
How Mobile Teams Research Competitor App Install Ads
App install advertising is crowded and fast. Rival studios test new videos every week, and a creative idea that lifts installs for one team is visible to every other team within days. Systematic competitor research turns that visibility into an advantage instead of a distraction.
What install ad research is for
Good research answers a handful of practical questions. Which formats are competitors using, such as short video, playable previews, static images or carousels? Which hooks open their videos? What do they promise in the first seconds, and what does the store page show after the tap? How often do they launch new creative?
The goal is not to copy. It is to find the gaps, the angles that no competitor is using and the patterns that nearly everyone shares and that may be worth breaking. Research also gives a baseline for judging a team's own creative output against the category.
A research tool is one way to gather material. An AI ad spy tool such as GetHookd collects public Meta ads into a searchable library with filters for niche, format and runtime, and its Brand Spy feature follows a chosen competitor so that new ads appear in a feed with launch dates and the number of ads each brand has live.
Start with the free official sources
Before paying for anything, use the platforms' own transparency tools. Meta's Ad Library shows active ads for any Facebook Page, and a rival's install campaigns can be found by searching the developer or app name.
For Google surfaces, the Ads Transparency Center is a searchable repository of advertisers and the ads they have served on Google platforms such as Search, Display, Gmail and YouTube. Google's help page explains that it lets users search for advertisers to learn more about them and the ads they have run during a certain time period. Many mobile campaigns run on YouTube and display placements, so the center covers ground that a Meta-only tool does not.
Add the store pages themselves. Screenshots, preview videos and descriptions on the App Store and Google Play show how competitors present the product to people who arrive from an ad, and changes there often signal new campaign themes. Public rating and review trends are another quiet signal. A sudden drop after an update, or a wave of reviews that praise one feature, can show where competitors may focus their next message. Track these items in the same spreadsheet as the ads so that creative themes and product changes can be read together, and note the dates, since timing often explains a shift in approach.
What a Meta-focused tool adds and where it stops
A dedicated library saves time on repetitive work. Instead of searching one advertiser at a time, researchers can filter a category, sort by how long ads have been live and save the best examples into shared boards. Saved ads stay in the account after advertisers turn them off, which builds a record of how competitors' creative changed over months.
The limits matter for mobile teams. GetHookd's FAQ states that it covers Facebook and Instagram ads and that TikTok is not included today, and that it shows what is observable in the public library without estimating spend. It also says coverage is thinnest in smaller countries and in service or information niches, so a team in a narrow app category should check coverage with the free trial before committing.
For those reasons, the tool is best used as one input. Pair it with the Google transparency center, store page tracking and the team's own data. Cross-checking keeps any single source from skewing the view.
Reading creatives like a mobile marketer
Collect enough examples to see patterns, usually twenty to fifty per competitor, and tag them. Useful tags include the opening hook, the type of footage such as gameplay, screen recording or user-generated style, the on-screen text, the call to action and the length. A spreadsheet or board with those columns turns impressions into data.
Look at cadence as well as content. A competitor that launches many new variations each week is probably testing hooks aggressively, while one that keeps a few ads for months may have found a stable winner. Note which ads from the same brand run side by side, since that often reveals what is being tested.
Check alignment between ad and store page. If the ad promises a feature that the first screenshot does not show, installs may suffer, and that gap is an opening for a team whose message stays consistent. Record each mismatch as a note for the next brief.
From research to a test plan
Turn findings into a short list of hypotheses. For example, a team might notice that most rivals open with gameplay and none opens with a social proof moment, and decide to test a testimonial-style hook against their best gameplay hook. Each hypothesis needs a creative, a budget and a measure of success decided in advance.
Keep the research current. A monthly review of the same competitor set, using saved boards and the free transparency tools, is enough to spot shifts without turning into a time sink. Archive the findings, because next quarter's brief will need them.
Remember that public ads show what competitors run, not how well it performs. Their real results stay private, so decisions should rest on the team's own tests.
Share the output beyond the creative team. Product managers and ASO specialists benefit from the same boards, because store page tests and ad tests inform each other, and a shared record prevents the same idea from being tested twice.


