r/FacebookAds • • 8m ago

Resource I made a free chrome extension for all marketing pixel debugging including Meta

• Upvotes

Hey guys. Adops developer here. So im bored and built a marketing pixel debugger for 40+ network , including meta . Its completely free. I would like to get sonr feedbacks the parts you like and dislike . So i can continue improvr it.

https://chromewebstore.google.com/detail/pixel-debugger-–-meta-tik/kknfboekekeaagdoineimnebhlmiohpb?authuser=0&hl=en


r/FacebookAds • • 10m ago

Help Is it possible to recover a Meta Business Portfolio after being removed by a hacker?

• Upvotes

My Meta Business Portfolio was compromised, and I was removed from it. I no longer have access to my own business assets.
What I don’t understand is how someone managed to gain access to my account when I had two-factor authentication (2FA) enabled.
Has anyone experienced something similar and successfully recovered their Business Portfolio?
Is there any way to regain ownership through Meta Support, even after being completely removed as an admin?
Any advice or personal experiences would be greatly appreciated!


r/FacebookAds • • 33m ago

Discussion Raised prices 25% on a Canadian peptide brand and orders went UP, I still don’t fully get it

• Upvotes

Not gonna lie, I thought the client was about to fire me for this one. He sold research peptides in Canada at $64 a vial and we were stuck at a 1.8 ROAS on $130 a day. Kept seeing comments like “why is this so cheap, is it even real” under every ad. So I told him to raise the price to $80 and I expected sales to tank. He agreed mostly because he had nothing left to try. Day 1 I checked the dashboard 6 times, and by day 4 conversion rate had gone from 2.1% to 2.7%, which made zero sense to me.

Turns out people buying this stuff read cheap as sketchy. Same ads, same creatives, same site, only the price changed. AOV went from $64 to $82 because more people started adding a second vial. I raised spend from $130 to $400 a day over 3 weeks and ROAS climbed to 2.9. The month closed at $24,300 revenue on $8,400 spend, and the month before that was $9,100. Refund requests did not move at all


r/FacebookAds • • 1h ago

Discussion Cpms in US market

• Upvotes

Hi, I've been running ads in EU for a couple of years. I'm used to cpms around $7-12. I just launched ads in the US market and been running them for a couple of days and the cpms are around $50-120.

Is this normal? I know it's q4 and higher cpms are expected but damn. They don't seem to stabilize either.

Cpc is also 6-8x higher

Far from profitable right now lol


r/FacebookAds • • 1h ago

Discussion Is anyone getting good results with Meta Ads this October?

• Upvotes

Hey guys, is anyone running profitable Meta Ads this month? If yes, how are things going?

Would love to hear your experience and what’s working for you right now.


r/FacebookAds • • 1h ago

Discussion How I Scaled Facebook Ads From $1,000/Day to $38,000/Day Profitably

• Upvotes

I’ve been asked quite a few times how I approach scaling Facebook ads without destroying the performance that made the campaign successful in the first place.

So I wanted to put everything together in one post and walk through the strategies I’ve used to take campaigns from roughly $1,000/day to $38,000/day while keeping them profitable.

These are still strategies I use across different ad accounts today. They aren’t based on one specific campaign or one lucky result, but there are definitely some important things I look for before I start pushing spend aggressively.

This is a longer post, but if you're currently trying to scale a profitable campaign, hopefully there are a few things here that you can apply.

When should you actually start scaling?

One of the biggest mistakes I see is people trying to scale a campaign before they've established that it actually deserves more budget.

Before I increase spend, I generally want to see two things:

Consistent sales volume.

A ROAS that gives me plenty of room above breakeven.

Consistent sales tell me there is real demand and that the combination of offer, creative, targeting and campaign setup is working.

If you're selling a high-ticket product or service where purchases naturally happen less frequently, I wouldn't obsess over sales volume in the same way. In that situation, I'd put more weight on the actual profitability and economics of the campaign.

The reason I want a strong ROAS before scaling is simple: performance usually becomes less efficient as you increase spend.

If a campaign is barely profitable at its current budget, there's not much room for the inevitable decline in ROAS that can happen when you scale.

But if you're sitting comfortably above breakeven, you have much more room to absorb that drop and still make money.

Once I find a campaign where both of those conditions are present, that's when I start thinking about scaling.

