Many friends may often decorate their stores, so how to judge the effect of our store decoration and how much impact it will have on sales? “AliExpress” “Data Aspect”-“Shop Decoration” can help us.
There will be a small triangle icon above the time node when the decoration event occurs. At the same time, the data report below will also show N without decoration or Y with decoration. Through the data report, you can view the data changes of the store before and after decoration. . Here we mainly focus on the average visit time and bounce rate. We found that the store was renovated on May 3. After the renovation, the average visit time on May 6 was 87. Compared with the 79 before the renovation on May 3, the bounce effect was significantly improved. The failure rate was 72% before decoration and 73% after decoration. The effect was not much different. These data show that the decoration of the store on May 3 was effective. If the decoration of the store has no effect or the effect declines, it means that the decoration of the store is better than the last time. It is not attractive, which requires us to optimize the elements and guidance of the store decoration again.