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A Quick Guide to Customer Data Platforms

To solve the problem of disconnected data in a world where we are dealing with millions of touchpoints and interactions, 51 percent of marketers say they currently use a customer data platform (CDP) and 35 percent say they plan to use one. So, what exactly is a CDP, what benefits does it offer, and how does it compare to other customer data systems? 


What Is a Customer Data Platform?

A customer data platform is a type of software that collects and organizes data from a wide range of touchpoints in real time to create individual, unified customer profiles.

CDPs can also communicate with other delivery and engagement systems such as marketing automation software, websites, and social media management tools. This means it is possible to plan and execute campaigns directly from them.

Some customer data platforms also have additional functions built in, such as business intelligence, analytics, reporting, and tracking. Their ultimate purpose is to help businesses and marketers make better customer-focused decisions.


What Type of Customer Data Does a CDP Work With?

A customer data platform can collect and work with multiple types of first-, second-, and third-party customer data. This includes data from your CRM activities, web forms, website, apps, social media activities, e-commerce site, customer service calls, and even in-store interactions.

These specific types of data can be filed into four broad categories: Demographic data, behavioral data, transactional data and qualitative data.

Demographic data – This includes identity, socio-economic and descriptive data such as age, gender, population, race, income, location, education, employment, social profiles, and hobbies and interests.

Behavioral data – This is generated by online customer interactions. It includes website clicks, product views, social media engagement, email open and click-through rates, and customer service communications.

Transactional data – This comes from exchanges or interactions between a customer and a company such as purchases, returns, subscriptions and abandoned carts.

Qualitative data – This includes information made available through forms and surveys. It collects motivations, opinions and attitudes expressed by customers, such as why they chose your product over others.   


How Is a CDP Different From CRM Tools and DMPs?

Like CDPs, customer relationship management (CRM) tools and data management platforms (DMPs) also aggregate customer data for your organization. However, they work differently and serve different purposes. Here are some of the key features of each: 


  1. Automatically create unified customer profiles
  2. Collect (mainly first-hand) customer-specific data (e.g., names, addresses, emails) on anonymous and known visitors
  3. Analyze customer behavior and journeys
  4. Track online and offline customer behavior
  5. Built for scale to handle multiple data points efficiently over long periods 
  6. Integrate with multiple other systems


  1. Track customers’ interactions with your company
  2. Only collect data from known or potential customers
  3. Analyze sales forecasting and pipelining
  4. Can’t collect offline data unless collected manually
  5. Built to engage customers not to ingest vast amounts of data
  6. Limited integration with other systems


  1. Automatically collect data mainly for advertising
  2. Mostly collect third-party data (e.g., through data providers and services)
  3. Reflect anonymous customer identities (e.g., cookies, devices and IP addresses)
  4. Only track online data via a server
  5. Built to retain data for a short period to target ads and build lookalike audiences
  6. Integrate with other marketing systems 


What Are the Benefits of a CDP?

Companies using a CDP are more than twice as likely to have significantly outperformed on their main marketing goal for the previous year. Here are some of the reasons why:  

They Make Data Accessible 

By collecting and unifying customer data from multiple data sources, a CDP makes all data accessible to other systems and business functions. This includes marketing, management, sales and customer service.

They Offer a 360 Degree View

CDPs offer a true 360-degree customer profile, or single customer views – unlike other customer data platforms which have never quite delivered it. These complete profiles can give a more rounded, accurate understanding of customer needs and wants. 

They are Flexible and Agile

CDPs allow marketers to be much more agile and responsive to ever-changing market trends and customer behaviors. As data is collected in real time, your communications can be more relevant. Your strategy can also be quickly acted on by connected systems. 

They Deliver More Accurate Predictions & Insights

Some CDP systems come equipped with AI and machine learning capabilities. This means, as well as unifying your customer data, they can also deliver accurate predictions and insights about customers and their future behaviors.

They Boost Efficiency

Not only can CDPs make data collection and unification much faster at scale, but they are also easier to update and can be used to troubleshoot any issues for all systems centrally. This can reduce IT resources and spend.

CDPs are the next generation of customer data management platforms, which will enable you to merge your online and offline activities, improve customer segmentation and personalization, conduct customer scoring, retarget, and achieve omnichannel automation. 

* Do you want to find out more about how to leverage AI to make data-driven business decisions? Get in touch with our team today for an exclusive consultation.


Let us know the marketing challenges that you’re facing, and how you want to improve your marketing strategy.


Contextual targeting

What Is Contextual Targeting and Why It Matters

Contextual targeting is back, and brands are increasingly using it to find and reach today’s digital customers. According to a recent report, the global contextual advertising market is expected to reach over US$166.2 billion by 2025. So, what exactly is contextual targeting, why does it matter, and how can it enhance your advertising efforts?    What Is Contextual Targeting? Contextual targeting is the practice of displaying ads in the most appropriate context, for example, placing an ad for a beauty product on a fashion website or an ad for running shoes on a health and fitness forum.  Contextual advertising is nothing new. In fact, it has been used in TV and print for years. However, it is now having a resurgence online, primarily influenced by the growing demand for privacy, the General Data Protection Regulation (GDPR), and Google’s scrapping of third party cookies. There are different types of contextual targeting; category, keyword, and semantic. Category places ads on pages that fall into a pre-defined category, keyword matches them on specific keywords, while semantic targeting, the most advanced, looks at page meaning.   How Is Contextual Targeting Different From Behavioral Targeting? Contextual targeting involves placing ads by matching keywords, topics, locations

How to Engage, Retain and Grow Your VIP Customers for Life

VIPs are some of the most profitable customers for e-commerce players, but keeping them loyal and engaged is an ongoing challenge. With emerging artificial intelligence (AI) tools, however, it is now possible to understand your VIPs better, predict their behavior and create hyper-personalized messaging to win their hearts and wallets. Consumer spending can be said to follow the 80/20 rule, meaning that on average, 80 percent of your profit comes from 20 percent of your customers. This 20 percent are your VIPs who represent the highest customer lifetime value (LTV) or profit potential. To ensure these VIP customers spend more and stay loyal, e-commerce companies usually offer special incentives, such as free delivery, early access to sales, invites to special events or birthday vouchers. While these measures can be effective, they are sporadic. Implementing them more often is simply not feasible or practical, and can even damage your brand perception. In order to engage VIPs more effectively, you need a different strategy – one that not only delights on infrequent occasions, but also on a daily basis. This is where AI can help you better target and engage your existing VIPs, and even create new ones through hyper-personalization and prediction.

What Is Retargeting?

Your online business has attracted the interest of potential customers, but they are just not ready to spend money with you yet. According to a recent study, 92 percent of consumers who visit a brand’s website for the first time do so for reasons other than buying. If they do leave without spending any money, it can be very hard indeed to reach them again. This is where you can use retargeting (also known as behavioral retargeting) to bring potential customers back a second time around, driving uptake and increasing revenue for your business.   What Is Retargeting? Retargeting is a way of serving potential customers with adverts once they have expressed an interest in your products or services. Based on their behavior on your site, you would know what products or services they have expressed an interest in, which allows for a much higher degree of personalization within this retargeting marketing. Retargeting is different to remarketing though. Retargeting involves targeting ads to your website’s visitors once they are on the wider web, while remarketing refers to re-engaging customers mainly through email marketing. Dynamic retargeting, meanwhile, lets you show individual visitors ads that contain specific products and services that they