What is the Trials Converted Metric?
The Trials Converted metric represents the total number of free trials that resulted in paid subscriptions during the selected period, regardless of the trial start date. This metric provides a direct count of successful trial conversions, indicating the effectiveness of your trial-to-paid subscription funnel.
You can find it in the Cleeng Dashboard under Analytics > Trial Conversions.
How is it Calculated?
The calculation is a simple count:
Trials Converted = Count of free trials that converted to paid subscriptions during the specified period.
Trial Conversions Dashboard
The Trial Conversions dashboard tracks the performance of your free trial program through two complementary metrics: Trials Converted and Trial Conversion Rate. Together, they give you a complete picture of how effectively your trial offers turn potential customers into paying subscribers. This dual view makes it easy to spot when high volume coincides with low efficiency, or when a smaller cohort converts at an exceptional rate.
Dashboard components:
- Combo Chart Visualization: Displays Trials Converted as a bar chart and Trial Conversion Rate as a line chart. This format helps you compare conversion volume and efficiency trends within the same timeframe.
- Data Table with Totals: Lists both metrics side by side for each day in the selected period. A totals row offers quick insight into aggregate performance. Data can be exported for further analysis.
How are Trials Converted and Trial Conversion Rate Different?
| Trials Converted | Trial Conversion Rate | |
| What it measures | Absolute count of successful conversions | Percentage of trials that converted |
| Best used for | Tracking volume and growth over time | Evaluating the efficiency of your trial program |
| Example | 565 trials converted on March 18 | 83% conversion rate on March 18 |
How to Use Trial Conversions in a Subscription Business
- Assess overall trial health: Monitor both metrics over time to understand whether your trial program is growing in volume while maintaining (or improving) conversion efficiency.
- Optimize trial offers: Analyze how changes to trial length, features, pricing, or onboarding impact both the number and rate of conversions.
- Diagnose conversion problems: A low Trials Converted count paired with a low Trial Conversion Rate signals a systemic issue with trial appeal or the conversion process. A low rate despite high volume may point to onboarding or product experience gaps.
- Evaluate A/B tests and campaigns: Use the data table view to compare specific date ranges and measure the impact of targeted retention or acquisition efforts.
FAQs
How does Trials Converted differ from Trial Conversion Rate?
Trials Converted counts the number of successful conversions, while Trial Conversion Rate calculates the percentage of trials that converted. They provide different perspectives on trial performance.
What does a low number of Trials Converted indicate?
A low number of converted trials may indicate issues with the trial experience, product appeal, or conversion process. It signals a need to investigate and improve trial strategies.
What does a low Trial Conversion Rate indicate?
A low rate may point to issues with trial length, product experience, onboarding quality, or pricing. It's a signal to investigate where and why trials are terminating without converting.
Can the two metrics move in opposite directions?
Yes - and that's where the combined dashboard is most valuable. For example, a spike in Trials Converted (like the peak visible around March 1–2 in the sample Trial Conversions chart above) can coincide with a dip in Trial Conversion Rate if a large batch of lower-quality trials also ended in that period.
Why is it important to track Trials Converted and Trial Conversion Rate together?
Tracking only one of these metrics can give an incomplete or misleading view of your trial performance. Looking at both together helps you understand the full picture:
- High conversion volume with a low or declining rate may mean you're attracting many users who don’t stick .
- A high conversion rate with low volume means your trial experience works - but too few users are entering the funnel.
Together, they tell you whether your trial program is healthy in both quantity and quality.
What insights can I gain from the combo chart visualization?
The chart pairs daily conversion volume (bars) with conversion efficiency (line). Viewing them side by side helps you spot patterns that are easy to miss when looking at each metric separately. Some common patterns include:
- A tall bar with a declining line points to a high-volume day where quality dropped.
- A short bar with a high line suggests a smaller but highly engaged audience.
- Sudden drops in the rate line are useful for flagging anomalies that are worth investigating - a pricing change, a campaign bringing in low-intent users, or a technical issue.