What Is Shopify Analytics and Why It Matters
Shopify’s built-in analytics and reporting tools give store owners access to the data that drives smart business decisions — sales performance, customer behavior, traffic sources, and product performance. Unlike third-party analytics that require complex setup and integration, Shopify Analytics is connected directly to your store’s transaction data, giving you accurate revenue, conversion, and customer metrics from day one.
This guide covers every major Shopify analytics report, how to interpret the data, and how to use insights to improve your store’s performance.
Accessing Shopify Analytics
Shopify Analytics is available from your Shopify Admin at Analytics → Overview. The analytics interface includes:
- Overview dashboard — key metrics at a glance (total sales, orders, sessions, conversion rate)
- Reports — detailed breakdowns across all performance dimensions
- Live View — real-time activity showing current visitors, orders, and location data
Access level varies by plan: Basic Shopify includes standard reports (sales, visitors, orders). Shopify (mid-tier) adds more detailed customer behavior reports. Advanced Shopify and Plus include custom report building and full access to all available reports. Some analytics features require connection to Google Analytics 4.
Understanding the Overview Dashboard
The Overview dashboard shows 13 key metrics for your selected date range:
- Total sales — gross sales minus discounts minus returns. Your primary revenue number.
- Online store sessions — total visits to your store. Note: one visitor can generate multiple sessions.
- Returning customer rate — percentage of orders from customers who’ve purchased before. Higher is better; indicates you’re building loyalty.
- Online store conversion rate — percentage of sessions that result in a purchase. Industry average is 1-3%; 3-5% is good; above 5% is excellent.
- Average order value — total sales divided by order count. Key metric for bundle and upsell strategy.
- Total orders — count of completed orders in the period.
Sales Reports: What to Look For
Navigate to Analytics → Reports → Sales for detailed sales breakdowns:
- Sales by product — which products are generating the most revenue? Which are underperforming vs. catalog space they occupy? High-performing products deserve featured placement and marketing investment; consistently underperforming products may need price adjustment, better photography, or removal from your active catalog.
- Sales by variant — within a product, which sizes/colors/configurations sell? Inventory planning depends on this data — if the medium blue sells 5x the large red, your reorder ratios should reflect that.
- Sales by channel — how much revenue comes from online store vs. Point of Sale vs. social selling channels? Informs channel investment decisions.
- Sales by traffic source — what percentage of revenue comes from organic search vs. paid ads vs. social vs. email? This report is how you allocate marketing budget — channels that deliver revenue deserve more investment; channels that drive sessions without conversions need strategy adjustment.
Customer Reports: Understanding Your Buyers
Navigate to Analytics → Reports → Customers:
- Customers over time — how many new customers are you acquiring vs. returning customers ordering again? Healthy stores show growth in both, but returning customer trends tell you about loyalty.
- Returning customers — customers who’ve made 2+ purchases. This report identifies your most loyal buyers — fertile ground for loyalty program targeting.
- Customer cohorts — groups customers by their first purchase date and shows how their purchasing behavior evolves over time. Cohort analysis answers “Are customers who joined in Q4 2024 buying again at higher rates than Q4 2023 customers?” It measures the quality of your customer acquisition.
- Customers by location — geographic revenue breakdown. Informs shipping strategy (add faster shipping options for top revenue countries), marketing geo-targeting, and international market investment decisions.
- At-risk customers (Advanced/Plus) — customers who haven’t purchased in longer than their typical cycle. Prime target for win-back campaigns in Klaviyo.
Traffic and Behavior Reports
Navigate to Analytics → Reports → Acquisition and Behavior:
- Sessions by traffic source — which marketing channels drive the most traffic? Compare with sales by traffic source to see which channels drive quality traffic (converting to sales) vs. vanity traffic (high sessions, low conversion).
- Sessions by device type — what percentage of your traffic is mobile vs. desktop? If 75% mobile with a lower-than-expected conversion rate, mobile UX optimization is your priority.
- Top landing pages — which pages do visitors enter your store on? Homepage is often not the top landing page — blog posts, collection pages, and product pages that rank in search all serve as store entry points. Poor landing pages (high bounce rate) are conversion bottlenecks.
- Top search queries (from Shopify Search) — what do customers search for within your store? High-volume searches with few results indicate product catalog gaps; high-volume searches for existing products indicate those products need better discoverability in navigation.
Inventory Reports
Navigate to Analytics → Reports → Inventory:
- Days inventory remaining — at current sell-through rate, how many days until a product runs out of stock? Critical for reorder planning; products at risk of stockout lose sales when demand exceeds supply.
- Percent of inventory sold — what percentage of starting inventory has sold? High percentage indicates strong demand; low percentage after significant time suggests overstock or slow-moving product that may need promotion to clear.
