Time-to-value (TTV / TTFV)
The lever that moves activation.
- Formula
- Elapsed time from signup to first realized value
- Unit
- min/hrs/days
- Models
- SaaS, Usage-based, Subscription
No public benchmark exists for this metric yet. This is where Omega Point's proprietary data will fill in.
What it is
Time-to-value (TTV), sometimes called time-to-first-value (TTFV), is the elapsed time from when a user signs up to the moment they experience the first meaningful outcome the product promises. What counts as "value" is product-specific: it might be completing a workflow, seeing a result, importing data, inviting a collaborator, or reaching a defined activation event.
How to calculate it
Define a specific, observable activation event that represents your product's first value delivery — not a proxy action like "visited the dashboard" but a concrete outcome (e.g., "generated first report," "connected first integration," "made first booking"). Measure the median and 25th/75th percentile elapsed time from account creation timestamp to that event timestamp, across new-user cohorts. Track the distribution, not just the mean — a long tail of users who never reach the value event is a different problem from a uniformly slow path.
Why it matters
Time-to-value is the primary lever for activation rate. Users who experience value quickly are more likely to retain, expand, and convert from trial. Users who do not reach value before their attention window closes churn silently. For SaaS, usage-based, and subscription products, activation is the gating step between acquisition spend and any downstream return — a slow TTV means that even well-acquired users are lost before the product has a chance to demonstrate its worth.
How to read it
There is no credible numeric benchmark for time-to-value. The metric is product-definition-dependent: TTV for a consumer app that delivers a result in one interaction is measured in minutes; TTV for an enterprise workflow tool that requires data import, configuration, and a first completed process may reasonably be measured in days or weeks. "Minutes not days" is a commonly repeated aspiration in SaaS onboarding discourse, but it is not a measured benchmark — it is a design principle that applies to consumer and simple self-serve products and is often inapplicable to complex B2B tools.
Omega Point does not propose a numeric estimate here. Instead, establish your own baseline by measuring where your current cohort reaches the activation event, then set improvement targets against that internal baseline. Segment by acquisition channel and user role — different entry paths often produce systematically different TTV profiles that reveal where friction is highest.