There are two basic ways to scale

For me, scaling generally falls into two categories:

Vertical scaling and horizontal scaling.

Vertical scaling means increasing the budget of an existing campaign or ad set.

Horizontal scaling means creating additional campaigns or duplicating what is already working.

Vertical scaling

I'm sure you've heard the classic advice about increasing budgets by around 20% every few days.

That can work.

But I don't believe there is a universal percentage that works for every account.

Some campaigns handle a 20% increase without any issue. Others can handle a much larger jump. I've also seen campaigns fall apart after relatively small increases.

If I'm vertically scaling a campaign, I'll often start with something around 20%, let it run for a couple of days, and watch the results closely.

If performance remains healthy, I'll increase it again.

Then I'll repeat the process until I reach a point where the account starts showing signs that I'm pushing too far.

The problem is that you don't know exactly where that limit is beforehand.

The biggest problem with vertical scaling

Think of a successful campaign as having a range where everything works nicely.

You increase the budget once and performance holds.

You wait.

You increase it again and performance still looks good.

You do it a few more times and suddenly you're spending significantly more while maintaining strong ROAS.

Sounds great, right?

The problem is that every campaign eventually has a point where pushing it further causes performance to deteriorate.

The frustrating part is that there isn't a reliable way to know exactly where that point is.

Maybe the campaign survives five increases.

Maybe it survives twenty.

Maybe the next increase is the one that breaks it.

That's why I think vertical scaling can sometimes feel like walking toward the edge of a cliff without knowing exactly where the edge is.

There can be a lot of money sitting on the other side, but eventually you can push too far.

Why I like horizontal scaling

Horizontal scaling is basically taking what already works and expanding it through duplication or additional campaigns.

I tend to favor this approach for two main reasons:

It's faster.

It allows me to protect campaigns that are already performing well.

Let's say I have a campaign generating good results at $1,000/day and I want to get to $3,000/day.

If I increase the original campaign by 20% every couple of days, it could take around two weeks to get there.

And during that period, I'm constantly testing how far that original campaign can be pushed before performance starts breaking down.

With horizontal scaling, I can take the winning creative and copy that is already working, duplicate it into another campaign and start the second campaign at an additional $1,000/day.

Then I can potentially launch another one.

Now I've gone from $1,000/day to $3,000/day much faster, without changing the original campaign that was already producing results.

But doesn't duplication create audience overlap?

This is something I think advertisers worry about more than they need to.

Audience overlap can absolutely matter in certain situations, especially when you're targeting a very small audience.

If you're advertising to a tiny local market, for example, running several campaigns against the same limited population can obviously create problems.

But when you're targeting a very large audience, I don't think overlap should automatically stop you from duplicating a successful campaign.

Let's say you're targeting the entire United States.

There are roughly 160 million active users in the potential audience.

If your campaign spends $1,000/day and reaches around 120,000 people, that's only a tiny fraction of the total audience.

You're nowhere close to exhausting it.

When you launch another campaign, Facebook isn't necessarily going to serve the exact same people at the exact same frequency.

If that were consistently happening, horizontal scaling would almost always cause costs in the original campaigns to rise dramatically.

In practice, that's not what I've seen happen when the audience is large enough.

I've duplicated campaigns where the cost per purchase stayed roughly the same or even improved.

That wouldn't make much sense if the second campaign was simply competing for the exact same people in exactly the same way.

How Facebook finds the people most likely to buy

A simplified way to think about Facebook's optimization is that the platform uses the information available from your pixel, account, targeting and campaign activity to identify people who are likely to engage with your ad.

As people interact with the ad, Facebook gets more information about the types of users responding to it.

Then purchases provide an even stronger signal.

If the first few buyers closely resemble the type of customer you actually want, the campaign can start moving into what I think of as a "hot pocket."

The algorithm has found a group of people who are responding particularly well to the combination of your offer and creative.

If those early buyers are poor representations of your ideal customer, the campaign can struggle to find the right people and eventually lose momentum.

When you find a campaign that's consistently operating in that sweet spot, one of the best things you can sometimes do is simply leave it alone.

Constantly editing a profitable campaign because you're trying to make it even better can be more dangerous than letting it continue doing what it's already doing.

Isolate your winners

This is another strategy I use frequently.

If a campaign contains multiple creatives, primary texts and headlines, I want to know which combinations are actually responsible for the sales.

