u/playwire_adops

Amazon Approvals & UGC Content Governance Best Practices
▲ 14 r/adops

Amazon Approvals & UGC Content Governance Best Practices

Disclosure up front: I work at Playwire. We deal with this constantly on behalf of publishers, and I got tired of not being able to point anyone at a straight answer. Posting because I think the findings are useful regardless of who you work with.

In the last year, a lot of publishers lost Amazon demand or can't get approved, and very few really know why. The answer is often UGC, and many premium demand partners are moving in the same direction as Amazon.

What's being evaluated in terms of UGC, from what we see in practice:

Amazon runs a content governance and brand safety review before approving publishers. It covers moderation practice, review and approval process, takedown timelines, audit cadence, sensitive content handling, whether policies are documented, and automated screening.

It's a governance evaluation, not a content evaluation. Amazon isn't asking whether your content is good. It's asking whether you can demonstrate control over content you didn't write.

And UGC is a much wider net than people assume. Comments count. Usernames, avatars, reviews, uploads. If a stranger can put it on your page, it's a surface a demand partner treats as risk. The number of publishers who've never thought of their comment section this way is basically all of them.

One more thing: Amazon typically reviews each submission once. Getting a second look or an appeal is hard. Which makes getting your governance policy locked in before you submit super important.

Stakes, for calibration: across our network Amazon averages 20.5% of total site revenue where it runs, median 17.6%, and 2.35× more per site than any other bidder we measure.

Learn more here: https://www.playwire.com/blog/what-ugc-governance-documentation-amazon-expects-before-approving-you

u/playwire_adops — 7 days ago
▲ 18 r/adops

Playwire here. We pulled a year of aggregated ecosystem data (sessions, RPS, CPM, fill rate, viewability, ad density across 1,200+ publisher sites) and wrote up what we found. Full report is free at the link below.

The findings that I think are most worth arguing about in this community:

  • Impressions per pageview (r = 0.59) is the single strongest RPS predictor. Not CPM. Not fill rate. Not viewability. The number of ads that actually load on each page is more predictive than anything else we measured, by a wide margin.
  • Session duration correlates with RPS at r = −0.03. Pageviews per session (r = 0.27) is nearly 10x stronger. If you're optimizing for time-on-site, you should be shifting to optimizing for pages per session.
  • The floor price trap is real and quantifiable. Within the same demand tier, publishers with right-sized floors fill 2x more inventory and earn 19% more RPS despite a 2.5x lower CPM. Aggressive floors almost never pencil out.

All RPS figures are indexed, no absolute revenue numbers disclosed.

Full report: https://www.playwire.com/2026-state-of-publisher-ad-revenue-report

We're also hosting a webinar on June 11 to walk through the methodology and take questions. If you want to ask questions about how we ran the analysis, that's the place for it: https://www.playwire.com/state-of-ad-revenue-report-2026-webinar

Happy to answer questions here in the meantime.

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u/playwire_adops — 4 months ago