How to Choose an Ad Spy Tool: Buyer's Checklist
Platform coverage is the one thing a subscription cannot fix later. A nine point checklist for choosing an ad spy tool, plus the trial tests vendors dislike.
By the AdEye team
August 2026 · 9 min read
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Choose an ad spy tool by working through four questions in order: which ad platforms does it actually read, can it search ad copy rather than only brand names, does it show how long each ad has run and how many variants exist, and is the data live or cached. Platform coverage is the one thing a subscription cannot fix later, so decide your platform list first. Everything else is a preference. Expect to pay between roughly 30 and 300 dollars a month, and if you only check one or two competitors on one platform, the free public libraries are genuinely the right answer. Last updated August 2026.
Almost every "best ad spy tool" article is an affiliate page, which is why they all recommend a different winner and all sound equally confident. The tools are also genuinely hard to compare from the outside, because every vendor describes the same underlying capability in different language, and the demos are built to hide the limits rather than show them.
Underneath the marketing, all of these tools are reading advertising that the platforms publish on purpose. Meta publishes Facebook and Instagram ads through its Ad Library. Google publishes Search, Display, Gmail and YouTube advertising through the Ads Transparency Center. TikTok exposes creative through its Creative Center. Native networks like Taboola and Outbrain publish nothing official, which is why native tools are a separate category with separate vendors. Once you accept that the raw material is shared, the question stops being "which tool is best" and becomes "which one turns that raw material into something I will actually use".
What should I look for in an ad spy tool?
Nine things, in rough order of how much they matter. Most buyers evaluate in the opposite order, which is how people end up paying for a beautiful interface over a platform they do not advertise on.
| # | What to check | Why it matters | How to test it in five minutes |
|---|---|---|---|
| 1 | Platform coverage | The only constraint you cannot buy your way out of later | List the platforms you advertise on, then find them named explicitly on the pricing page |
| 2 | Keyword search across ad copy | Decides whether you can discover advertisers you had not thought of | Search a category phrase, not a brand. Count how many unfamiliar advertisers appear |
| 3 | Run length shown per ad | The strongest public evidence that a creative is working | Sort by longest running. If you cannot, the tool is an archive, not a decision aid |
| 4 | Variation count per concept | Shows where a competitor is investing rather than testing | Pull one heavy advertiser and see whether duplicates are collapsed |
| 5 | Live versus cached data | A stale cache shows you ads that stopped months ago | Check a competitor you know launched recently and see if it appears |
| 6 | Format and hook filtering | Lets you read twenty relevant examples instead of scrolling everything | Filter to the exact format you are about to brief |
| 7 | Saving, boards and exports | Ads disappear when campaigns end, so capture matters | Save an ad, then try to get it out as a shareable board or file |
| 8 | Retained history per advertiser | Turns occasional research into ongoing monitoring, since the free libraries only ever show today | Check whether a competitor's stopped ads and first-seen dates are still there |
| 9 | Seats and client separation | Agency pricing multiplies fast on both | Ask the cost of the fourth seat and the tenth client |
If you want the same evaluation applied to named products rather than criteria, the ad spy tool comparison sets the main vendors side by side on platform focus and extension availability.
Does it cover the platforms I actually advertise on?
This is the question that decides the purchase, and it is the one most buyers answer last. A tool built on the Meta Ad Library can show you Facebook and Instagram and nothing else, however good its filters are. A native specialist reads Taboola and Outbrain and knows nothing about your TikTok competitors. Neither is a flaw. They are different products for different jobs.
So write your platform list down before you look at any vendor. If everything you run is on Meta, buy Meta depth and ignore breadth entirely, because the deepest Facebook archives are single-platform products. If you brief creative across three or four platforms, a single-platform tool leaves you doing the cross-platform comparison by hand in browser tabs, which is the work you were trying to stop doing. And check the specific surface, not just the brand: YouTube video ads are published through Google's Ads Transparency Center rather than a YouTube library, so a tool can claim Google coverage while doing very little with video.
Can it search ad copy, or only brand names?
Brand search answers the question you already had. Keyword search across the ad text answers the question you did not know to ask, because it returns every advertiser using a phrase regardless of whether you had heard of them. That is where new angles come from, and it is usually the smaller advertisers who supply them, since they test more aggressively than the market leader and have less to lose by being strange.
Test this in the trial with a category phrase or a customer objection rather than a company name. If the results are dominated by advertisers already on your list, the search is shallower than the marketing implied.
Does it show run length and variation count?
