trends and combining experimental response data,
Posted: Mon Dec 23, 2024 6:50 am
Select users to issue coupons based on the response graph results. The response graph shows the actual response of users at different percentiles, such as the proportion of coupon usage.In the coupon distribution activity, the response graph can show what proportion of users in each percentile user group actually used the coupon. How can user operations accurately distribute coupons by building a t model? According to the cumulative response graph above, we can see that the curve gradually decreases from close to the horizontal line and finally tends to the horizontal line. This shows that on the left side of the graph, the response rate predicted by the model is very high.
As you move to the right, that is, to cover iran telephone code more users, the response rate gradually decreases. In order to determine how many users to issue coupons to, several factors need to be considered. Overall response rate This is the average proportion of all users who respond to coupons. In the response graph, this value seems to be. Target response rate The minimum response rate you want to achieve by issuing coupons. This is usually higher than the overall response rate. Cost and benefit The cost and expected benefit of issuing coupons. We need to find a balance point to maximize benefits while keeping costs within an acceptable range.
On the cumulative response graph, you can find a point where the response rate meets our target response rate. Start from the left side of the graph and move right along the curve until you find a point whose response rate is equal to or slightly higher than our target response rate. The percentile corresponding to this point is how many users you need to issue coupons to. For example, if our target response rate is , we need to find a point on the curve with a response rate of . Assume that the percentile corresponding to this point is , which means we should issue coupons to the users in the front.
As you move to the right, that is, to cover iran telephone code more users, the response rate gradually decreases. In order to determine how many users to issue coupons to, several factors need to be considered. Overall response rate This is the average proportion of all users who respond to coupons. In the response graph, this value seems to be. Target response rate The minimum response rate you want to achieve by issuing coupons. This is usually higher than the overall response rate. Cost and benefit The cost and expected benefit of issuing coupons. We need to find a balance point to maximize benefits while keeping costs within an acceptable range.
On the cumulative response graph, you can find a point where the response rate meets our target response rate. Start from the left side of the graph and move right along the curve until you find a point whose response rate is equal to or slightly higher than our target response rate. The percentile corresponding to this point is how many users you need to issue coupons to. For example, if our target response rate is , we need to find a point on the curve with a response rate of . Assume that the percentile corresponding to this point is , which means we should issue coupons to the users in the front.