Definition
Trial length is how long a trial user can evaluate your product before needing to convert to paid. It affects conversion and sales cycle dynamics.
Example
A 14-day trial may work for simple products, while a 30-day trial fits complex workflows.
How to use it
- Shorter trials can increase urgency but may reduce activation for complex products.
- Choose length based on time-to-value and onboarding complexity.
- Use in-product milestones to extend trials only when value is demonstrated.
Common mistakes
- Using one trial length across segments with very different time-to-value.
- Extending trials without tracking activation, which can lower urgency.
Measured as
Measure Trial Length on the same customer segment, time window, and revenue basis each time you review it.
Misused when
- Using one trial length across segments with very different time-to-value.
- Extending trials without tracking activation, which can lower urgency.
Operator takeaway
- Shorter trials can increase urgency but may reduce activation for complex products.
- Choose length based on time-to-value and onboarding complexity.
- Use in-product milestones to extend trials only when value is demonstrated.
- Keep Trial Length consistent by cohort, segment, and period before you use it as a decision signal in planning or reporting.
- Interpret the metric alongside retention, margin, or payback so one ratio does not hide the real operating trade-off.
Next decision
- Read PLG metrics hub: activation, trial conversion, stickiness, and adoption if the decision depends on interpretation, policy, or trade-offs beyond the raw formula.
- Decide whether Trial Length is a growth, retention, or efficiency signal before you set targets around it.
Where to use this on MetricKit
Guides
- PLG metrics hub: activation, trial conversion, stickiness, and adoption: A practical hub for product-led growth metrics: activation rate, trial-to-paid, DAU/MAU and WAU/MAU stickiness, feature adoption, and PQL-to-paid conversion.