Stacking Growth | The B2B Marketing Podcast

Refine Labs

Hosted by Refine Labs, this podcasts is for marketers, by marketers. Whether you're new or seasoned , we want to help you refine your strategies, find meaningful takeaways, and hear real, honest stories of marketers who've been able to make waves for the industry. Combining purposeful tactics and strategies across multiple areas is what it means to Stack Growth - let's help build each other up.

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    AI Ads Are More Expensive, Not Better

    Everyone's plugging Meta, Google, and LinkedIn straight into AI via MCP and asking it where to spend their next ad dollar. Matt Chanella breaks down why that's exactly backwards — and why AI is going to make your ads more expensive, not more effective. In this episode of B2B Reality Check, Matt unpacks the two traps every B2B ad team falls into when they outsource strategy to AI: → AI generates infinite creative variations — far more than you could ever run to statistical significance→ AI ad reporting always defaults to raw conversion volume, with zero context on campaign goals, funnel stage, or lead quality Matt walks through why offline conversion tracking is the bare minimum, how to structure your AI context (project files, skills, clean conversion hierarchy) before you ever ask it to analyze spend, and why AI should be a thinking partner — not the decision-maker — for your ad strategy. In this episode: Why lower barriers to entry for AI-generated ads don't mean better ad performanceThe statistical significance problem with AI-generated creative testingWhy AI ad reporting can't distinguish high-intent conversions from low-intent ones (scroll depth, newsletter signups vs. booked meetings)How to give AI the right context before letting it touch your ad reportingWhy not every campaign (YouTube pre-roll, CTV, LinkedIn thought leadership) is designed for direct responseFAQ Q: Can AI accurately tell me where to spend my next ad dollar?A: No — AI tools connected to your ad platforms track conversion volume and signal, but they can't tell you conversion quality: how many conversions become booked meetings, opportunities, or closed deals. Q: Why shouldn't I let AI generate all my ad creative variations?A: AI can produce far more creative iterations than you could ever run to statistical significance. Without a proper testing ramp and enough audience/budget to reach significance, you can't actually determine a winning message. Q: What's the minimum conversion tracking needed before using AI for ad strategy?A: Offline conversion tracking is the minimally viable setup — and even then, it should only be used for reporting, not for AI to dictate strategy. Q: Why does AI ad reporting always favor lead-gen campaigns?A: AI has no context on campaign objectives, measurement methodology (multi-touch, influenced, incrementality), or whether a campaign was designed for direct response versus brand consideration (the 95-5 principle). It defaults to whichever campaign produced the most raw conversions. Q: How do I set AI up correctly before using it for ad reporting?A: Build a project or skill collection with full context on your ad goals, objectives, segmentation, targeting, and measurement approach — before you ever ask it to analyze performance. 🔔 Follow Matt Chanella and Refine Labs for more B2B Reality Check breakdowns.📩 Sign up for the Refine Labs newsletter and register for our B2B roundtable events.👉 Follow our CEO Megan Bowen for more GTM insight. #B2BMarketing #AIAdvertising #DemandGeneration #MarketingStrategy #B2BRealityCheck #GTMStrategy #AdOptimization #PerformanceMarketing #MarketingAnalytics #B2BSaaS #RefineLabs #LinkedInAds #ConversionTracking #MarTech

    AI Ads Are More Expensive, Not Better
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    Does AI Actually Break B2B Positioning?

    Does AI really break B2B positioning, or is it exposing deeper product problems? In this roundtable, Refine Labs' VP of Innovation Matt Sciannella sits down with Fletch PMM founders Anthony Pierri and Rob Kaminski to unpack what's actually happening when companies try to position themselves for the AI era.They cover why AI mandates from VCs create confusion (not clarity), how Intercom, Palantir, Salesforce, and Owner.com handle multi-product positioning, and why delegating positioning to LLMs is a race to mediocrity.What is product positioning in B2B SaaS?Product positioning defines who your product is for, what problem it solves, and why it's different from alternatives. It's the upstream decision that drives homepage messaging, paid media, and GTM clarity.How does AI affect B2B positioning strategy?AI doesn't break positioning fundamentals — it adds market uncertainty and product pressure. Companies still must answer: what problem do you solve, for whom, and better than what?Can AI write your positioning for you?No. LLMs can accelerate research and fill in details, but they can't generate non-obvious strategy from scratch. They're best used when humans provide 80% of the thinking first.Why do multi-product companies struggle with positioning?Most markets are fragmented. Customers think narrowly — they're not shopping for "everything." Leading with one clear use case (like Apple with iPhone, Owner.com with restaurant grading) outperforms breadth.What is a go-to-market positioning framework?A GTM positioning framework defines your category, ideal customer profile (ICP), competitive alternatives, differentiated value, and homepage message — in that order, before messaging or campaigns.#b2bmarketing #ProductPositioning #GTMStrategy #B2BSaaS #DemandGeneration #ProductMarketing #AIMarketing #ContentMarketing #SaaSMarketing #RefineLabsRoundtable #FletchPMM #MarketingStrategy #ICPMessaging #HomepageCopywriting #GoToMarket

À propos

Hosted by Refine Labs, this podcasts is for marketers, by marketers. Whether you're new or seasoned , we want to help you refine your strategies, find meaningful takeaways, and hear real, honest stories of marketers who've been able to make waves for the industry. Combining purposeful tactics and strategies across multiple areas is what it means to Stack Growth - let's help build each other up.