ProofAnalytics.ai

Aaron H. is a guy you need to be following. He’s a careful, sober-minded professional marketer who really wants to know, to understand, and to move into the future with great purpose and energy. Aaron and I spent time talking about #CausalAI in the GTM use case, and why it’s the only approach to understanding what some call “attribution.” That sort of binary answer sometimes isn’t popular, and some like to argue about it, but like the Law of Gravity it never loses. I hope you enjoy Aaron’s podcast as much as I did…and do!

AI-Generated Strategy, Built for Your Reality Most “strategies” today aren't strategies at all. They're just frameworks—general, static, high-level, and disconnected from the real-world challenges a company faces. For example, _____________-led GTM is not a strategy. It's an operational outline of something that might be worth something if you de-risk it first. At ProofAnalytics.ai, we take a completely different approach based on the most robust Generative, Analytical and Causal AI-powered capabilities. Here's one of quite a few examples: We use AI to generate custom, success-probable business strategies—not templates or frameworks, but highly tailored, execution-ready plans that factor in many things that people often don't. Here’s how it works: 1?? You complete a short but very specific questionnaire about your company’s goals, market headwinds & tailwinds, historical performance, and key objectives. 2?? Our AI engine—leveraging a range of OpenAI perspectives—analyzes your specific inputs to generate a business strategy with a high probability of success over a defined time period. 3?? Then we go far beyond strategy, delivering a tightly integrated operational layer that telescopes from high-level insights down to real execution. The deliverable you receive includes a very robust, structured KPI punch list covering controlled factors (internal execution, GTM effectiveness, customer retention, etc.) and uncontrolled but highly relevant factors (market trends, competitive shifts, economic cycles, etc.). This is incredibly valuable for: ?? Pre-revenue startups—looking to build depth into investor decks and de-risk their go-to-market plans. ?? Mid-sized and large enterprises that need to explore and de-risk different strategic and operational paths forward with full visibility into execution and metrics. And this is just the beginning. This structured process enables you to go to the next step: counterfactual “what if” exploration at scale. This gives companies and teams a clear, data-informed way to test potential futures before making critical decisions. Research is super-important. But's it's static data existing in an ever-changing network effect sort of world. ProofAnalytics.ai inverts the traditional relationship between teams and AI, where experienced intuition and gut-feel becomes valuable co-pilots to causal modeling. No more disconnected frameworks. Just real strategy, built for real-world execution. #AI #BusinessStrategy #CausalAI #ProofAnalytics #AnalyticalAI #KPIs #OperationalExcellence #CounterfactualAnalysis #CFO #Finance #CMO

The No’s are pulling away here. The voting is almost “party line” between functional leaders and company leaders. That’s not a healthy dynamic for any of us. At this point, I’d like to ask not for your vote one way or the other, but for you to share your perspective on this issue. We need to better understand each other.

If you’re looking for a causal analytics tool to help you understand how marketing magnifies and multiplies sales performance, ProofAnalytics.ai is the only MASB-certified tool on the market. #CauseBigEffects