Glossary
The exact formulas Product Managers, PLG teams, and Customer Success use to measure adoption, activation, and stickiness, the same definitions BaseDynamics computes automatically for every account.
New users in the trailing 30-day window who triggered a core feature event, marking the point where a user moved from signed-up to actually using the product.
activatedUsers (Last 30 days) = new users in trailing 30 days who triggered ≥1 core event.Computed automatically once your core events are mapped by the product crawler, no manual funnel configuration required.
The share of new users who actually activate, the clearest single signal of whether onboarding is working.
Activation Rate = (activated Users 30d / new Users) × 100.Calculated automatically per account and portfolio-wide.
What percentage of the seats or licenses you've sold are actually being used, a fast way to spot underused deployments before renewal.
Active User Ratio = (MAU / total Licensed Users) × 100.Surfaces automatically inside account health and expansion signals.
The portion of your previously active user base that did not return in the current 30-day window.
Churned Users = previous 30d Active Users − retained Users.Computed continuously as part of the core telemetry matrix.
The number of distinct accounts with at least one tracked action on a given day, the account-level (B2B) equivalent of DAU.
DAA = distinct active accounts for the date.Computed out of the box once your telemetry is connected.
The number of distinct individual users with at least one tracked action on a given day.
DAU = distinct active users for the date.Computed out of the box once your telemetry is connected.
An account is flagged as churned when it was active within the trailing 60 days but shows zero activity in the trailing 30 days, an early behavioral signal, not a cancellation event.
Active in [T-59, T-30] AND NOT active in [T-29, T]Feeds directly into the Retention Guardian's evidence collection.
The distinct users who triggered a specific core feature event on a given day, the building block for feature-level adoption reporting.
Feature Adopted Users = distinct users who triggered a core feature event on the metric date.Automatically mapped by the product crawler at the individual feature level.
What share of your active user base is actually using your core features, a stronger signal of real value delivery than login counts alone.
Feature Adoption Rate = (core Feature Users 30d / MAU) × 100.How many of your available core features an account is actually touching, a wide breadth usually signals a stickier, harder-to-churn account.
Feature Breadth = (core Features Used 30d / total Available Core Features) × 100.Feeds directly into expansion and health scoring signals.
The time from signup until a user completes the full funnel or workflow that delivers the core product benefit, not just a single feature touch. Where Time to Activation measures the first core event, First Time to Value measures the point a user actually reaches the outcome-bearing flow, a stricter and often later milestone.
First Time to Value = avg(first_funnel_completion_at − signup_at), expressed in seconds.Tracked automatically per account cohort, alongside Time to Activation.
The count of users who fully completed a defined activation funnel within the trailing 30-day cohort window, a stricter measure than general activation.
Funnel Activated Users = completed users in the trailing 30-day funnel cohort.Tracked automatically as part of onboarding velocity mapping.
The number of distinct accounts active at least once in the trailing 30 days.
MAA = distinct active accounts, trailing 30 days.The number of distinct individual users active at least once in the trailing 30 days, the most widely used baseline usage metric in B2B AI SaaS.
MAU = distinct active users, trailing 30 days.Computed automatically and used as the denominator for most other ratios on this page.
An account is counted as new on the exact day its first tracked activity occurs.
New Account = 1 when first_event_at (account-level) = targetDate, else 0.Flagged automatically the moment telemetry starts flowing for a new account.
A user is counted as new on the exact day their very first tracked event occurs, scoped to their specific account.
New User = first_event_at = target Date (scoped to workspace_id, account_id).Tracked automatically as the base input for activation and retention metrics.
The previous 30-day active accounts that showed activity again in the current 30-day window.
Retained Accounts = previous 30d active accounts who returned in current 30d window.The previous 30-day active users who returned in the current 30-day window.
Retained Users = previous 30d active users who returned in current 30d window.Computed automatically as the numerator of Retention Rate.
The percentage of previously active users who came back, the headline metric for whether a product is holding onto the users it already won.
Retention Rate = (retained Users / previous 30d Active Users) × 100.How often your monthly active users actually show up week to week, a strong proxy for habitual, sticky usage rather than occasional logins.
Stickiness Ratio = (avg WAU last 30d / MAU) × 100.Directly feeds the Autonomous Health Scoring engine.
Whether an account's stickiness is improving or declining compared to the prior period, a directional early-warning signal ahead of a raw stickiness drop.
Stickiness Trend = (Stickiness last 30d / Stickiness previous 30d) × 100.Used by the Retention Guardian as a leading risk indicator.
How long, on average, it takes a new user to go from first touching the product to hitting a core value moment, the clearest measure of onboarding speed.
Time to Activation = avg(first_core_event_at − first_event_at), expressed in seconds.A raw count of tracked usage events, the base unit most other ratios on this page are built from.
Usage Count = usage_count.Captured automatically from every connected telemetry source.
The number of distinct accounts active at least once in the trailing 7 days.
WAA = distinct active accounts, trailing 7 days.The number of distinct individual users active at least once in the trailing 7 days.
WAU = distinct active users, trailing 7 days.Computed automatically, and the numerator behind Stickiness Ratio.
BaseDynamics computes these activation, stickiness, and usage formulas automatically once your telemetry is connected.
