Jun 18, 2022
In Welcome to the Forum
Solution architects to reflect the industry understanding in product planning for specific industries or business scenarios, and set it as a product Roadmap, so as to carry out one by one. Realize; or combine products with horizontal or progressive relationship executive list in the form of solutions, strengthen product correlation, and conduct marketing through various market behaviors. On the other hand, although we can strengthen product relevance executive list through product planning and design solutions, due to the different stages, usage, and business perspectives of actual users or enterprises, the products that users may use in actual use may not be the same as those of our products. Estimated product mix varies. Taking data analysis products as an example, when a customer creates more than a certain number of user groups, his executive list demand for group operation gradually increases, then we may think that it may be a very good time to recommend relevant personalized automatic marketing products for customers; or, when The client executive list has built multiple separate event analysis charts, so recommending a related funnel analysis model or a retention analysis model may be the next step he is planning. But it is also possible that the customer's needs executive list stop there, and there will be no deeper business needs. Although based on industry experience, we can speculate that customers may make cross-combination purchases, but in fact customers executive list need more than that, or there is a bias in our subjective inference process. Then, in order to verify more effectively, data mining is required. Here we can learn from the relevant rules of association recommendation and briefly explain association recommendation. Association recommendation has three core data: support, confidence, and executive list promotion. Support: measure the number of related application scenarios (in human words: the frequency of related combinations).