No tool can show you a competitor's results. For ordinary commercial advertising the public libraries publish no spend, no impressions, no click-through rate and no conversion rate. Political and social issue advertising carries spend ranges, and ads delivered in the EU and UK carry impression ranges, but a normal ecommerce or SaaS advertiser discloses none of it. Any vendor quoting you a precise competitor spend figure is showing you a model estimate, and the honest ones say so on the page.
What is genuinely observable is duration and iteration. Advertisers switch off creative that loses money, so an ad still running after four months has passed a test that no critique of its design can replicate. When five variants exist around one concept, the advertiser is iterating on something that worked. Those two public facts are the closest proxy for a winner that exists, and a tool that does not surface them is asking you to judge ads on production quality. There is more on reading those signals in our guide to what makes a winning ad.
One related warning about the creative itself: the ads that survive longest usually lead with specific proof rather than adjectives, which is worth noticing before you brief anything. If your own ads have nothing concrete to point at, the bottleneck is not your research tooling, it is that nobody has collected the customer proof yet. No amount of competitor research substitutes for having something true to say.
How do I know if a tool's data is live or cached?
Some tools query the public libraries close to real time. Others crawl on a schedule into their own database, which is what makes large historical archives possible but also means you can be looking at a campaign that ended weeks ago. Both designs are legitimate and the trade is explicit once you know to ask: live data is accurate about now, cached data is the only way to see the past, since Meta drops ordinary ads from the library the moment an advertiser stops them.
The five minute test is to pick a competitor you know launched something recently and see whether it shows up. Then pick an ad you know was switched off and see whether the tool still presents it as active. A tool that shows dead ads without marking them as ended will quietly waste your time.
Do I need a browser extension or a web app?
Extensions and web apps solve different problems. An extension saves what you are already looking at, so it suits people who browse competitor sites and libraries by hand and want a fast capture button. A web app reads the libraries server-side, so it suits people who want to search a category they have not browsed and see results they would never have scrolled past.
Several vendors ship extensions, and most require an active account to return full data. AdEye is a web app and has no extension by design, because reading the library server-side means a competitor's whole run history is there whether or not you happened to scroll past the ad. If you want the fuller breakdown of which vendors actually ship one, we went through them in the ad spy Chrome extension writeup.
How much should an ad spy tool cost?
Entry tiers across the category generally start somewhere between 30 and 70 dollars a month, mid tiers run roughly 100 to 200, and agency tiers sit around 250 to 450. Enterprise market-data providers are a different market entirely and quote custom pricing. Vendor pricing changes several times a year and several vendors block automated checking, so treat any table of prices, including ours, as a starting point and confirm on the vendor site. We go deeper on the ranges in how much ad spy tools cost.
For agencies the headline price is the least important number. Ask what the fourth seat costs, whether boards can be separated per client, whether exports and client-ready reporting are included, and whether API access is gated behind an enterprise tier, because it usually is.
What should I ask during a trial?
Bring your own competitors rather than accepting the demo account, and run these five checks: search a category phrase and count the unfamiliar advertisers, sort your top competitor by longest running ad, look for a competitor you know launched last week, filter to the one format you brief most often, and try to get a saved board out of the tool and into a document someone else can read. Fifteen minutes of that tells you more than an hour of sales call.
When is a free ad library enough?
More often than the category admits. If you check one or two competitors on one platform every few weeks, the Meta Ad Library, the Google Ads Transparency Center and the TikTok Creative Center will do the job for nothing, and you should use them. Paid tools start earning their keep at the point where you are researching many advertisers, across more than one platform, and need the results to persist: search in one place, run-length signals, a history the free libraries do not keep, saved boards and exports. Below that threshold you are paying for convenience you will not use. We wrote about where that line falls in do I need an ad spy tool.
The mistakes that waste the first month
Four recur. Buying on archive size when your real problem is that you only ever look at three competitors, since a bigger archive does not fix a narrow search habit. Counting duplicate ad IDs as distinct creatives, which is the most common way people overestimate a competitor's output, because Meta lists ad-set copies separately. Treating a modelled spend estimate as a measurement and then briefing against a number nobody measured. And collecting hundreds of saved ads without ever writing down the pattern, which turns research into a hoarding habit rather than a decision.
The tool is worth what you do with it. A short weekly pass across your category, twenty ads read properly, and one written note about which angle nobody is running will beat any subscription used as a scrolling feed. If you want to see how AdEye handles the Google half of that pass, with a brand's Search, Shopping, Display and YouTube ads in one search, the feed above is live and you can run a competitor through it now. For the Meta half, a dedicated Facebook ads spy tool or the free Meta Ad Library is still the answer.
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