provided from CRMs, customers’ registration, e-mails, website data, previous purchases and whatever more relevant material is available.

Even though DMP is made to operate third-party data, it also supports some first-party data to improve the information given.

Organize

In this step, the DMP classify the info into categories, grouping them as clusters. Clusters are a type of audience segmentation that combines customers with similar marketing sales behaviors in one file.

For example, it is possible to create a group of customers who has made most of their purchases by ad clicks, or those who spent a certain amount of money in a product or service related to yours, who has more visits in a specific category in a website that might fit your business, etc.

Activate

Now, it is crucial that the data management platform used is agnostic, which means it will be compatible with any digital platform. So, if the company wants to run a campaign for the brand in social media, websites, search engines, etc, it will be just fine. The activation itself happens when the campaign is on.

Learn

By analyzing the return over the investments made on the ads, it will be possible to understand the depth of cluster segmentation. The company will have more domain over the results acquired since the data is much more precise than any other type.

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What Can You Do With a Data Management Platform?

One of the main benefits a DMP provides is the cluster: high-detailed information about customers so you can create hyper-targeted ad campaigns, delivering more conversion rates and increasing the ROI of your company.

Using a DMP, you’ll be able to create accurate segmentation, making the proper usage of your third-party data by giving your audience the right message.

Practical Example

Imagine you run a dental clinic and want to expand your qualified leads base for a specific segment, let’s say dental implants. That is one of the most expensive procedures you have and it is not salable to any type of customer.

Typically, you would create a campaign based on people interested in dentistry or dental implants in a wide range, fitted in average age, near your clinic.

With a DMP, the depth of your segmentation reaches this: men and women, from 40 to 70 years old, who have downloaded some white papers about dental implants, researched a number of keywords that demonstrate the need for professional information and live within 5 km of the clinic.

Here are some possibilities your company can reach with this type of segmentation:

  • Retargeting: easily implement personalized retargeting campaigns based on specific activities and behaviors online.
  • Prospecting: integrate with third-party data sources for the acquisition of anonymous data, achieving greater precision and scale in online campaigns.
  • Website optimization: use your own or third-party data to provide customized content to different consumers when they come to your page.
  • Audience intelligence: cross your first-party data with other third-party to learn more about your audience and reach the people most likely to convert.
  • Better ROI: use an analytics tool that centralizes online campaign performance data to determine which audience segment performed best and where to focus your efforts in the future.
  • Productivity increase: eliminate the bottleneck of needing IT to reach out for your data and have all your teams able to take them out, ready to use.

DMP Benefits for Companies

So far, we have seen in order to escalate your business, having the right audience to talk to is fundamental. This is market intelligence. Your company can no longer have a vague idea of who their customer is. It is necessary to personalize and amplify to get the following benefits:

Cost-Effective Advertising Campaigns

When you have this level of audience segmentation, you can spend every dollar of your budget on better-targeted prospects. Get the return on the investment you need to.

Lower Technology Investments

To run a DMP, you won’t need an extra support. Your whole team, from customer success to follow-up sales, can easily operate the system. As we mentioned before, there is no need for IT.

First, Second, and Third-Party Data Combined

No data is left behind. Even a messy pile of customer information can turn into gold here. As this platform gathers and organizes party data, every piece of a database is important, nothing is wasted.

No Data, No Success

Regardless of the type of industry you are in, uncountable amounts of information are huddled and enter your company through different doors: billing spreadsheets, sales reports, feedback offered by different media, social networks, loss or conquest of new markets, CRM, etc.

Such a thing must be used to leverage business marketing strategies. That is the reason why it is so important to generate an efficient information collection, organization and analysis on a daily basis of a company, as DMP does.

From this, a strategy can be developed over decisions based on information, including those related to strategic and operational marketing. That is the Data-Driven Marketing.

Data-Driven Marketing

Data-Driven Marketing helps, for example, to create a guideline for campaigns using DMP clusters. Besides highlighting the features/benefits/quality/etc of a product or service, it enables a work of relevant engagement with your consumers, delivering exactly what they want.

As a result, communication is enhanced by user experience and becomes more aligned with the needs of its audience.

Strategies will be able to still cohesive and aligned even when using a larger number of channels. Marketing campaigns have been running more frequently in social networks, which is the place where interaction has a leading role.

It keeps getting more essential to own proper knowledge of the market slice you are in. Its audience and characteristics indicate the way your company should brand, advertise and sell their product.

Big Data

When we reach for the definition of Big Data, we find a true technological revolution, making more possible to qualify the results obtained. Big data is a master process of analyzing and interpreting a great volume of data stored somewhere remotely.

Information is available everywhere online in a non-confidential way. No matter how large the amount of information is, Big Data can reach and group them according to interests.

Big data can be used in several business routines. However, to use it properly, it is mandatory to have not only knowledge about the technology, but also to identify which are the touchpoints in your company that will be impacted by its implementation.

By that, it will be possible to make a more efficient allocation of resources and increase the return over the investment in those data analysis solutions. And that is how a Data Driven culture is established.

Thus, the company must act so all teams understand the importance of data integration in the definition of strategies and work based on that!

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How a DMP Can Boost Marketing and Sales Results

Marketing and sales work as the core of the data management platform. This is where it starts, through hyper-segmented audiences. One of the biggest mistakes –– and frequent too! –– of digital marketing campaigns is having an incorrect or too wide segmentation.

Besides impacting those who are not part of your true audience –– and might cause a bad reputation for you ––, there is going to be a significant waste of your marketing budget that may harm your ROI.

Every click or scroll on the screen can generate data. When your marketing strategy is aligned to DMP guidance, you hand over to sales team customers ready to spend their money.

DMP and Sales

At this stage, sales have a unified perspective over the data and better cards to play, such as real-time interactions.

This is a priority in marketing and sales now. A high-performance sales team, which are those with the upper sales amount, increase the chances of achieving their mark by real-time interactions with the customer.

But we are not talking about aggressive and unprepared approaches here. Sales’ strategy must contemplate the best ways to do it based on who is the audience. By that, the integration of the DMP with marketing and sales is crucial for higher performances.

The Main Differences Between DMP and CDP

There are a lot of similarities between Data Management Platform (DMP) and Customer Data Platform (CDP). But there are also some very specific characteristics we need to keep them well established. Here they are:

Data Collection

One of the main differences between CDP and DMP is that DMP uses cookies to track users’ movement and target marketing strategies more efficiently. DMP was developed to search for data on advertising networks.

On the other side, CDP is a technological advance that gathers customer data from different sources and use it to generate more appropriate content, email marketing or offers.

Objective

DMP was designed to create deeper segmentations for the marketing strategy. CDP focuses on improving conversion rates and customer engagement, creating a richer consumer profile with more information.

CDP is also able to capture information from different channels and devices, in an automated way.

Therefore, investing in a CDP or DMP allows you to transform your company, employing more resources and intelligence to the business, and promoting your brand to a great and higher level of reference and success in the market.

How about starting now? Arena has a Customer Data Platform solution for your company. Build your clusters, make better advertisements, and talk straight forward to the audience you need. Click here and visit Arena’s CDP page!