Marketing automation platforms aren’t just running campaigns anymore — they’re learning, adapting and deciding what happens next in real time. Marketing automation used to mean one thing: set up some ...
Using AI in marketing requires separating learning from delivery. A lab-factory model offers a repeatable path from experimentation to scale. Marketing plans are often evaluated in leadership reviews ...
The 2026 marketing landscape isn’t just shifting; it’s evolving into a more sophisticated, cross-channel conversation. While the “email is dead” crowd continues to be proven wrong, the way consumers ...
True personalization starts with context, not attributes. See how scenario-based design bridges behavioral segments and real-world customer needs. Personalization is often treated like a data problem.
AI forms brand perception upstream, long before buyers see your positioning. Consistent delivery across every touchpoint is now the differentiator. B2B marketing has always loved certainty. Clear ...
Unifying your revenue tech stack doesn't mean compromising on specialization — here's how to connect the dots without breaking what works. In MarTech’s “MarTechBot explains it all” feature, we pose a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results