How to Track Trial Conversion Rate in Baremetrics
Signups mean little when revenue stays flat. Trial conversion rate shows the share of trials becoming paying customers. Baremetrics reports this number in Trial Insights and refreshes the chart as trials start, convert, and cancel. This gui...
Signups mean little when revenue stays flat. Trial conversion rate shows the share of trials becoming paying customers. Baremetrics reports this number in Trial Insights and refreshes the chart as trials start, convert, and cancel.
This guide covers the formula, the setup requirements, the other Trial Insights metrics, the benchmark ranges, and the checks to run when the number looks wrong. Product details come from Baremetrics pages. Confirm plan access on the Baremetrics pricing page before planning around any feature.
What trial conversion rate means in Baremetrics
Trial conversion rate is the percentage of trials converting to paid plans. The Baremetrics Help Center article on Trial Insights gives the equation: converted trials in the past 30 days divided by new trials in the past 30 days, multiplied by 100.
Baremetrics shows the result as a 30-day rolling average. A rolling average smooths daily swings. A day with two trials and no conversions does not distort the chart.
A simple example shows the math. A product starts 100 new trials in the past 30 days. Twenty-two of those trials convert to paid plans in the same window. The conversion rate equals 22%.
Rolling averages suit trend watching better than cohort analysis. A spike in signups can pull the rate down for several weeks, because the new trial users have not had time to convert. The Baremetrics explanation of trial conversion rate metrics makes the same point and warns about recent cohorts looking weaker than they finish.
Treat the rate as a trend line. Use cohort views or a manual export when you need a final verdict on one signup group.
Requirements before Trial Insights shows data
Baremetrics sets two minimum requirements. The Help Center states you need at least 10 trials and 30 days of trial data to use Trial Insights. A new account or a small beta will see a thin view until both thresholds pass.
Trial length also matters. When existing paid plans include a trial period, Baremetrics detects the length automatically. When trial users sit on a free plan and move to a paid plan later, either by hand or through code, you must tell Baremetrics how long the trial lasts. The app prompts for this value on first access to trial metrics. You can change the value later on the Plan Management page.
Work through this checklist before trusting the chart:
- Connect your billing source. The Baremetrics pricing page lists Stripe, Braintree, Chargebee, Recurly, Shopify, Apple App Store, and Google Play Store among supported sources. Confirm Trial Insights support for your source with Baremetrics.
- Wait for the first data sync to finish.
- Open Plan Management and confirm the trial length for every plan with a trial.
- Confirm the account holds at least 10 trials and 30 days of trial data.
- Open Trial Insights and review the metrics in the order shown below.
The Trial Insights metrics and what each one means
Trial Insights shows more than the headline rate. The Help Center defines each metric in plain terms.
| Metric | Definition from the Help Center | Why the metric matters |
|---|---|---|
| Conversion rate | Percentage of trials converting to paid, shown as a 30-day rolling average | Shows funnel health |
| Average trial length | Average time for someone to convert from a free trial to paid | Shows how long buyers need to decide |
| Active trials | People currently inside the trial period | Shows current pipeline size |
| New trials | Trial customers who signed up during the set date range | Shows top-of-funnel flow |
| Converted trials | Trials converted to paid plans | Shows revenue wins |
| Canceled trials | Trials canceled or failed to convert | Shows leakage |
| Trial value | Lifetime value of the plan the customer trialed, as of signup day | Shows revenue potential |
Read the rate beside new trials. A high rate from a handful of trials says little. A moderate rate from hundreds of trials may carry more revenue. Baremetrics also groups trials by value or by time left, so teams can focus on high-value trials or trials near their end date. The Trial Insights feature page describes these views.
How to read the number each week
A fixed routine turns the chart into a decision tool. Follow the same order every week.
- Open Trial Insights on the same day each week.
- Read the conversion rate and note the direction over the last 30 days.
- Check new trials. Rising trials with a falling rate often point to lead quality or onboarding problems.
- Check active trials and trials near their end date. These accounts need follow-up now.
