A conversion rate is useful only when its event, denominator, audience, and period match the comparison. This guide uses two published datasets with clear scopes and explains how to evaluate the rest of your funnel with your own data.
Published conversion studies use different events, traffic sources, industries, and time periods. Do not treat a figure from one funnel stage as a target for another.
Unbounce's 2024 report covers landing pages, not sitewide e-commerce, trial-to-paid, or B2B website-to-lead funnels. Its median is useful only when the landing-page event and traffic context are comparable.
| Dataset | Reported result | Scope |
|---|---|---|
| Unbounce 2024 Conversion Benchmark Report | 6.6% median | 41,000 landing pages, 464 million unique visitors, and 57 million conversions across industries |
Use this figure as a broad landing-page reference, not as a pass/fail threshold or a proxy for sitewide, lead, signup, or purchase conversion.
Unbounce's industry breakdown reports these medians and 75th-percentile thresholds from its 2024 dataset. A conversion is the action configured for that landing page; it need not be a purchase. Industry subgroup counts are not listed in this summary. Source checked September 12, 2026.
| Industry | Median | 75th percentile |
|---|---|---|
| E-commerce | 4.2% | 11.4% |
| SaaS | 3.8% | 11.6% |
| Professional and commercial services | 6.1% | 14.1% |
| Financial services | 8.3% | 26.1% |
| Travel and hospitality | 4.8% | 15.6% |
| Legal | 6.3% | 13.1% |
| Education | 8.4% | 20.0% |
| Entertainment | 12.3% | 40.8% |
Use the percentile as a position within this sample, not a promised result. Compare offers and conversion events before setting a target; an email-entry form and a paid subscription ask different things of visitors.
A freemium conversion rate, an opt-in trial conversion rate, and an opt-out trial conversion rate measure different populations and decision points. Compare only accounts with the same start event, trial length, billing requirement, cohort age, and conversion window.
Report these models separately and pair the rate with activation, retention, and acquisition cost. A higher conversion rate does not by itself show that one model creates more durable value.
Sitewide conversion blends every funnel stage into one number. Stage-by-stage rates show where the leak is. Baymard's 2025 compilation of 50 studies reports a 70.22% average cart-abandonment rate. It is an aggregate reference, not a target for a specific store or checkout flow.
| Funnel Stage | Published reference | Scope and use |
|---|---|---|
| Cart to completed order | 29.78% completion implied by 70.22% abandonment | Baymard's aggregate cart-abandonment compilation. Compare against your own cart definition and checkout flow. |
Unbounce's 2024 report found a 6.6% median across its landing-page sample. The dataset includes multiple industries and traffic contexts, so it does not establish a target for a particular offer or acquisition channel.
Use a controlled experiment to assess changes to message match, calls to action, form design, or the offer. A below-median result is a reason to investigate the funnel and traffic context, not evidence of a single cause.
Form length can affect completion, but the effect depends on traffic intent and the information needed to qualify a lead. Test a shorter form where it does not remove information required for the next step.
Page speed may be associated with conversion, but the observed relationship can vary by device, page type, and traffic source. Measure speed and conversion in comparable segments before attributing a change to load time.
Reviews, customer logos, and case studies can be tested near the call to action. For checkout funnels, show total cost clearly and assess its effect with a controlled comparison where possible.
Before acting on a test, calculate the required sample size from the baseline, minimum detectable effect, significance level, and power. A fixed conversion or visitor threshold cannot establish whether a result is reliable.
Use our free conversion rate calculator to compute your rate and explore how changes could affect acquisition cost. Review any built-in benchmark labels against the sourced definitions on this page.
Define the event, denominator, customer segment, and measurement window before comparing rates. Website-to-lead, trial-to-paid, and activation are different metrics and require separate reference sets.
Treat freemium, opt-in trials, and card-upfront trials as separate funnels. Compare cohort age, activation definition, billing requirement, and the conversion window alongside the conversion rate.
Use a dataset only when its sitewide event, product category, geography, device mix, and period match yours. Track your own conversion trend by channel and category alongside any external reference.
It varies by channel intent, offer, and attribution method. Compare channels using conversion, acquisition cost, activation, retention, and revenue from the same cohort rather than a conversion rate alone.
For a single conversion rate, choose the precision you need and report an interval around the estimate. For an A/B test, plan the sample using the baseline, improvement size, significance level, and power. There is no universal traffic threshold for either task.
Holding spend and traffic constant, more converted customers reduce the acquisition cost per customer. In practice, assess conversion changes with spend, traffic mix, activation, and retention because those inputs can move together.
Activation Rate Benchmarks 2026
Define activation for your product and compare cohorts using the same event and time window.
Churn Rate Benchmarks 2026
Measure churn with a consistent customer, revenue, and time-period definition.
SaaS Metrics Benchmarks 2026
Compare SaaS metrics only after aligning the definitions, cohort, and period.