Microsoft stores the information anonymously. No personally identifiable information is submitted to Microsoft. We may use the information collected through cookies to generate statistics about ad performance. Through Microsoft Ads Conversion Tracking, Microsoft and we can track which ads users interact with and which pages they are redirected to after clicking on an ad. The data is stored anonymously by Google. No personally identifiable information is submitted to Google. We may use the information collected through cookies to compile statistics about ad performance. Through Google Ads conversion tracking, Google and we are able to track which ads users interact with and which pages they are redirected to after clicking on an ad. In other words, product ranked #1 carries a lot more weight than product ranked #6 product ranked #6 carries slightly more weight than product ranked #8.Our shop uses Google Ads.
Then the point value of every endorsement is adjusted by a geometric progression with common ratio slightly below 1. Being included in top 3 also carries bonus points. Being ranked #1 carries a lot more points. Currently we use ranking methodology 0.7.2: being included in the expert ranking scores points. Step 4: assign weights to expert endorsements and aggregate opinion.For variations of the same products our team needs to determine whether the products are the same or not (is iPhone 13 64GB and iPhone 13 128GB the same model or not?) Step 4: determine if experts are endorsing the same product.Our team has to manually exclude products that don't match product category. In their creative wisdom, experts often tend to include accessories or alternatives in their ranking. Since robots inevitably mess up, team manually checks the data. Robots try to import the rankings that experts independently publish. Robots determine most respectable sources on the Internet, then the team manually chooses the best ones.
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