Post by huangshi715 on Feb 15, 2024 9:48:25 GMT
– Oli Gardner When you accurately represent your offer in your ad copy, qualified leads click through to your landing page and there are no nasty surprises. Everyone wins. 3. Avoid common ad copy testing mistakes If you’re a rational, “left-brained” PPC professional, then writing ad copy likely isn’t your forte. If you’re more of a creative type, then writing great ads is probably easier for you, but unfortunately what you think is great ad copy doesn’t matter. What you think is great ad copy doesn’t matter. Testing #PPC ad copy is a necessary evil. CLICK TO TWEET What does matter is the data.
The biggest problem when it comes to ad copy testing is that there is so Switzerland Email List much (sometimes conflicting) advice on how to do it right. There are tons of scripts and tools to automate the ad copy testing process, but if you don’t understand how they work, you’re probably not getting great results. Here are the biggest ad copy testing mistakes (trust me, there are more) I’ve made in my eight years of ad copy testing that I hope you can avoid: Not aggregating stats Whether you run large or small campaigns, you need to aggregate stats – but for different reasons. If you have small accounts, you should aggregate so you can speed up the e.
If you have large accounts, you need to aggregate stats so you can derive actionable insight from low volume ad groups. Not segmenting results Example 1: Local vs. national segmentation Don’t lump stats together for campaigns that are targeted differently.For example, locally targeted campaigns may perform differently than nationally targeted campaigns. Accordingly, the ad copy that works for local campaigns may not be best for national campaigns.In the example below, you can see the ad copy test stats segmented by campaign location target (local vs. national).
The biggest problem when it comes to ad copy testing is that there is so Switzerland Email List much (sometimes conflicting) advice on how to do it right. There are tons of scripts and tools to automate the ad copy testing process, but if you don’t understand how they work, you’re probably not getting great results. Here are the biggest ad copy testing mistakes (trust me, there are more) I’ve made in my eight years of ad copy testing that I hope you can avoid: Not aggregating stats Whether you run large or small campaigns, you need to aggregate stats – but for different reasons. If you have small accounts, you should aggregate so you can speed up the e.
If you have large accounts, you need to aggregate stats so you can derive actionable insight from low volume ad groups. Not segmenting results Example 1: Local vs. national segmentation Don’t lump stats together for campaigns that are targeted differently.For example, locally targeted campaigns may perform differently than nationally targeted campaigns. Accordingly, the ad copy that works for local campaigns may not be best for national campaigns.In the example below, you can see the ad copy test stats segmented by campaign location target (local vs. national).