Public and IPO Company Ad Examples: 17,353 Distinct Ad Creatives From 78 Companies

Yes. AdPeekly collapses creative variants into one row per template, so 17,353 means 17,353 distinct creatives rather than the same ad counted repeatedly. Before deduplication the same Public / IPO companies' ads total 50,295 ad records. The median Public / IPO advertiser ships about 2.73 variants of each creative, so counting raw records would inflate every number on this page without adding a single new ad worth looking at.

From the campaign start and end dates LinkedIn reports on the ad itself, across the 6,296 creatives here that carry one, out of 17,353 total. That gives a median of 14 days. Ads without a reported start date are excluded from the median on purpose: for those the only measurable span is the time between AdPeekly first and last seeing them, which tracks our scraping schedule rather than the advertiser's decision. Mixing the two populations produces a number that looks precise and means nothing.

74.5% of the 3,302 creatives from 48 companies that AdPeekly re-checked in the 7 days to September 28, 2026. The filter is per creative, not per company: a company can have some ads inside that window and others outside it, and only the recently re-checked ones count. Creatives not revisited in that window are left out, because an ad that has not been looked at recently keeps whatever status it last had. Counting those would measure how recently AdPeekly scraped it rather than whether it is live, and the two are easy to confuse.

It is the funding stage AdPeekly's company enrichment records for each advertiser, the same field the in-app funding stage filter reads. 78 of the companies AdPeekly tracks are at the public or IPO stage today. Funding stage is a snapshot, not a history: a company that has since raised a later round or been acquired is filed under its most recently recorded stage, not every stage it has ever passed through.

No. AdPeekly tracks a curated list of B2B companies, 78 of them recorded at the Public / IPO stage, rather than crawling every advertiser on the platform. That makes the dataset deep on the companies it follows and silent on the ones it does not. Read the shares and medians here as describing the tracked set, not every Public / IPO company running LinkedIn ads. The methodology page names the selection rule and the known biases.

Only one company at a time, and only while the campaign is live. LinkedIn's Ad Library has no keyword search, no funding-stage filter, no export and no archive, so ads disappear when campaigns end and nothing records how long they ran. That is why this page exists: a cross-company view of Public / IPO advertising with the history still attached.