What Is a Good Conversion Rate for a BigCommerce Store?

What counts as a good BigCommerce conversion rate?

A good conversion rate for a BigCommerce store falls between 1% and 3%. Stores performing in the top quartile convert at 3–5%, and anything consistently above 5% is exceptional by any standard. The overall e-commerce industry average hovers around 1.5–2%.

But here's what most benchmark articles won't tell you: a 1.2% conversion rate in fine jewellery - where average order values exceed $500 - is a far stronger business outcome than a 4% rate in a low-margin accessories store. The raw number tells only part of the story.

BigCommerce conversion rate benchmarks by industry

Industry vertical is the single biggest variable in conversion benchmarks. Here's how stores typically perform across categories:

Industry	Typical range	Top quartile
Health & beauty	2.5–4%	5%+
Fashion & apparel	1.5–3%	4%+
Home & garden	1.5–2.5%	3.5%+
Electronics	0.8–1.5%	2.5%+
Food & beverage	2–4%	6%+
Jewellery & luxury	0.6–1.2%	2%+
B2B / wholesale	1–2%	3%+

Electronics and jewellery consistently show lower rates - not because those stores underperform, but because buyers do significantly more research before committing to high-consideration purchases. Always benchmark yourself against your own vertical, not the blended industry average.

How to calculate your BigCommerce conversion rate

Your conversion rate is straightforward to calculate:

Conversion rate = (Total orders ÷ Total sessions) × 100

For example: if your store had 8,000 sessions last month and 120 completed orders, your conversion rate is (120 ÷ 8,000) × 100 = 1.5%.

In BigCommerce, find this in your admin panel under Analytics → Store Overview. For a granular breakdown by traffic source, device type, or product category, a dedicated analytics tool gives you the segmented view you need to act on the data - not just read it. Chartsy's BigCommerce integration surfaces conversion rate by segment automatically, so you can see exactly where you're losing buyers at a glance.

One pattern that comes up repeatedly: stores that segment their conversion rate by device find mobile converting at roughly half the rate of desktop. If you're only looking at the blended average, you're potentially masking a significant mobile UX problem.

Why your conversion rate might be below the benchmark

Before you try to fix your rate, diagnose the actual cause. These are the most common culprits:

Traffic mismatch: Cold paid traffic converts far lower than organic or email traffic. If you've recently scaled ad spend, your blended rate will drop even if the checkout experience is perfect.
Checkout friction: Every extra step costs conversions. Guest checkout and single-page checkout meaningfully reduce drop-off at the most critical moment.
Product page gaps: Missing reviews, vague descriptions, or insufficient imagery send buyers back to search results before they ever add to cart.
Slow mobile load time: If your store takes more than 3 seconds to load on mobile, you're losing a significant share of visitors before they engage with a single product.
Missing trust signals: Stores without a visible return policy, security badges, or customer reviews consistently convert lower than those with strong trust infrastructure above the fold.

6 ways to improve your BigCommerce conversion rate

Enable one-page checkout. Reducing checkout steps is consistently the single highest-impact change a store can make. BigCommerce has this built in - make sure it's activated in your store settings.
Add urgency and social proof to product pages. Real-time stock counts ("Only 4 left"), recent purchase notifications, and verified review totals reduce purchase hesitation at the moment it matters most.
Fix your mobile experience first. Compress images, reduce redirects, and test your checkout flow on a real mobile device - not just a browser emulator. What looks fine on desktop often breaks on a 375px screen.
Introduce exit-intent offers. A 10% discount or free shipping trigger shown when a visitor is about to leave can recover 5–10% of abandoning sessions with minimal margin impact.
Segment your analytics by traffic source. Your email list and organic visitors likely convert at 2–4× the rate of cold paid traffic. Don't let a scaling ad budget hide a high-performing organic channel in your blended numbers.
Run structured A/B tests on CTAs and product imagery. Button copy, hero image style, and price presentation all affect conversion - only testing tells you which change moves the needle for your specific audience.

Conversion rate vs. revenue per visitor: the metric that matters more

Here's an insight most CRO guides skip entirely: conversion rate is a vanity metric if you don't pair it with revenue per visitor (RPV).

RPV = Average order value × Conversion rate.

A store converting at 1% with a $400 AOV generates $4 per visitor. A store converting at 4% with an $80 AOV generates $3.20 per visitor. The lower-converting store is actually more valuable per session.

This is why obsessing over benchmark numbers without factoring in your AOV and product category can lead you to optimise for the wrong thing entirely. The goal is more revenue per visitor - not a higher conversion number in isolation.

Quick reference: conversion rate health check

Before making any changes, run through this checklist:

Calculate your current rate: orders ÷ sessions × 100
Compare against your industry vertical - not the generic average
Segment by device - a large mobile vs desktop gap reveals UX issues
Segment by traffic source - identify your highest-converting channel
Audit checkout steps - remove every unnecessary field and page
Review mobile load time - target under 2.5 seconds
Check trust signals - return policy, reviews, and security badges visible above the fold
Track revenue per visitor alongside conversion rate

Your conversion rate is a symptom, not the disease. The benchmarks above give you a starting point, but the real work is understanding why visitors leave without buying - and systematically closing those gaps. Start with your analytics, segment by device and source, and fix the highest-friction points first. The stores that improve most consistently aren't running more tests - they're reading their data more carefully.

Frequently asked questions

What is the average conversion rate for a BigCommerce store?

The average BigCommerce store converts between 1% and 2% of visitors into buyers. Top-performing stores in niches like health and beauty or food and beverage can reach 4–6%, while high-consideration categories like electronics or jewellery typically sit below 1.5%.

How do I find my conversion rate in BigCommerce?

Go to your BigCommerce admin and navigate to Analytics → Store Overview. Your conversion rate is shown as a percentage of sessions that resulted in a completed order. For segmentation by device, channel, or product, a third-party analytics tool gives you the breakdown you need to act.

Why is my BigCommerce conversion rate so low?

The most common causes are traffic mismatch (cold paid traffic converts far lower than email or organic), checkout friction, weak product pages, and slow mobile load times. Diagnose by segmenting your rate by traffic source and device first - the blended average often hides where the real problem sits.

Is a 2% conversion rate good for e-commerce?

Yes - 2% is at or above the industry average for most e-commerce categories. Whether it's good for your specific store depends on your niche and average order value. A 2% rate with a high AOV often outperforms a 4% rate with a low AOV in actual revenue generated per visitor.

What is the fastest way to improve conversion rate on BigCommerce?

Enable one-page checkout if you haven't already - this is typically the single highest-impact change. After that, fix mobile load time, add trust signals above the fold, and segment your analytics to identify which traffic source is dragging your blended average down.

Does conversion rate differ between mobile and desktop on BigCommerce?

Significantly. Mobile typically converts at 50–70% the rate of desktop across e-commerce. If your blended rate looks acceptable but you haven't checked the mobile vs desktop split, you may be masking a serious mobile UX problem that's suppressing overall store revenue.

Written by the Chartsy analytics team. Chartsy is a BigCommerce analytics platform that helps e-commerce stores track, segment, and act on their most important metrics - including conversion rate, revenue per visitor, and customer lifetime value.