- Compare average trial length against the planned trial period. A long gap suggests buyers need more time or more help.
- Compare trial value across plans. A strong plan deserves more promotion. A weak plan deserves a pricing or packaging review.
Write down one change per week, such as a new onboarding email, a trial length test, or a pricing change. Compare the next month of data against the change date. This habit ties the chart to a story and prevents guesswork.
Share the weekly read with sales, support, and product. Each team owns a different lever. Sales controls follow-up speed. Support controls answers during the trial. Product controls the first useful action. A shared view keeps all three teams working on the same number.
Benchmark ranges and how to use them
Benchmarks give rough guardrails. They do not replace your own history. Baremetrics publishes ranges in its trial conversion article but does not name a dataset behind the figures. Treat every number below as directional.
| Trial model | Range stated by Baremetrics |
|---|---|
| Opt-in trial, no card required | About 18% to 25% |
| Opt-out trial, card required | About 50% to 60% |
| Freemium to paid | About 1% to 10% |
| B2B SaaS median | About 18.5% to 25% |
The trial model shapes the number. A product without a card requirement should not expect the rate of a card-required trial. Compare against your own model and your own past results first.
Fix tracking with wrong numbers
When the chart looks off, check the inputs before changing the product. Common causes include:
- Billing connection. Confirm the integration is active and the last sync completed.
- Trial length. A wrong value on Plan Management changes which users count as trials.
- Definition drift. A free plan is not always a trial. A user who pays on day one may skip the trial view.
- Pricing or plan changes. New annual plans or new trial rules move the chart without any change in onboarding quality.
- Duplicate accounts. Repeat signups from the same person inflate new trials and lower the rate.
- Late conversions. Recent cohorts rise as more users convert, so early readings understate the final result.
Baremetrics also publishes a guide on using subscription reporting to improve your trial conversion rate. Pair the guide with the SaaS metrics checklist for founders to place the rate beside churn, MRR, and LTV.
Turn the number into action
When trials rise and conversion falls
Start with lead quality. Check the source of the new trials and compare their activation steps against older cohorts. Then review onboarding. Trial users who never reach the first useful action rarely convert. Fix the first weak step before adding more traffic.
When trial value is high and conversion is soft
High trial value with weak conversion points to a follow-up gap. Use the Trial Insights groupings to find high-value trials near their end date. Assign a person to contact each account. A short message with a clear next step often beats a long sequence.
When conversion rises and revenue stays flat
Check the plan mix. Trials may convert to the cheapest plan only. Compare trial value and ARPU across plans. A packaging change may lift revenue without any change in the conversion rate.
FAQ
What formula does Baremetrics use for trial conversion rate?
Baremetrics divides converted trials in the past 30 days by new trials in the past 30 days and multiplies by 100. The chart shows a 30-day rolling average.
Why does Trial Insights show no data?
The Help Center requires at least 10 trials and 30 days of trial data. Missing trial length settings on free-to-paid plans can also block the view.
Does a free plan count as a trial?
Not always. Trial users on a free plan who move to paid need a trial length entered on the Plan Management page. Otherwise the numbers may drift.
Is a rolling average the same as cohort analysis?
No. A rolling average blends all trials in the window. A cohort view follows one signup group over time. Use the rolling average for trends and cohorts for final results.
What is a good trial conversion rate?
The answer depends on the trial model. Baremetrics cites about 18% to 25% for opt-in trials and about 50% to 60% for card-required trials, without naming a dataset. Compare against your own history first.
Conclusion
Trial conversion rate links interest to income. Baremetrics calculates the number as a 30-day rolling average and surrounds the rate with trial volume, trial length, and trial value. Meet the 10 trial and 30 day minimums, set trial lengths correctly, and review the chart on a fixed weekly schedule.
Use the rate as a trend, not a verdict. Pair the rate with new trials, plan mix, and follow-up on high-value accounts. Verify current plan access and pricing on the official Baremetrics pricing page before building a process around the feature.
