Email Evolution Revitalizing Marketing Campaigns

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CPA target versus another, those two campaigns are likely not going to enter the auction on the same foot. One will be prioritized over the other and you’ll have an unbalanced test. ab testing examples google ads experiment screenshot This is where experiments in Google Ads and split testing in Facebook Ads can come in. By using these tools, you can set up tests to focus on single (or multiple) variables and give them each a fair shot in the auction.


If you’re interested in learning more about these tools, here are a couple of videos that walk you through Google Ads Experiments and Facebook Ads A/B testing. Measuring success across different PPC A/B testing examples Now that we know Iceland Phone Number how we’re going to test, we need to get more specific on the PPC metrics we’re going to use to determine success. Unfortunately, I’m not willing to accept “perform better” as a good answer. First, we have to decide what our main KPI is. Is it your Google Ads cost per lead? Conversion rate? Click-through rate? Impression share? This will rely entirely on your hypothesis and which A/B testing example you choose to implement. Pick the stat that will best reflect a success or failure for your test.





Don’t worry, this isn’t the only metric we’d focus on. More on that in a minute.) Just like the functionality of the test, there are three common ways to approach this. Let’s say we’re trying to improve the CPA for an account. Here are some ways I could phrase my “success” metric: Target performance: This test is a success if the experiment variable yields a $ CPA. Percentage improvement: This test is a success if the experiment variable has a % lower CPA than the control. Statistical significance: This test is a success if the experiment variable has an % confidence level of performing better than the control. All of these are valid ways of measurement. Choose the one that works best for your purposes.