What is a good conversion rate?
Real benchmarks by industry and channel — and why the same site converts at wildly different rates depending on where the traffic comes from.
"Is my conversion rate good?" is one of the most-Googled marketing questions, and the honest answer is: it depends entirely on your industry, traffic source, and what you count as a conversion. A 2% rate can be excellent or terrible depending on context.
This guide gives real benchmarks by industry and channel, explains why the number varies so much, and shows how to improve yours.
First: what counts as a conversion?
Before comparing to any benchmark, be clear what you're measuring. "Conversion rate" can mean very different things:
- Purchase conversion rate — visitors who buy. The strictest definition, lowest numbers.
- Lead conversion rate — visitors who submit a form or sign up. Higher than purchase.
- Add-to-cart rate — visitors who start a purchase. Higher still.
- Email signup rate — visitors who join a list. Often the highest.
Comparing your lead rate to someone else's purchase rate is meaningless. Match the definition before you compare.
E-commerce benchmarks
For online stores measuring purchase conversion rate:
- Under 1% — below average; worth investigating traffic quality and checkout friction
- 1-2% — typical for most e-commerce
- 2-3% — good, above the median
- 3-5%+ — excellent, usually strong brands or highly targeted traffic
The global e-commerce average sits around 2-3%, but this hides huge variation. Fashion and apparel often run 1.5-2.5%; consumer electronics 1-2%; health and beauty can hit 3-4%.
SaaS and lead-gen benchmarks
- SaaS free-trial signup: 2-5% of visitors, with 15-25% of trials converting to paid
- B2B lead-gen form: 2-5% of visitors typically
- Landing pages (focused, single-offer): 5-15%, sometimes higher for well-matched paid traffic
Why traffic source changes everything
The same site converts at wildly different rates depending on where the visitor came from:
- Branded search (people searching your name) — highest intent, often 3-5x your average
- Email to existing subscribers — very high, they already know you
- Non-branded search — moderate, depends on keyword intent
- Paid social (cold) — lowest, interrupting people who weren't looking
- Display / programmatic — usually the lowest of all
This is why a blended site-wide conversion rate is almost useless for decisions. Segment by source before judging.
How a small conversion-rate gain compounds
Conversion rate is a multiplier on everything. If you're paying for traffic, lifting conversion rate directly lowers your effective cost per acquisition without touching your bids.
Example: you spend $1,000 driving 2,000 visitors. At 2% conversion, that's 40 conversions = $25 CPA. Lift conversion to 3% and you get 60 conversions = $16.67 CPA — a 33% cost reduction from a one-point conversion gain, with zero extra ad spend.
Run your own numbers with the conversion rate calculator and see the CPA effect in the CPA calculator.
The biggest conversion levers
If your rate is below benchmark, the usual culprits, in rough order of impact:
- Traffic-offer mismatch — you're sending the wrong people. The single biggest factor. Fix targeting before touching the page.
- Page speed — every second of load time measurably drops conversion. Mobile especially.
- Checkout/form friction — too many fields, forced account creation, surprise shipping costs at the end.
- Unclear value proposition — visitor can't tell in 5 seconds what you offer and why it's better.
- Weak or missing trust signals — reviews, guarantees, security badges, clear returns policy.
- No clear call to action — the next step isn't obvious.
Don't over-optimize a small sample
One genuine warning: if you're getting 200 visitors a week, you do not have enough data to make confident conversion-rate decisions. A jump from 2% to 3% on 200 visitors is 4 conversions vs 6 — well within random noise. You need hundreds of conversions, not hundreds of visitors, before A/B test results mean anything. Chasing conversion-rate changes on thin data is how people talk themselves into bad decisions.
Conversion rate benchmarks by industry, at a glance
| Industry | Typical purchase CVR | What moves it |
|---|---|---|
| Fashion & apparel | 1.5-2.5% | Return rate expectations, sizing uncertainty suppress conversion |
| Consumer electronics | 1-2% | Higher price points mean more research before purchase |
| Health & beauty | 3-4% | Repeat-purchase, subscription-friendly category |
| B2B SaaS free trial | 2-5% | Of those, 15-25% typically convert trial to paid |
| B2B lead-gen form | 2-5% | Form length and field count are the biggest levers |
| Focused landing page | 5-15%+ | Single offer, matched traffic — the best-case scenario |
These are directional ranges, not guarantees — the "why traffic source changes everything" section above matters more than which industry row you're in. A fashion brand running 90% branded-search traffic will beat these ranges; the same brand running 90% cold paid social will fall well short of them, regardless of what the product category typically converts at.
How to read your own number against these benchmarks
Three questions to ask before deciding your rate is "bad": First, does your definition of conversion match the benchmark's definition — are you comparing purchase rate to purchase rate, or accidentally comparing your add-to-cart rate against someone else's purchase rate? Second, is your traffic mix comparable — a benchmark built on blended traffic across all sources tells you little if your traffic is 80% cold paid social. Third, do you have enough volume to trust the number at all — see the sample-size warning above. Getting these three right before reacting to a benchmark comparison prevents most of the bad optimization decisions this kind of number-chasing tends to produce.
Related calculators
- Conversion rate calculator — your CVR plus industry benchmarks
- CPA calculator — how conversion rate flows into cost per acquisition
- ROAS calculator — return on ad spend and target ROAS
- CTR calculator — the click-through step before conversion
- LTV:CAC ratio calculator — whether your unit economics support paid growth