CDP – 5 elementare Schritte für die Integration einer Customer Data Platform
Data for the win: Du hast dich dafür entschieden, eine CDP einzusetzen? Das war schon mal der erste,…
irst-party data is one of the most important raw materials for marketing: it gives us crucial insights into our customers’ behavior, from which we must derive further communication measures. Unfortunately, however, managing it is anything but easy.
Many different data sources—here a newsletter subscription, there a purchase in the online shop, over there a purchase in brick-and-mortar retail—often lead to a chaotic picture. All it takes is two different email addresses or even just a typo in the email and you suddenly have two separate records—even though it’s the same person. And how can we feed the knowledge gained from the data back into the marketing channels again in a simple and automated way? CDPs were developed precisely for these challenges and use cases.
A Customer Data Platform is a system that consolidates first-party data—i.e., a company’s own customer data—cleans it, and creates a single, carefully curated customer profile from the heterogeneous information. By additionally using machine learning algorithms, customer behavior patterns can be predicted, enabling your marketing team to run highly targeted campaigns. A CDP also optimizes orchestration by feeding content back into the digital source channels.
To create as accurate a picture as possible of individual customers, a Customer Data Platform should contain all data from your company’s sales and marketing channels: campaign, behavioral, and transaction data from websites, social media, shop systems, mailings, call centers, apps, and other channels.
“Personalization” has been one of the buzzwords in marketing for several years. But personalization is only as good as the quality of the data. If important information is missing—for example because a different email address was provided during a transaction—your personalization will never be optimal. And this is where a CDP helps you, by intelligently consolidating and cleansing first-party data and creating a 360° view of customers. You will probably lose a large portion of customer records after the implementation of a CDP—but the individual records gain enormously in quality and value.
The customer profile created in the CDP therefore enables better personalization as well as customer segmentation according to geographic, demographic, and behavioral criteria.
Further benefits include:
Simplified access to customer data—you no longer have to search in different systems, but have a single source of truth for your MarTech stack at hand.
Data export to the data warehouse for further analysis of the data.
Use of customer data for different marketing channels—you can push it directly from the CDP back into the source channels.
Features for automated email campaigns.
A CDP is particularly suitable for companies that collect a lot of data from various sources and have a large customer base—in short: companies that handle large volumes of data. This mainly affects B2C companies. But B2B companies are also aggregating more and more data that they should use for personalized campaigns or for retargeting on social media. Whether B2C or B2B: the customer journey is becoming increasingly complex.
If data is meant to be the foundation of your marketing, then you should keep it clean and manage it as centrally as possible in order to develop your subsequent measures and campaigns from it. And that is exactly what a CDP supports you with. At some point, you will probably reach the point where your data can no longer be managed in any other way than through a CDP.
The functions and features of a Customer Data Platform include:
Core functions
Collect, analyze and centrally consolidate first-party data
Standardize customer profiles and create a clean, unified customer view
Segmentation based on geo-, demo- and psychographic criteria
Predict behavior patterns using machine learning
Feed marketing content back into the various channels
Common features
Conversion Tracking
Data Governance
Data Masking
Data Migration
Data Quality Control
E-mail Marketing
Real-time Data
Engagement Tracking
Campaign Management/Analytics
Lead Qualification/Management
Predictive Modeling
ROI Tracking
The CDP Institute distinguishes four types of CDPs:
Data CDPs
These CDPs merely collect data from various systems, create customer profiles, and store the data so that external systems can access it. “This is the minimum set of functions required to meet the definition of a CDP.”
Analytics CDPs
In addition to data management, these CDPs offer additional analysis and visualization capabilities. “The applications always include customer segmentation and sometimes extend to machine learning, predictive modeling, revenue attribution, and journey mapping.”
Campaign CDPs
In addition to the data and analytics functions, these CDPs enable personalized messages to customers, content or product recommendations, outbound marketing campaigns, and more.
Delivery CDPs
These CDPs have the functions of the other CDP types, but can be linked to all your digital marketing channels. “Delivery may be through email, website, mobile apps, CRM, advertising, or several of these. Products in this category often started as delivery systems and added CDP functions later.”
There are several providers of Customer Data Platforms, so you should ask yourself a few questions in advance to find the right software for your needs:
Is there enough First Party Data available to create meaningful customer profiles by merging it?
Do you want to use a CDP for a simplified data overview, or do you need analytics tools for segmentation as well as cross-channel campaign functions?
Which target customers do you want to reach with your campaign, and through which channels do you want to address them?
What information do you need for personalized marketing campaigns?
Do you need Real Time Data?
Is the CDP compatible with your tech stack?
Which systems must have interfaces (CRM, email software, analytics tools, social media tools)?
Which employees should work with the CDP? Which departments need to be involved in the (onboarding) process?
Is the CDP set up in a way that the marketing team can work with it independently after setup, without IT support?
In which languages must the user interface be available?
In which region/in which country must the software’s servers be located? Keyword: GDPR-compliant
How extensive do the provider’s onboarding and support services need to be?
What budget range per year/month, or per employee, have you planned?
Important: To leverage the full potential of a CDP and run successful campaigns, the structures within the company often need to be optimized and transformed. This enables marketers, analysts, and sales to work productively and closely together.
Implementing a CDP means an enormous change in data management for companies: various departments need to be involved and multiple data sources must be “tapped into”. This doesn’t happen within a few days. That’s why it’s crucial to choose the right process when selecting the software. And that’s where Matchilla helps you:
The matching process saves you the time-consuming research involving search engines, comparison lists, etc. On our platform, you’ll find catalogs of criteria and, combined with the personal expertise of the Matchilla team, you can match the three most relevant providers to your requirements.
Till Zier is CPO at Matchilla and, as a MarTech and data expert, reports in the MatchZINE on news and trends in the areas of automation, analytics and data.
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