B2B product analytics
B2B Product Analytics: A Practical Account-Level Guide
Learn how to measure B2B SaaS usage by account, user, feature, and session—and turn adoption and friction signals into product decisions.
Resources
B2B Product Intelligence Guides
Practical guides for understanding how companies and users adopt B2B software.
Start here
Featured guides
Feature and product adoption
Feature Adoption Rate for B2B SaaS: Formula, Denominator, and Examples
Calculate feature adoption rate for B2B SaaS with the right denominator, behavior threshold, time window, and account-level examples.
Account and user health
Customer Health Score for B2B SaaS: A Product-Usage Framework
Build a transparent B2B SaaS customer health score using adoption, breadth, consistency, user distribution, and trend—without confusing a usage signal with churn prediction.
Library
All guides
Feature and product adoption
Account Adoption vs User Adoption: Which Metric Should You Use?
Learn when to measure account adoption, user adoption, or penetration—and how to interpret them together in B2B SaaS.
B2B product analytics
How to Measure Product Usage by Company in B2B SaaS
A practical guide to the identity model, event context, product hierarchy, account metrics, and company overview needed to measure B2B SaaS usage reliably.
Account and user health
Why Logins Are a Weak Customer Health Signal
Logins prove access, not value. Learn which B2B SaaS signals better explain account adoption, user distribution, and customer health.
B2B product analytics
B2B Product Analytics: A Practical Account-Level Guide
Learn how to measure B2B SaaS usage by account, user, feature, and session—and turn adoption and friction signals into product decisions.
Feature and product adoption
Feature Adoption Rate for B2B SaaS: Formula, Denominator, and Examples
Calculate feature adoption rate for B2B SaaS with the right denominator, behavior threshold, time window, and account-level examples.
Account and user health
Customer Health Score for B2B SaaS: A Product-Usage Framework
Build a transparent B2B SaaS customer health score using adoption, breadth, consistency, user distribution, and trend—without confusing a usage signal with churn prediction.