Utiq

DAZN: More Ad Touchpoints, Fewer Interruptions

DAZN's Patrick Kettenbach discusses the streamer’s approach to advertising around live sports, including new formats like Pause Ads, Stories and a Fanzone designed to add touchpoints without interrupting viewing. DAZN reports most live football viewing occurs on the big screen (75–85%+), consolidates inventory via Google Ad Manager across OTT, YouTube, Kicker and FAST channels (Pluto, Samsung), and runs measurement partnerships with AudienceProject, Nielsen and Data Clean Room provider Decentriq. DAZN uses identity integrations such as LiveRamp's Ramp-ID and The Trade Desk IDs and is in advanced talks to add Utiq, while emphasizing contextual targeting and frequency capping via logins. A cited Lieferando activation showed strong brand-lift and voucher redemption results.

Window for Open-Web ID Push Is Shrinking

Commentary by Klaus Janke (Horizont) warns that the time to deploy deterministic identity solutions in the open web is running out. The article argues that practical adoption of deterministic identifiers such as NetID and Utiq is necessary for the open web to preserve reach and to sustain quality journalism as a pillar of democratic public life. The piece frames the issue as urgent: without widespread implementation of shared identifiers, publishers and the open web risk declining monetization and audience measurement capabilities.

Companies Underestimate First‑Party Data Value — Peter Lorenz

In an interview, Peter Lorenz (Director Business Development and Product Marketing at emetriq / T Advertising Solutions) argues that companies often undervalue their first‑party data and should prioritise data quality, consent and matchability over raw volume. He explains emetriq’s consent‑based approach: hashed login and web movement data from premium partners are matched via a Trusted Third Party to create seed audiences that can be scaled into lookalikes and activated on DSPs or matched to services like Utiq and SSP Equativ. Lorenz sees AI and large language models as both an opportunity for new audience modelling and a privacy/data‑sovereignty risk. He recommends advertisers: (1) inventory and understand existing data, (2) run small tests (e.g., reactivation campaigns), and (3) measure outcomes to prove value. He also defends the open web as a competitive advertising channel when combined with proper identity and data activation solutions.