Jeff returns from Fanatics Fest in New York with lessons B2B marketers can steal from the world's largest sports merchandise retailer. Fans paid to enter, paid again to engage, and left more loyal than ever. Jeff and Debbie break down what made it work: immersive fan-first experiences, multi-floor booth design that rethinks the same footprint, client Joe Hollywood's 15-hour live broadcast and instinctive read of his audience, and an omni-channel flywheel where content was created, broadcast, and consumed in real time. The Monday morning challenge for every CMO: stop thinking customers, start building raving fans.

Everyone deployed AI at the same time — and nobody told each other. Marketing is using agents to produce content at scale. Sales is using agents to automate BDRs and outreach. And buyers built their own agents to research, shortlist, and rank vendors before a single form gets filled out or a rep gets a call. Three parallel tracks. Zero shared intelligence.

Jeff and Deb use a single metaphor to frame the whole problem: a marketer, a salesperson, and a buyer walk into a bar — and nobody's talking to each other. The punchline is that this isn't a joke. It's the state of most B2B revenue organizations right now. Marketing's AI is writing for humans. Sales's AI is reaching humans who've already decided. And the buyer's AI did the evaluation before any of it mattered.

The episode's sharpest argument: most companies are using AI to automate the old playbook faster, not to reimagine the relationship. Jeff's thumbtack map analogy makes it concrete — wherever your buyer's AI and your team's AI aren't overlapping, that's the gap in your revenue motion. The closer is a direct challenge: stop asking what AI can do for your team, and start asking what your buyer's AI found when it looked you up.

Google's new agentic search conversations are quietly eliminating the lead form as the default entry point in B2B buying. Jeff and Debbie unpack why AEO and large language models already made gated content a liability, why the MQL may be the next metric to go, and why marketing and sales have to redesign how they earn credit for pipeline when buyers never visit a website or fill out a form. They also dig into what happens to entry level roles like BDRs as AI absorbs the qualification layer, and why the companies with the least legacy process stand to gain the most.

Most marketing teams are using AI to do the same work faster and cheaper. Jeff Pedowitz and Dr. Debbie Qaqish make the case that this is a trap. The future does not belong to the marketing organization that can use AI. It belongs to the one that uses AI to drive credible revenue.

In this episode, Jeff and Debbie move past prompting and basic content generation and lay out roughly ten concrete ways marketers can point AI directly at the revenue equation. They cover using AI to broker real alignment between sales and marketing, mining sales call transcripts to capture the true voice of the customer, pulling scattered reports into a single dashboard a CMO can actually talk to, building account-level and predictive scoring models that have not been touched in twenty years, and the emerging role of the marketer as an AI workflow architect. They close with agentic commerce and the comeback of in-person events, including a few ideas for AI at the booth that are equal parts useful and fun.

If your team is still treating AI as a productivity tool, this one is your push to open the throttle. Remember: today is the worst AI will ever be.

Your Brand Is No Longer What You Say It Is Revenue Marketing Raw with Jeff Pedowitz and Dr. Debbie Qaqish

Marketing has come full circle. After fifteen or twenty years of being pulled into demand generation and told to drive revenue above all else, brand is back at the center of the conversation. The problem is that AI showed up at the same time, and it is throwing a wrench into everything marketers thought they knew about controlling their own story.

In this episode, Jeff and Debbie unpack what actually changed. Buyers now meet your company through AI before they ever touch your owned channels, and no matter how hard you worked on your brand, the model compresses it into a couple of sentences you never got to approve. AI gets your story out faster, which means you had better have the right story. When marketing, sales, and customer success are all repeating a brand promise that isn't true, AI doesn't fix the gap. It scales it.

That leads to the uncomfortable core of the conversation: speed has been commoditized. If you can go faster, your competitors can too, and fast stops being a differentiator. The teams that win are not the ones publishing the most content. They are the ones applying human judgment, strategic thinking, and a real understanding of the customer behind every piece.

Jeff and Debbie get specific about what AI can and cannot replicate. AI can fake your tone, your structure, your voice, even your people. What it cannot fake is lived experience: the specific names, dates, places, and points of view that only come from actually knowing your customers. They land on congruence as the real test of authenticity. Do you do what you say you will do, and does the customer's lived experience match the brand promise every single time?

The discussion moves from diagnosis to action. The most practical move a marketer can make right now is to stop using AI only to go better, faster, and cheaper, and start using it to truly understand the customer. That is where the insight lives, and it is the surest way to keep a brand authentic as the market shifts.

Along the way, Jeff and Debbie share the brands that get it right, from Axon's experiential brand promise to a personal American Express story that explains why Jeff will defend the brand to this day. The takeaway is simple and hard to live up to: good brand is true brand.

A candid, unscripted conversation for marketing and revenue leaders navigating brand and authenticity in an AI-mediated market.

Marketing organizations have never held a fixed shape. They bend, split, and reform around whatever the business demands. AI agents are not changing that pattern. They are accelerating it.

In this episode, Jeff Pedowitz and Dr. Debbie Qaqish examine what happens when the org chart stops listing people and starts listing agents. The execution layer is moving to machines. The question is whether the humans left standing are ready for what that actually requires of them.

The conversation covers the new management capabilities this transition demands, why judgment and context matter more than ever when agents operate at scale, the governance gaps most organizations are ignoring, and the uncomfortable ROI math behind rising AI spend. It also confronts a harder truth: that no amount of technology closes a people development gap, and that gap has been widening for years.

Marketing has never had a more powerful tool. And it has rarely done less with one.

Jeff Pedowitz and Dr. Debbie Qaqish dig into the number that should be making every CMO uncomfortable: 96% of marketers are now using AI, but only 19% of executives report meaningful revenue gains from it. The gap is not a technology problem. It is not an adoption problem. It is a thinking problem.

In this episode, Jeff and Debbie break down why the first wave of AI in marketing went almost entirely toward content volume and cost efficiency, why that was predictable given the market conditions of the last two years, and why it left the revenue impact almost entirely on the table.

They get into what the 19% are actually doing differently: asking better questions of their data, connecting their LLMs to their CRM, running real-time ICP audits against closed deals, and using AI to surface intelligence they never had access to before. Not faster content. Smarter decisions.

The conversation covers how to connect an LLM to your marketing automation and CRM in minutes, what questions revenue marketers should be asking that almost nobody is asking yet, why AI has actually made sales and marketing alignment worse in its first stage, and what a new leadership model for CMOs looks like in the age of AI.

As Debbie puts it: the gap between marketing accountability and revenue impact has barely moved since 2004. AI is either the tool that finally closes it, or the latest thing marketers use to produce more of what was already not working.

The choice is in the questions you decide to ask.

Women have always driven the precision behind revenue marketing. Now AI is automating the exact work that proved their value, while simultaneously penalizing them more harshly for using it. This episode of Revenue Marketing Raw cuts through the noise on women in tech: what the data actually shows, why skepticism is a professional asset not a liability, and the 5 moves every woman in B2B marketing should make right now before the AI investment decisions get made without them.