What problems need to be solved in the digital upgrading and transformation of enterprises? What are the scenarios? These four scenarios can be summarized in the customer executive list cases we serve. 1. Connect data across all links and build enterprise CDPs - breaking data silos In the information age, enterprises have accumulated a large amount of data. Back-end business data, local membership data, scattered sales data and operational data on various executive list software platforms. When we talk about data as assets, if your data is isolated, cannot be connected in series, cannot be merged, and cannot be identified, then this data is just invalid information in my opinion, and cannot be called valuable data at all.
Let's take an example. If you have accumulated a group of fans through Toutiao, Xiaohongshu, Douyin and current advertising, you can convert the executive list product. Then the user's basic information, consumption information, daily interest tag information, geographical information, etc., are scattered on different platforms. I call this data: "platform fans" rather than brand fans. The loyalty of these fans is in the platform, not the brand. Because they convert executive list transactions through the platform's videos and content. What users remember is that the quality of things bought on Douyin is not bad, there is a course on Toutiao, etc.
As a corporate brand, it is necessary to obtain users' profiles, membership labels and portraits, and must obtain comprehensive and valuable data. It executive list is hoped that through the large traffic on the platform, users will be converted into their own brand private domain traffic pool. If all the data is not connected, it will be the first stumbling block executive list for digital upgrade. The figure below shows the data middle-office construction path plan we designed for a digital upgrade and transformation strategy consulting for a certain enterprise. (Some sensitive information has been processed and adjusted, and what is left is only general path information) How much does it cost to digitize a business? Only when the data is all open, identifiable, and flowable can the data be valuable.