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Marketing exists to create movement — from disinterest to curiosity, from curiosity to confidence, and from confidence to action, then hopefully, evangelism. Leverage is the ability to create that movement. I first started thinking about leverage through a graduate school negotiation case study taught by Prof. Ned Wellman. In the case study, a man named […]

Many marketers missed the initial opportunity to reimagine their organizational models before implementing AI technology. Now, they find themselves at the evolving intersection of AI, data, and modern marketing strategy.  In this episode of Conversations with MarTech, Ryan Warren, chief CRM officer at Razorfish, discusses why many organizations struggle to realize the full potential of

The 2025 MarTech Replacement Survey revealed a seeming contradiction: organizations are replacing fewer core platforms than at any point in the last three years, yet their stacks keep growing. In the 2025 survey, 59.9% of respondents said they’d replaced a marketing technology application in the previous year. That’s down from 69.8% at the 2022 peak

One of the biggest traps in marketing research and technology today is mistaking speed for impact. We’re focusing on doing more, being more efficient, and creating the next AI business. But we’re forgetting some of the fundamentals. The Red Queen hypothesis is an excellent metaphor for what’s happening in our industry right now. It suggests

Every sales and marketing leader should be asking: What kind of selling relationship do we have — and does it prioritize humans or machines? This question goes beyond which CRM you use, which cadence tool you’ve deployed, or which AI platform you’re evaluating. It’s about how your organization connects with buyers. The answer determines whether

Intuit’s announcement this week that it will cut approximately 3,000 jobs — 17% of its global workforce — landed hard across the tech industry. But for the 11 million businesses that use Mailchimp for email marketing, the real question is simpler: Should I stay or should I go? The answer, based on Mailchimp’s product releases,

Creative may win the awards, media gets the moolah, but metadata is what helps AI marketing actually work. Metadata is already important today as the currency for organic search. When I say metadata, I mean everything from schema markup and product-feed attributes to image descriptors, DAM tags, provenance signals, and the taxonomies that hold it

Consumers are giving mixed signals about AI content in marketing. People like ads and content that feel useful and relevant, but many are still turned off by marketing that comes across as robotic, emotionally empty, or a little too invasive. Seventy percent of consumers said they can usually spot an AI-generated ad because it feels

In agentic commerce, brand shifts from a perception advantage to a verifiable advantage. Customers may still choose brands based on emotion or identity, but their AI agents will evaluate those brands using measurable signals such as price transparency, fulfillment reliability, reviews, loyalty value, privacy practices, and service history. This changes how loyalty is evaluated, and

Ask any paid media manager how their Monday morning starts, and you’ll hear some version of the same story. Google Ads. Meta. LinkedIn. TikTok. Reddit. Pull the numbers, drop them into a spreadsheet, make them tell a coherent story, and send the report to your client or boss by 10 a.m. Somewhere in there, figure