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EnglishWhat Podscribe's Ad Verification Checks For
Updated
Podscribe's ad verification automatically reviews podcast and audio ad placements for 18+ common issues across delivery, placement, and copy, then alerts you before those errors affect campaign performance. It is built for advertisers, agencies, and publishers running podcast, streaming, radio, CTV, and video ads who want to catch make-good-worthy mistakes without manually reviewing airchecks. According to Podscribe, 18% of podcast ads contain errors significant enough to warrant a make-good.
The Three Categories of Checks
Podscribe groups its automated checks into three areas:
| Category | What it covers |
|---|---|
| Delivery | Whether the ad ran as expected and impressions were delivered |
| Placement | Where and how the ad appeared within the episode or stream |
| Copy | Whether the ad read matched the intended script or creative |
The platform auto-checks ads across 18+ issue flags within these categories. Podscribe does not publish the full list of individual flags on its site, so the exact checks beyond these categories would need to be confirmed in a demo or through their help center.
How the Verification Process Works
Automated airchecks
Instead of manually listening to or reviewing airchecks, Podscribe uses AI-driven automation to read, listen to, and report on ad placements in real time. This means every placement and ad read gets reviewed systematically rather than by sampling.
Issue alerts
When the system detects an error, it sends alerts across the 18+ issue flags. The stated goal is to surface mistakes before they impact performance, so you can pursue make-goods or corrections while the campaign is still running.
Impression verification
Podscribe verifies every impression without requiring you to maintain a separate campaign calendar, track exact drop dates, or upload CSVs. Campaign data is ingested and managed centrally, and download counts are IAB-certified third-party figures.
What You Get Out of It
- Visibility into every placement, ad read, and impression — not just a subset
- Faster error detection — alerts arrive in real time rather than after a manual review cycle
- Less manual work — Podscribe claims automated reporting saves 10+ hours per week, with aircheck review handled by automation
When This Matters Most
Verification is most useful if you run enough podcast or audio inventory that manual aircheck review is impractical, or if you suspect delivery or copy errors are quietly eroding performance. If you only run a handful of placements and already review each one manually, the value is smaller. Because Podscribe does not detail every one of the 18+ flags publicly, ask for the specific issue list during a demo if your compliance or brand-safety needs require exact coverage.