Intelligent Assistant
Chat with our virtual assistant to get answers promptly.
Use Cases
Content overview
Identifying User Churn Risks and Improving User Retention
According to the related analysis data, the cost of acquiring a new user is 5 to 10 times of retaining an old user. When the user retention rate increases by 5%, the revenue can be increased by up to 95%. It is difficult to attract users who have been lost. Therefore, it is important to predict user churn risks in advance. For example, when there is a risk of user churn caused by product experience or competition, you can predict users who are likely to churn in the next week based on the user behavior data in advance, plan pre-recall activities for these users, and wake up the users to effectively improve user retention.
Predicting Potential Paying Users and Increasing Conversion
Product monetization capability is an important factor to determine whether a product can grow smoothly. Therefore, revenue acquisition is also the core of product operations. You may find that the final conversion rate of payment is not ideal even for products with high user activity. The Prediction service precisely segments users who may purchase products in the next week, and automatically creates audiences. Operations personnel can formulate targeted marketing policies or optimize the payment process for the audiences. For example, personalized operations such as ad-free purchase experience and time-limited discount packages are provided for these users to improve the user purchase rate and increase your revenue.
Predicting Potential Return Users and Reducing Customer Acquisition Costs
A satisfied user may bring eight potential transactions. With the increase of traffic acquisition costs, deeply exploring full value of each existing user in the lifecycle and guiding their conversion can effectively improve the product profitability. The Prediction service can help you predict the audience with a return potential in the next seven days in advance and formulate precise marketing policies for these users, such as pushing greetings to old customers and configuring discount packages for members, to further improve the payment conversion of your products and enhance user loyalty.
Search in Guides
Enter a keyword.