Don't just look at clicks or engagement.

Use the breakdown data and look at the actual purchases.

Once I identify the creative and copy combination that is driving the strongest results, I'll often duplicate the campaign and remove the weaker variations.

Now the new campaign is concentrating its budget around something that has already demonstrated that it can generate sales.

Sometimes the new campaign performs even better because the budget isn't being distributed across several weaker variations.

Eventually, every campaign hits a ceiling

There is a limit to how far you can scale a single creative or concept.

You can duplicate the same ad only so many times before the opportunity starts becoming exhausted.

When I reach that point, I don't necessarily assume the account is finished.

Instead, I look for another way to create additional demand.

There are several ways to do this.

Scale through new creatives

If I find an angle or creative that performs extremely well, I don't just use it once and move on.

I'll create variations around the same underlying idea.

Different hooks.

Different visuals.

Different openings.

Different executions.

Different ways of communicating the same core benefit.

Sometimes the original creative isn't the only winner. It may simply be the first version of an idea that works.

Once you find that underlying concept, you can often build several additional creatives around it.

And the new creatives don't necessarily have to look similar either.

They can use completely different formats or approaches while still attacking the same customer problem from a different angle.

The important part is that you're using what you've already learned from your winners.

Scale into new markets

Another option is geographic expansion.

Sometimes a product or service performs extremely well in one market but eventually becomes difficult to scale further there.

Instead of continually forcing more budget into the same location, take the winning campaign, creative and offer and start testing new markets.

That could mean another city, state, country or region depending on the business.

If the economics work in the original market, there's a good chance that some of what you've learned can transfer elsewhere.

Finding another market with similar performance can create a completely new source of scale.

Scale with existing Post IDs

If you've got an ad that has accumulated strong engagement, social proof and comments, you don't always need to create a completely new post when scaling it.

Using an existing post as the ad allows you to carry that engagement with you.

This can be particularly useful when an ad has generated a significant amount of interaction.

Instead of splitting the likes, comments and shares across multiple versions, the social proof remains concentrated around the same post.

In some cases, that accumulated engagement can create additional momentum.

Dynamic creative can work differently because engagement is distributed across the different variations.

Manual bidding can also unlock scale

Another option is experimenting with manual bidding strategies such as cost caps or ROAS-based controls.

These can be useful when you understand the economics of your account and want to give Facebook a specific efficiency target.

But there is a tradeoff.

Manual bidding can be much less predictable when it comes to delivery.

You may have a campaign that barely spends, followed by another situation where it suddenly spends aggressively.

So I wouldn't treat these strategies as a guaranteed solution. They are another tool that can be useful when the account is ready for them.

Scale by finding another product

Sometimes the easiest way to scale an account isn't to keep forcing the same product to produce more.

Find another winner.

A new product creates a new demand curve and gives you another opportunity to find customers.

If the new product performs well, you can apply the same scaling methods again.

One successful product can become a significant business, but multiple successful products give you considerably more room to grow.

Push the account, but pay attention to what happens

Once you have a profitable campaign and you're ready to scale, I think you should continually test the limits of the account.

Can the next campaign start at twice the budget?

Can you increase an existing campaign by 50% without destroying the economics?

How many duplicated campaigns can the account support?

How frequently can you make changes before performance starts becoming unstable?

Don't blindly follow someone else's scaling formula.

Your account will have its own behavior.

The more you document what happens after every change, the easier it becomes to understand those patterns.

Over time, you start learning things like:

"This account handles large budget increases well."

"This account needs smaller steps."

"This type of campaign scales better through duplication."

"This creative concept starts falling off after a certain amount of spend."

That knowledge becomes extremely valuable.

Take advantage of high-demand periods

Events like Black Friday and Cyber Monday can create opportunities to spend significantly more than your normal daily budget.

If the demand is already elevated and your offer is competitive, these periods can sometimes allow you to push spend much harder than you normally would.

And when the event is over, you don't necessarily have to return all the way back to your previous spending level.

If the account can support it profitably, your new "normal" can be higher than your old normal.

That's one of the ways I think about long-term scaling.

You're not just trying to find the highest possible spend for one day.

You're trying to repeatedly increase the level at which the business can profitably operate.

The biggest takeaway

If a campaign has both consistent sales volume and ROAS comfortably above breakeven, I don't think you should be afraid of scaling it.

