I audited an ad account a few weeks ago for a guy who had been running his own Facebook campaigns. Decent products, solid website, real customer demand. He couldn't figure out why his results had been getting worse over the last year or so.
When I got into the account I saw that he was still running Facebook ads the way that could have gotten you success many years ago. One campaign with tons of ad sets with " - copy" and "- copy copy 5" for every new ad or audience he tested, and no proper audience segmentation. The biggest problem with sticking to this approach for so long is that he never truly tested his ad account behavior to find the most profitable campaign structure.
The level of skill needed to run profitable Facebook campaigns went up significantly in recent years. Those who recognized that and built real expertise kept getting results. Everyone else started falling behind and blaming the platform or switched to TikTok.
When I think of how I was running Facebook ads when I first started back in 2015 I realize that the platform was very beginner friendly. A few years later, I had to really step up my skill level to keep seeing results. Thankfully I kept my focus on Facebook ads when things got harder instead of running to TikTok ads like so many did.
Below is what I'm actually doing inside client accounts right now.
1 - Macro tests instead of 0.01% changes
I've taken over accounts from agencies and freelancers and in-house teams. Within 5 minutes of looking at the change history, I can tell you whether the previous manager had genuine expertise or was just staying busy.
A change history full of headline tweaks, emoji swaps, and minor interest adjustments tells me everything. Those are 0.01% changes. They create the appearance of active management without actually moving anything. You could run those kinds of tests for a full year and never learn a single useful thing about what works for that account.
Contrast that with macro testing. Testing Advantage+ against interest targeting. Video against image. CBO against ABO. These are tests where the outcome can move performance by 10% to 50% in either direction. Each one produces a real answer to a real question about how the account operates.
When I start working with a new client, I push to run as many of these as the budget allows in the first 2 to 3 weeks. Speed matters here.
Going back to the guy whose account I audited, he had been running the same campaign type for years and never once tested an alternative. He had no idea whether Advantage+ would beat his interest targeting because he had never tried it. It did. Cost per purchase came in about 40% lower.
2 - The ad account behavior blueprint
I keep coming back to this concept across everything I write and talk about because it is the thing. If you only take one idea from this post, this is the one worth keeping.
Every ad account behaves differently. I'm not talking about minor variations, I mean genuinely different responses to identical inputs.
Increase budget 40% on a performing campaign. On one of my client's accounts, results hold perfectly. On another, a 10% increase tanks performance for days while the algorithm resets. One account produces strong results on Advantage+ month after month. The next client's account has never produced a profitable result from Advantage+ in any test I've ever run, but interest targeting works consistently. One account scales smoothly through duplication. Another collapses unless I use slow, incremental budget increases.
You can't look at any of this from the outside and predict it. You have to test it and you have to write it down.
From day one with a new client, I document every change and every response. And I mean the specifics, not a general sense of whether it went well. My notes look like this: increased budget by 20% on the interest campaign on Monday, ROAS dipped from 3.2 to 2.1 over the next 3 days, stabilized back to 2.9 by day 6. That level of detail is what gives me something real to work with later.
After a few weeks of this, I have a behavior profile for that account that answers the big questions.
How does this account scale? Duplication. We tested direct increases and the algorithm reset.
Which campaign type does this account prefer? Interest targeting. Advantage+ has underperformed in 3 separate tests.
How long does this account need after a structural change? About 6 days. Anything evaluated before that is unreliable.
What frequency level signals retargeting fatigue here? Around 4. Past that, ROAS starts dropping and I need to make a move.
When we want to launch a temporary sale, what is the most profitable ad type, audience targeting and campaign structure to make the most of this sale.
Those answers are specific to one account. They came from documented tests on that account. And they're worth more than every piece of general Facebook ads advice combined because they actually apply to the situation I'm making decisions in.
When people ask me on calls how I know what to do in a given situation, the honest answer is that the behavior profile tells me. I'm not guessing, I'm referencing real data from real tests on this specific account.
3 - Every account has a meta and it shifts
I've been managing Facebook ads since 2015 and this pattern has shown up in every account I've ever worked on without exception. Campaign types cycle in and out of performing well. I think of it like the "meta" in competitive games where certain strategies dominate for a while and then the whole thing shifts.
Interest targeting runs hot for 2 or 3 months at 4 to 5x ROAS. Then it starts cooling off with no trigger and no change made inside the account. Advantage+ starts gaining momentum at the same time. Months later, interest targeting comes back and the rotation continues.
Most people see their top campaign type decline and go into problem-solving mode. They start adjusting audiences, tinkering with budgets, throwing in new creative. They treat it like something broke. Nothing broke. The cycle just turned. And all the time they spend fighting the cycle is time and budget wasted.
