Marketing Science & Agentic Workflows

Most marketing strategies begin with a predefined audience. Organizations identify who they believe their customers are, develop personas, and build campaigns around those assumptions. This approach is practical and often effective. But it also creates a blind spot. What if the audience that drives your next stage of growth is not one you have considered before? Markets are constantly evolving. New communities emerge, interests shift, and customer behaviors change. Opportunit

One of the biggest challenges in marketing is that campaigns are often managed as collections of activities rather than structured systems. Content is created. Ads are launched. Emails are sent. Results are measured. But the relationships between objectives, tactics, and outcomes are often difficult to trace. The DISARM framework offers an interesting alternative. Originally developed as a structured methodology for analyzing influence operations, DISARM provides a way to map

Marketing science has spent decades studying how brands grow, how audiences respond to messages, and which strategies consistently produce results. At the same time, marketing automation platforms have made it easier than ever to publish content, manage campaigns, and coordinate activities across channels. Yet something important sits between these two worlds. Marketing science tells us what tends to work. Marketing automation helps us execute tasks. What neither provides is

Every campaign generates information. Audiences respond. Channels perform differently. Messages resonate—or fail to resonate. New patterns emerge with every interaction. The question is whether organizations are actually learning from these signals. Most campaigns today are treated as isolated projects. Teams review results, discuss lessons learned, and move on to the next initiative. Valuable insights often remain fragmented across reports, dashboards, and individual experie

Marketing has never been better measured. Today's marketers can track views, impressions, clicks, shares, comments, conversions, and dozens of other performance indicators across multiple channels. Even the smallest organizations have access to analytics that would have been unimaginable a decade ago. Yet despite all this data, a fundamental challenge remains. Most metrics tell us what happened. Few help us understand why it happened. A campaign may generate thousands of view