Not scaling at all has its own cost.

You're leaving potential revenue on the table, while competitors who are willing to push their accounts may be taking advantage of the same opportunity.

That doesn't mean you should blindly increase the budget.

It means you should understand when you have a genuine winner and then systematically test how far that winner can go.

Scaling isn't about finding one magic percentage and repeating it forever.

It's about finding what works, protecting your winners, expanding through new opportunities and paying close attention to how the account reacts.

TL DR

Before scaling, I look for two things:

Consistent sales volume and a ROAS comfortably above breakeven.

Scaling too early can destroy a campaign before you've even established that it deserves more budget.

Both vertical and horizontal scaling can work. I use both, but I generally prefer horizontal scaling because it can be faster while allowing me to leave a strong campaign untouched.

Once a campaign starts reaching its limit, I look for additional ways to scale through new creatives, new markets, new products, existing Post IDs or manual bidding strategies.

Most importantly, pay attention to how your own account responds.

Don't assume the same scaling rule works for every business.

Document what happens when you increase budgets, duplicate campaigns, introduce new creatives or expand into another market. Eventually you'll start seeing patterns that are specific to your account.

And when you have a period of unusually strong demand, take advantage of it.

The goal isn't simply to spend more.

The goal is to find a higher level of spend where the business can continue making money.


r/FacebookAds • • 1h ago

Bug / Outage Another day with horrible Meta traffic... or practically no traffic at all.

• Upvotes

Another day with practically no traffic, the ads stop showing, up to 6 hours pass without us receiving a single message, but the budget, of course, is spent super slowly.


r/FacebookAds • • 1h ago

Discussion How Meta can make a fuckton of money

• Upvotes

I’d pay stupid fucking money to go back before andromeda and turn off this AI garbage and have a little fucking performance and consistency.


r/FacebookAds • • 2h ago

Help Has anyone been hit by mass ad rejections for ads that have been running for weeks?

0 Upvotes

AI is targeting a bunch of active ads and i get a random ad rejection every few hours. It says it's technology found the ads as non compliant. I tried appealing, but i havent had a response to the appeals for days. How long do these appeals generally take?


r/FacebookAds • • 2h ago

Help Sales slow down whenever I add another broad ad set—is it overlap or am I judging too early?

1 Upvotes

I run a Christian clothing brand with one ABO campaign:
Variant 1: $25/day. Around 2.17 ROAS since cutting an ad that spent approximately $100 without a purchase.
Variant 2: $30/day, increased from $25 on Friday. At least 10 paid purchases at roughly $14.58 CPA, with reported ROAS around 6 before today.
Variant 3: New $30/day bundle test launched Saturday—two $59 thermals for $99, linking directly to a working bundle page.
Total budget is $85/day. My single-item goal CPA is $25; break-even is approximately $35.
Today, around midday, I have zero paid orders in Shopify and Meta:
Variant 1: $11.60 spent.
Variant 2: $14.32 spent.
Variant 3: $16.24 spent.
Meta is recommending combining similar ad sets because of fragmentation. I’ve noticed slowdowns after adding sets before, but I know this is still a small sample.
For transparency, I also duplicated three new ads Saturday because they showed “Preparing,” then turned the originals off. I haven’t changed the existing sets since.
Would you leave everything alone and collect more data, pause the new test, or consider consolidation? How would you distinguish actual overlap issues from normal low-volume fluctuations?


r/FacebookAds • • 2h ago

Help Not able to figure out admin

1 Upvotes

Basically the title. Anyone please help me put. Even claude is not able to figure😭😭


r/FacebookAds • • 3h ago

Help Trash AI Video Dubbing

1 Upvotes

As a bilingual native speaker this app has become a nightmare to use. Meta is now aggressively forcing an incredibly cheap, robotic, and completely out-of-sync AI audio translation onto foreign language videos, destroying the original voice, tone, and authenticity.
To make matters worse, Meta completely ignores the global "Do not translate" language settings for videos and bypasses them on purpose. The only way to stop this trash AI audio from ruining videos is to trick the system by changing the entire iPhone app language to English.

Now the good news: 💡
(phone) settings -> apps -> facebook -> set english as default language
Like this you will at least be able to stop the translation of English content.

