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Ever find yourself staring at a mountain of marketing data and still wondering, "Where did this deal actually come from?" You're not alone. Dennis Bierman, CMO at Agility Recovery, brings a refreshingly honest perspective to one of marketing's biggest headaches: attribution.
Dennis pulls back the curtain on what many CMOs think but few admit – that despite our sophisticated tools and tracking systems, figuring out which marketing efforts truly drive results often feels more like educated guesswork than precise science. "We have all this data, tons of records and events, and yet we still had to have a discussion about where we thought this deal came from," he shares, capturing the frustration many marketers experience.
What makes this conversation particularly valuable is Dennis's contrarian approach to solving the problem. Rather than getting lost in the complexity of multi-touch attribution models, he advocates for simplicity, suggesting that the last activity before conversion often tells you what actually worked. "It's really that simple," he explains. This perspective challenges the industry's obsession with tracking every touchpoint throughout lengthy B2B buyer journeys, much of which Dennis suspects might be noise rather than signal.
Beyond attribution, we explore Dennis's innovative approach to AI in marketing. Instead of just using AI for content creation, his team at Agility Recovery is building interconnected GPT agents that identify potential leads based on real-world disasters and outages. One agent tracks weather events, another matches these events with businesses in affected areas, while a third crafts personalized outreach. It's a fascinating glimpse into how AI can transform lead generation by connecting real-time data with targeted marketing.
Ready to rethink your attribution strategy and explore AI beyond content creation? Listen now and discover why sometimes the simplest approach to measurement might be the most effective.

🎧 Tech Marketing Rewired is hosted by Kevin Kerner, founder of Mighty & True.

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