Sales Forecasting

WAU/MAU Ratio

2026-05-31 7 min read

WAU/MAU ratio measures weekly active users as a percentage of monthly active users — the engagement metric more appropriate for B2B SaaS where daily use isn't expected. WAU/MAU of 60–75% indicates strong weekly habits; below 40% suggests the product isn't yet a weekly tool. WAU/MAU is the better signal than DAU/MAU for most B2B SaaS, planning tools, and analytics products where workflow integration is the goal — not daily addiction.

TL;DR

<strong>WAU/MAU ratio</strong> measures weekly active users as a percentage of monthly active users — the engagement metric more appropriate for B2B SaaS where daily use isn't expected. WAU/MAU of 60–75% indicates strong weekly habits; below 40% suggests the product isn't yet a weekly tool. WAU/MAU is the better signal than DAU/MAU for most B2B SaaS, planning tools, and analytics products where workflow integration is the goal — not daily addiction.

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Sales Forecasting
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Editorial standards

Sources

Definitions and benchmarks reference primary sources from the Sales Forecasting pillar. Verified at publication.

  1. 1 State of Sales Forecasting — Gartner, 2025. View source .
  2. 2 AI Revenue Forecasting Accuracy Study — Forrester, 2025. View source .
  3. 3 Pipeline Coverage Benchmarks B2B SaaS — Pavilion, 2025. View source .

Fairview cites primary sources only — government data, academic research, industry benchmarks from named publishers, and official vendor documentation. See our editorial standards.