Conversations with the revenue leaders, researchers, and builders who are rewriting the rules of enterprise selling with cutting-edge technology.
Featured
Why the average enterprise deal takes 230 days to close – and what the top 1% of revenue teams do differently. A deep dive into cycle time compression through buyer group intelligence.
The buying committee has 6-12 people. Your rep talks to two of them. How AI agents are mapping the invisible stakeholders who actually control the decision.
Forecasting accuracy in B2B sales has not improved in 20 years. The problem is not the math. It is that reps are reporting what they believe, not what the data shows.
How reinforcement learning changes the game when the objective function is not a test score or a pixel – it is a human being making a $500K decision under uncertainty.
MEDDPICC, Sandler, Challenger – every team runs a methodology. Almost none of them enforce it. What happens when the methodology is wired into the system instead of a binder.
The first meeting goes great. The second meeting never happens. The most common failure mode in enterprise sales – and the three patterns that prevent it.
Your team generated $40M in pipeline this quarter. $12M of it is real. The rest is noise. How the best CROs distinguish between pipeline that converts and pipeline that dies.
You need a champion to win the deal. But the person who claims to be your champion often cannot actually champion anything. How to identify real champions vs. friendly contacts.
About the show
The 20x Podcast is for CROs and revenue leaders who want to understand the technology that is about to transform their organizations. AI agents, reinforcement learning, buyer group intelligence, and the science of how humans make high-stakes decisions.
Every episode goes deep on a single idea. No filler. No ads. No “top 10 tips.” Just the research, the data, and the people who are building the future of revenue.
20x is not a metaphor. It is the measured difference between the best-performing revenue teams and the average. We study what creates that gap.
How AI agents change the operating model of a revenue team. What to invest in. What to stop doing. How to measure the ROI.
The technical architecture of AI-powered revenue systems. How RL models are trained. How buyer groups are mapped. How deal scoring works under the hood.
Conversations about the hard problems: non-stationary environments, sparse reward signals, multi-agent coordination, and what it takes to build AI for human-decision domains.
Subscribe to The 20x Podcast and get every episode the day it drops.