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SplitTester is an extremely simple-to-use, straightforward tool that will help you decide if the ad you have picked as your best performer will in actual fact be the long-term best performer.
All you have to do is enter the number of clicks for each ad you have split-tested and the clickthrough rate for each, and SplitTester will run the numbers through existing market data to determine which of the two is most likely to pay off in the long run. The result is a percentage confidence factor for the winning ad.
SplitTester, in essence, applies the principles of statistical significance to the comparison of two ads that you are trying to decide between, even if the number of clicks you have collected for each in your A/B testing is relatively low. According to the website, a minimum of 30 clicks is required in a typical scenario, but SplitTester is set up to compensate for the fact that your tests are likely to have garnered less clicks than that for at least one, if not both, of your ads under scrutiny, within the timeframe that you want to assess them.
SplitTester is the brainchild of Brian Teasley and Perry Marshall. Teasley offers a more robust, updated version of the free tool on his site (http://www.teasley.net/free_stuff.htm) which can analyze up to 15 ads at one time. The cost of this "Teasley Statistical Calculator" is $49.99. In addition to a graphical interface and some other enhancements, it also calculates Confidence Intervals for cost per response data.
If you find the free version (SplitTester) useful, you may wish to investigate the paid tool. You can download a non-working copy of the paid version at Teasley's website to assess its appearance and options. The tool works via an Excel interface.
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