MediaPost

When to Use Data Clean Rooms

The article argues that data clean rooms (DCRs) have moved from niche technology to a mainstream marketing tool, but their competitive advantage now depends on choosing them only when they deliver real business value. While earlier industry debates (since Google Ads Data Hub launched in 2017) emphasized privacy and secure collaboration, recent discussions have focused on infrastructure, identity, governance, and interoperability. The author calls for practical, business-first decision frameworks to help organizations evaluate when a DCR is the appropriate solution versus simpler measurement or reporting approaches. The IAB Commerce Center of Excellence is exploring what such frameworks could look like, and the piece warns that DCR adoption requires meaningful investment, expertise, and governance — meaning deciding when not to use a DCR is as important as deciding when to use one.

IAB Tech Lab Proposes SupplyChain v1.1 for schain

The IAB Tech Lab has proposed Supplychain v1.1, an extension to the OpenRTB Supplychain (schain) object, to make technical hops in programmatic bid requests more visible. The draft adds a new version marker and a flag (hp=0) to indicate actors that take technical responsibility for a bid request without participating in the payment flow (examples: Prebid, ad servers, SSAI platforms, SDKs, wrappers). The proposal is in public comment until 21 August 2026. The change aims to shift supply-path-optimization (SPO) away from simplistic node-counting toward transparency, accountability and bid-quality analysis, but adoption depends on coordinated implementation and consistent, machine-readable data across SSPs, DSPs, publishers and ad infrastructure vendors.

Integrate Search and Video Teams for TV Ads

MarTech argues that search marketing must be integrated with TV and video creative to capture immediate demand generated by high-impact ads. Citing DAIVID data published May 13, 2026, the Fox Sports World Cup promo “Miracle” led DAIVID’s emotional-engagement rankings and produced strong attention and recall metrics. The piece explains that TV ads produce four distinct post-air search query types (branded, campaign, asset, category), recommends planning search (bids, landing pages, metadata) during creative development, and endorses using a Branded Search Lift Model (BSLM) plus real-time spike detection to measure incremental intent. The article emphasizes that automated bidding tools handle only a minority of the work (the “10/90 rule”) and that human coordination across creative, media and search teams is required before first broadcast to avoid routing interested users to competitors.