A/B Test Significance Calculator by DRIP
I just created a Google Sheet that calculates the real profit impact of your A/B-Tests. After running 4,000+ experiments for 7–9 figure Ecom brands, we realized one simple truth:
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What you get
A higher Conversion Rate doesn’t always mean more profit.
Because behind every “winning” test, there’s a hidden question:
Did it actually make us more money?
That’s exactly what this Google Sheet helps you find out:
\- Compare Control vs Variant
\- See how CR, AOV & CM3 affect your bottom line
\- Get instant profit deltas - no more guesswork
Just plug in your data see your margin impact make smarter decisions.
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Free. Five quick questions, then it's yours.
Not sure where your shop leaks? Book a call and we'll tell you where the money gets lost and what to test first.
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More resources
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Calculators for planning and reading your A/B tests: significance, sample size and test economics.
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DRIP Iterative Prioritization
A prioritization system to decide what to test first, reduce low-impact experiments, and continuously improve test velocity.
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DRIP Rapid Testing Protocol
A fast execution protocol to go from hypothesis to live experiment with clear ownership, timelines, and feedback loops.
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Book a call with the team and tell us about your shop. We'll talk through where it stands, where you want it to go, and how we'd get you there. If working with us isn't the best return on your money, we'd tell you rather than take it.
30 minutes, and you'll know exactly where your shop stands.