Product Metrics

Metrics for measuring product usage, adoption and delivery.

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Usage Metrics

Daily Active Users (DAU)

Definition: Unique users who performed a meaningful action in the product on a given day.

Formula:

DAU = Count of unique users with qualifying activity in 24-hour period

Qualifying activity: A core action, defined per product, that the user chose to take. Logging in on its own does not qualify.

What it tells you: Daily engagement level.

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Weekly Active Users (WAU)

Definition: Unique users who performed a meaningful action in the product within a 7-day period.

Formula:

WAU = Count of unique users with qualifying activity in 7-day period

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Monthly Active Users (MAU)

Definition: Unique users who performed a meaningful action in the product within a 30-day period.

Formula:

MAU = Count of unique users with qualifying activity in 30-day period

What it tells you: Monthly engagement breadth.

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DAU/MAU Ratio (Stickiness)

Definition: The ratio of daily to monthly active users, indicating how often users return.

Formula:

Stickiness = DAU / MAU × 100

Benchmarks:

• Below 10%: Low stickiness, investigate product-market fit
• 10-13%: Average for B2B SaaS (Mixpanel data: 13% median)
• 13-20%: Good for B2B SaaS
• 20-25%: Strong engagement
• 25%+: Exceptional (top-quartile products)
• 50%+: World-class (communication/collaboration tools like Slack)

Important context: DAU/MAU is misleading for products not designed for daily use (accounting tools, signature apps, seasonal products). For B2B tools used weekly, WAU/MAU is more appropriate.

What it tells you: How habit-forming the product is. Higher = users come back more frequently.

Sources:

• Mixpanel: Product Benchmarks 2024
• Gainsight: DAU/MAU Guide

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WAU/MAU Ratio

Definition: Weekly to monthly active user ratio.

Formula:

WAU/MAU = WAU / MAU × 100

Benchmarks:

• Below 40%: Infrequent use
• 40-60%: Moderate use
• Above 60%: Regular weekly use

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Active Accounts

Definition: Customer accounts with at least one active user in the period.

Formula:

Active Accounts = Count of accounts with ≥1 active user in period

What it tells you: Account-level engagement (vs user-level).

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Activation Rate

Definition: Percentage of users who signed up in the period that reached the activation milestone.

Formula:

Activation Rate = Users reaching activation / New users × 100

Activation milestone: Product-specific moment when user has experienced core value. Define explicitly.

Benchmarks:

• Below 20%: Low activation, onboarding issue
• 20-40%: Average
• 40-60%: Good
• Above 60%: Strong activation

What it tells you: Whether new users reach the product’s core value, the first step to keeping them.

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Trial-to-Paid Conversion Rate

Definition: The percentage of trials that ended in the period and became paying customers.

Formula:

Trial-to-Paid Conversion Rate = Trials converted / Trials ended (converted + expired + cancelled) × 100

Also known as: Free-to-Paid Conversion Rate, Trial Conversion Rate

Cohort: Trials are counted by the date they ended, not started, so every trial in the denominator has an outcome. A trial that converts before its end date ends on the day it converts. Counting by start date understates recent periods while trials are still running; report it as a variant and say so.

Scope: Time-boxed free trials and freemium accounts that upgrade. A proof of concept run by sales is an opportunity stage, not a trial.

Benchmarks:

• Opt-in free trial (no card): 10-25% (per OpenView / Lenny’s PLG benchmarks)
• Opt-out trial (card required): 40-60%
• Freemium to paid: 2-5%

What it tells you: Whether the product sells itself once someone tries it. It is the first conversion metric of a product-led motion. Read it with Activation Rate, since trials that never activate rarely convert.

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Adoption Metrics

Feature Adoption Rate

Definition: Percentage of active users who used a specific feature in the period.

Formula:

Feature Adoption = Users using feature / Total active users × 100

Track for each key feature.

What it tells you: Which features are being used, which are ignored.

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Core Feature Adoption

Definition: Percentage of users using the core features that define the product.

Formula:

Core Feature Adoption = Users using all core features / Total active users × 100

Define 3-5 “core” features that represent full product usage.

Benchmarks:

• Below 30%: Users not fully utilizing product
• 30-50%: Moderate adoption
• 50-70%: Good
• Above 70%: Strong full-product adoption

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Feature Depth

Definition: How intensively users engage with features: average feature actions per user who used a feature in the period.

Formula:

Feature Depth = Average feature actions per user per period

What it tells you: How heavily people use the features they have adopted, which breadth measures miss.

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Time to Feature Adoption

Definition: Median time from signup to a user’s first use of a specific feature, for users whose first use falls in the period.

