Ecommerce reporting is the process of turning raw store data into structured outputs that teams can act on. It creates dashboards and summaries tied to specific business questions, like “Why did conversion rates drop last week?” or “Which markets drove the most revenue last quarter?”
US retail ecommerce sales totaled an estimated $1.23 trillion in 2025, up 5.4% from the prior year, according to the US Census Bureau. That scale of transactions generates useful data for store owners who want to capitalize on ecommerce growth, but data silos form when information is trapped in systems that don’t communicate reliably. Supermetrics’ 2026 study found 36% of teams lack the systems integration that enables them to activate their data.
This guide covers which ecommerce reports matter, how to structure reviews, and why unified reporting becomes essential once you’re operating across multiple sales channels or markets.
What is ecommerce reporting?
Ecommerce reporting is the structured collection and presentation of sales, customer, product, marketing, and operational data. It tells every team what’s working well, and what needs attention.
Ecommerce reports cover:
- Products
- Orders
- Customers
- Acquisition
- Checkout
- Returns
- Channel performance
Shopify’s unified commerce platform brings these metrics into one core data model. It powers Shopify Analytics, the built-in reporting layer that lets you monitor ecommerce performance without manually stitching together basic commerce data.
Shopify Analytics includes more than 60 ready-made dashboards, with the option to customize views across behavior, customers, sales, marketing, and acquisition.
Ecommerce reports vs. analytics vs. attribution
Ecommerce reporting tells you what happened, analytics tells you why, and attribution tells you the cause or source of the issue:
| Terms | What it tells you | Example |
|---|---|---|
| Reporting | What happened | Revenue was down 12% last Tuesday |
| Analytics | Why it happened | Conversion dropped the Add to Cart button below the fold on mobile |
| Attribution | What caused it | A site update impacted product page layout |
Why ecommerce reporting matters
Ecommerce reporting turns raw data into business decisions around merchandising, customer acquisition cost (CAC) efficiency, inventory risk, and customer retention.
Good reporting helps you:
- Monitor sales velocity, margin, and channel performance in one view, so performance changes become clear before they compound
- Identify which acquisition channels produce customers with the highest lifetime value
- Spot products trending toward stockout or excess before they inflate costs
- Understand how promotions and discounts affect revenue
- Compare retention rates across customer cohorts, channels, and regions to identify where repeat purchase behavior is strongest
- Track checkout and funnel reports to pinpoint where revenue is being lost before a marketing campaign goes live
For omnichannel brands, reporting gets more useful when orders, customers, inventory, and point-of-sale (POS) activity share a common system and aren’t spread across separate business tools.
Take Sea Bags, which operated nearly 50 retail locations on fragmented systems with separate data silos, operational inefficiencies, and limited visibility across channels.
After consolidating onto Shopify, platform fees dropped by more than $70,000 in the first year, and Shopify email capture at checkout drove an average of 1,200 new customer emails per week in-store, with a 47% opt-in rate—all connected to a single customer profile.
This unified customer data meant the marketing team could reach a segment of their customer base that fragmented systems had made invisible.
“We can now track and understand our customers across both retail and online—something we couldn’t do before,” says Brian Deerwester, VP of strategic planning and analysis at Seabags. “It’s streamlined our operations, cut costs, and given us the insights we needed all along. It’s one of the best decisions we’ve made for the future of this business.”
Important ecommerce reports to track
The metrics to include on an ecommerce report depend on the report’s context and which questions you’re trying to answer:
| Ecommerce report | Metrics to track | Why it matters | Reporting cadence |
|---|---|---|---|
| Sales and revenue | Gross sales, net sales, AOV, units per transaction, discount impact, and sales by product/category/channel | Shows revenue growth after discounts and returns are accounted for | Daily (topline); weekly (full breakdown) |
| Conversion and checkout | Conversion rate, add-to-cart rate, cart abandonment, checkout completion, checkout drop-off by step, and device splits | Identifies where revenue is being lost and what friction is causing it | Daily (anomaly monitoring); weekly (funnel review) |
| Customer reports | New vs. returning ratio, repeat purchase rate, CLV, retention cohorts, purchase frequency | Tracks whether you’re acquiring customers worth keeping, not just those who buy once | Weekly (new/returning); monthly (CLV, cohorts) |
| Marketing and acquisition | Sessions by channel, CAC, ROAS, blended efficiency, email/SMS contribution, channel-to-conversion paths | Shows whether acquisition spend is producing customers with long-term value | Daily (campaign pacing); weekly (channel performance) |
| Product and inventory | Bestsellers by revenue and margin, sell-through rate, inventory turnover, stockouts, category performance, return rate by SKU | Highlights where the catalog is creating margin risk, working capital drag, or customer experience problems | Daily (stockout flags); weekly (turnover and levels) |
| Returns and post-purchase | Return rate by SKU, return reasons, refund value, return rate by channel and acquisition source | Connects return patterns to product content, sizing, and quality issues | Weekly (rate by SKU); monthly (reasons and trends) |
Sales and revenue reports
Sales reports answer the most direct operating question: whether the business is generating more revenue than it did before, at margins that support growth. The answer influences pricing, promotions, merchandising, and channel investment decisions.