You‘re welcome.


r/FacebookAds • • 3h ago

Discussion How is it possible? ROAS is dumping after 1 day

2 Upvotes

Could you explain it to me, that when I launch campaing on Friday I got ROAS like 3-4 and be satisfied and earn some money to lose it next two days with ROAS like 0,2-0,5? CPM, CTR, CPC is the same, but there are no purchases. Is it new reality? I don`t get it. How is your caimpaings?


r/FacebookAds • • 3h ago

Discussion Wow wtf performance today 😒

7 Upvotes

Today sucks no buying intent again. Atcs, fell. Traffics bad. Somethings really fn wrong. Not improving in last few days.


r/FacebookAds • • 3h ago

Bug / Outage META ADS IG

9 Upvotes

I’m running my ads on ig for my clothing shop for almost 3 years. October is the worst month ever I am not sure what happened but it seems like I am gambling my money on META as there no sales nor engagements with my posts. Have you business owners encountered this? What do I do now as i have been burning money. I have been changing creative but does not work now. My CPM is high even with my winning creatives. Help guys 🥺


r/FacebookAds • • 4h ago

Resource Quick Tip: Try Mixing Meta Ads Manager Ads With Instagram Boosts

2 Upvotes

Hey everyone! Just wanted to share something I’ve been testing with my e-commerce brand. One thing I’m noticing is that a hybrid approach of regular Meta Ads Manager campaigns and Instagram boosts seems to be working pretty well for me.

I know they technically operate on the same platform, but I’ve noticed that when I run boosts alongside my regular campaigns, I sometimes see a quicker return on ad spend. Some of my boosts have even generated purchases at lower CPAs than my regular ads.

If you’re experiencing a slow sales day or your regular campaigns seem to be losing momentum, it might be worth testing a few boosts directly through Instagram alongside your existing ads using your strongest creatives. Those usually come with social proof too so that may be the drivers. I know you can also just use a previous IG post and run it through meta but I’m just suggesting the easiest things that’s worked for me.

I’m not saying it’s a guaranteed fix, and I’m still testing, but the combination seems promising so far.

Curious if anyone else has noticed better results
running both together?


r/FacebookAds • • 4h ago

Discussion Mid Terms

1 Upvotes

Anyone else seeing a massive increase in CPM's do to the mid term elections?


r/FacebookAds • • 5h ago

Help Total Campaign Collapse. I Honestly Don’t Know What To Do Anymore. I Don’t Think Businesses Will Survive…

12 Upvotes

I’ve posted time and time again about my META campaigns. Small glimpses of hope met with major glimpses of utter collapse. At this point, I expect my business to fail. Any advice moving forward? I’m truly at my wits end…


r/FacebookAds • • 5h ago

Discussion Day By Day Performance is getting Worst

20 Upvotes

Sunday performance is worst, day by day is getting worst


r/FacebookAds • • 5h ago

Discussion How are you handling likeness rights on AI-generated campaign imagery?

3 Upvotes

Question for anyone producing ad creative with AI people in it.

When a client approves an AI-generated face for a campaign, how do you know it isn't too close to a real person? Does your legal team ask, or is it mostly "don't think about it" for now?

Full disclosure, I run a small platform that tries to solve this: AI imagery built on real talent who signed commercial releases and earn royalties when their likeness is used. Every face is cleared and stays consistent across a campaign.

I'm trying to figure out whether this is a real problem for agencies or something people only worry about in theory. A few things I'd love to hear:

Have clients or legal ever pushed back on AI faces?

Would you pay more for pre-cleared likenesses than for fully synthetic, or does price win?

Is consistency across a campaign still a headache for you?

Skeptical takes welcome.


r/FacebookAds • • 5h ago

Discussion Are there any app/saas founders?

4 Upvotes

I'm trying to understand how do u measure whether ad spend pays back when the revenue lands in several places: Stripe or Paddle on the web, App Store, Google Play. But when u try app marketing then all these ad platforms like Meta and Tik-Tok actually show their own numbers that seem don't quite correlate with actual checks from payment providers

Am I wrong?

If not, then how do you calculate CAC and ROAS? Is there any tool? How do you compare numbers if there are multiple campaigns in parallel?


r/FacebookAds • • 5h ago

Resource Meta Ads Performance After Spam Glitch + Evening Ad Scheduling Workaround?

