Updated
Definition
Ad library data is the competitive advertising record drawn from the platforms' public transparency archives, where Meta, Google, LinkedIn — and platforms like TikTok — publish the ads currently running on their networks.
As data sources the libraries share two limits. Coverage is siloed: each archive knows only its own platform, so a cross-platform view of one advertiser means querying several systems with different schemas and search behaviors. Retention is worse: for most commercial ads the archive is a window onto what is running now, and an ad that stops generally leaves it, taking the most useful signal, how long each creative survived, with it.
Working with ad library data programmatically therefore means capture, not just query. Adveron tracks the Meta, Google, and LinkedIn libraries daily for tracked brands and stores what it finds permanently, so the record accumulates what the archives forget: an ad's full run, its lifespan, and the advertiser's creative history over time. Each stored ad keeps its link back to the native library entry.
You can, one platform at a time, for what is currently running. The gaps are the cross-platform join and the history: without daily capture there is no record of what an advertiser ran last quarter or how long any creative lasted, and lifespan is the closest public proxy for what worked.
No archive publishes advertiser performance data such as spend on a given creative or its click rates. What the record supports is inference: creatives that keep running are being paid for, and the accumulated history makes that survival signal readable.
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