"User activity data" is a common data indicator, and it is bulk sms service also the core indicator of many product business lines. When the user's "drainage" effect is stable, it is necessary to consider the issue of "interception", how often the user is active, what is the user's first use experience, how to improve user activity, how to make users stay (reuse), and so on. The analysis of active data is not to allow users to walk through the scene every day and earn some advertising bulk sms service fees, but to learn about the health of product business lines, improve paid conversion rates, and provide stable data support for referrals from old customers. Users conduct layered operations, focus on maintenance , and continuously optimize and adjust business growth strategies.
However, in essence, so-called Internet products bulk sms service talk about active users, just like offline stores bring new and old customers to the store. Therefore, there are too many influencing factors of "user activity data". We must focus on the big and let go of the small, and focus on the implementation strategy. We can't just talk about being active, and don't pay bulk sms service attention to conversion. Promotion and retention complement each other. Through the operation strategy of content, brand, activities and other aspects, the user activity data is improved, thereby improving the overall profitability of the product business line. 02 Next, let's take a look at the analysis dimensions of "active data"?
The number of new users and returning users bulk sms service must be greater than the increase in lost users in order to maintain a continuous increase in active users. As shown in the figure below, it is like a large pool. We will keep pouring water into it, but the pool will also leak. If the rate of water leakage is too high, the pool will be dry. When new users decline, it may bulk sms service be due to fierce market competition, revision of product functions, and reduced launch costs, etc., which may lead to inability to attract new users. The increase of lost users may be due to factors such as adjustment of operating strategies and offline product functions.