It can be said that all optimizations within the product are to increase the final conversion rate . For example, registration, purchase, content consumption, increasing the depth of participation, etc. At the same time, we must reduce the number of users lost during each conversion process and recall lost users when necessary: Today's traditional data analysis tools are based on platform traffic , focusing on pages and traffic, and discussing problems with web pages. Without the concept of users, how can we know whether the user experience is good or not? How to do user operation? GrowingIO's funnel analysis is based on user behavior. You can know which landing page the user entered the product from, and in which conversion process the user was lost, which pages and behaviors he experienced before that, which operating system the user used, and which city he was in... Then, you can make a hypothesis about the cause of user loss and initiate a recall through operational behavior: Therefore, if we want to discover the differences, we need to customize the grouping and dimensional splitting according to the characteristics of the product and the needs, and finally locate the problem and find the optimization space. GrowingIO's funnel analysis supports specific target users and cross-dimensional analysis, maximizing drill-down and locking in user groups, more accurately locating problems, proposing hypotheses, and finding possible solutions to problems: The author of this article @ GrowingIO compiled and published by (Qinggua Media). Please indicate the author information and source when reprinting! Product promotion services: APP promotion services Advertising |
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