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Conversion Confidence Calculator

Conversion Confidence Level Calculator
Enter the number of visitors and conversions for each version.

Conversions Visitors
Version A
Version B
Confidence Level:

Assuming you’ll be getting the exact same conversion
rates going forward, here are some confidence levels
based double, triple and quadruple the traffic.
Confidence Level: for twice the traffic
Confidence Level: for 3x the traffic
Confidence Level: for 4x the traffic

 

What do the numbers mean?

If Version B is converting better than Version A and the confidence level is 91%, that means that going forward, there is a 91% chance that B will will convert better than A.

PLEASE NOTE:
The confidence level says nothing about the absolute conversion values for Version A and Version B.
In other words, if Version A is currently getting 1.5% conversion and Version B is getting 2.7% conversion, even if the confidence level is 99%, it does NOT mean that you can be 99% confident that B will get a 2.7% conversion rate.

It only means that you have enough data to be 99% confident that B converts better than A.

If you’re looking for a calculator that works the other way around (how long will it take to reach 95% confidence) check out Google’s own duration calculator at:
https://www.google.com/analytics/siteopt/siteopt/help/calculator.html

9 Responses to “Conversion Confidence Calculator”

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  5. A Says:

    How would you use this for A/B testing for PPC ads? Perhaps Conversion = CTR, Visitors = Clicks?

  6. ophir Says:

    @A

    For PPC you would use:
    visitors = impressions
    conversions = clicks

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  8. Lasse Rasmussen Says:

    Very nice tool indeed. What assumptions are you making for the variance of the datasets for version A and B. Or are you not using a t-test of some sorts for the confidence level calculation?

    We have made our own tool for PPC purposes where each daily day of data is a separate data point and we use a t-test to calculate confidence levels. It works great but is a little cumbersome to use at times and your approach look neat

  9. Rob Kingston Says:

    Fantastic calculator, Ophir.

    In many respects, this is better than Google’s Test Duration Calculator as you can see how many visitors will be exposed to a variation based on how much traffic you estimate you’ll recieve.

    The only shortcoming is that it doesn’t take into account multiple variations (i.e. if you’re running an MVT test).

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