E-commerce KPI Calculator:
Measure Your Store Performance

Enter your revenue, ad spend, orders and visitors — instantly calculate ROAS, CAC, conversion rate and 6 critical KPIs, compare with industry benchmarks.

6 KPI
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E-commerce KPI Dashboard

Enter your metrics, instantly see all KPIs and benchmark comparison.

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Understanding E-commerce KPIs

KPIs (Key Performance Indicators) are the vital metrics that show your store's health. Tracking the right KPIs helps you make data-driven decisions and identify growth opportunities.

KPIFormulaGoodWarning
ROASRevenue ÷ Ad Spend4×+<2×
Conversion RateOrders ÷ Visitors%2+<%1
AOVRevenue ÷ OrdersHighSector-dependent
CACAd Spend ÷ Orders<AOV×30%>AOV×50%
Ad Share(Ad Spend ÷ Revenue)×100%10-20>%35
Cost/VisitorAd Spend ÷ Visitors₺2-5>₺8

Frequently Asked Questions

What is ROAS and what should it be?+
ROAS (Return on Ad Spend) = Revenue / Ad Spend. A healthy e-commerce ROAS is typically 3-5x. However, the ideal ROAS depends on your product margins: low-margin products should target 5x+, while high-margin products can be profitable even at 2-3x.
How to increase conversion rate?+
1) Optimize product pages (quality images, detailed descriptions, social proof). 2) Simplify the checkout process. 3) Improve page speed. 4) Enhance mobile experience. 5) Add trust signals (return policy, secure payment logos). 6) Continuously optimize with A/B tests.
What is CAC and why does it matter?+
CAC (Customer Acquisition Cost) = Total Ad Spend / Number of New Customers. It should not exceed 20-40% of AOV. Rising CAC may signal that ad channels are saturating or targeting quality is declining.
What to do if ad share is too high?+
If ad share is 35%+: 1) Increase SEO and organic traffic investments. 2) Sell to existing customers via email/SMS marketing. 3) Increase conversion rate to get more orders with the same budget. 4) Apply AOV-boosting strategies (upsell, cross-sell, minimum cart value).
How often should these KPIs be tracked?+
ROAS and ad share daily/weekly, conversion rate and AOV weekly, CAC and visitor cost monthly. Work with at least 30 days of data to see trends. Consider seasonal fluctuations and compare year-over-year.

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