A/B significant calculator gives you insight into how your ad testing variations might impact your sales or have already impacted your sales based on your ad campaign figures.
Today almost all ad networks offer A/B testing features to enable advertisers to test ad campaigns before putting in bigger budgets on what works best for them.
We have made it easier for you to understand how your A/B testing changes impact your ad performance and sales by using the below calculator. This way, you will be able to know what to focus on more.
A/B Testing Calculator
Find A/B Significance
Understanding your A/B test significance results.
If you found out that your Test "A" converted 35% better than Test "B". Be sure that 99% that the changes in Test "A" will improve your conversion rate. This is the concept of A/B testing calculator.
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