Worked examples: what the stack does for each kind of publisher
These are example scenarios with the numbers we aim for, not reports on named customers. Each one shows the usual problems for that kind of publisher, what we change, and how the result is measured.
A web publisher lifted programmatic revenue 31% in 60 days with AI floors
A high-traffic content network ran static floors set two years earlier and a bloated 14-bidder client-side wrapper. CPMs had eroded under first-price bid shading, pages were slow, and the team had no holdout measurement to know what was actually working.
An app publisher grew ARPDAU 41% with rewarded video and bidding mediation
A casual gaming studio monetized with a static mediation waterfall and banner-only inventory. Fill was mispriced at every layer, rewarded placements didn't exist, and each new network SDK pushed ANR rates higher.
A CTV publisher doubled pod fill with SSAI and OpenRTB direct demand
A FAST channel operator monetized broadcast-quality streams through a single reseller path. Ad pods were stitched manually, fill hovered near 40%, and client-side insertion was being blocked on connected-TV devices.