Meow like – Like task micro platform source code

Product function introduction:

In the traditional e-commerce traffic dividend mining today, with the limitations of a single online platform gradually emerging, social e-commerce, sinking market, online and offline integration, began to become a new growth point and new trend in the development of the retail industry.
Due to the daily promotion of platform products, it means that there will be a certain number of new users entering the product every day, so we need some routine, combined with the positioning of the platform, low operating costs and efficient transformation of the new users brought by these daily promotions. For example, the e-commerce platform is more commodity based, the content platform is based on personalized content, and the planning, design, promotion of the activity link is carried out, and the planning of the activity play is carried out. Today, we will take a concrete inventory of what has been effective, long-term new activities that are used by various platforms.
After the registration of new users to provide users with exclusive prices of goods, exclusive coupons, as well as some exclusive rights experience, lottery, etc., are some of the most commonly used means of e-commerce platforms and content platforms. New users brought by old users are brought by “universal word-of-mouth” communication, and the core logic of old users with new is that, based on the recognition of old users for the platform, as well as the user’s social acquaintance chain, through the old users to complete the order in order to obtain red envelopes, take the initiative to share links to friends, themselves and friends can receive red envelopes, and the user takes the initiative to help you pull new. Kill two birds with one stone.
The core of the old with the new is the old user, not the user who downloaded the APP is the old user, so we have to define what kind of user is the old user, generally according to the active situation of the user, such as daily/monthly visits, shopping frequency, customer price, length of stay, platform content sharing and so on.