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New: The 2026 AI Readiness Audit
We analyzed six years of B2B CRM deal history and 52 public AI readiness checklists to find what actually predicts revenue, and whether anyone measures it before AI goes live.
Six findings · Five tests to run · Free PDF
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The State of B2B Revenue 2026
What the data says about why revenue teams are stalling, and what the companies that turn it around do differently. Quota attainment, seller time, CRM data, buyer behavior, retention, talent and AI, fully sourced.
Ten chapters · 2026 benchmarks · Every source linked
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Related Insight Papers
All insights- AI readiness assessment for sales teams: a scored checklistA free AI readiness assessment for sales teams: 16 scored questions on CRM data, definitions, process and people, and how to read the score.
- What is AI-ready data? A CRM definition you can test.What is AI-ready data? Data a machine can act on without a human catching the mistake. A four-part pass/fail test for CRM data you can run yourself.
- AI agents in your CRM? Don’t give them write access.Should AI agents update your CRM? Not on forecast, routing or comp fields yet. How to set AI agent permissions in HubSpot and Salesforce, field by field.
- Commit, best case, pipeline: a forecasting glossary.Commit vs best case vs pipeline, weighted pipeline, sandbagging, happy ears and the forecast call: plain definitions of the terms sales forecasts run on.
- Your Pipeline Review Is Teaching Your Reps to LieWhy the weekly pipeline review rewards sandbagging and tidy stories over truth, what deal slippage reveals, and how to run a review reps can be honest in.
- Your CRM is lying to you.Why CRM data accuracy breaks your forecast, the three fields that do the most damage, and why AI trained on dirty CRM data makes it worse.
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