Quick summary
The ten Shopify metrics that drive growth decisions are conversion rate, AOV, repeat purchase rate, customer acquisition cost, returning customer rate, email revenue as a percentage of total, abandoned cart recovery rate, mobile versus desktop conversion gap, top products by revenue, and first-purchase-to-second-purchase time. Track these weekly in Shopify Analytics and set a baseline before optimising anything.
You have access to dozens of reports in Shopify Analytics, but staring at dashboards is not the same as understanding your business. Most merchants either check revenue daily and ignore everything else, or drown in data without knowing which numbers to act on. The metrics that matter for growth are specific, actionable, and far fewer than you think. Tracking the right five to ten metrics weekly gives you a clearer picture than monitoring fifty metrics monthly.
What are the most important Shopify metrics for a growing store?
These ten metrics, split across four categories, give you a complete view of your store's health and growth trajectory. Track them weekly, review trends monthly, and act on anything moving in the wrong direction.
Revenue metrics
1. Revenue (total and by channel)
This is the obvious one, but break it down by channel: organic, paid, email, direct, social. Knowing your total revenue is useful. Knowing that 60 percent comes from paid ads and only 10 percent from organic tells you where the risk and opportunity sit.
Find this in Shopify Analytics, then Reports, then Sales by traffic source.
2. Average order value (AOV)
AOV is total revenue divided by number of orders. It tells you how much each customer spends per transaction. Increasing AOV by 10 percent has the same revenue impact as increasing traffic by 10 percent, but it is usually cheaper and easier.
UK ecommerce AOV benchmark: £80 to £120 for most retail categories. Fashion tends to be lower (£55 to £75), home and furniture higher (£120 to £200).
Find this in Shopify Analytics, then Reports, then Average order value over time.
3. Revenue per visitor
Total revenue divided by total sessions. This combines your conversion rate and AOV into a single metric that tells you how much each visitor is worth. It is particularly useful for evaluating whether site changes are making a net positive impact.
Calculate manually or use Google Analytics 4 ecommerce reports.
Conversion metrics
4. Conversion rate
The percentage of visitors who complete a purchase. This is the single most important metric for understanding your store's effectiveness.
Shopify benchmark: The average Shopify conversion rate is 1.3 to 1.5 percent. Stores above 2.5 percent are performing well. Above 3.5 percent is excellent. If you are below 1 percent, there are likely significant issues with your site experience, pricing, or traffic quality.
Find this in Shopify Analytics on the main dashboard. For more granular data (by device, by traffic source), use GA4.
5. Cart abandonment rate
The percentage of customers who add items to their cart but do not complete checkout. The global average is around 70 percent. If yours is significantly higher, there are specific friction points to investigate: unexpected shipping costs, mandatory account creation, limited payment options.
Find this in Shopify Analytics, then Reports, then Abandoned checkouts.
6. Add-to-cart rate
The percentage of sessions where at least one item was added to the cart. This tells you whether your product pages are doing their job. If traffic is strong but add-to-cart rate is low, the problem is product presentation, pricing, or product-market fit.
Benchmark: 8 to 12 percent is healthy. Below 5 percent suggests product page issues.
Find this by dividing total "add to cart" events by total sessions in GA4.
Customer metrics
7. Customer acquisition cost (CAC)
Total marketing spend divided by the number of new customers acquired. If you are spending £20 to acquire a customer who spends £25 with a 40 percent margin, you are making £10 before acquisition costs and losing £10 after them.
CAC must be lower than your customer's first-order profit for the acquisition channel to be sustainable. If it is not, you need higher AOV, better margins, or stronger repeat purchase rates to make the maths work.
Calculate manually: Total ad spend for the month divided by new customers acquired that month.
8. Customer lifetime value (CLV)
Average order value multiplied by average purchase frequency multiplied by average customer lifespan. CLV tells you how much a customer is worth over their entire relationship with your brand.
Why it matters: A store with a £20 CAC and a £25 first-order value looks unprofitable. But if CLV is £150, that £20 acquisition cost is an excellent investment.
Shopify benchmark: A CLV to CAC ratio of 3:1 or higher is healthy. Below 2:1 means you are spending too much to acquire customers who do not return enough value.
Find basic customer data in Shopify Analytics, then Customers, then Returning customer rate. For full CLV calculation, use Klaviyo's customer analytics or a dedicated tool like Lifetimely.
9. Repeat purchase rate
The percentage of customers who make more than one purchase. This measures your retention effectiveness.
Benchmark: 20 to 30 percent is average for ecommerce. Above 35 percent indicates strong customer loyalty. Below 15 percent means you have a retention problem.
Find this in Shopify Analytics, then Customers, then Returning customer rate.
Marketing metrics
10. Return on ad spend (ROAS)
Revenue generated divided by ad spend. A ROAS of 4x means you are earning £4 for every £1 spent on advertising.
Benchmark: A ROAS of 3x to 5x is healthy for most ecommerce brands. Below 2x is usually unprofitable after accounting for product costs and overheads. Above 6x is excellent but may indicate you are under-investing in growth.
Find this in your advertising platform (Meta Ads Manager, Google Ads) or aggregate across channels manually.
How do you set up Shopify reporting properly?
Step 1: Configure Shopify Analytics
Shopify's built-in analytics cover the basics. Ensure your store's time zone and currency are correct in Settings, then General. Then familiarise yourself with the key reports.
| Report | Location | What It Shows |
|---|---|---|
| Overview dashboard | Analytics, then Dashboard | High-level metrics: sessions, orders, revenue, conversion rate |
| Sales by product | Analytics, then Reports | Which products drive the most revenue |
| Sales by traffic source | Analytics, then Reports | Where your revenue comes from |
| Customers over time | Analytics, then Reports | New vs returning customer trends |
| Top landing pages | Analytics, then Reports | Which pages attract the most traffic |
Step 2: Set up Google Analytics 4
GA4 provides deeper insights than Shopify's native analytics, especially for understanding user behaviour, multi-channel attribution, and conversion funnels.
