The MQL is dying—not because it was a bad idea, but because the buying journey it was designed to measure no longer exists. Forward-thinking revenue teams are abandoning lead scoring entirely for fundamentally different approaches to qualification.
Rules-based marketing automation is breaking under the weight of modern complexity. AI decisioning engines that adapt in real-time are replacing static workflows—and fundamentally changing what personalization at scale means.
AI agents aren’t just automating tasks—they’re fundamentally restructuring how marketing operations work. Organizations that understand this shift will build capabilities competitors can’t match.
Traditional intent data told you who was researching topics. AI-powered buyer intelligence tells you who is ready to buy, why, and what message will resonate. The difference is transforming B2B demand generation.
Most brands have multichannel presence but fragmented customer experiences. True cross-channel orchestration requires new thinking about technology, data, and organizational structure.
AI is transforming marketing operations from system management to strategic enablement. Here’s how MOps professionals can evolve with this shift.
Marketing teams are drowning in tools. Here’s why consolidation makes sense and how to approach it strategically.
Annual planning season is upon us. Here’s a framework for creating marketing plans that survive contact with reality—and actually guide decision-making throughout the year.
The MQL-focused model is breaking down. Here’s how forward-thinking marketing teams are restructuring around revenue outcomes.
Marketing operations has evolved from a tactical support role into a strategic function that drives competitive advantage. Here’s what that transformation looks like.