Since window recommendation can increase exposure and ranking, you must not add window display slots to products randomly. Many friends add them randomly without knowing it. If they feel that the product is good, they add window display slots. This is wrong. If Adding those products that do not perform well to the window recommendation will not have the effect of attracting traffic, but will waste important resources. Therefore, we must select those products with potential and add them to the window to maximize their value.
How to add window recommendations to products? First open the “Product Management” in the “AliExpress” backend. Click “Window Recommendations” behind the product to add them. You can also add window recommendations in batches in “Other Batch Operations”.
We can see the products that have been added to the window recommendation, and the system will also display how many window recommendation slots are left.
You can see that there are 10 windows we are using, and there are 10 windows left available, which means we have a total of 20 window recommendations. Choosing which products to add window recommendations still requires us to perform data analysis. So, how do you analyze data to understand whether a product has potential? Open the product analysis in the data aspect.
Click “Expand Data Analysis” of the product, and we can see the data performance of this product on “AliExpress”. In the search exposure, we see that the exposure of this product is 16,190, which is much higher than the industry average of 364. It is already very close to the top 10. In terms of the number of visitors, our visitors are 307, which is still far behind the 794 of the industry’s top 10. However, Based on the feedback from the data, this product still has a lot of room for improvement. It is a product with potential. For this product, we can add a window recommendation position. However, to be on the safe side, I will look at the search click-through rate and transaction conversion rate next.
The click-through rate of this product is 1.80%, which is very close to the industry average click-through rate. The conversion rate is 3.26%, which is beyond the top 10 in the industry, but it is a bit far behind the industry average data. After analysis, we found that it would be good to optimize the click-through rate a little bit, and the conversion rate can also be improved by doing more activities. Therefore, this product has great potential, and it is worth adding window recommendations to it, and this kind of data shows the product Adding window recommendations will have good results.
In addition to adding window recommendations to products with good data performance, we can also add them to newly uploaded products, because newly uploaded products do not have much data until a certain period of time passes. If we think that If the new product is good, you can also add window recommendations. Test it for a few days to see if the data has improved. If there is no improvement, quickly cancel it and replace it with other products. The products left after such back-and-forth testing are products that can bring a lot of traffic to the store. If the products recommended in the window display perform well, give them more display window recommendation opportunities. If the products do not perform well, there is no need to always give them the window recommendation position. This is the rational use of the display window recommendation position.