Ad testing metrics

Learn how to use ad testing metrics to make test decisions

Ad testing metrics define how valid test results are produced, together with ad testing thresholds. Adalysis can test six metrics when generating ad test results, independently of each other.

You can disable metrics that don't apply to your account or campaign. That means they won't show on test results, so you can focus on what's most relevant to you. For example, accounts that don't set a conversion value won't need test results for conversion value/cost and conversion value/impressions.

You can find your metric settings under Ad testing.

How to use the metrics to make test decisions

When Adalysis finds a statistically significant test result, we'll display the confidence level as either 90%, 95%, or 99%. Confidence values of less than 90% are displayed as --. For example, these test results have statistically significant CTR results with a confidence of 99%.

Higher confidence means the result's long-term validity is more reliable. However, higher confidence levels generally require more data. Depending on your test strategy and account volume, you'll need to decide what confidence level you want to reach before pausing losing ads. You can also use thresholds to control the volume of data needed.

Definitions

Abbreviation
Metric
Definition

CTR

Click-through rate

The ratio of clicks and impressions

Conv. rate

Conversion rate

How often a website visitor completes a desired action, like making a purchase, out of the total number of visitors

Conv. / impr.

Conversions / impressions

The number of ad impressions that result in conversions

Cost / conv.

Cost / conversions

The cost per conversion, or CPA (cost per action)

Conv. value / cost

Conversion value / cost

The conversion value over cost, or ROAS (return on ad spend)

Conv. value / impr.

Conversion value / impressions

Conversion value per impression measures the average revenue generated each time your ad is displayed.

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