For marketers, the possibility of viral success is almost intoxicating. Over the course of mere minutes, it seems like your brand could achieve near-universal reach and encode in people’s memories in ...

Despite the surging popularity of the term, "real-time marketing" isn't anything new. Street teams do real-time marketing as they adapt their approach to what's happening in front of them. Public ...

Every brand wants to show up in the moment, whether it's the Super Bowl, the World Cup or a story that takes over LinkedIn by lunchtime. We live in a world where culture moves fast, distribution is ...

To learn more about our editorial approach, explore The Direct Message methodology. Back in 2014, marketers couldn’t agree on what real-time marketing actually meant. Was it personalizing website ...

LoopMe, the global leader in brand performance, today (April 29th, 2025) announced it has partnered with Microsoft Advertising to integrate its first-to-market real-time brand optimisation ...

Real-time marketing did not attract much attention until Oreo’s blackout tweet stood out from all the million-dollar commercials that ran during the Super Bowl broadcast in February. As the seven-word ...

My role at Waze has seen me speak to hundreds of brands and agencies about how to reach drivers when they’re on the move. Increasingly, questions have centred around data and how targeted advertisers ...

In marketing, the convergence of data science and artificial intelligence is not just a trend; it's a revolution. This powerful synergy transforms how businesses predict market trends, understand ...

Have you ever wondered how some companies are able to consistently send millions of highly targeted, personalised emails in realtime? The very nature of email makes sending realtime, personalised ...

In today’s ongoing battle for consumer attention and the proliferation of ‘always on’ social media channels, real-time marketing (RTM) has emerged as a winning strategy for many brands. At a core ...

Enterprises have spent years and considerable fortunes building data lakehouses, training models, and unifying customer records inside platforms like Databricks. The harder problem, it turns out, is ...