Ranking of offers in the product profile
Offers are ranked in real time when the user loads one of the product profile pages. Machine learning algorithms use a number of factors for ranking, both financial (CPC and the commission amount) and non-financial (buyer interest in product offers, performance in completing orders, and others).
The position of the product offer (Roffer) is determined using the following formula:
Roffer = ƒ(conv, cbid)
conv is the attractiveness of the product offer for buyers, calculated using machine learning algorithms. The calculation takes the following into account: store brand, number of reviews about the store, store rating, completeness of the product description, price of the item, the delivery terms and cost, and other parameters.
cbid is the CPC in the product profile that was set by the store. If it has not yet been configured, then the minimum CPC is used.