Measurement
Sponsored Intelligence measurement centers on engagement and intent signals rather than traditional impression-based metrics.Key metrics
| Metric | Field | Description |
|---|---|---|
| Engagements | engagements | User interactions with sponsored content — clicks, expansions, follow-up questions about the brand |
| Clicks | clicks | Outbound clicks to advertiser destination |
| Cost per click | rate (CPC) | Average cost per click — the primary pricing model for most SI products |
| Cost per engagement | Derived: spend / engagements | A reporting metric (not a pricing model) that measures efficiency across all interaction types |
Conversion tracking
AI platforms that support conversion tracking declare it inget_adcp_capabilities under conversion_tracking. Buyers set up event sources via sync_event_sources and use kind: "event" optimization goals on packages — the same pattern as any other channel. See Optimization & Reporting for details.
Measurement does not change
AdCP changes how you buy media, not how you measure it. Your existing measurement stack — media mix modeling, mobile measurement partners, multi-touch attribution, incrementality testing — works the same way. Sponsored Intelligence is a new channel in your media plan, not a new measurement paradigm. The protocol does make measurement easier in one specific way: because you push conversion events into platforms viasync_event_sources, the platform can optimize toward your real business outcomes instead of proxy metrics. But how you evaluate whether that spend was worth it uses the same tools and frameworks you use today.
Beyond ads: commerce in the conversation
AI surfaces are uniquely positioned for commerce. A user asking an AI assistant about running shoes is expressing intent in a context where the platform can recommend, compare, and — eventually — help the user buy. Today, AdCP handles the advertising layer: catalogs, media buys, and delivery. Offering catalogs viasync_catalogs already enable commerce handoffs through SI Chat Protocol sessions, where the user can browse products and transition to checkout. As commerce protocols mature, the path from “interested” to “purchased” will happen entirely within the conversation.