Why Most Shopify Store Owners Track the Wrong Numbers
Revenue and order count are lagging indicators — they tell you what happened, not why or what to do next. The metrics that drive decisions are ratios and rates: conversion rate, acquisition cost, lifetime value. This guide covers the ten numbers that separate growing Shopify stores from stagnating ones, and exactly how to find them in your Shopify analytics dashboard.
1. Conversion Rate (CVR)
CVR = Orders / Sessions × 100. Find it in Shopify Analytics → Overview. Industry average for Shopify stores is 1.4–3.5%. If your CVR is below 1%, your priority is store optimisation before more traffic. If above 3%, prioritise scaling traffic. A 0.5% CVR improvement on 10,000 monthly sessions = 50 extra orders per month at no additional acquisition cost.
2. Average Order Value (AOV)
AOV = Total Revenue / Number of Orders. Track this monthly and by customer cohort (new vs returning). Cross-selling, bundling, and free shipping thresholds are your AOV levers. A £5 AOV increase on 500 orders/month = £2,500 additional monthly revenue with no new customer acquisition.
3. Customer Acquisition Cost (CAC)
CAC = Total Marketing Spend / New Customers Acquired. Shopify does not calculate this natively — pull marketing spend from your ad accounts and new customer count from Shopify reports. Benchmark: CAC should be less than one-third of Customer Lifetime Value. If CAC exceeds LTV, you are losing money on every customer.
4. Customer Lifetime Value (LTV)
LTV = AOV × Purchase Frequency × Customer Lifespan. Find purchase frequency and repeat customer rate in Shopify Analytics → Customers → Returning customers. A store with £50 AOV, 2.5 purchases per year, and a 3-year average customer lifespan has an LTV of £375. This number determines how much you can afford to spend acquiring each customer.
5. Return on Ad Spend (ROAS)
ROAS = Revenue from Ads / Ad Spend. Find this in your Meta or Google Ads dashboard. Minimum viable ROAS for most Shopify stores is 3x (£3 revenue per £1 spent). Profitable ROAS depends on your gross margin — a 70% margin store can sustain a lower ROAS than a 30% margin store. Calculate your break-even ROAS: 1 / Gross Margin.
6. Cart Abandonment Rate
In Shopify, go to Analytics → Reports → Checkout behaviour. Average cart abandonment is 70–75%. If yours is above 80%, investigate checkout friction: too many steps, no guest checkout, unexpected shipping costs at checkout, or limited payment methods. A 5% reduction in cart abandonment can increase revenue by 15–20% without any new traffic.
7. Email Revenue Share
What percentage of your revenue comes from email marketing? Find this in Klaviyo or your email platform’s attribution dashboard. Healthy benchmarks: 20–35% of total revenue from email for stores with established lists. If email contributes less than 15%, your flows and campaigns are underperforming — a fixable problem with better segmentation and automated flows.
8. Repeat Purchase Rate
Repeat Purchase Rate = Customers with 2+ orders / Total customers. Shopify reports this under Customers → Returning customers. A rate above 25% indicates strong product-market fit and retention. Below 15% suggests post-purchase experience issues or product quality problems. Subscription programmes, loyalty schemes, and post-purchase email sequences all drive this metric up.
9. Traffic Source Mix
Go to Analytics → Sessions by referrer. A healthy store has diversified traffic: organic search (30–40%), direct (15–20%), paid (20–30%), email (10–15%), social (10–15%). Over-dependence on any single channel (especially paid) creates fragility. A 20% Meta CPM increase or a Google algorithm update should not sink your business.
10. Gross Margin by Product
Shopify does not calculate margin automatically unless you input cost prices. Go to Products and add cost per item. Then run the Profit report under Analytics to see margin by product and collection. Promote your highest-margin products through paid ads. Deprioritise or reprice low-margin products that consume marketing budget without building a profitable customer base.
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