Conversion Rate by Industry
Conversion rates vary 5x across e-commerce verticals. Use industry-specific benchmarks — not the 2-3% all-industry average — to judge whether your store is actually under-performing.
Conversion Rate by Industry
Conversion rate benchmarks segmented by retail vertical so you compare your store against its actual peer set, not a global average.
Conversion rate by industry breaks the headline conversion rate metric down by vertical — fashion, beauty, electronics, home goods, food and drink, and so on — because each category has a structurally different buying motion. A €40 mascara doesn't convert at the same rate as a €1,200 sofa, and pretending they do flattens out the signal you need to act on.
The all-industry average sits around 2-3%, but the realistic range stretches from under 1% for high-consideration furniture to 6%+ for habit-driven CPG and beauty refills. Benchmarking against your vertical tells you whether your funnel is genuinely under-performing or just operating in a slower-converting category.
The single biggest mistake operators make with conversion rate is comparing themselves to the wrong reference point. A 1.8% rate on a furniture store is healthy. The same 1.8% on a beauty refill store is a five-alarm fire. Same number, opposite diagnosis.
What drives the spread between verticals is mostly average order value, purchase frequency, and decision complexity. High-AOV categories convert lower because buyers research longer and visit more often before committing. Low-AOV, habit-driven categories convert higher because the buyer already knows what they want.
Conversion Rate = (Orders / Sessions) × 100
Orders
Completed orders
Successful transactions in the period, post-refund and excluding test orders.
Sessions
Sessions
Unique visit sessions in the same period, deduplicated by visitor where possible.
A mid-sized Shopify beauty store running on €40 AOV looks at last month's data.
Orders: 4,200
Sessions: 120,000
→ 3.5%
3.5% sits right in the middle of the beauty benchmark range (2.8-4.5%). Healthy, but with room to push toward the top quartile through checkout optimisation and returning-customer flows.
Use the table below as a sanity check, not a target. The right benchmark for your store is your own trailing 90-day median, segmented by traffic source — paid social converts differently from organic search, and both differ from email. The industry range tells you whether you're playing on easy mode or hard mode.
E-commerce conversion rate ranges by vertical (desktop + mobile blended)
| Vertical | Typical AOV | Bottom quartile | Median | Top quartile |
|---|---|---|---|---|
| Beauty & cosmetics | €35-€60 | 1.8% | 2.9% | 4.5% |
| Food & drink (CPG) | €25-€50 | 2.2% | 3.4% | 5.2% |
| Health & supplements | €40-€80 | 1.6% | 2.7% | 4.1% |
| Fashion & apparel | €60-€120 | 1.1% | 1.9% | 3.0% |
| Footwear | €80-€140 | 1.0% | 1.7% | 2.6% |
| Pet supplies | €30-€60 | 1.9% | 3.0% | 4.4% |
| Home & garden | €80-€180 | 0.7% | 1.4% | 2.3% |
| Electronics & gadgets | €120-€350 | 0.6% | 1.2% | 2.1% |
| Jewellery | €150-€400 | 0.5% | 1.0% | 1.8% |
| Furniture | €400-€1,500 | 0.3% | 0.7% | 1.4% |
Two patterns are worth noting. First, the spread between bottom and top quartile within a vertical is usually 2-3x — meaning operational quality matters more than category choice. Second, mobile rates run roughly 40-50% below desktop in every vertical, so a blended number can mask a mobile checkout problem worth fixing this quarter.
Frequently asked questions
It depends entirely on your vertical and AOV. A good benchmark is the median for your category — 2.9% for beauty, 1.9% for fashion, 1.2% for electronics, 0.7% for furniture. If you're above the median for your vertical, you're doing well; below the bottom quartile means there's a structural problem worth diagnosing.
The commonly cited 2-3% figure blends together categories with five-fold differences in buying behaviour. A furniture store comparing itself to that average will think it's failing when it's actually healthy, and a beauty store will think it's winning when it's underperforming peers. Always benchmark within vertical.
Habit-driven, low-AOV verticals lead — food and drink CPG, beauty refills, and pet supplies regularly hit 3-5% median rates. These categories benefit from repeat-purchase behaviour and short decision cycles, so a large share of sessions are returning customers who came to reorder.
High-AOV, high-consideration categories — furniture, jewellery, and high-end electronics typically sit below 1.5% median. Buyers in these verticals visit multiple times across days or weeks before purchasing, so most sessions are research rather than buy-intent.
Mobile converts roughly 40-50% lower than desktop across every vertical, with the gap widest in high-AOV categories (furniture, jewellery) where buyers want larger screens to evaluate. For low-AOV beauty and CPG, the gap can narrow to 20-30% because the buying decision is faster and one-tap checkout matters more.
After industry, the highest-signal segments are traffic source (paid social vs organic vs email), device, new vs returning visitor, and product category within your catalogue. Email and direct typically convert 3-5x higher than paid social, so a blended rate hides the channels that are actually working.
In year one, aim for the bottom quartile of your vertical and grow toward median by month 12-18. New stores have a higher share of cold paid traffic and no returning-customer base, both of which depress the headline number. Focus on returning-visitor rate as the leading indicator.
Standard reporting counts the order at checkout completion, before refund. For categories with high return rates — fashion at 20-30%, footwear at 25-35% — you should also track a net conversion rate after returns, because the gross number flatters your apparent performance.
Refresh your benchmark quarterly. Vertical-level rates drift with seasonality, macroeconomic conditions, and shifts in paid-traffic mix. A rate that was median last summer may now be top quartile if the category cooled, or vice versa.
Overall conversion rate is your store's single blended number — useful for tracking your own trend over time. Conversion rate by industry adds the reference frame: it tells you whether that number is good, average, or weak relative to peers in your specific category. You need both.
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