Analyzing Competitor Ads

Every ad a company runs on LinkedIn is publicly visible, and the same goes for Google and Meta. That's no substitute for testing your own creative, but it's the fastest route to solid hypotheses, and it costs nothing but half an hour. Any team can do this research itself, with no tool budget required.

Three free libraries

Each of the three relevant channels has its own public archive:

• The LinkedIn Ad Library. Free and searchable without a login, by company name, keyword, country, and date range. It shows every ad a company has run since June 2023 and keeps each one visible for about a year after its last impression. The fastest entry point is the "Ads" tab on a competitor's company page.
• The Google Ads Transparency Center. Shows which Search, Display, and YouTube ads a given advertiser is running. Useful when your competitor is also capturing demand through Google.
• The Meta Ad Library. Covers Facebook and Instagram. Less relevant in B2B, but worth a look if your audience spends time there too.

The EU bonus: you can see the targeting

This is the strongest lever for the DACH market, and almost nobody uses it. For ads served in the EU, the LinkedIn Ad Library has to disclose more than it does elsewhere, due to the legal transparency requirement. What becomes visible: the actual advertiser identity behind the account, the ad's targeting criteria such as job function, seniority, industry, region, and company size, and a rough reach range within the EU. So you don't just see what your competitor is saying, you see roughly who they're saying it to. For your own audience planning, that's worth its weight in gold.

The most important signal: runtime

The key question for any competitor ad isn't whether you like it, it's whether it's working. And runtime tells you that. Nobody spends budget on an ad for months if it isn't delivering results. An ad that has been running unchanged for many weeks is therefore a strong signal that it's performing for that competitor. An ad that disappears again after a few days, on the other hand, tells you very little. The date-range filter shows you at a glance what's a long-runner and what was just a short test.

What to systematically pull out of it

To make this more than just browsing, work through a fixed checklist. For every relevant competitor, note:

• Which ads are active and since when. The long-runners are the interesting ones.
• The format mix. Is the competitor running Single Image, video, Document Ads, or boosted personal posts? That tells you what they're betting on in the feed.
• The offer being promoted. Which lead magnet (a free knowledge asset traded for contact details), which webinar, which demo. That reveals their funnel logic.
• The call to action and the hook. How does the ad open, and what action does it ask for. This is exactly where you'll find the angles that are currently working in the market.
• The targeting, where visible. In the EU, the criteria shown in the transparency view.

What the libraries don't show

Stay honest about the limits, or you'll read too much into what you see. None of the libraries show click-through rates, budgets, conversions, or engagement, and there's no open interface for pulling this data automatically. You see what's running and for how long, but not how profitable it is. That's exactly why runtime is the best available proxy for success, and why every insight you draw stays a hypothesis, never proof.

From observation to your own hypothesis

This research only pays off once you translate it into your own tests. If a long-runner looks like a boosted personal post, that's a signal to test Thought Leader Ads yourself. If a particular lead magnet keeps showing up, check whether your offer can compete with it. If a hook pattern repeats, build your own variant for your copywriting. And your competitors' format mix is a good starting point for choosing your own ad formats and generating ideas for your creatives. That's how what others have already tested becomes your own, faster starting point.