Article
Conversion Rate Benchmarks by Industry and Funnel Stage
kissmetrics.io
Quoted on this wiki
Every place a page here uses this source, in the order the words come in it.
“Conversion rate itself is conversions divided by sessions, times 100.” Those are directional, not targets. Traffic source mix moves a conversion rate more than almost anything else on this page: a site where most traffic is branded search will convert several times higher than an identical site fed by cold paid social. Price point, device mix, and how strictly you define a conversion move it too. A benchmark tells you whether you are in a plausible range, not whether you are performing well.
The headline conversion rate benchmarks: e-commerce sites convert 2-3% of sessions into purchases, SaaS sites convert 2-5% of visitors into free trial signups, those trials convert to paid at 15-25%, and B2B landing pages convert 2-5% of visitors into leads. Conversion rate itself is conversions divided by sessions, times 100. “Traffic source mix moves a conversion rate more than almost anything else on this page” Which raises the question this article has to settle. If the variance inside a benchmark is larger than the distance between benchmarks, what is the number actually good for, what would have to replace it, and how would you know the replacement was any better?
The headline conversion rate benchmarks: e-commerce sites convert 2-3% of sessions into purchases, SaaS sites convert 2-5% of visitors into free trial signups, those trials convert to paid at 15-25%, and B2B landing pages convert 2-5% of visitors into leads. Conversion rate itself is conversions divided by sessions, times 100. “a site where most traffic is branded search will convert several times higher than an identical site fed by cold paid social” Which raises the question this article has to settle. If the variance inside a benchmark is larger than the distance between benchmarks, what is the number actually good for, what would have to replace it, and how would you know the replacement was any better?
The headline conversion rate benchmarks: e-commerce sites convert 2-3% of sessions into purchases, SaaS sites convert 2-5% of visitors into free trial signups, those trials convert to paid at 15-25%, and B2B landing pages convert 2-5% of visitors into leads. Conversion rate itself is conversions divided by sessions, times 100. “Price point, device mix, and how strictly you define a conversion move it too.” Which raises the question this article has to settle. If the variance inside a benchmark is larger than the distance between benchmarks, what is the number actually good for, what would have to replace it, and how would you know the replacement was any better?
The headline conversion rate benchmarks: e-commerce sites convert 2-3% of sessions into purchases, SaaS sites convert 2-5% of visitors into free trial signups, those trials convert to paid at 15-25%, and B2B landing pages convert 2-5% of visitors into leads. Conversion rate itself is conversions divided by sessions, times 100. “A benchmark tells you whether you are in a plausible range, not whether you are performing well.” Which raises the question this article has to settle. If the variance inside a benchmark is larger than the distance between benchmarks, what is the number actually good for, what would have to replace it, and how would you know the replacement was any better?
“SaaS sites convert 2-5% of visitors into free trial signups” Those are directional, not targets. Traffic source mix moves a conversion rate more than almost anything else on this page: a site where most traffic is branded search will convert several times higher than an identical site fed by cold paid social. Price point, device mix, and how strictly you define a conversion move it too. A benchmark tells you whether you are in a plausible range, not whether you are performing well.
“those trials convert to paid at 15-25%” Those are directional, not targets. Traffic source mix moves a conversion rate more than almost anything else on this page: a site where most traffic is branded search will convert several times higher than an identical site fed by cold paid social. Price point, device mix, and how strictly you define a conversion move it too. A benchmark tells you whether you are in a plausible range, not whether you are performing well.
“B2B landing pages convert 2-5% of visitors into leads” Those are directional, not targets. Traffic source mix moves a conversion rate more than almost anything else on this page: a site where most traffic is branded search will convert several times higher than an identical site fed by cold paid social. Price point, device mix, and how strictly you define a conversion move it too. A benchmark tells you whether you are in a plausible range, not whether you are performing well.
The headline conversion rate benchmarks: e-commerce sites convert 2-3% of sessions into purchases, SaaS sites convert 2-5% of visitors into free trial signups, those trials convert to paid at 15-25%, and B2B landing pages convert 2-5% of visitors into leads. Conversion rate itself is conversions divided by sessions, times 100. “Those are directional, not targets.” Which raises the question this article has to settle. If the variance inside a benchmark is larger than the distance between benchmarks, what is the number actually good for, what would have to replace it, and how would you know the replacement was any better?
I.What a benchmark can honestly tell you “The spread inside each one is wider than the gap between them” A.The ranges, and what actually generates them