Metric Definition
TTV
Time to value
Time to value measures how long it takes a new user or customer to experience the core value of your product. It is the most important onboarding metric because users who reach value quickly are dramatically more likely to retain, expand, and advocate.
6 min read
What is time to value?
Time to value (TTV) measures the elapsed time from when a new user signs up until they first experience the core value your product provides. For a project management tool, that might be creating their first project and inviting a teammate. For an analytics platform, it might be connecting a data source and viewing their first report. For a communication tool, it might be sending their first message.
TTV matters because it is the strongest predictor of retention. Users who reach the value moment quickly form a positive first impression and are more likely to return. Users who spend days or weeks in setup before seeing any value are far more likely to abandon the product. Research consistently shows that each additional hour of TTV reduces the probability of long-term retention.
The metric is particularly important for product-led growth businesses where users self-serve through onboarding without a dedicated salesperson or implementation consultant. In these models, the product itself must deliver value quickly enough to earn continued engagement. A long TTV is the equivalent of a sales pitch that takes forever to get to the point: the audience loses interest.
TTV can be measured in minutes, hours, days, or weeks depending on the product complexity. Consumer apps should aim for minutes. Self-serve SaaS should aim for minutes to hours. Enterprise SaaS with implementation requirements might have TTV measured in days or weeks, though the goal should always be to reduce it.
Time to value is the most impactful metric for product-led growth. Users who reach the "aha moment" in their first session retain at 2x to 3x the rate of those who do not. Every hour reduced from TTV translates directly to improved activation and retention.
How to measure time to value
Measuring TTV requires defining the value moment: the specific user action that represents the first experience of core product value. This definition should be based on data, not assumption. Analyse which early actions correlate most strongly with long-term retention. The action with the strongest correlation is your value moment.
Once defined, TTV is the time elapsed between account creation and the first occurrence of the value action. Track both median and percentile distributions (P25, P50, P75, P90) because the distribution matters more than the average. If median TTV is 2 hours but P90 is 14 days, 10% of users are having a dramatically different experience.
| Product type | Example value moment | Target TTV |
|---|---|---|
| Messaging app | Sent first message | Under 5 minutes |
| Project management | Created a project and added a task | Under 30 minutes |
| Analytics platform | Connected data source and viewed first report | Under 2 hours |
| CRM | Imported contacts and logged first activity | Under 1 day |
| Enterprise SaaS | Completed implementation and ran first workflow | 1 to 4 weeks |
TTV in a metric tree
TTV sits at the critical junction between acquisition and retention. It is the moment that determines whether a sign-up becomes an active user. In a metric tree, it decomposes into the steps and friction points that slow down value delivery.
The tree reveals that TTV is the sum of all the steps between sign-up and value. Each step is a potential friction point that adds time and increases the risk of abandonment. The most effective TTV improvements come from eliminating steps entirely rather than making existing steps faster. Can you defer profile setup until after the value moment? Can you provide sample data so users do not need to import their own first? Can you offer a template that lets users skip the blank-canvas problem?
How to reduce time to value
- 1
Defer everything that is not essential to the first value moment
Profile setup, preferences, integrations, and team invitations can all happen after the user has experienced value. Move these steps to post-activation onboarding rather than pre-activation setup.
- 2
Provide templates and pre-built examples
Templates eliminate the blank-canvas problem. Users who start from a template reach value faster because the structure is already in place. Offer templates for the most common use cases.
- 3
Offer sample data for immediate exploration
If your product requires data to demonstrate value, provide sample datasets that users can explore immediately. This lets them experience the product before investing time in importing their own data.
- 4
Build interactive onboarding that guides to the value moment
Replace static tutorials with interactive walkthroughs that guide users through the exact steps to reach value. Each step should be accompanied by clear explanations of why it matters.
- 5
Simplify the sign-up flow
Every field in the registration form adds friction. Use social login, reduce required fields to email and password only, and defer everything else. The goal is to get users into the product as quickly as possible.
Common mistakes with TTV
Defining the value moment incorrectly
The value moment should be the earliest action that strongly correlates with retention, not the most impressive feature. Validate the definition with data by comparing retention rates of users who completed the action versus those who did not.
Frontloading setup before value
Asking users to complete a lengthy setup process before they see any value is the most common TTV mistake. Find ways to deliver value first and complete setup later.
Measuring TTV only for users who activate
Users who abandon during onboarding have an infinite TTV. Track abandonment rates at each onboarding step alongside TTV to understand the full picture of onboarding health.
Not accounting for different user segments
Power users and novice users may have different value moments and different TTV expectations. Segment TTV analysis by user type and experience level.
Related metrics
Retention Rate
Product MetricsMetric Definition
Retention Rate = (Users Active at End of Period / Users Active at Start of Period) × 100
Retention rate measures the percentage of users or customers who continue to use your product over a given period. It is the most important growth metric because sustainable growth is impossible when users leave faster than they arrive.
Feature Adoption Rate
Product MetricsMetric Definition
Feature Adoption Rate = (Users Who Used the Feature / Total Active Users) × 100
Feature adoption rate measures the percentage of users who use a specific feature within a given period. It tells product teams whether new features are resonating with users and which existing features are underutilised, guiding investment decisions and roadmap priorities.
Daily Active Users
DAU
Product MetricsMetric Definition
DAU = Unique Users Who Performed a Qualifying Action in a Single Day
Daily active users measures the number of unique users who engage with your product on a given day. It is the primary engagement metric for consumer and SaaS products, indicating whether your product has become a daily habit for its users.
Customer Satisfaction Score
CSAT
Product MetricsMetric Definition
CSAT = (Satisfied Responses / Total Responses) × 100
Customer satisfaction score measures how satisfied customers are with a specific interaction, product, or experience. Unlike NPS which measures loyalty, CSAT captures satisfaction at a moment in time, making it ideal for evaluating specific touchpoints in the customer journey.
See what slows down your users
Build a metric tree that decomposes time to value into every step between sign-up and first success so you can eliminate friction and get users to value faster.