1. First listing.
From the listing product information and ranking information, you can judge that this is a first listing. The top 4 recommended products with shared attributes. Click on the top 3 product links to take screenshots of their ranking information.
We can find that the rankings of the recommended products in its recommendation column are lower than its own ranking, so the first isting serves as the traffic entrance. The traffic entrance is the beginning of the user’s browsing cycle, so it can be judged that the product conversion rate in the first listing is low, but the product image exposure conversion rate is high, and the listing traffic is high.
From the product information and ranking information of another listing, you can judge that this is a first listing.
The top 4 recommended products with common attributes. Click on the top 3 product links to take screenshots of their ranking information.
We can find that the top two products recommended in its recommendation column are ranked higher than its own ranking, and one product is ranked slightly lower than its own ranking, so the first listing serves as the end point of traffic. The meaning of the traffic end point is that most users will place an order after clicking this first listing, so we can judge that the conversion rate of this first listing is high (because of the high conversion rate, the A9 algorithm does not need to guide traffic to the next listing, and It is to directly push a few high-ranking listings to end this cycle).
2. Central listing.
A listing’s product information and ranking information can be judged to be a central listing (although the ranking of small categories is higher, the ranking of large categories is lower).
The top 4 recommended products with common attributes. Click on the top 3 product links to take screenshots of ranking information.
We can find that the ranking of the first product recommended in its recommendation column is much higher than its own ranking, and the rankings of the last two products are slightly higher and slightly lower than its own ranking, so the middle listing is responsible for traffic. The role of transfer station.
Click on its recommended product link, its recommended product column.
This proves that the middle listing is paired with the high listing. Therefore, it can be judged that the conversion rate of this middle listing is likely to be higher than that of the high listing that is associated with it.
3. Tail listing.
A listing’s product information and ranking information can determine that it is a tail listing. The top 4 recommended products with shared attributes. Click on the top 3 product links to take screenshots of ranking information.
We can find that the ranking of the first product recommended in its recommendation column is much higher than its own ranking. The last two products are products from the same brand store, and their rankings are very low, so the tail listing is to restart traffic. The role of circulation.
The product information and ranking information of another listing can determine that this is a tail listing.
For the first four recommended products with common attributes, we can notice that the ones pushed here are all new products in the brand store, so we can judge that this tail listing serves as the end of the traffic cycle.