What’s the average cost-per-conversion across your existing campaigns? Use it as the basis for your calculations. To calculate the anticipated cost of your Facebook split testing campaign, take a look at your other campaigns. Or, you can spend your limited advertising dollars on the quest to a single (but powerful) Facebook ad hack. You can start by creating large multivariate A/B tests with extensive budgets. Analyzing A/B test resultsĪnother question we get asked a lot is, “ What’s the right budget for A/B testing on Facebook?” There is no firm rule about the number of Facebook campaign results required for reporting, but I’d say it makes sense to collect at least 300-500 clicks per variation and reach at least 10,000 campaign impressions before drawing any conclusions.Īlternatively, as we mentioned earlier, you can keep testing until you reach statistical significance. Known as the learning phase, this process allows Facebook to gather the data it needs to optimize ad delivery. (You’ll probably need to wait for longer anyways to collect enough results).įacebook even says that it takes a few run-throughs to get your ad delivery right. This gives the Facebook algorithm the time to optimize your campaign. Tip: Wait at least 24 hours after publishing before evaluating your split test results. Instead of website conversions, enter either the total number of ad clicks or the number of campaign conversions per ad or ad set. Instead of website visits, enter the number of impressions on your ad or ad set.
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