Loading...
Calculate conversion rate with industry-specific benchmarks. Free, no signup.
Purchases, signups, leads — whatever counts as success
Conversion rate
2.50%
125 conversions ÷ 5,000 visitors
Industry average
Healthy baseline. Incremental wins from copy, speed, and form fields can double this.
Conversion rate is the most honest measure of whether your traffic is working. It normalizes performance across campaigns of any size and is directly tied to cost efficiency — a 2x conversion-rate improvement effectively cuts your cost per acquisition in half.
| Category | Typical | Strong |
|---|---|---|
| Ecommerce (apparel) | 2–4% | 5%+ |
| Ecommerce (electronics) | 1.5–3% | 4%+ |
| SaaS landing page | 3–6% | 8%+ |
| B2B lead gen | 2–5% | 8%+ |
| Email opt-in | 5–10% | 15%+ |
| Free trial signup | 4–8% | 12%+ |
Engagement Rate Calculator
Calculate engagement rate with platform benchmarks.
Instagram Engagement Rate Calculator
Instagram-specific engagement rate with benchmarks.
TikTok Engagement Rate Calculator
TikTok engagement rate with creator benchmarks.
Influencer Rate Calculator
Fair per-post pricing by followers, engagement, and platform.
Percentage Increase Calculator
Instantly calculate % increase between two numbers.
ROI Calculator
Return on investment with formula and benchmarks.
Conversion Rate = (Conversions ÷ Visitors) × 100. A 'conversion' is whatever action you're optimizing for: a purchase, a signup, a lead form submission, an email subscription. Visitors is the total number of unique people (or sessions) who saw the page or ad.
Varies widely by category. Ecommerce sits at 2–4% average, SaaS landing pages 3–6%, B2B lead gen 2–5%, and email opt-ins 5–10%. Anything consistently above 2x your industry average is excellent — but traffic quality has a huge impact on these numbers.
Three most common causes: traffic-page mismatch (wrong audience for the offer), high friction in the conversion path (slow load, too many form fields, confusing CTA), or unclear value proposition. Low-intent traffic inflates visitor counts without converting, which tanks the rate.
Depends on your goal. For paid campaigns, use sessions (one session per ad click). For organic or SEO, unique visitors is more meaningful because many sessions belong to the same returning user. Be consistent so trends are comparable.
For A/B testing, aim for at least 1,000 conversions per variant to detect a ~20% lift with confidence. With less than ~300 conversions, day-to-day variance can hide even large real improvements.
Fastest wins are usually: clearer above-the-fold value proposition, fewer form fields (each one drops conversion ~5–10%), page load speed under 2.5 seconds, mobile-specific design checks, and stronger social proof near the CTA. A/B test one change at a time so you can attribute the lift.
