Sales and marketing alignment has been B2B's favorite unsolved problem for twenty years. Now AI just raised the stakes: SDRs run AI-powered outbound, marketing generates pipeline with agents, and nobody's sure who owns what anymore. We discuss what SLAs look like in 2027, why the MQL is finally dying as the currency between teams, and how the best revenue organizations are redesigning the handoff when software, not people, does most of the passing. If your pipeline meetings still turn into finger-pointing sessions, start here.

Sales and marketing alignment has been B2B's favorite unsolved problem for twenty years. Now AI just raised the stakes: SDRs run AI-powered outbound, marketing generates pipeline with agents, and nobody's sure who owns what anymore. We discuss what SLAs look like in 2027, why the MQL is finally dying as the currency between teams, and how the best revenue organizations are redesigning the handoff when software, not people, does most of the passing. If your pipeline meetings still turn into finger-pointing sessions, start here.

 Dive into demand generation by leveraging multi-channel strategies. In this episode, we’ll explore how LinkedIn sequential targeting, sponsored thought leader ads, and conversational ads can supercharge your campaigns. Learn how email personalization can complement these tactics for deeper audience engagement. We’ll also discuss testing on platforms like Reddit and maximizing performance through AI-driven personalization and predictive analytics. Uncover how to create cohesive, impactful campaigns that work seamlessly across LinkedIn, Clay, Reddit, and beyond.

When every competitor can generate content, campaigns, and outbound at infinite scale, execution stops being a differentiator. This episode makes the case that brand and trust are the last defensible moat in B2B, and stress-tests that thesis with people who have to defend it in the boardroom. How do you make the business case for brand to a CFO who only looks at pipeline? Which brand metrics actually predict revenue? And is "brand" the answer, or just the thing marketers say when they run out of channels?

This is not another "AI will change marketing" episode. This is a practical walkthrough of what AI-native marketing operations actually look like: account research, campaign QA, reporting, competitive analysis, and data enrichment, all running through agents while you focus on strategy. We cover which workflows to automate first, where human judgment remains non-negotiable, and what the marketing stack of an AI-native team looks like in 2027. You'll leave with at least three automations you can build this week.

Our most popular topic returns, because the game just changed. When ChatGPT and AI Overviews answer buyers' questions before they ever reach Google, what's left of classic demand capture? In this episode, we rethink the creation-versus-capture balance for a world where the buyer journey starts inside an AI answer. How to rebalance budget between the two motions, why AEO is becoming the new SEO, and what "capturing demand" even means when there's no search results page to rank on.

When every competitor can generate content, campaigns, and outbound at infinite scale, execution stops being a differentiator. This episode makes the case that brand and trust are the last defensible moat in B2B, and stress-tests that thesis with people who have to defend it in the boardroom. How do you make the business case for brand to a CFO who only looks at pipeline? Which brand metrics actually predict revenue? And is "brand" the answer, or just the thing marketers say when they run out of channels?

A commercially sharp episode about wasted spend in B2B paid social: poor-fit accounts, irrelevant impressions, vanity clicks, broad targeting, and optimisation against the wrong signals. This should feel diagnostic and practical, with a clear link to improving pipeline quality rather than just reducing media waste.

When every competitor can generate content, campaigns, and outbound at infinite scale, execution stops being a differentiator. This episode makes the case that brand and trust are the last defensible moat in B2B, and stress-tests that thesis with people who have to defend it in the boardroom. How do you make the business case for brand to a CFO who only looks at pipeline? Which brand metrics actually predict revenue? And is "brand" the answer, or just the thing marketers say when they run out of channels?

Sales and marketing alignment has been B2B's favorite unsolved problem for twenty years. Now AI just raised the stakes: SDRs run AI-powered outbound, marketing generates pipeline with agents, and nobody's sure who owns what anymore. We discuss what SLAs look like in 2027, why the MQL is finally dying as the currency between teams, and how the best revenue organizations are redesigning the handoff when software, not people, does most of the passing. If your pipeline meetings still turn into finger-pointing sessions, start here.

By the time a buyer fills out your form, the decision is 70% made, shaped in Slack communities, peer recommendations, review sites, and now conversations with AI assistants you'll never see in your analytics. This episode is about marketing to the dark funnel: how to influence buyers you can't track, why "brand-to-demand" is more than a buzzword, and which signals you actually can measure without driving yourself crazy over attribution. A realistic playbook for winning deals that never touched your nurture sequence.