Most "top Shopify reports" lists are written for someone opening their first store. You already run the numbers. So this guide ranks the reports by how much they move profit for a store with real order volume and real ad spend, tells you exactly where each one goes blind, and shows you the calculation Shopify never does for you.
Good news first: you don't need to upgrade a plan to see these. Shopify's own analytics features are available on every subscription tier, according to First Pier's 2026 breakdown, so the old "custom reports require Advanced or Plus" advice is out of date. What still differs by plan is a short list of extras like predicted values. The reports below are in front of you today.
What makes a Shopify report "top" for an operator
A beginner wants reports that confirm sales are happening. You want reports that tell you where the money leaks. Those are different jobs.
The ranking here uses one test: how directly does this report change a decision that costs or makes you money this week? A report that tells you which product to kill beats a report that tells you yesterday's traffic. That is why the list below is not the same order you'll find on Shopify's reports guide or in the generic listicles.
The top Shopify reports, ranked by profit impact
1. Finances summary — your revenue-side scoreboard
The Finances summary is the closest Shopify gets to a P&L. It rolls up gross sales, discounts, returns, net sales, taxes, and shipping charged into one view across a date range.
Read it first every week because it frames every other number. If net sales dropped, you check discounts and returns here before you touch anything else. The catch: it stops at revenue. It does not subtract what your garments, printing, or fulfillment actually cost — so a strong "net sales" line can still sit on top of a losing month.
2. Sales by product and ABC analysis — find the products worth keeping
Sales by product ranks every SKU by units and revenue. Its more useful cousin, ABC analysis, grades products A, B, or C by contribution to sales — the A grade covers the top share of revenue, B the middle, and C the long tail, as StoreYA's breakdown of Shopify's grading describes.
For a print-on-demand catalog with dozens of designs, this is where you prune. Your C-grade designs still cost you ad budget and attention. The blind spot is the same one: ABC ranks by revenue, not margin, so a high-revenue A-grade tee on a thin blank can earn you less than a quiet B-grade product on a cheaper base.
3. Sales attributed to marketing — tie revenue to channels
This report connects sessions and orders back to the channel that drove them, so you can see what Meta, Google, email, and organic each returned. For an operator spending real money on ads, it's the difference between "sales are up" and "sales are up because the new Meta campaign is working."
Pair it with Sales by channel to compare storefronts. But remember the attribution trap: each ad platform grades its own homework and takes full credit for shared journeys, so the channel-level numbers usually overclaim. A blended read — total revenue over total ad spend — is the honest check, and it's one of the metrics a dedicated ecommerce performance analytics view exists to standardize.
4. First-time vs. returning customers — the retention tell
This report splits your revenue between new buyers and repeat buyers. It's the fastest signal of whether you're building a business or renting one from the ad platforms.
If nearly all of your revenue is first-time, your profit is hostage to acquisition cost. A rising returning-customer share means your lifetime value is climbing and you can afford to bid more to acquire. That dynamic — lifetime value against acquisition cost — is the single ratio that most often separates a store that can scale from one that can't.
5. Checkout and cart analysis — recover the near-misses
Cart and checkout reports show how many shoppers added to cart, started checkout, and finished. The gap is money sitting on the table.
Context matters here: the long-run average documented online cart abandonment rate is about seventy percent, per the Baymard Institute, so a high abandonment number alone isn't an emergency. What you're hunting for is a change in your own rate, or a step in the funnel that's worse than it was last month. That's a fixable leak — shipping cost shock, a slow mobile checkout, a required account.
The report Shopify never builds: true per-order profit
Here's the thread running through every report above. Shopify reports on revenue, sessions, and units. It does not know your Printify or Printful invoice, your Meta spend, your Klaviyo bill, or your payment processing fees — so it cannot tell you the only number that matters at the end of the day: what you actually keep per order.
Say you run a store doing 340 orders a month at a $31 average order value. That's $10,540 in revenue — a healthy-looking Finances summary. Now net it out per order:
| Line | Per order | Note |
|---|---|---|
| Revenue (AOV) | $31.00 | |
| − Product cost (blank + print) | −$13.00 | from your Printify invoice |
| − Shipping | −$4.50 | |
| − Payment fees (~3%) | −$0.93 | |
| = Contribution margin before ads | $12.57 | 40.5% of revenue |
| − Ad spend ($2,800 ÷ 340 orders) | −$8.24 | |
| = Profit per order after ads | $4.33 | 14% of revenue |
Those are illustrative numbers, but the shape is real: a store that looks like it's turning over ten grand a month is keeping about $1,472 before any fixed costs like software or your own time. None of that calculation is in a single Shopify report — you'd stitch it together from the Finances summary, your supplier dashboard, and three ad accounts by hand.
That stitching is also why your break-even on ads is higher than you think. On that 40.5% contribution margin, your break-even return on ad spend is 1 ÷ 0.405 = 2.47 — anything below roughly 2.5x ROAS is losing money before you've paid yourself, even though the ad platform will happily report a "profitable" 2.0x.
How operators close the gap
Three options, in order of effort. First, build a custom report or spreadsheet that imports costs — accurate, but you maintain it forever. Second, bolt on a profit-tracking app that pulls COGS and ad spend into a dashboard. Third, hand the whole job to something that watches the live data and acts on it.
That third path is where Victor comes in. PodVector AI's Victor is an AI employee for print-on-demand sellers — not a dashboard — that connects your Shopify store, Meta Ads, Google Ads, Printify, Printful, Gelato, and Klaviyo, and computes true per-order profit from that live data instead of leaving you to reconcile it. He can deliver the reports you'd otherwise build by hand straight to your Google Drive, and every write action he takes is approval-gated, so nothing changes in your store or ad accounts until you say yes.
If you want to understand how these pieces fit into a single operating picture, start with the ecommerce business intelligence hub, then see how a focused Shopify order dashboard surfaces the order-level detail the standard reports bury.
See your true per-order profit with Victor →
FAQs
Which Shopify reports should I check first every week?
Start with the Finances summary to frame net sales, discounts, and returns, then Sales attributed to marketing to confirm your ad spend is pulling its weight. Those two tell you within minutes whether the week was real growth or discounted volume. Everything else is diagnosis once you know the headline.
Do I need the Advanced or Plus plan to get the best reports?
No. Shopify's analytics and custom-report builder are available on every plan as of 2026, according to First Pier. A few extras like predicted values are gated to higher tiers, but the core reports in this guide — sales, marketing attribution, customers, and checkout analysis — are on Basic and up.
Why doesn't Shopify show my actual profit?
Because Shopify only sees what happens inside your store. It has no line of sight into your print supplier's invoice, your Meta and Google ad spend, or your email platform's bill, so it can report revenue but not the costs that turn revenue into profit. You have to bring those external numbers together yourself — which is exactly the reconciliation Victor automates by reading all of those connected accounts.
What's the difference between Sales by product and ABC analysis?
Sales by product lists every SKU with its units and revenue. ABC analysis goes a step further and grades products by their share of total sales, so you can see at a glance which designs are your A-grade earners and which are dead weight. Neither ranks by margin, so always sanity-check a top seller's product cost before you pour more ad budget into it.
How do custom reports help an operating store?
Native reports answer fixed questions; a custom report lets you ask your own — like contribution margin by product once you add cost columns, or new-customer revenue by campaign. They're powerful but manual, and they only pull Shopify data. For margin math that needs your supplier and ad costs, see how a metaobjects-based reporting setup extends what you can model, and treat profit reconciliation as a job better handled by a tool that reads every connected account.