- Create a GA4 property in your Google Analytics account.
- Install the Google Sales Channel in Shopify or add the GA4 tag manually to your theme.
- Enable ecommerce tracking to capture product views, add-to-cart events, checkout steps, and purchases.
- Set up conversion goals for key actions beyond purchases: email sign-ups, account creation, wishlist additions.
Step 3: Build a weekly dashboard
You do not need a fancy BI tool. A simple spreadsheet tracking your top ten metrics weekly is enough for most stores.
| Metric | Week 1 | Week 2 | Week 3 | Week 4 | Monthly Trend |
|---|---|---|---|---|---|
| Revenue | |||||
| Sessions | |||||
| Conversion rate | |||||
| AOV | |||||
| Add-to-cart rate | |||||
| Cart abandonment rate | |||||
| New customers | |||||
| Repeat purchase rate | |||||
| CAC | |||||
| ROAS |
Fill this in every Monday. After a month, trends become visible. After a quarter, you have actionable data to guide strategy decisions.
Which Shopify reporting tools are worth the investment?
| Tool | What It Does | Pricing | Best For |
|---|---|---|---|
| Shopify Analytics | Built-in reports and dashboards | Included | Day-to-day monitoring |
| Google Analytics 4 | Detailed user behaviour and multi-channel attribution | Free | Understanding customer journeys |
| Lifetimely | Customer lifetime value analysis, cohort reports | From $34/month | Understanding long-term customer value |
| Triple Whale | Profit tracking, attribution, creative analytics | From $100/month | Stores spending heavily on paid ads |
| Google Looker Studio | Custom dashboards pulling from multiple data sources | Free | Combining Shopify, GA4, and ad data in one view |
For most stores, Shopify Analytics plus GA4 plus a simple spreadsheet is sufficient. Add Lifetimely when you want to understand CLV and cohort behaviour in depth. Add Triple Whale when your monthly ad spend exceeds £5,000 and attribution accuracy becomes critical for budget allocation.
What reporting mistakes do Shopify merchants make?
Obsessing over vanity metrics
Sessions, page views, and social media followers feel good but do not directly drive revenue. A store getting 100,000 sessions with a 0.5 percent conversion rate performs worse than one getting 30,000 sessions at 2.5 percent.
Ignoring mobile vs desktop performance
Your overall conversion rate might look healthy, but if mobile converts at 0.8 percent and desktop at 3.5 percent, you have a mobile experience problem that the aggregate number hides. Always segment by device.
Not accounting for attribution lag
A customer who clicks your ad on Monday and buys on Thursday may be attributed differently across platforms. Google says the sale came from organic, Meta says it came from an ad. Neither is fully accurate. Use consistent attribution windows and accept that no system is perfect.
Checking metrics too frequently
Checking revenue hourly creates anxiety and reactive decision-making. Weekly is the right cadence for most metrics. Daily checks should be limited to revenue and any active campaign performance.
Key actions to take now
- Set up GA4 with ecommerce tracking if you have not already. This is free and essential.
- Create a weekly spreadsheet tracking your top ten metrics. Fill it in every Monday morning.
- Calculate your current CAC and CLV. If your CLV to CAC ratio is below 3:1, focus on retention before increasing ad spend.
- Segment your conversion rate by device. If mobile is significantly lower, prioritise mobile UX improvements.
- Review your sales by traffic source report. If more than 50 percent of revenue comes from paid ads, your organic and email channels need attention.
- Set benchmarks based on your current performance and aim for incremental monthly improvement rather than dramatic shifts.
- Schedule a monthly review where you analyse trends across all four metric categories and decide on one to three actions for the coming month.
Reporting setup and weekly tracking is entirely a business-owner task. No developer needed. Where specialist help adds value is setting up custom GA4 event tracking, building advanced Looker Studio dashboards that combine data from Shopify, GA4, and advertising platforms, and implementing server-side tracking for more accurate attribution as browser privacy features reduce client-side tracking reliability.
Frequently Asked Questions
What is a good conversion rate for a Shopify store in the UK?
The average Shopify conversion rate sits between 1.3 and 1.5 percent. Stores above 2.5 percent are performing well, and above 3.5 percent is excellent. If your store is below 1 percent, the most common causes are mismatched traffic quality, unclear pricing, or friction in the checkout experience.
How do I calculate customer lifetime value for my Shopify store?
Multiply your average order value by your average purchase frequency, then multiply by your average customer lifespan in years. Shopify's built-in analytics show returning customer rate and average order value. For full CLV analysis and cohort reporting, tools like Lifetimely (from $34 per month) do the calculation automatically from your Shopify data.
Which Shopify analytics reports should I check every week?
Focus on five: revenue by traffic source, conversion rate by device, add-to-cart rate, cart abandonment rate, and returning customer rate. These give you a complete view of where customers are coming from, where they drop off, and whether your retention is working. Everything else can be reviewed monthly.
What does a healthy CLV to CAC ratio look like for Shopify stores?
A ratio of 3:1 or higher is considered healthy: for every £1 spent acquiring a customer, you should generate £3 or more in lifetime value. Below 2:1 means you are spending too much relative to the return, and the priority should shift to improving repeat purchase rates and average order value before increasing acquisition spend.