You typed a competitor’s domain into a search bar, found the number of active Facebook ads for fivesix.com in the Meta Ad Library, and now you’re staring at a figure that seems like it should mean something. Maybe it’s 8. Maybe it’s 80. Either way, you’re wondering whether that’s a lot, whether it’s working, and whether you should be doing the same.
A raw count answers none of those questions. It tells you how many ads were live when you looked, and nothing about spend, results, or whether anyone booked a job from them. We don’t know what fivesix.com sells or who it serves, and you shouldn’t assume it resembles your business. The method below works on any advertiser, so check the Library yourself and apply it to what you see.
The seven approaches below turn a number into something you can act on. Most of the value sits in the ads themselves: the concepts, the dates, and the page each ad sends people to.
1. Find the real count in the Meta Ad Library
The Meta Ad Library is Meta’s public database of ads currently running across its platforms. An “active ad” is one that is live at the moment you search. The count you see is attached to a Page, which is the Facebook business profile an ad runs from, and that distinction is where most people go wrong. Companies often run ads from more than one Page, so a single search may show only a slice of the advertising.
Suppose, as an illustration, you search a brand name and two Pages come back: the main brand Page and a regional Page for one market. The first count you see covers only the main Page. If you stop there, you’ve undercounted, and every conclusion built on that number is shaky.
As of this writing, the steps look like this, though Meta changes its interface periodically, so expect labels to shift:
- Open the Meta Ad Library and choose the country you care about.
- Select the “All ads” category rather than a narrower one.
- Search the advertiser’s name or domain and review every Page that appears.
- Verify each Page using its website link and business category before you trust it.
- Record the active count for each Page along with today’s date.
The pitfall is trusting the first result and treating one Page’s count as the company’s total. Lookalike Pages and unrelated businesses with similar names also show up, so verification matters as much as the search. If you want to see how this kind of lookup works across other tools, our guide on how to see how many ads any competitor is running covers seven options.
To know this step is done, check that you can name every Page the advertiser runs ads from and that you have a dated count logged for each. Also remember what the Library generally does not show for commercial ads: spend, conversions, or results.
2. Treat the count as a testing signal, not a success score
An advertiser with a long list of live ads is testing, or at least producing, a lot of creative. That is all the number can support. Platforms reward fresh creative, and testing many variations is a normal way to find what works, but running many ads and running profitable ads are separate facts. Plenty of accounts carry dozens of live ads that nobody has pruned.
Consider an illustration: Brand A has 30 active ads and Brand B has 4. The tempting read is that A is winning. Now look closer. All 30 of A’s ads started in the last two weeks, while B’s four have been running for months. A may be flailing through a creative refresh, and B may have found something that holds up and left it alone. A low count can mean a single scaled winner.
The fix is to never read the count alone. Pair it with ad age and concept variety, which the next two strategies cover, before you form any view on performance.
The mistake to avoid is assuming the advertiser with the most ads is ahead and then copying their volume. Volume without a proven offer just spreads your budget thin. If you’re spending in the typical 8-12% of revenue range, that budget is better concentrated on a few well-chosen tests than scattered across thirty. When results disappoint, our breakdown of fixes when paid ads are not working for your small business is a useful companion.
There’s nothing to measure on the competitor’s side here, only on yours: keep every conclusion labelled as a hypothesis until your own account data confirms or kills it.
3. Sort the ads into creative concepts
A creative concept is the underlying idea an ad tests: a specific hook, a specific offer, aimed at a specific audience angle, in a specific format. Ten ads can be one concept or ten, and the count alone can’t tell you which. Sorting is how you find out how many real ideas the advertiser is exploring.
Imagine you find 24 active ads. After sorting, you discover most are the same 30-second video with different headline text. That’s three concepts, not twenty-four: one video, one static offer, and one testimonial. The advertiser is running a narrow test with cosmetic variations, which is a very different picture from a broad creative push.
Here’s a simple way to do it:
- Screenshot or list every active ad, noting the Page it runs from.
- Build a spreadsheet with columns for hook, offer, format, and audience angle.
- Tag each ad in each column using plain words, such as “free estimate,” “before and after,” or “video.”
- Count the unique combinations. That is your concept count.
The common error is counting every variation as a separate strategy. A headline swap or a color change is a variation of one idea. If you borrow from the list, you want the ideas, not the permutations. For examples of concepts that hold up in a specific trade, see how Facebook ads for landscaping turn scrollers into booked jobs.
Measure it as distinct concepts versus total ads. A ratio far below one tells you the advertiser is iterating on a small number of bets, and that is the part worth studying.
4. Use ad start dates to separate winners from experiments
Each ad in the Library carries a start date, as of this writing. Those dates are the closest thing to a performance hint the public data offers. Advertisers generally switch off ads that don’t earn their keep, so an ad that has stayed live for a long stretch is more likely to be a stable performer than one that appeared last week. Recent starts, meanwhile, show what is being tested right now.
