Proactively triggered behaviors , funnel analysis should use the group viewing function to find out the groups with low conversion rates by grouping the types of products, prices, whether to participate in activities, and related user attributes such as gender, age, and region. , carry out strategic improvement on product content. At the same time, the method to improve the conversion of the funnel is to check the user path of the lost crowd, conduct the drainage action in time, and remind the user to return to the shopping cart to make a purchase. For passively triggered behaviors , funnel analysis should analyze the reasons for the failure of passively-triggered events, check whether there are product-related issues,
And then check the number of mobile number list passively-triggered events and previous events, and check for product usability issues. And whether the lost people in the funnel are really lost, the answer is no . Due to many constraints when the funnel is established, such as the triggering action of the previous item must be before the triggering action of the next item, and the time range from the first step to the last step must be within a given range. The conversion rate shown by the final funnel is actually based on the conversion rate from the perspective of the person who established the funnel, rather than the real behavioral trajectory, and its nominal loss is not a real loss.
The following conclusions will be explained one by one. The idea of funnel analysis In a funnel process, if there are multiple trigger behaviors, the funnel conversion analysis ideas and techniques under different trigger mechanisms are completely different. The active trigger mechanism should make more use of some attributes of the product itself for detailed analysis, and at the same time , the user behavior of the lost crowd should be retrospectively summarized , while the passive trigger mechanism should be analyzed around the system stability .