Metrics to track in this type of ecommerce report include:
- Gross sales
- Net sales
- Average order value
- Units per transaction
- Discount impact
- Sales by product, category, and channel
No sales metric should be read in isolation; net sales, discounting, and margin context matter.
Consider a retailer running a sitewide 20% promotion. Gross sales for the week climbed 35%, which looks strong on the dashboard. Once discounts are stripped out, net sales are only up 6%.
Units per transaction are flat, suggesting the promotion didn’t drive larger baskets. And because the highest-volume stock keeping units (SKUs) during the event were also the brand’s lowest-margin products, gross margin for the week is down. The promotion moved inventory but it didn’t increase profits.
Shopify’s sales analytics and performance reports help you draw these comparisons. Track gross sales, net sales, discounts, AOV, and product-level margin across the same time period without manually reconciling exports from separate tools.
Conversion and checkout reports
Baymard found the average ecommerce site has 32 checkout improvements available, with a potential 35% increase in conversion through better checkout UX. Use conversion and checkout reports to pinpoint areas of friction for your site, then prioritize them for testing.
Metrics to track in this ecommerce report include:
- Conversion rate
- Add-to-cart rate
- Cart abandonment rate
- Checkout completion
- Device splits
- Checkout drop-off
AMR Hair & Beauty had persistent checkout abandonment on their previous WooCommerce platform, but couldn’t locate the source of friction. The platform couldn’t provide the data and analytics required to inform decision-making, resulting in abandoned carts and lost revenue.
After migrating to Shopify, they used ShopifyQL Notebooks to query and visualize checkout performance data, optimizing the checkout process in response to those friction points.
Combined with improved page load times, business-to-business search improvements, and a customizable checkout, AMR Hair & Beauty recorded 93% year-over-year conversion rate increase and a 200% sales growth.
“We’re tracking the performance of our website and based on that we will tweak the cart/checkout page,” says founder Ammar Issa. “We couldn’t do that with our old platform.”
Customer reports
Customer reports help you understand not just who bought once, but who came back, how often, how much they spent across their lifetime, and whether the ecommerce marketing channels and campaigns driving acquisition are producing customers who stay.
“One of the biggest things that we’re getting into is targeting our customer now that we know who’s buying, what time they are buying,” Earl Cooper, founder of Eastside Golf, said on Shopify Masters. “All that data just becomes informative to where it allows you to scale your company.”
Include these metrics in your customer report:
- New versus returning customers
- Repeat customer rate
- Customer lifetime value (CLV)
- Retention cohorts
- Purchase frequency
Shopify builds a unified customer profile each time someone shares their email address or phone number with your business. First-party data you collect—through your website, email marketing platform, or customer loyalty program—feeds back to this profile, which powers Shopify Analytics.
Children’s clothing brand Rylee + Cru used Shopify Analytics’ unified customer data to track acquisition by channel, compare lifetime value between online and in-store shoppers, and analyze cross-channel behavior.
The result was better visibility into which customers were stickiest and how retail affected long-term value. Rylee + Cru also maintained 25% to 30% year-over-year ecommerce growth for five consecutive years, and doubled the share of customers buying across multiple brands.
“Shopify’s flexibility has been huge for us in being able to build an experience very unique to our brand while keeping all our data unified,” says Sam Larson, chief revenue officer of Rylee + Cru.
Marketing and acquisition reports
Marketing and acquisition reports show how you acquire customers and the cost associated with them. It’s a challenge shared across the board: TripleWhale’s 2026 data shows cost per acquisition through paid ads is up 8.64% from 2024.
