First, let's understand how the algorithm works
Our algorithm first randomly picks a collection from the list of collections attached to the campaign. If one of the collections has more products than the other collections, the chance it would get picked gets higher.
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Once the collection got picked, our algorithm picks a random product inside it. Our algorithm does 10 product jumps each time it randomizes a new product to post. It means that the first product posted will be between product #1-#10, the second will be one of #10 - #20, and so on.
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Improving the randomness
Sometimes, the merchant can have a scenario where the random algorithm is not "random enough". It can be felt in campaigns with one or few collections, while each collection has many products.
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We suggest splitting the big collection into smaller collections (up to 200-300 products). It would improve the randomness of the collection immediately.
Improving the randomness of the campaigns
Written by Pavi
Updated over a week ago