Comments on: eCommerce personalization trends, stats and best practices https://www.dynamicyield.com/article/ecommerce-personalization-must-haves/ Wed, 03 Apr 2024 18:30:49 +0000 hourly 1 By: Meir Fox https://www.dynamicyield.com/article/ecommerce-personalization-must-haves/#comment-340 Tue, 19 Jan 2016 17:32:44 +0000 https://www.dynamicyield.com/?p=9300#comment-340 In reply to Kim Garretson.

Hi Kim, the challenge there would be to gain the information for each customer as prioritizing between feedback is also subject to mathematical calculations. Consumers’ tastes often change over time and good personalization algorithms can accurately meet users’ needs even if they don’t share those details explicitly.

]]> By: Kim Garretson https://www.dynamicyield.com/article/ecommerce-personalization-must-haves/#comment-326 Sat, 16 Jan 2016 15:40:00 +0000 https://www.dynamicyield.com/?p=9300#comment-326 “Effective personalization is mathematically complex – Determining statistical significance for personalized recommendations is a huge mathematical challenge.” And so, why not add the most effective and simple dataset for personalization: Just ask consumers for permission to market to them 1:1 with personalized triggered alerts when criteria they set is met by the brand?

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