[MB] - Challenge Ads 2.2 - Audience Test Campaign

Focusing now on the second highest spending campaign for this challenge, which was the audience testing ABO.

The total spend on this campaign was $288,000.

And we were got, we were able to generate 33,000 leads at an average CPL of $8.73.

Now our goal with this audience test was basically to test a lot of audiences.

And, and what we did here is we were launching a lot of audiences here on.

Multiple audience buckets.

So our main goal was to get all of our best performing creatives, rotate them into this ad sets here.

So we had between 5 to 10 best performing creatives in every single ad set.

And then we were testing different countries as well as different, lookalike audiences.

As you can see here down below, we have a 1% lookalike based a 1% lookalike that was created off of a custom audience of all the purchases that the Pixel has recorded and then a 1 between 1 to 3% and then between 3 to 7%.

We also gathered 10 custom audiences that were all of our customers from Hiros.

So we just exported a list of customers from Hiros and of previous customers.

And what we did there is we segmented them in multiple smaller, custom audiences.

So all of the customers, the first custom audience was all customers.

The second custom audience was all customers that had an AV higher than $100, then AOV higher than $400, AV higher than $1,000 and then AV higher than $4,000.

Meaning that we segmented all of the customers in custom audiences that had all the people who bought the low ticket offers previously, all the people who bought the high ticket previously, the mid ticket previously.

And we were able to create between one to three lookalikes on them and test all of those lookalikes as well.

You can see that some of these lookalikes had a very healthy CPL.

Like Canada at $6.

Yeah.

UK at 7, Australia at $8 CPL, UAE $8 CPL.

we were also testing a lot of interest tax in a lot of cities within us just to find some patterns that we later on can scale inside our campaigns.

The main goal of the audience testing campaign is to find audience pockets that we can later on leverage inside the purchase optimizing campaigns and scale the profitability of this specific challenge.

But because we were using the same stop loss rule, in this ABO, the audio testing ABO, we were able to get an $8 CPL at scale.

And the stop loss rule that we were applying here was all the ad sets that were above $12 CPL were turned off.

And then all the ads that had below $12 CPL, we were trying to scale them.

And as you can see from the previous view here, we had some audiences that were running at 2.5k a day, $500 a day.

And this was obviously towards the end of the event, but we were able to get a lot of sales after the challenge on this audiences.

This is obviously the data and the results before the challenge has happened.

and you can see that we were trying to get a lot of, data on this audience buckets here.

Later on, because of all of the data that we gathered through the audience testing campaign, we were able to super scale all of our, purchase campaigns.

And I'll show you that in the next video.