My ABO testing is not necessarily about testing; it's also about scaling
It's the exact setup I'm using on EVERY ad account of mine, regardless of the Andromeda update
Here's my most technical breakdown of my ABO campaigns
Each new test = new ad set = new concept
Each concept has 3-6 variations.
When it's a video, it's mostly hook; when it's an image, it's either a different layout or text overlay
All of my tests start with a $100 or $200 daily budget, and I launch all of my tests on Wednesday. On Friday, I evaluated them for the first time.
I scale good ones, and in bad ones, and I either decrease the budget or kill the variation that got most of the spend and terrible results in bad ad sets .
I then let them run through the weekend, and on Monday, I do the same thing.
By that time, I probably
> killed 1/3 of the ad sets,
> scaled 1/3,
> and the remaining 1/3 is running with a lower budget & fewer variations than on Wednesday (after a week from testing)
After a week (next Wednesday), I take the winners with the post ID and carry them to ASC with CC, and I repeat this every week
BUT I DON'T KILL THE ADS I CARRIED TO ASC IN THE TESTING CAMPAIGN.
I continue to scale them there as well.
I know people said they had issues with running the same ads in different campaigns, but I didn't notice that.
ASC CC operates on a higher budget, and the CC target is around my target CPA.
Even if ASC spends over the target CPA, CPA is never "that bad" that I would be worried, because it's spent the ad on the winning ad
Even if the newly imported ad doesn't get much spend in my ASC "Hunger Games" campaign, I don't care, because I'm still scaling in testing
In terms of how soon I move the winner to ASC?
> I don't care about the existing learning phase.
> I'm not looking for statistical significance, nor do I care about it when identifying something as a winner
> If I managed to increase the budget a few times a week in testing, and performance is still good, that's a good enough sign for me to move it to ASC
P.S. ABO testing works if your tests are good enough. If you usually launch 10 tests a week, and you get only 1 winner, you'll do better sticking with CBO.
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When it comes to Manual bids, 2 main things you need to worry about are:
1) Spend 2) Performance
Your goal is to find a sweet spot between those 2
And only 4 potential scenarios could happen
Let's break them down & potential next steps for each:
Additional context here is that I use "Cost per results", also known as "Cost Caps"
And I use it ONLY for Scaling, not for testing
I'm comfortable setting an inflated budget with my winning ads, because even if FB overspends, it can't spend "that much" over my target CPA, because all the ads there are still winning ads
Cost cap, which means the cost per result should average out over the period of your attribution setting, let's say 7dc
I always use Click only with manual bids
So if you put $50 CC, one day results would be $52, another $47, third $42, fourth $57, but at the end it should average out to $50
Look what I just unlocked in one of my ad accounts
🚨 One of the best updates in the history of Meta ads 🚨
➡️ Purchase Profit Optimization
Here's what it is and how it works:
While so far, we only had the option to optimize for Purchase Value, now FB is allowing us to optimize for profit
In order to do that, we first need to create an additional parameter called "net_revenue"
How to create it?
First, you need to have your COGS per SKU defined in Shopify, so that CAPI can use that info
Then we set up the flow in Shopify that calculates the net_revenue and then stores it on the order, which gets pushed to the CAPI provider, in my case Converge
Many people have trouble keeping their results good when they try to scale and then just blame FB, and that’s just because they are doing it wrong - simple as that.
So, today I’m sharing the fastest way to scale your FB ads in 2025:
It’s something I started using last Q4, and since then, I have implemented it on all of my accounts.
It’s not a beginner's strategy, so pay close attention.
Besides my ABO testing campaign, which I already covered multiple times, I have 1-3 Advantage shopping campaigns.
Recently, I started combining ASC and Cost caps for scaling, and I love it.
You know I’m not a fan of using CC for testing, but I’m a huge fan of using them for scaling, especially in peak Q4 and for weekend scaling.
But the goal of this setup is to find a winning creative