4 Common Mistakes to Avoid while Performing an A/B Test ⛔️
Say you are working at Netflix and you have decided on two different banners for an upcoming series named Breaking Bad. Your goal is to optimise for best CTRs across impressions for the banner of Breaking bad. In such a case, companies experiment with A/B testing methodologies. Expose both the banners to 50–50% of the total audience and segment it based on the geography, age group, native language, etc. Then the results are compared to see which segment is getting better conversions. However, its common for an A/B test to yield false results and misguide the goals. You might see some skewness in the results for a segment, for specific time frame. So, what are the common mistakes that might cause these issues? Let’s find out.
Time to read: 4 minutes
Date: February 2022
Link: 4 Common Mistakes to Avoid while Performing an A/B Test ⛔️
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