Benchmark reference
Conversion rate benchmarks
Across all traffic, conversion rate medians cluster near 3.8% — but the figure that matters is the one for your channel, intent, and audience. Treat the numbers below as orientation, then compare against your own baseline.
What counts as a good conversion rate
As a single reference, the all-traffic median sits around 3.8%. Below roughly 3.2% generally signals weak efficiency — the constraint is the page, not the traffic. Between 3.2% and 4.0% is workable, where incremental testing pays off. Above 5.0% is strong for most acquisition channels, and scaling traffic compounds the result rather than masking a leak.
Benchmarks by channel and intent
Conversion rate moves with how much intent the traffic arrives with. Higher-intent visitors convert far above cold or broad traffic, so a fair comparison holds the channel constant.
| Context | Typical median |
|---|---|
| Ecommerce (all traffic) | 2.5–3.0% |
| Lead generation | 3.5–4.5% |
| Paid search landing pages | 3.8–5.0% |
| SaaS free-trial signup | 5.0–8.0% |
| High-ticket / considered purchase | 1.0–2.0% |
What shifts the baseline
Four forces explain most of the spread between these figures:
- Intent. Someone searching for your exact product converts many times higher than someone served a display ad.
- Device. Mobile typically converts below desktop for considered purchases, so a mobile-heavy mix lowers the blended rate.
- Price and consideration. Higher prices and longer decisions depress the immediate conversion rate, even when the funnel is healthy.
- Traffic source quality. Branded and referral traffic converts above cold prospecting, so channel mix moves the headline number.
How to use a benchmark correctly
A benchmark is a prompt, not a verdict. The most reliable comparison is your own historical rate for the same page and traffic — a number that is below the industry median but above your own last quarter is progress, while one above the median but below your trend is a regression worth investigating. Use the median to decide whether efficiency or traffic volume is your constraint, then optimize against your own baseline.
One number rarely tells the whole story. A conversion rate that rises while average order value or traffic quality falls can leave revenue flat. Read it alongside revenue per visitor and average order value before declaring a win.