Remove Facebook Remove Marketing Attribution Remove Privacy Protection Remove Transparency
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How to Ensure Accurate Results from your A/B Tests Despite Apple’s ITP

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ITP uses the Machine Learning Classifier , a machine-learning model, that identifies domains with cross-domain tracking capabilities and then restricts cookie creation under those sites. The lack of transparency regarding who could access the information made it difficult to know if companies were using this responsibly or not.

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The Entrepreneurs’ Guide to A/B Testing on Shopify Stores (+ 9 Shopify Entrepreneurs Share Their A/B Testing Stories With Results)

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Mail Privacy Protection (MPP) has made sure of that. Your marketing attribution sucks Tools can’t give you any usable data and your team can’t attribute revenue to specific changes. Instead of guesstimating the effects of your changes, the results are transparent and leave little room for misinterpretation.

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The Entrepreneurs’ Guide to A/B Testing on Shopify Stores (+ 9 Shopify Entrepreneurs Share Their A/B Testing Stories With Results)

Convert

Mail Privacy Protection (MPP) has made sure of that. Your marketing attribution sucks Tools can’t give you any usable data and your team can’t attribute revenue to specific changes. Instead of guesstimating the effects of your changes, the results are transparent and leave little room for misinterpretation.