Most Shopify store owners either ignore their analytics entirely or stare at page views without knowing what to do with the data. The goal of analytics is not to feel good about traffic numbers — it is to identify what is working, what is not, and where to invest next. These 8 metrics give you that clarity.
1. Conversion Rate
Your conversion rate (percentage of visitors who make a purchase) is the single most important metric for your store’s health. Find it in Shopify Analytics → Overview. Industry average is 1.5 to 3%. If yours is below 1%, your product pages, pricing, or trust signals need attention. If it drops suddenly, check for: a theme change, a new app breaking checkout, or a product page update that removed trust signals.
2. Average Order Value (AOV)
AOV is total revenue divided by number of orders. Increasing your AOV by 20% is often easier than increasing traffic by 20%. Tactics that increase AOV: product bundles, minimum order free shipping thresholds, upsell offers at cart, and “Frequently Bought Together” recommendations using apps like Frequently Bought Together.
3. Repeat Purchase Rate
What percentage of your customers buy more than once? Find this in Shopify Analytics → Customers → Returning customer rate. A healthy repeat rate for consumable products is 30 to 50%. For higher-ticket items it can be lower. A rising repeat rate means your product and post-purchase experience are excellent. A flat or falling rate means your customer retention needs attention — invest in loyalty programmes and email marketing.
4. Customer Acquisition Cost (CAC)
CAC is how much you spend in marketing to acquire one new customer. Calculate it by dividing your total marketing spend for a period by the number of new customers acquired. If you spend ₹50,000 in ads and get 200 new customers, your CAC is ₹250. Compare this to your AOV and repeat purchase rate to determine whether your acquisition economics are sustainable. If CAC is higher than AOV, you are losing money on new customers.
5. Cart Abandonment Rate
Your cart abandonment rate (visible in Shopify Analytics → Behaviour) shows what percentage of visitors who add to cart do not complete purchase. Industry average is around 70 to 75%. Higher than 80% suggests checkout friction (unexpected shipping costs, forced account creation, payment method limitations). Improving this metric by 10% with a better checkout experience or abandoned cart emails can add significant monthly revenue.
6. Traffic Source Breakdown
In Shopify Analytics → Acquisition, you can see what percentage of traffic comes from: organic search, paid ads, social media, direct, and referrals. This tells you where to invest. If organic search is growing, double down on SEO. If social media sends high-traffic but low-conversion visitors, your landing experience for social traffic needs work. If direct traffic (people typing your URL directly) is growing, your brand awareness efforts are working.
7. Product Performance — Which Products Actually Sell
In Shopify Analytics → Products by sales, sort products by revenue and by units sold. Identify your top 20% of products that generate 80% of revenue (this ratio is remarkably consistent across stores). These are your hero products — invest in better photography, more reviews, featured placement on your homepage, and higher ad budgets for these specifically. Stop investing in products that have been live for 90+ days and have not sold.
8. Customer Lifetime Value (LTV)
LTV is the total revenue a customer generates across all their purchases. Calculate it as: AOV × average purchases per year × average customer lifespan in years. LTV tells you how much you can afford to spend acquiring a customer. If a customer is worth ₹3,000 over their lifetime, spending ₹500 to acquire them is a very good investment. Increasing LTV through repeat purchase programmes and product line expansion is often the highest-leverage growth lever for established stores.
OneOnic builds Shopify stores with analytics tracking and measurement set up correctly from day one. See our Shopify work or contact us to discuss your store’s analytics setup.
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