Beyond Clicks: The Shift Towards Outcome-Based Advertising

As healthcare digital advertising nears the $30 billion threshold, Ben Miles and Jason Powers explore how privacy-safe attribution is transforming local trust from an awareness metric into a measurable business outcome.

Zeotap’s Emma Currie and Shravan Maheshwaran explain why enterprise customer data challenges are rarely about volume and often about usability, identity resolution and the ability to activate data at speed.

While translation enables global reach, brands are finding that true marketing impact depends on localisation, cultural relevance, and scalable content operations that preserve brand consistency across markets.

Personalisation used to be a campaign humans planned and a system delivered. Now it is a continuous decision an agent makes — every millisecond, across every channel, against the full depth of the profile, not the five attributes that fit in an email tool, says Rafael Flores, Chief Product Officer at Treasure AI.

New data shows 70% of influencer campaigns remain focused on awareness, as TikTok closes in on Instagram and XiaoHongShu strengthens its role in consumer discovery.

Users now see the platform not just as a marketplace, but as a trusted layer that actively protects and guides their experience. Tools such as QR screening and contextual chat guidance reflect this shift toward a “guardian-led” marketplace model, says Muneeb Farrukh, Director of Product at Bayut.com & dubizzle.

AI-driven marketing demands better data than fragmented stacks can deliver. Max Groth of Decentriq explains how data clean rooms close the gap—with outcome evidence from two published campaigns.

The real signal isn't a blown SLA or a clunky handoff. It's what happens the moment a deal falls through. Marketing blames the nurture. Sales blames the lead quality. Both wave their data. Neither changes a thing, says Kevin Virsolvy, Senior Director, EMEA Marketing at Braze.

Leaders from retail, commerce, advertising, and adtech explored how retail media networks (RMNs) are evolving beyond ad inventory into data-driven growth engines that deliver measurable business outcomes across channels.

The report shows sales and distribution teams are under pressure to drive revenue growth, while disconnected systems and AI uncertainty make execution harder.