Conversion Rate Calculator
Sessions, conversions and revenue, get CR, RPV and what a small uplift would actually do to revenue.
| Uplift | New CR | New revenue | Gain |
|---|---|---|---|
| +0.10 pp | 2.60% | $85,176 | +$3,276 |
| +0.25 pp | 2.75% | $90,090 | +$8,190 |
| +0.50 pp | 3.00% | $98,280 | +$16,380 |
| +1.00 pp | 3.50% | $114,660 | +$32,760 |
About this tool
Conversion rate is the single most useful KPI in ecommerce, and the easiest to model uplift on. This tool calculates CR, revenue-per-visitor and projects how a +0.1, +0.5 or +1.0 percentage-point uplift would translate to monthly revenue.
Where to look for uplift
- • Product page: hero image quality, above-the-fold CTA, social proof, sticky add-to-cart, ship-by promise
- • Cart drawer: low-cost cross-sell, free shipping progress bar, urgency cues
- • Checkout: remove fields, surface payment options, reassure on returns
- • Mobile: usually has half the CR of desktop — biggest leverage point for most stores
Don't chase CR for its own sake
A discount popup will lift CR but drop AOV and margin. The right metric to optimise is revenue-per-visitor (RPV) — the combination of CR and AOV. CR alone is misleading.
Frequently asked questions
What's a good ecommerce conversion rate? +
D2C average is 1.5%-3%. Top-quartile stores hit 4%+. Apparel runs lower (1-2%); supplements and consumables run higher (3-5%). Mobile is consistently half of desktop, if your mobile CR is closer to 1%, that's your biggest CRO opportunity.
How do I increase my conversion rate? +
Highest-ROI levers: cut checkout friction (Shop Pay, Apple Pay, fewer fields), surface trust signals (reviews, returns policy, security badges), reduce surprise costs (transparent shipping before checkout), use urgency sparingly (low stock, sale ending), and split-test PDP hero sections.
Why is CR alone misleading? +
A discount popup will lift CR but drop AOV and margin. The metric that actually correlates with revenue is RPV (Revenue Per Visitor), CR × AOV. Optimise for RPV, not CR in isolation.
How much traffic do I need before CR is statistically meaningful? +
For period-over-period CR comparison, at least 1,000 sessions per period. For A/B testing a CR change, use our A/B Test Sample Size Calculator, it depends on your baseline and the size of the lift you want to detect.
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