For an illustration, say one offer-led ad has been running for many months, and beside it sit five new ads all testing a different angle. Reasonable reading: the old ad is the core message, and the new five are the challengers. That tells you what the advertiser trusts and where they’re exploring.
To use this, note each ad’s start date, mark the oldest as the probable core message and the newest as tests, and come back monthly to see which tests survived and which vanished.
Be careful with the inference. Longevity is not proof of profit. An ad may simply have been left on because nobody looked at it, or because it costs little and does no harm. Treat age as a nudge toward a hypothesis, not a verdict.
For tracking, choose a threshold, such as 60 days, and record what share of active ads are older than it. Watching that share move over several checks shows whether the advertiser is settling on winners or churning through creative.
5. Track the count over time instead of once
A single look is a photograph. A dated log is a film. Advertisers launch around seasons, promotions, and slow periods, and none of that is visible in one snapshot. Logging the count every few weeks reveals their rhythm: when they ramp up, when they pull back, and when they swap offers.
Suppose your spreadsheet shows the count climbing sharply a few weeks before a seasonal promotion and falling right after it ends. That pattern tells you something no single number could: this advertiser times pushes to a calendar, and you could plan your own creative production ahead of the same window.
Setting it up takes ten minutes:
- Create a sheet with columns for date, active count, new concepts spotted, and offers seen.
- Check the Library every two to four weeks and add a row each time.
- Add a notes column for anything visible, like a holiday or a changed offer.
The mistake is checking once, drawing conclusions, and never returning. One data point can’t distinguish a deliberate push from a random Tuesday. You can see what a logged count looks like for other advertisers in our write-up on active Facebook ads count for utilitysa.com.
You’ll know it’s working when you have at least three consecutive dated entries and can point to a pattern, or honestly say there isn’t one yet. Be patient with this one, since the value arrives with the third and fourth entries, not the first.
6. Check what happens after the click
An ad is only the front half of a funnel. Whether it produces leads depends heavily on where it sends people, and the Ad Library lets you click through to that destination. Message match, meaning how closely the landing page repeats the promise the ad made, is often where competitors’ funnels leak.
Take an illustration: an ad promises a free quote, then lands visitors on a generic homepage with no visible phone number. Copying that ad would copy the leak. For a local service business this matters a great deal, because 40-70% of leads typically come by phone, and a page that hides the number gives up a large share of potential leads.
Do the click-through on your phone, since most Facebook traffic is mobile. Note these things:
- Whether the headline and offer match the ad
- How long the form is and what it asks for
- Whether a phone number is visible and tappable without scrolling
- How quickly the page loads on a normal mobile connection
Then run the same test on your own page and compare honestly. The common mistake is copying the ad while ignoring the page it feeds, which means importing half a system. If your own campaigns aren’t converting, why your Facebook ads are not generating leads walks through the usual culprits.
The measure that matters is yours: your landing page conversion rate and call volume against your previous baseline after you make changes inspired by what you saw. If you want a second opinion on the mechanics, our services overview shows how we handle the ad and the page together.
7. Turn what you learn into your own test plan
Observation only pays off when it becomes a test. Convert what you saw into three to five written hypotheses, such as “a guarantee angle will book more jobs than a price angle in my market.” Each should name one thing you expect to change and why.
An illustration of a clean test: two ad sets with equal budget, identical targeting, and the same landing page, differing only in that one leads with a guarantee and the other leads with a price. Because only one variable changed, the result means something.
- Write your three to five hypotheses in plain sentences.
- Build one variable per test so results are readable.
- Allow for the normal 30-90 day ramp before judging performance.
- Judge by booked jobs, not clicks or impressions.
The classic failure is cloning a competitor’s creative and judging it on clicks inside the first week. Early clicks are noisy, and a click isn’t a booked job. You also don’t know that the competitor’s offer, pricing, or close process resembles yours. A structured approach like how to optimize Facebook ads for leads keeps testing disciplined.
Measure cost per booked job, then compare it with the $10-25 Facebook cost-per-lead benchmark and your own close rate. A lead that costs $18 but never closes is worse than one that costs $24 and books half the time. If your account needs setup help, our page on Facebook ads manager for hire is a reasonable starting point.
Start free, then add structure before you spend
Begin with items 1 through 3. Checking the Ad Library, confirming every Page, and sorting ads into concepts costs nothing but an afternoon, and it will tell you more than the headline count ever could. Add the dated log and start-date notes next, because patterns only appear over weeks. Build test hypotheses last, once you have something real to test.
Skip nothing in that order, and resist the urge to launch copycat ads on day one. The research is there to sharpen your tests, not replace them.
Tired of spending money on marketing that doesn’t produce real revenue? We build lead systems that turn traffic into qualified leads and measurable sales growth. If you want to see what this would look like for your business, we’ll walk you through how it works and break down what’s realistic in your market. We can also review your Facebook account and tell you where it stands.
