We want more than that
CDP can accumulate consumer behaviors for a long time, collect and analyze various behaviors in customer websites or databases. However, many customers often ask me, the most headache for me is: what we know is the behavior of my consumers, when I came to buy, what I bought, how much I spent, how often I spent it, and so on... But we don’t know at all what their behavior and interests are after customers leave my website. OMG! What's the solution?
What is CDP?
CDP is the Customer Data Platform. What are the characteristics?
1. Collect first-party data: messages that mainly rely on first-party data. CDP mainly uses data such as email, phone number, address, consumption behavior, browsing behavior, offline store visits, and other data.
2. Compliance with privacy policy: The application of information needs to be de-capitalized for storing and analyzing consumer data. CDP provides an opportunity to use consumer data in a way that protects consumer privacy.
3. Aggregate data with the same ID: consumer information collected by CDP from multiple sources. All these detailed information correspond to an ID, which can be analyzed to find insights about consumers.
4. Improve consumer communication efficiency: CDP tracks the online browsing process of consumers and the record of past marketing methods, which helps enrich the consumer experience, improve the waste of past repeated delivery of advertisements, and increase users' trust in customers .
5. Real-time information feedback: quickly provide users with the latest browsing information. This helps customers quickly and accurately provide content or product information that users may need.
Differences between CDP and DMP
CDP is not an upgraded version of DMP. What is the difference between them? We will tell you from the analysis in the table below.
Get through the data, we can see more clearly
We have opened up the link between CDP and DMP. CLICKFORCE has a variety of third-party data to help customers integrate and return to their accounts, so that customers can more clearly understand the behavior of each consumer.
For example, for customers of fine jewelry, CDP can label each user by category, including the classification of consumption power, the category of favorite products, the probability of repurchase and the time. We can understand a girl who is fascinated by personalized earrings. In addition to recommending her bracelet from the data analysis, at the same time, adding the application of DMP multi-data, we can also know from the behavior data outside her station that she is interested in sports, fashion, and animation. Users of, usually go online during the noon break and evening commuting time. The word cloud they pay attention to: shell bag, black, leather pants, boyfriend style, suit, Martin boots, Oversize... through the integration of internal and external information Connect, help customers fully grasp consumer behavior.
Combining our own data with external data, open our hands to welcome the multiple applications of CDP+DMP, and let us get a glimpse of the complete picture of consumers.