To analyze your marketing strategy, build an ecommerce report that includes:
- Sessions
- Website traffic by channel
- Customer acquisition costs
- Return on ad spend (ROAS)
- Blended efficiency
- Email/SMS contribution
- Channel-to-conversion paths
Marketing reports are most useful when they go beyond clicks and impressions to revenue quality. For example, a customer acquired through organic search may convert at a lower rate than one acquired through paid social, but if their 12-month CLV is 40% higher, the paid channel is underperforming on the metric that actually matters.
Liquid I.V. experienced this firsthand. They discovered rising CAC across more than 20 platforms, then shifted budget and added Shop Campaigns into the mix. This gave them a new way to acquire customers at a controlled cost.
With Shop Campaigns, Liquid I.V. reduced CAC by over 40%. Customers acquired through that channel were twice as likely to repurchase compared to those from other marketing platforms.
Product and inventory reports
Product reports sit at the intersection of merchandising and finance. They answer questions that a sales dashboard or a profit and loss report can answer alone: which products are driving profitable revenue, which are consuming working capital without generating returns, and where is the catalog creating operational drag that isn’t visible in topline numbers?
Metrics to track in a product and inventory report include:
- Bestsellers
- Low-sell-through SKUs
- Inventory turnover
- Stockouts
- Category performance
- Return-heavy products
Venezia FC expanded from ecommerce into three physical stores and a network of pop-up locations. Maintaining accurate, real-time inventory across multiple channels became a significant operational challenge.
After upgrading to Shopify, advanced analytics provided centralized inventory control across the warehouse and retail locations, and demand forecasting automatically calculated stock requirements per location based on forecasted sales. The result was two full inventory management days recovered per week.
Returns and post-purchase reports
Return volume is increasing alongside customers’ expectations: the National Retail Federation (NRF) reports that 19.3% of online sales were expected to be returned in 2025, and 82% of consumers say free returns are important when shopping online.
Monitor your ecommerce strategy with return reports that include:
- Return rate
- Return reasons
- Refund rate
- Exchange behavior
- Customer service impact
Take Maggy London, a US fashion brand managing six labels with a four-person ecommerce team. They use Shopify Sidekick as the primary tool to pull and interpret sales data.
When return rates on certain products spiked, the team pulled detailed return reasons directly from Loop, giving the design team clear feedback on fit, fabric, and sizing issues that didn’t show up in high-level reporting.
The result was a direct line from sales and returns data to product decisions. Weekly reporting time dropped by more than 80%, from three to four hours to around 20 to 30 minutes.
“I view Sidekick almost like an additional team member because I’m able to maintain running conversations and keep historical context,” says Sara Bako, president of Maggy London. “I’ll ask it a question, get the answer, and then go three layers deeper based on what I see.”
How to build an ecommerce reporting system
Once you know what type of report you’re building, here’s how to configure an ecommerce reporting system that retrieves the data you need:
1. Start with business goals, not tools
Before choosing a dashboard or defining a metric, identify the two or three questions your ecommerce business most needs to answer right now. Are you trying to understand why retention is declining? Identify which channels are producing profitable customers? Get earlier visibility into inventory risk before it becomes a stockout?
2. Map metrics to owners
For each key metric, assign a team or business function responsible for reviewing it, interpreting it, and acting on it. Here’s what that might look like:
- Growth: Sessions, conversion rate, CAC by channel, ROAS, email and SMS contribution.
- Merchandising: Bestsellers, sell-through rate, return rate by SKU, category performance, and inventory turnover.
- Operations: Inventory levels, stockouts, fulfillment speed, and return processing time.
- Finance: Net revenue, gross margin, discount impact, refund rate, and working capital tied to inventory.
- Leadership: Total revenue, CLV trends, retention rate, blended acquisition efficiency, and market-level performance.
Some metrics will be shared across functions. Finance and merchandising will both care about merchandising, for example. What matters is that at least one function is accountable for acting on each metric.
3. Set reporting cadences
Review frequency should match the rate at which a metric changes and the speed a decision needs to be made:
- Daily: Orders, sales, site issues, and inventory flags.
- Weekly: Channel performance, conversion data, campaign efficiency, and returns.
- Monthly: CLV, retention, cohort trends, margin, and merchandising patterns.
