Use case
Unlock Ad Intelligence: The Company Context Behind Every Ad
A great ad without business context is just a screenshot. Every one of AdPeekly's 266,919 published ads is tied to a company profile carrying industry, funding stage, company size and buyer ICP, so a creative isn't just an idea, it's an idea attached to who ran it and where they stood at the time.
One ad, annotated
Here's what that looks like on a real, published ad rather than in the abstract: a Semgrep creative headlined "See supply chain defense that runs 24/7." On its own it's a single image ad. With context attached, it's a Cybersecurity company's ad, observed running for 106 days, which by itself is already a signal, most ads on LinkedIn don't last that long. That's the difference enrichment makes: the same pixels, with the facts that make them useful attached.
- Company
- Semgrep
- Industry
- Cybersecurity
- Ad format
- Single Image Ad
- Observed duration
- 106 days
Fields shown are the ones this specific ad carries in AdPeekly's dataset. Company size and buyer ICP are also captured on every company profile; see the corpus-wide breakdown below for what those look like in aggregate.
Funding stage, across the whole dataset
Funding stage is one of the enrichment fields attached to every company AdPeekly tracks, and it isn't evenly distributed. Series C companies run the most advertising in this dataset by advertiser count, and early-stage companies still show up in real volume, not as a rounding error. Here's the breakdown, by number of advertisers with a start-dated campaign at each stage:
| Funding stage | Advertisers | Median duration |
|---|---|---|
| Series C | 145 | 19 days |
| Series A | 126 | 22 days |
| Public / IPO | 74 | 14 days |
| Series B | 73 | 22 days |
| Seed | 39 | 16 days |
| Private Equity | 21 | 18 days |
That's exactly the kind of cut a raw ad gallery can't give you: comparing your own funding stage against the campaign lengths companies at that same stage actually run, rather than benchmarking against everyone at once. The full breakdown, including industry, lives at /stats/linkedin-campaign-duration.
What every ad carries
Four fields sit behind every published ad: industry (the advertiser's business category), funding stage (seed through public/acquired), company size (headcount band) and buyer ICP (who the company itself sells to). None of these are inferred from the ad's copy; they're attached to the company profile behind it. Exactly how each is defined, sourced and how complete coverage is for each one is spelled out at /methodology, rather than restated here without the caveats that page already carries.
See also
Context is only useful once you have ads to attach it to. Browse the creative inspiration gallery for real examples to start from, or find the ones companies keep running to combine company context with a duration signal.
Every ad has a company behind it. Now you can filter by it.
Open the full app and filter by industry, funding stage, company size and buyer ICP together, or connect the MCP server and ask an assistant you already use to pull the context for you. Free tier covers 3 searches a day, no card required.
No card for the free tier. Full tool reference at /mcp.
1Password
Attio
Asana
Celonis
Affinity
BioRender
Ashby
Demandbase
CodeAnt
Dost
Questions about ad intelligence and company context
Ad intelligence is the business context attached to a creative, not the creative itself. A screenshot of an ad tells you what it says; it doesn't tell you whether the company behind it is a five-person seed startup or a public company with a dedicated brand team, and that distinction changes whether the ad is actually a useful reference for your own situation. AdPeekly enriches every one of its 266,919 published ads with the advertiser's industry and funding stage, and company profiles carry company size and buyer ICP alongside them. A great headline from a company at a wildly different stage or size than yours is often the wrong thing to copy; ad intelligence is what lets you filter for the ones that are actually comparable.
It's sourced and reviewed, not guessed by a model reading the ad in isolation. Funding stage and industry are attached at the company level and kept current as companies raise, get acquired or go public, and every stage shown on this page traces back to a generated, committed dataset rather than a live estimate this page invents on the fly. Coverage isn't uniform everywhere: some fields are populated for the large majority of companies and a few are thinner for newer additions to the tracked list. The full definition of every field, what populates it and where the gaps are, is written out at /methodology rather than asserted here without a source.
Yes, inside the full app, where filters run against the live dataset rather than a static page. This page illustrates what the enrichment looks like with one real annotated ad and the corpus-wide funding-stage breakdown below; it isn't a live filter itself. Signing up gets you the actual filter bar: industry, buyer ICP, company size, funding stage, revenue, ad type, variants and more, all queryable together across 100,659 distinct creatives.
Find ads relevant to your business, not just any ad
Industry, funding stage, company size and buyer ICP, on every one of 266,919 published ads.
See pricingData verified September 28, 2026. Compiled by Daniele Viero, founder of AdPeekly. How it is collected: methodology.