- Month-end inventory snapshot — inventory value at month end. Useful for accounting and understanding capital tied up in inventory.
Setting Up Google Analytics 4 Integration
Shopify’s native analytics is transaction-accurate but limited in behavioral depth. Google Analytics 4 adds:
- Full user journey tracking (which pages a specific session visited before purchasing)
- Detailed acquisition source data with UTM parameter tracking
- Custom event tracking for specific interactions (add to cart, wishlist, video views)
- Funnel visualization (where customers drop off in the purchase journey)
- Audience building for Google Ads retargeting
To connect: Online Store → Preferences → Google Analytics — paste your GA4 Measurement ID. For full e-commerce event tracking (purchase, add to cart, checkout steps), also install the Google & YouTube app from the Shopify App Store, which handles GA4 e-commerce event setup automatically.
Creating Custom Reports
Available on Advanced Shopify and Plus, custom reports let you create reports combining dimensions and metrics that aren’t available in standard reports. To create: Analytics → Reports → Create custom report.
Useful custom reports:
- Sales by product + customer geography (which products sell to which countries)
- Average order value by marketing channel (do email buyers or paid search buyers spend more?)
- Repeat purchase rate by product category (which category creates the most loyal customers?)
- Refund rate by product (which products have the highest return rate — potential quality or expectation issues)
Key Metrics to Track Weekly
Weekly analytics review habit: same metrics, every week, same day. Tracking the direction of metrics matters more than any individual week’s numbers. Key weekly metrics:
- Online store conversion rate (trending up or down?)
- Average order value (are bundles and upsells working?)
- Sessions by traffic source (is paid traffic ROI-positive? Is organic growing?)
- Returning customer rate (is loyalty improving?)
- Revenue by product (any unexpected winners or losers?)
Frequently Asked Questions
What’s a good conversion rate for a Shopify store?
The average Shopify store conversion rate is 1.4%. Good performance is generally considered 2-3% for cold traffic stores. Well-optimized stores with warm audiences (email lists, retargeting) can reach 4-8%. Your conversion rate benchmark should compare against your own historical data (are you trending up?) and your specific niche, not a universal average — some categories (luxury goods, high-consideration purchases) inherently convert lower than impulse-buy categories.
Why does my Shopify sales data differ from Google Analytics revenue data?
Small discrepancies are normal and expected. Shopify tracks actual completed transactions from its payment processing. GA4 tracks browser events, which can be lost if a customer blocks JavaScript, uses an ad blocker, or closes the browser before the purchase event fires. Shopify is the authoritative source for actual revenue; GA4 is authoritative for user behavior and session data. A 5-10% discrepancy is typical; larger discrepancies may indicate GA4 implementation issues.
How do I track Klaviyo email revenue in Shopify Analytics?
Klaviyo passes UTM parameters on email links (utm_source=klaviyo, utm_medium=email, utm_campaign=name). These UTM parameters appear in Shopify’s “Sessions by traffic source” and “Sales by traffic source” reports, attributing email-driven sessions and revenue to the Klaviyo channel. Ensure Klaviyo UTM tracking is enabled in your Klaviyo account settings. Note that Klaviyo’s own revenue attribution may differ slightly from Shopify’s due to attribution window differences.
What does the “checkout abandonment” rate tell me?
Checkout abandonment rate = percentage of customers who start checkout but don’t complete it. Average checkout abandonment is 69-75%. High checkout abandonment indicates friction in your checkout flow: unexpected shipping costs (most common), required account creation, too many checkout steps, limited payment options, or trust signal absence. Shopify’s abandoned checkout recovery and Klaviyo’s abandonment flows can recover 10-15% of abandoned checkouts with reminder emails.
Should I use Shopify Analytics or Google Analytics as my primary analytics tool?
Use both — they serve different purposes. Shopify Analytics for revenue, order, and customer data (it’s directly connected to your financial data, so it’s authoritative for business metrics). Google Analytics 4 for user behavior, traffic source details, funnel analysis, and audience building for advertising. Review Shopify Analytics for weekly business performance; use GA4 for marketing channel optimization and conversion rate improvement work.
Final Thoughts
Shopify’s analytics and reports give store owners the data to make informed decisions about every aspect of their business — from which products to reorder to which marketing channels to invest in. A weekly review habit that tracks the same 5-7 key metrics creates the baseline understanding to spot opportunities and catch problems before they compound. Pair Shopify Analytics with Google Analytics 4 and Klaviyo revenue reporting for a complete performance picture.
For more on optimizing your Shopify store’s performance, explore our guides on Shopify SEO, email marketing analytics, and landing page optimization.
