As MarTech ecosystems mature, businesses are replacing partner quantity with quality. Here's why high-fit partner ecosystems are becoming the foundation of sustainable revenue growth and ecosystem-led marketing.
From influencer clouds to data clean rooms and sports media, a new wave of EU‑anchored acquisitions is quietly building the operating system for post‑cookie, AI‑powered marketing.
The best mechanics balance three things: clarity, momentum, and inclusivity. If customers can instantly see 'what’s next' and feel progress every time they interact, you’re much more likely to build real, sustained loyalty, says Kanchan Lad, Head of Product – MarTech, Papa Johns.
As AI reshapes customer engagement and fraud grows more sophisticated, businesses need more than identity resolution. Identity confidence is emerging as the foundation for trusted personalisation, security, and long-term customer relationships.
WhatsApp usernames may improve privacy for users, but for marketers, they also mark the start of a handle-first, consent-led and platform-controlled messaging era.
The study reveals how brands are mentioned, cited, and represented across AI-powered discovery environments, and why marketers need integrated SEO, content, and brand strategies to compete.
The most successful brands use logic to enable magic: they use data, technology, and AI to understand context, anticipate needs, remove friction, and make better decisions. The goal is to create customer experiences that feel effortless, personal, and relevant, says Ilaria Buonpane, CMO at Wear That, Chalhoub Group.
As AI fatigue grows, marketers need less tool accumulation and more role clarity. The smartest AI stack is the one where every tool has a clear job across planning, performance analysis, and campaign execution.
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.
