The main reason why companies choose to use a customer data platform rather than rely on a very good data storage platform is to build customer profiles . The customer data platform can create a single 360-degree profile view of each customer based on all input data, and this data comes from all online and offline visits, interactions, and information provided by the customer. As customer data platforms become more sophisticated, the outlines of output will inevitably become more precise and insightful.
Through the customer data platform and the profiles it creates, companies can better understand each customer's interests and preferences, and thereby improve customer classification and create a more personalized customer experience for them.
Today, customer data platforms have become an essential tool for marketers to conveniently and effectively understand target customer groups and obtain results.
AI-driven customer data platform: What goes beyond the bahamas mobile phone number list average customer data platform
Of course, not all customer data platforms are created equal. The above benefits are what marketers expect from most customer data platforms. However, even if they have the same functions, the effectiveness of customer data platforms will be quite different.
In the second half of this article, we will focus on customer data platforms that use artificial intelligence technology to optimize results.
AI is known for its processing and learning capabilities. Unlike the human brain, AI technology and models can process large amounts of data in a short period of time, draw patterns and related insights from them, and use them systematically to deal with new data and situations in the future.
With the power of AI, customer data platforms can help marketers better process, analyze and understand customer data, especially at various customer touch points where large amounts of data are generated every day. For example, when building a customer profile, the AI-driven customer data platform can analyze customer purchase records, browsing behavior and demographic information to create a 360-degree customer profile. AI can even fill in the gaps in the customer profile by inferring potential interests and preferences based on observed patterns.