Formula:

Time to Adoption = Median of (First feature use date - Signup date)

What it tells you: Feature discovery and adoption speed.

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Breadth of Adoption

Definition: Average number of features used per account.

Formula:

Breadth = Distinct (account, feature) pairs used in period / Active accounts

Each account counts each feature it used once, so the result is the average number of distinct features per active account.

What it tells you: How much of the product each account uses.

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Engagement Metrics

Session Frequency

Definition: Average number of sessions per user per period.

Formula:

Session Frequency = Total sessions / Active users

What it tells you: How often users return.

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Session Duration

Definition: Average time spent per session.

Formula:

Session Duration = Total session time / Total sessions

Benchmarks: Highly product-dependent. Track trend over time.

What it tells you: Depth of engagement per visit.

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Time in Product

Definition: Total time spent in product per user per period.

Formula:

Time in Product = Sum of session duration per user

What it tells you: Overall engagement intensity.

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Actions per Session

Definition: Average number of meaningful actions per session.

Formula:

Actions per Session = Total actions / Total sessions

What it tells you: Productivity per session.

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Product Qualified Accounts (PQAs)

Definition: Accounts that have demonstrated product engagement indicating sales-readiness.

Formula:

PQA = Accounts meeting product engagement threshold

Threshold criteria (examples):

• Used product X times
• Activated Y features
• Added Z users
• Reached usage limit

What it tells you: Product-driven sales signals.

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Retention Metrics (Product)

User Retention (Day N)

Definition: Percentage of users who return on day N after signup.

Formula:

Day N Retention = Users active on day N / Users who signed up N days ago × 100

Common intervals: Day 1, Day 7, Day 14, Day 30. The canonical formula reports Day 30 for users who signed up in the period.

Benchmarks (Day 30 for B2B SaaS):

• Below 20%: Poor
• 20-40%: Average
• Above 40%: Good

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Cohort Retention

Definition: Retention tracked by signup cohort over time. The canonical formula reports week 8 for the period’s signup cohort.

Formula:

Cohort Retention (Week N) = Active users in week N / Users in cohort × 100

What it tells you: How retention evolves and whether it is improving for newer cohorts.

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Resurrection Rate

Definition: Percentage of users dormant at period start who returned in the period.

Formula:

Resurrection Rate = Reactivated users / Dormant users × 100

What it tells you: How many lapsed users you win back.

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Delivery Metrics

Release Frequency

Definition: How often new releases are shipped to customers.

Formula:

Release Frequency = Releases per period

What it tells you: Product development velocity.

Note: Related to Engineering’s Deployment Frequency, but measured at feature/product level vs code deployment level.

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Feature Delivery Rate

Definition: Percentage of planned features delivered on schedule.

Formula:

Delivery Rate = Features shipped on time / Features planned × 100

What it tells you: Roadmap predictability.

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Roadmap Completion

Definition: Percentage of roadmap items completed in the period.

Formula:

Roadmap Completion = Roadmap items completed / Roadmap items planned × 100

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Time to Market

Definition: Time from feature concept to production release.

Formula:

Time to Market = Median of (Release date - Concept approval date)

What it tells you: How quickly product can respond to market needs.

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Quality Metrics (Product)

Error Rate (User-Facing)

Definition: Percentage of user actions that result in errors.

Formula:

Error Rate = Error events / Total user actions × 100

Target: <1%

Note: Related to Engineering’s Error Rate, but measured from user action perspective.

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Bug Escape Rate

Definition: Share of bugs found in production rather than caught in testing.

Formula:

Bug Escape Rate = Production bugs / (Production bugs + Bugs caught in QA) × 100

Target: <10%

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User-Reported Issues

Definition: Number of bugs/issues reported by users.

Formula:

User-Reported Issues = Count of user-submitted bug reports

What it tells you: Quality as perceived by users.

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Feature Request Volume

Definition: Number of feature requests received.

Formula:

Feature Request Volume = Count of feature requests per period

Track by theme/category to identify patterns.

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Summary Table

Metric	Type	Primary Indicator Of
DAU/MAU (Stickiness)	Usage	User engagement frequency
MAU	Usage	User engagement breadth
Activation Rate	Adoption	New user success
Trial-to-Paid Conversion Rate	Adoption	Product-led conversion
Core Feature Adoption	Adoption	Full product utilization
Session Frequency	Engagement	Return rate
PQAs	Engagement	Product-driven sales signals
Day 30 Retention	Retention	User stickiness
Release Frequency	Delivery	Development velocity
Error Rate	Quality	Product reliability