Post by huangshi715 on Feb 15, 2024 9:49:57 GMT
If you have larger accounts or manage ad copy testing for multiple clients, PPC Hero Ad Automator and Adalysis from Brad Geddes are great options. The bottom line when it comes to statistical significance is that you need to understand how to define your hypothesis and your minimum sample size correctly. Here’s a great post by Peep Laja explaining the fallacy of using a statistical significance level without a defined minimum sample size. Watching the wrong metric Many people watch their click through rate to determine .
Every impression has the chance to become a conversion so I like to Switzerland Email List use impressions for sample size and my rationale is below: You can’t actually buy more clicks or conversions, but you can buy more impression share. And buying more impressions is the goal for ads that are performing well based on any metric (CTR, CPI or PPI). Which brings me to my next point… 4. Stop judging ads on CTR Brad Geddes was one of the first PPC professionals I know to advise against using CTR as the primary metric for choosing winning ad copy. He suggests using metrics like Conversions per Impression, or better yet, Profit per Impression.
You can read more about the logic behind Brad Geddes’ argument here, but to demonstrate, take a look at the difference in CTR and CPI Here: ctr-vs-cpi When you choose winning ads based on CTR, you could be earning more clicks but failing to convert them. The example above shows just that. CPI and PPI aren’t standard metrics built into Google Analytics, but they aren’t that hard to create and they are definitely worthwhile. Check out this great visual guide to custom metrics in Google Analytics, by Justin Cutroni. Change the metrics you judge your ad copy on and you will make more informed decisions and drive more profit.
Every impression has the chance to become a conversion so I like to Switzerland Email List use impressions for sample size and my rationale is below: You can’t actually buy more clicks or conversions, but you can buy more impression share. And buying more impressions is the goal for ads that are performing well based on any metric (CTR, CPI or PPI). Which brings me to my next point… 4. Stop judging ads on CTR Brad Geddes was one of the first PPC professionals I know to advise against using CTR as the primary metric for choosing winning ad copy. He suggests using metrics like Conversions per Impression, or better yet, Profit per Impression.
You can read more about the logic behind Brad Geddes’ argument here, but to demonstrate, take a look at the difference in CTR and CPI Here: ctr-vs-cpi When you choose winning ads based on CTR, you could be earning more clicks but failing to convert them. The example above shows just that. CPI and PPI aren’t standard metrics built into Google Analytics, but they aren’t that hard to create and they are definitely worthwhile. Check out this great visual guide to custom metrics in Google Analytics, by Justin Cutroni. Change the metrics you judge your ad copy on and you will make more informed decisions and drive more profit.