Split Testing on Facebook Case Study: Part 2
Posted by Riley | Posted in Affiliate Marketing, Case Studies, CPM, Facebook, Money Mondays | Posted on February 15th, 2010
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This is a follow-up to Split Testing on Facebook Case Study: Part 1.
Okay so the CTR began to die out on the images I found in Split Testing on Facebook Case Study: Part 1. I was still making some pretty good money off this campaign and decided I needed to switch up the ad copy. Me being pretty lazy I went to the merchant’s landing page and used some of the lines that caught my attention in my ad copy and mind you since I was lazy I only used one variation and scaled this out to every demographic. After about 5 days of continually submitting ads I finally got my ads past the review team at Facebook. I just knew I was going to kill it again for a few days and wasn’t sure what I was going to do after that, probably try a different ad copy.
So I threw up this one ad copy using those images I used in the first go round. I figure they haven’t been shown in a couple weeks, they should have some juice left in them. Plus with some new ad copy I should be sitting pretty.
I ran it for a couple days and lost a nice chunk of change, mainly because my conversion ratio had tanked by 54%. I’ve included screenshots below. And that amount of data was more than enough to be statistically relevant. My first concern was since I haven’t ran this offer in a few days maybe the advertiser was up to no good so I hit up my affiliate manager and asked him if the conversion rate for the network as a whole changed and he said nope. So I was thinking since the only thing that had changed was the ad copy, maybe the ad copy was now a bit misleading because it did include that the user could win money.
Part 3 I will be split testing 5 different sets of ad copy to determine how it affects my conversion ratio.
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Yeah, track the variations and combinations closely, they’ll impact the conversions hard. Go by EPC and not CTR though. Also, different images will have a different affect on your audience, img 1 might be good for 18-25, but poor for 25-35 for example so test them all against ages too.
what sohan said. i have been experiencing the same thing with same image for different age ranges perform different.