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The best AI workflows create more time for the work only people can do. That was driven home to me when I spoke with Cathy McPhillips, chief marketing officer at SmarterX at MAICON, the AI marketing conference. While we were talking, she had an AI agent running in the background. McPhillips also leads marketing across […]

Synthetic audiences promise marketers faster customer research by simulating buyer responses using AI. But many models share the same blind spot: they rely on demographic, firmographic, and behavioral data that describe buyers, but not how they make decisions. I kept running into that gap while working on my book, “The Hidden Buyer Journey.” I studied

AI is speeding up marketing production. Measurement hasn’t kept pace. Marketers are 68% more likely to measure email and landing page performance by click-through rate than by revenue or pipeline influenced, according to a new report from marketing production platform Knak. The finding exposes a gap between adopting AI and measuring its business impact. Source:

AI is writing your copy, building your landing pages, and increasingly generating the code behind your digital experience. Which raises a question worth sitting with: if AI is building more of what your customers touch, who is making sure it works for everyone? For many brands, that question doesn’t have a clear answer yet. And

From what I’m seeing, few marketers have made the shift to directing AI agents instead of doing the work themselves. The more common approach is to use AI to help with individual tasks rather than to direct it across their work. That leaves an opportunity to build a different skill set early. AI agents can

Customers are increasingly evaluating products in AI conversations without visiting a company’s website. As a result, analytics platforms lag behind the way people discover brands today. Addressing this requires moving beyond legacy traffic-centric reporting and building a measurement framework that reflects today’s buyer behavior. What to track instead of raw traffic To measure how AI

AI agents have spent the past year proving they can help plan, buy, and optimize advertising. The next challenge is getting them to work reliably inside the systems advertisers already use. That’s the goal of AAMP 2.1, released today from IAB Tech Lab, which adds enterprise deployment options, privacy controls, platform integrations, and standardized workflows

Keeping your brand’s evolution within your control is easier than you think, but most marketing and creative departments let busyness get in the way of documenting it. Every customer touchpoint and every asset present an opportunity to make small changes that compound over time. If you manage those changes intentionally, you keep the brand narrative

If you’re a large corporation, AI is the wind at your back and the tide going your way. Your positioning, competitive differentiation, and reputation are tied down. It looks like smooth sailing ahead. If you’re an SMB or you serve that marketplace, AI can feel like a maelstrom of Shakespearean proportions, shivering your positioning and

Google is testing a new Chrome feature that could remove one of the biggest sources of friction in customer acquisition: email verification. It’s also another step toward making the browser itself a trusted source of identity. The experimental Email Verification Protocol (EVP) lets Chrome verify that someone controls an email address without sending a one-time