Aeion Ads for Publisher Yield Optimization
Publishers running ads across 5-12 networks + direct sales typically leave 25-40% of revenue on the table due to suboptimal waterfall ordering, manual floor pricing, and lack of contextual optimization at the impression level. Aeion Ads runs AI-driven waterfall mediation across AdSense + Meta + Amazon + Taboola + Outbrain + 5 other networks + your direct deals, with per-context RPM optimization (geography, device, page section, time of day). Lift RPM 25-40% on top of your existing baseline.
The Publisher Yield Problem
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How Aeion Optimizes Yield
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Walkthrough — Mid-Market Digital Publisher
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FAQ
Header bidding runs in the browser; Aeion's waterfall runs server-side via the same SDK. Browser-side has latency + ad-block exposure; server-side is faster + ad-block-resistant. It's still a sequential waterfall rather than a parallel auction — the optimization Aeion adds over vanilla Prebid is contextual reordering of the try-sequence, not simultaneous bidding.
You'll recreate your GAM line items as Aeion direct campaigns — there's no automated Google Ad Manager connector today, so plan for a manual line-item rebuild rather than a one-click migration. Cutover via an A/B traffic split to de-risk.
Yes — VAST 4.x for video, with pre-roll / mid-roll / post-roll placement, viewability tracking, and quartile-completion events. VPAID is supported but discouraged in favor of OMID for verification.
A contextual-bandit model buckets historical fill rate + eCPM by segment (country × device × daypart × page section) and ranks networks per-segment, exploiting known winners while still exploring under-sampled ones. It falls back to your aggregate priority order when a segment doesn't have enough data yet. The model rebuilds on a daily cycle, not a live per-impression prediction, and a new tenant starts from their existing baseline while it learns.
Aeion's contextual optimization is built on first-party signals (geo, device, page context, daypart) that don't depend on third-party cookies or an identity graph, so it works the same in a cookieless environment. There's no dedicated Topics API / UID 2.0 / RampID / ID5 integration today.
Tenant-configurable blocklists for categories, advertisers, and domains, plus a creative review queue (pending/approved/rejected) so nothing serves without sign-off. Consent-aware serving modes (personalized/contextual/limited) respect IAB TCF v2 signals.
Aeion's multi-tenancy handles publishers running ads across multiple properties, with per-property reporting and network configuration.
Not currently supported as a distinct deal type — direct campaigns get priority over the network waterfall, but there's no dedicated PG/non-preemptable deal structure today.
Yes — the per-network analytics view shows revenue, fill rate, and eCPM by network over time, so you can see exactly what's driving the contextual reordering rather than treating it as a black box.
The optimization is on the publisher side — choosing which network to try first for a given context. Advertisers see standard auction dynamics within whichever network they're bidding on; their individual bids aren't manipulated by Aeion.