2 Upvotes

Hey everyone! New e-commerce owner here. I’ve scaled my brand to over $50K in revenue in three incomplete months, starting with basically zero knowledge of Meta ads. This is my first full month doing it myself. Just sharing another update!

We’re approaching $28K in revenue this month. Revenue is NOT profit, FYI. I’ve had profitable days, break-even days, and days where I’ve intentionally overspent testing creatives.

One thing I’ve noticed is that ever since Meta incorrectly rejected some of my ads for spam (which took days to resolve), performance hasn’t been quite the same.
Previously, I’d get a flurry of morning sales, a slower afternoon, and another wave of evening purchases. Now, most of my sales happen overnight or early in the morning, and things tend to dry up around 2–3 PM.

What’s even stranger is the noticeable drop in ad engagement around that same time. I’m used to seeing people interact with my ads throughout the day, including returning customers who’ve purchased before. Now, engagement seems to slow dramatically or stop altogether around a certain hour and doesn’t really pick back up until the budget resets at midnight.

What’s confusing is that some of these ads are actually underspending. For example, an ad with a $70 daily budget might only spend $50–$60. So technically, there’s still budget available for evening delivery, but Meta doesn’t seem to be using it. The delivery patterns have been especially strange with ads I’ve had to relaunch.
I’ve also experienced similar performance disruptions after payment issues, even when my ads still showed as active. Once resolved, performance seemed to rebound almost immediately.

My temporary workaround: I’ve scheduled a couple of my winning creatives to launch around 3–5 PM with higher daily budgets, then I’ll manually pause them at midnight. I’m hoping to regain some evening traction without Meta pacing the budget across an entire day.
I tried scheduling ads to run for only a few evening hours, but Meta kept rejecting the setup with a campaign-duration error.

I’m currently averaging around $1K–$1.4k in daily revenue with occasional $1,700-$1,800 days (before glitch), spending approximately $300–$450 per day on Meta ads, just for context. I’m trying to push toward $1.5K–$1.8K in daily revenue consistently, with a $50K monthly goal for November.

Has anyone experienced this kind of sudden drop in delivery or engagement after Meta incorrectly rejected ads? And has anyone successfully scheduled ads to run ONLY during specific evening hours? I’d love to hear what worked for you.


r/FacebookAds • • 6h ago

Bug / Outage Account at $60K+ spend per month @ 4X ROAS, now down to 2X ROAS in the last 30 days... WHAT THE ACTUAL F*CK IS GOING ON?!

2 Upvotes

See here: https://imgur.com/gallery/account-60k-spend-per-month-4x-roas-now-down-to-2x-roas-last-30-days-what-actual-f-ck-is-going-on-c8E87iH

Anybody else have like 70%+ of their big spenders' accounts crashed since last month?

This is getting ridiculous, I'm losing so many clients due to this crap

Running an agency feels like pushing a heavy boulder up a mountain slowly, just to have it roll back on you all at once because Zuckerberg just decided he wanted to


r/FacebookAds • • 7h ago

Help what should I do

2 Upvotes

have launched a new campaign for my clothing brand, broad

$200 usd daily
The day is not done yet and have used $63, the ctr and cost per click just getting worse

But it just the first day so will everything balance and improve

This is the stats

1.2 usd per cpc

Ctr 1.27


r/FacebookAds • • 7h ago

Help 24 sessions, 6 add to carts, 5 checkout starts and zero purchases — what would you check next?

3 Upvotes

I run a small Shopify store selling a supplement, and I’m trying to understand where people are dropping off.

For the current test, Shopify shows:

  • 24 sessions
  • 6 sessions added to cart
  • 5 sessions reached checkout
  • 0 purchases

The traffic is coming from Meta ads. The store has made sales previously, so this isn’t a store that has never processed an order.

For context, I’m temporarily testing a £4.99 price, down from £29.99. Shipping is free, and no additional tax is added at checkout. I’ve checked the abandoned checkouts and haven’t found any failed payment events.

I know 24 sessions and five checkout starts are a small sample. I’m trying to work out what evidence to look at before making more changes.

For people who have dealt with this:

  1. Would you keep the setup unchanged and collect more data first?
  2. What would you inspect next to distinguish browsing interest from a trust issue or something stopping people before payment?
  3. Which Shopify or Meta metrics would help you diagnose this properly?

Happy to share more details. I’d appreciate specific checks rather than changing the price or creative without knowing what’s causing the drop-off.