Product ranking on Amazon is based on machine learning algorithms.
Product ranking on Amazon is based on machine learning algorithms. These models are using multiple sources of information to index every product on all relevant search terms. One of the data points that is used is the sales history of the product. This signal can be boosted using Amazon deals of the day.
At m19, we analyzed data cross hundreds of amazon accounts to measure the impact of deals of the day on the product’s sales velocity. And guess what, deals have a great positive impact on 95% of products that didn’t run out of stock in the following weeks.
Here is a short description of the experiment :
Below is an extract of products that got the Deals of the day boost. The impact is obvious in the sales velocity. The lasting positive effect on some specific keywords rank can be also a good metric to look at to measure the deal's impact.
In addition to sales velocity, every Amazon seller who is running deals of the day should be closely monitoring the following :
Deals have 2 weeks lasting boost effect on promoted products.
Every eligible seller should consider using them to increase profit or liquidate stock while keeping an eye on product margins because of the deal's discount.
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Endlich hat es Amazon seinen Partnern ermöglicht, stündliche Statistiken für Anzeigen auf den globalen Marktplätzen abzurufen — also haben wir getan, was wir tun mussten: Wir haben die Zahlen analysiert und nach einer Möglichkeit gesucht, unser Tool zu verbessern.
Finally, Amazon allowed its partners to retrieve hourly stats for Ads on the global marketplaces, so we did what we had to: we crunched the numbers looking for a way to improve our tool.