Do You Ever Wonder Why Your Ads Stop Working After A While?
I sure did for a long time.
And then I learned, it’s not about my ads…
It’s because I was showing the same people the same ad every single time, they got bored!
We fix this by making small tweaks, not changing the whole ad.
And before you know it, your only words will be:
“WE’RE SO BACK, WE’RE GONNA WIN SO MUCH, WE MAY EVEN GET TIRED OF WINNING”
Imagine searching online for a car you’re looking to buy. You don’t just add to cart and then be on your way - unless you’re Andrew Tate.
You look at multiple cars to compare which one is the best, the same thing goes for almost anything.
So why not do it for our ads as well… it’s way easier than you think.
“Using A/B Split Testing To Find Flaws”
“What’s an A/B test?”
A/B testing is a marketing method we use to compare two ads with the same message.
The purpose is to find out which version has the biggest impact on the recipient.
It can also be used for emails, newsletters, web pages, basically any digital marketing.
In simple terms, by using an A/B split test it allows us to locate what needs to be changed for the ad to perform again.
“Small Changes - Big Rewards”
Like I said “let's not change the whole ad.” Just one thing at a time.
Could be the headline, email subject line, CTA button or text in it.
Could be the offer; “get a free guide” or “get a guide for zero dollars,” they mean the same thing but have different impacts on people.
Just choose one thing and change it, then run both ads simultaneously to see which one performs better.
There are several tools you can use to do this, Meta ads manager being one of them.
“Time To Analyze”
Once you’ve got the test set up and running, you can start to monitor the data.
This includes:
Traffic to your page.
Engagement.
Conversions.
“The End Results”
Run the test for about a week and you should start to see some good results.
What I want you to particularly pay attention to is:
Number of visits.
Signups (newsletter, free guide, free ebook etc.)
Time spent on your page.
Sales.
Leads generated.
This is by far the best way to test two variations at the same time, but if you need to test more than two options, you can do multivariate testing.
But that’s a topic for another day.
Talk soon,
Martin.
P.S. If you want me to go over your marketing, and do some testing for you, let me know by filling out the form.
