GTM OpsSaaStr

DAU, WAU and MAU Are the New Lighthouse Metric in B2B + AI. Harvey’s a Great Case Study.

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In B2B + AI, engagement is the leading indicator. ARR is the trailing confirmation.

Key takeaways

  • Harvey achieved 50% DAU/MAU (vs 10-20% typical B2B) with 12 hours/month per user, driving 6x YoY ARR growth to $190M - proving engagement predicts revenue in AI products
  • Traditional B2B ignored engagement because annual contracts and high switching costs masked product death for years; AI products with low switching costs make daily usage the primary retention signal
  • The metric shift from ARR-first to engagement-first represents a fundamental change in B2B SaaS evaluation - companies must now track DAU/MAU/hours-per-user as lighthouse metrics, not vanity metrics

Why this matters for operators: Any B2B company building or buying AI tools needs to rethink success metrics and evaluation criteria

I cover AI×GTM intelligence like this every Wednesday.

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This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.