4. Tie every report to a likely action
Before any report goes into regular rotation, define likely causes and any actions it should trigger. For example:
| Report signal | Causes to investigate | Likely action |
|---|---|---|
| Checkout completion rate drops on mobile | Payment method coverage, shipping speed, page load speed, or form friction | Pull step-level checkout drop-off by device to locate where in the flow users are leaving |
| Return rate spikes on a specific SKU | Misleading product description, sizing issue, or photography gap | Pull return reason data. If the top reason is “not as described,” for example, the fix is content |
| CAC rises week-over-week while ROAS holds | Channel mix shift toward higher-cost channels, or same channels deliver lower-quality customers | Compare CAC by channel and check whether new customer cohort quality (repeat rate, CLV) has also changed |
5. Use AI to dig deeper
Shopify can help reduce reporting delays by letting teams use AI to surface answers faster from unified commerce data, especially when common questions would otherwise require spreadsheet work or analyst time.
Here’s how retailers are already using Sidekick to save time:
- SNOCKS cut reporting times by 98% with Sidekick (from 30 minutes to a few seconds per query) with finance, sales, logistics, and creative teams given direct, independent access to unified data.
- Decathlon found reporting became at least 50% quicker with ShopifyQL Notebooks, which let the team compare year-over-year performance, combine key KPIs, and avoid juggling multiple tabs and exports.
- Jaded London had multiple analytics requests per week taking hours; with Sidekick, the team now saves 10 to 15 hours weekly and answers reporting questions conversationally.
What to look for in ecommerce reporting tools
Before committing to an ecommerce reporting software, check your shortlist against this feature set:
- Unified data sources. The tool should be able to pull from your storefront, ad platforms, email, and POS into a single view, without manual exports or separate reconciliation.
- Flexible dimensions and filters. Check that you can segment analytics reports by date range, channel, product, customer type, or geography.
- Custom dashboards. Can teams build and save views tailored to their function, without relying on a developer or analyst to create them?
- Drill-down capability. A revenue drop should be traceable from total sales down to channel, product, and SKU level within the same reporting tool.
- Shareability for teams. Choose a tool that supports shared reports across functions, scheduled for automated delivery, or exported for stakeholders who don’t have platform access.
- Speed and ease of use. The interface shouldn’t need significant technical knowledge to navigate for standard reporting tasks.
- Reliability of underlying commerce data. Check any data the tool surfaces matches the source of truth in your ecommerce platform.
Shopify Analytics sits inside the commerce platform and has direct access to orders, products, customers, and channels. It works for both a quick daily check of key metrics and a more detailed investigation when something needs to be understood at a granular level, without requiring a switch to a separate platform.
If you need extra functionality, Shopify can integrate with third-party reporting apps and business intelligence tools.
Ecommerce reporting mistakes
Having a reporting system is not the same as having a useful one. The most common mistakes in ecommerce reporting include:
- Tracking too many KPIs. When every function tracks a different set of numbers, no one agrees on what’s performing and what isn’t. Prioritize fewer, better dashboards instead of dozens of disconnected reports.
- Reviewing metrics without context. A conversion rate of 2% means nothing without knowing what it was last week, last month, and on the same date last year.
- Failing to segment. A flat overall conversion rate can conceal a mobile conversion rate that’s declining while desktop holds. Segment data by channel, device, cohort, and customer type to dig deeper.
- Treating reporting as monthly hindsight. A report reviewed once a month is a post-mortem. By the time the data reaches a decision-maker, the campaign has already run, the stockout has already happened, and the checkout issue has already cost three weeks of conversion.
- Using disconnected systems that force manual reconciliation. Konditor said reporting had previously required pulling data from two platforms and combining it manually. After moving to Shopify, the team had a single sales reporting source and easier access to actionable insights. They now spend 50% less time on admin tasks.
Ecommerce reporting FAQ
What metrics should an ecommerce report include?
The metrics to include in an ecommerce report depend on the context and questions you’re trying to answer. If you’re analyzing sales, for example, include metrics like:
- Conversion rate
- Gross sales
- Net sales
- Average order value
- Units per transaction
- Discount redemption
- Sales by product, category, and channel
What is the difference between ecommerce reporting and ecommerce analytics?
Ecommerce reporting tells you what happened across a defined period. Ecommerce analytics is the process of investigating why it happened and what to do about it.
How often should ecommerce reports be reviewed?
Review cadence depends on the metric. Inventory and order reports need daily visibility, while customer retention and margin trends might be checked monthly.
Can Shopify handle ecommerce reporting on its own?
Shopify can handle ecommerce reporting through Shopify Analytics, which pulls unified data from every sales channel into a centralized reporting platform. View data on more than 60 prebuilt templates or build your own with the Sidekick AI assistant.
