What is Ecommerce Store Performance?
Ecommerce Store Performance measures how an online store compares against industry averages across 8 core commercial metrics: conversion rate, average order value, cart abandonment rate, return rate, traffic source mix, email revenue percentage, repeat purchase rate, and mobile conversion rate. Together these dimensions capture the commercial health of the store, revenue efficiency, customer loyalty, and operational performance, rather than relying on any single vanity metric.
The Formula
Formula
Store Performance Score = Weighted average of 8 metrics each compared to industry ecommerce benchmarks = Score out of 100
Worked Example
Worked example
A mid-sized fashion ecommerce store with $800,000 annual revenue benchmarks itself against industry ecommerce averages from the Shopify Commerce Trends Report.
- 01Conversion rate: 1.2% vs fashion average 2.8%, significantly underperforming
- 02Average order value: $48 vs fashion average $65, below average but in range
- 03Cart abandonment: 76% vs average 70%, above average (worse than average)
- 04Email revenue share: 9% vs top-performer 30%, major channel underinvestment
- 05Mobile conversion rate: 0.7% vs average 1.2%, very weak mobile experience
Result
The store is leaving substantial revenue on the table despite having decent traffic. Lifting conversion rate from 1.2% to the fashion average of 2.8% would more than double revenue with no change in traffic, and closing the email gap alone would add $150,000+ in high-margin revenue. The benchmark pinpoints three specific fixes, product page optimization, cart abandonment flows, and mobile experience, that compound to change the economics of the entire business.
Why This Matters
Revenue optimization
Conversion rate is the single highest-leverage metric in ecommerce. Shopify Commerce Trends data shows the difference between a top-quartile store and an average store is typically 2-3x conversion rate for identical traffic and product, meaning revenue, margin, and cash flow are often determined more by execution than by marketing spend or product choice.
Marketing efficiency
Without a benchmark, stores often over-invest in the wrong channels. Email revenue share alone separates high-performing stores (25-35%) from average stores (around 15%), yet costs almost nothing in paid ad terms. Benchmarking reveals where marketing ROI is being left on the table and where additional spend would actually deliver incremental revenue.
Operational insight
Metrics like return rate, cart abandonment, and repeat purchase rate expose operational issues that revenue alone hides. A store with high revenue but high return rates is burning margin; one with strong conversion but low repeat rates has a retention problem. Benchmarking makes these hidden issues visible before they become structural.
Common Mistakes
Comparing to the wrong industry
A fashion store comparing itself to grocery averages will conclude it is underperforming when in fact it is in line with its category. Conversion rates, AOV, repeat rate, and abandonment rate vary massively by category, always benchmark against your specific sector, not ecommerce as a whole.
Ignoring mobile separately
Mobile conversion rates are typically 40-60% lower than desktop rates, yet most stores report a blended figure that hides the gap. With over 70% of ecommerce traffic now mobile, measuring and benchmarking mobile conversion separately is the only way to catch and fix mobile-specific issues.
Not tracking repeat purchase rate
Many stores focus exclusively on acquisition metrics and never measure repeat rate. Yet repeat buyers cost almost nothing to win and generate disproportionate profit. Without tracking repeat rate, stores cannot tell whether their retention is improving or whether lifetime value is actually growing.
Industry Benchmarks
Source: Shopify Commerce Trends Report