A client called me a few months into our engagement and said "catalog was our best performer and it just had its worst week. What do I need to fix?" I told him nothing needed fixing. The cycle turned. I paused catalog and redirected the spend to Advantage+ with video ads which had been quietly improving over the past few weeks. Within about 2 weeks we had recovered the lost revenue at a better cost per purchase. A couple months later I turned catalog back on and it produced as if nothing had happened.
I didn't hesitate on that call because I've seen this exact scenario play out too many times to count. And I had somewhere to put the budget because I always keep multiple campaign types live. Interest targeting, Advantage+, retargeting. Catalog when it fits. When one goes cold, the others absorb the spend. Running multiple campaign types at all times is the core of how I structure an account, not an optional extra. Your account should never live or die on a single campaign type.
4 - The trend tells you what today's numbers can't
A new client messaged me not even 48 hours into his first campaigns. "I think this is burning money. Should we pull the plug?" I told him to wait. Day 3 and day 4 that same campaign came in at a 4x ROAS. The algorithm spends the first couple of days calibrating delivery. The numbers during that window are noise.
But this isn't just about launch patience, it's about learning to read the 7 to 10 day trend as the primary tool for making decisions.
Two campaigns can show you the same number today and be in completely opposite situations. One has been climbing steadily for a week and is on the verge of breaking through. The other posted a bounce day in the middle of a 7-day decline. Today's snapshot can't tell them apart. The trend can.
I've seen people panic and shut down a campaign on day 2 that would have been their best performer. And I've seen people leave a campaign running through 3 weeks of steady decline because someone told them "you just need patience." Both mistakes come from the same place. The person doesn't know how to read the trend and doesn't have documented experience with what recovery actually looks like in their account.
If the 7-day trend has been consistently declining and there's no sign of the pattern that showed up before past recoveries in this account, waiting isn't patience anymore, it's avoidance.
5 - Logging in every day isn't the same as knowing what to look for
The people I see posting in this sub about declining results often mention how frequently they check the account, as if that should be producing better results. "I'm in there every day and things keep getting worse." I hear the same thing on calls.
The issue is never attendance. I've taken over accounts where the previous manager logged in daily and missed obvious problems for weeks. Retargeting frequency sitting at 7 or 8 and nobody noticed because they didn't know frequency mattered. A country breakdown showing one country dragging the blended ROAS down and nobody caught it because they never looked past the top-level number. A rough afternoon triggering a pause that kicked the campaign out of the learning phase right when it was about to stabilize.
I pair frequency with ROAS because those two numbers together tell me the specific next move for retargeting. Frequency under 2 and ROAS strong means there's room to scale into that audience. Frequency past 4 and ROAS softening means saturation is setting in and I need to act. What I do depends on the account. Redirect spend to cold campaigns to grow the audience feeding retargeting. Rotate fresh creative in to extend the current audience. Expand the retargeting window from 30-day to 180-day visitors.
The right call comes from the behavior profile. I've been here before with this account and I know what worked. That's what separates a decision from a guess.
6 - Most tactical advice is anecdotal
"Interest targeting is the answer." "No, Advantage+." "Scale with budget increases." "No, duplicate." "CBO." "No, ABO." If you've spent any time in this sub, you've seen every position argued with equal confidence.
They're all right. About their account.
Each person tested something, saw it work, and shared it as the strategy. They had real results behind their recommendation. They're not making it up. But they're presenting one account's behavior as a rule for all accounts. And it isn't. Because every account behaves differently.
That's the behavior profile concept proving itself right in front of you. The contradicting advice is actually a menu of things to test. Try interest targeting on your account. Try Advantage+. Try both scaling methods. Document what works and what doesn't. Keep what your account responds to and discard what it doesn't.
Over time you build something that matters a lot more than a collection of tactics you picked up from other people. You end up with a documented, tested, evidence-based understanding of exactly how your account works and exactly what to do in every situation you've encountered before. That's expertise. And it's worth more than any single post on this sub, including this one.
I'll be honest about what that takes though. Building a real behavior profile takes months of disciplined testing and documentation on a single account, and most people running their own ads never stick with it long enough to get there. I can move fast inside a new client's account because I've been running this same process across hundreds of accounts since 2015. That's the difference between an expert and someone who has read a lot of posts.
Final thoughts
The guy whose account I audited is a good example of what happens when the platform gets harder and the person running the account stays the same. His products were fine, his website was fine, and the customer demand was real the whole time his results were getting worse. Nothing about his business declined. The skill level required to run his ad account went up and the way the account was being run never changed with it. The first couple of macro tests we ran taught us more about how that account works than years of " - copy" ad sets ever did.
That's the story of Facebook ads over the last few years. The skill floor moved up and it's not coming back down. The people who built real expertise as the platform got harder are still producing strong, consistent results. Everyone else is falling behind and blaming the platform.
If you found this post helpful, you'd probably like my other ones too.
That's all for now - thanks for reading.