In short
To validate an app idea with Meta ads, look at how many days competitors' ads have been live. An ad that runs for months is probably paying for itself, while one live for a few days is likely a test. AppHitlist sorts ads by days live, not spend. Run time is a hint, never proof of profit.
Why does the run time of an ad say anything?
Advertisers pay Meta to show ads, and they usually stop the ones that lose money. So an ad that keeps running week after week has probably survived a lot of tests. Someone looked at the numbers and decided to keep paying.
That is the whole logic, and it is only a hint. An ad that runs for months is probably paying for itself. An ad that has been live for a few days tells you almost nothing, because it may be a fresh test that will be turned off tomorrow.
Notice what this signal is not. It is not spend, it is not revenue and it is not proof that the app is profitable. It is a clue about which message and which format an advertiser keeps betting on.
How do you read days live?
Treat these as rules of thumb, not facts from any dataset. They are a way to sort what you see into piles.
In AppHitlist, ads are sorted by days live, with the longest-running ad first within each app. This is the reverse of how most feeds work, and it is the point: you see the ads that survived before the ones that were just launched.
- A few days: probably a test. Note it, but do not draw conclusions.
- A few weeks: the advertiser kept it through at least one review of results. Worth a closer look.
- Several months: probably a working ad. Study its hook, angle and offer.
- Many ads with the same angle, all live for long: the angle itself seems to work, not just one creative.
- An ad that is now inactive: it ran, then stopped. Look at how long it ran before it ended.
What should you look for in the creative?
Once you have a long-running ad, take it apart. Most ads are built from the same few pieces, and naming them makes patterns easy to see.
The hook is the first second or two: the line, the image or the motion that stops the scroll. The angle is the reason to care: save money, save time, look better, stop a worry, belong to a group. The offer and the call to action say what happens next: a free trial, a download, a quiz.
Also note the format. Some ads are a screen recording of the app, some are a person talking to the camera, some are a before and after, and some are a plain static image. If the longest-running ads for several apps in a category share a format, that is a signal about what the audience accepts.
Do not copy a creative. Learn why it works, and make your own, because your app, your screenshots and your promise will differ.
How do you turn ads into a test for your idea?
Ads alone do not validate an idea. They tell you that an audience exists and what message reaches it. The next step is to check that your product can keep that promise.
- Collect ten long-running ads from apps near your idea and group them by angle.
- Pick the two angles that appear most often.
- Read the 1- and 2-star reviews of those apps. Check whether the promise in the ad is the same one users say the app breaks.
- Write three versions of your own message, each built on a different angle, using plain words from the reviews.
- Run a small test of your own, such as a landing page with a waitlist or a short paid test, before you build everything.
Where does this method break down?
Be honest about the limits, or the method will mislead you.
The first limit is data. The ad data in AppHitlist comes from the Meta Ad Library for the EU and the UK. It is not a spend tracker, and it does not show the budget, the audience or the results of any ad.
The second limit is logic. An ad can run for a long time on a tiny budget, or because nobody turned it off. A rich company can also keep an ad alive even if it only breaks even. And many strong apps do not advertise on Meta at all and grow through search, referrals or other channels such as TikTok and Apple Ads.
So treat ad run time as one signal among several. Combine it with rank history, complaint themes and ratings, and remember that revenue estimates can be wrong.