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Emails A/B Test Significance Test
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la hutte - growth studio - lesensdelahutte.com
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This significance test will let you know which version of your email A/B test is the most performant - and on which metrics.
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This sheet is locked - copy it in your Drive to make changes, into the blank cells - the grey ones update themselves ;)
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KPIUnitValue
Results (A vs. B)
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VERSION ASent volume#10,000
Uplift in Open Rate
-63%95% significanceYES
99% significance
YESp-value0.0000Z-score82.20
Std. Err. of difference
0.006
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Email opens#3,000
Uplift in Click Rate
0%95% significanceNO
99% significance
NOp-value0.5000Z-score0.00
Std. Err. of difference
0.004
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Open rate%30.00%
Uplift in Open to Click Rate
167%95% significanceYES
99% significance
YESp-value1.0000Z-score-22.24
Std. Err. of difference
0.009
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Email clicks#1,000
Uplift in Open to Conversion Rate
167%95% significanceYES
99% significance
YESp-value1.0000Z-score-5.94
Std. Err. of difference
0.004
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Click rate%10.00%
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Open to click rate%33.33%
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Conversion#100
OPEN RATE (95% significance)
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Conversion rate%1.00%Version Bis better!Version B has a higher probability of being opened by the recipient.
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Open to conversion rate%3.33%
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Click to conversion rate%10.00%
OPEN TO CLICKS RATE (95% significance)
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Version Ais better!Version A has a higher probability of being clicked by the recipients who open the email.
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VERSION BSent volume#10,000
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Email opens#8,000
OPEN TO CONVERSIONS RATE (95% significance)
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Open rate%80.00%Version Ais better!Version A has a higher probability of converting opening recipients.
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Email clicks#1,000
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Click rate%10.00%
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Open to click rate%12.50%CHECKLIST
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Conversion#100
• Keep subject line from Version B
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Conversion rate%1.00%
• Keep sender identity from Version B
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Open to conversion rate%1.25%
• Keep time sending period from Version B
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Click to conversion rate%10.00%
• Keep CTA from Version A
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• Keep messaging & approach from Version A
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Do you want more ideas to improve further your rates? We can help!
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