Observed Signal · Aug 4, 2026 · Interview · Source: Meedia · Impact: 3/5 · Sentiment: Positive

Identity Market: Companies Underestimate First‑Party Data Value — Peter Lorenz

Zusammenfassung des Signals

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.

Polaris7 AgentStrategische Einordnung
Hohe Konfidenz

Practical, industry‑relevant guidance on first‑party data activation, consented identity matching and open‑web competitiveness that informs advertisers and data providers, but it is an interview/opinion piece rather than a platform policy or technical release.

Wichtigste Kernpunkte & Evidenz

  • Peter Lorenz has worked at Emetriq (the umbrella brand of T Advertising Solutions) since late 2012 and is Director Business Development and Product Marketing.
  • Emetriq uses consent‑based login and web movement data from premium partners; data are hashed and processed via a Trusted Third Party so emetriq never sees cleartext email addresses.
  • After matching, emetriq builds a seed audience, scales via lookalike models, and activates segments on DSPs; segments can also be matched on Utiq and offered as curated deals on SSP Equativ.
  • Lorenz emphasises that first‑party data activation requires user consent and that data quality and match rate are more important than sheer volume.
  • He sees AI/large language models as creating new data opportunities and risks, and argues the open web can remain competitive versus big tech walled gardens when first‑party activation is implemented well.
Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: MeediaPublished: Aug 4, 2026
Original Coverage Title: Datenmarketing - Peter Lorenz: „Viele Unternehmen unterschätzen, welchen Wert ihre First-Party-Daten besitzen“

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