Love At First Try
If you're a SaaS founder who keeps rewriting your homepage and it still doesn't feel right, this episode is for you. Anthony Pierri is the co-founder of Fletch PMM. He and his team have run their 2-week positioning sprint around 500 times for B2B software companies, which probably makes them the most experienced positioning consultancy out there. He's also one of the clearest, least jargon-filled voices on LinkedIn when it comes to marketing. We spent an hour going deep on what positioning actually is (and isn't), why so many founders are stuck running five go-to-market motions at once without realizing it, and what happens when you make a real repositioning bet — with stories from Klaviyo, Anthropic, a trucking analytics company, and even Taylor Swift. We also got into AI — specifically, what Anthony discovered when he stopped using chatbots and went deep into Claude Code. His take is the most grounded I've heard in months. No fluff. No frameworks for the sake of frameworks. Just one of the sharpest operators in B2B marketing talking shop. 💡 Steal these quick wins from Anthony 1. Test your positioning by putting it on the homepage Not a Google Drive deck. Not a Notion page. The homepage. It's the one asset everyone in the company has to live with publicly, which is exactly why agreement on it sticks. If your team can't agree on what should go on the homepage, you don't have a positioning problem — you have an unresolved strategic decision. 2. Stop defining your target market by firmographics Company size, headcount, geo — none of these signals tell you whether a company actually needs your product. If you're trying to win five use cases inside one customer segment, you're running five different go-to-market motions in parallel. Pick the one that ladders into the biggest opportunity and lead with it. 3. Don't validate a reposition by asking your best customers They came to you for the old story. They'll tell you not to change. Customer research is one input — not the only one. The bet sometimes requires alienating who you have to win who you want. 4. Stop treating chatbot output as real work Anthony's experiment: dropping 20 sales call transcripts into a chatbot got him a summary in 10 seconds. Looked great. Then he wrote a detailed instruction file for the AI on exactly how to summarize one call — took 2 hours to build, 5 minutes to run on a single call. The realization: the fast chatbot version was producing something that looked plausible without doing the work. If you're using AI for anything where accuracy matters, the painstaking version is the real version. 5. Build for where the AI is going to actually be useful: smarter automation Don't build your strategy around AI replacing your team. Build it around AI replacing the slow, manual workflows that already exist (the stuff you'd otherwise build in Zapier or hire a junior to do). That's where the real productivity lives today.
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