If you already run a store with real order volume and real ad spend, you do not need another number that tells you sales were up. You need the one number Shopify's dashboard hides: what you actually kept. This guide shows how to automate a daily report that answers that — and why most of the "daily sales report" setups on the market stop one metric short.
Why Shopify won't just email you a daily report
Shopify's analytics are available on every plan, and you can build and save custom reports from the Reports page, per Shopify's own documentation. What the platform does not do is push those reports to you on a schedule. There is no native "email me a daily sales report at 7am" toggle.
That gap is why the Shopify App Store is full of report-scheduling apps. It is also why the term "automatic daily reports shopify" is searched at all — the automation has to come from somewhere other than Shopify itself.
But the deeper problem is not delivery. It is content. Shopify's sales report is a revenue report. It does not know your product cost, your Meta and Google spend, your shipping, or your payment fees. So even a perfectly scheduled daily email can tell you revenue climbed on a day you actually lost money.
What a daily report should contain for an operator
A useful daily report answers three questions in order: How much did I sell? How much did I keep? Where did the money leak? Revenue-only reports answer the first and stop.
Here is the difference on a single average order. Say you run a POD apparel store at a $40 average order value. Your blank plus print plus the supplier's base fulfillment charge runs $16. Carrier shipping is $5, your processor takes four percent ($1.60), and pick-and-pack labor is $1.40.
That leaves $16.00 of contribution margin before you spend a cent on ads — a 40% margin on the order. A revenue report shows $40. A profit-aware report shows $16, and that $24 gap is the entire game.
Now add ads. If you are running at a 4.0 return on ad spend, that order carried about $10 of allocated ad cost. Your real take on the order is $6.00 — a 15% contribution margin after ads. A daily report that stops at revenue, or even at gross sales, never shows you that $6. The arithmetic behind these tiers is laid out in our guide to ecommerce performance analytics.
The metrics worth putting on it
- Orders and revenue — the top line, for context only.
- True per-order profit — revenue minus COGS, shipping, fees, fulfillment, and allocated ad spend.
- Ad spend and blended ROAS — what the whole marketing engine returned, not one platform's self-graded number.
- Profit by product — so a hero SKU that is quietly margin-thin gets caught.
- Refunds and returns — netted out, because a profitable-looking day can reverse a week later.
Four ways to automate it, and what each one misses
1. Shopify's saved custom reports plus a manual export
Free and built in, but you are still the automation: you open the report and read it. It carries no cost data, so profit is on you to compute in a spreadsheet. Fine as a stopgap, not a system.
2. A report-scheduling app from the App Store
Apps like Report Pundit, Report Toaster, and ReportMe will email a scheduled daily summary — revenue, orders, conversion rate, top sellers. This is the mainstream answer, and it solves delivery cleanly.
The ceiling is the same one Shopify has: these apps read Shopify data. Most do not know your Meta or Google spend, so "profit" in them is gross sales minus COGS at best, not margin after ads. You get a prettier revenue report, delivered on time. The approach, trade-offs, and setup are covered in depth in our walkthrough on how to automate Shopify reports.
3. A no-code data pipeline (Coupler.io, Zapier, Make, n8n)
These pull Shopify — and, if you wire them up, ad platforms — into Google Sheets or a BI tool on a daily refresh. This is the first option that can actually show profit after ads, because you control which sources feed it.
The catch is that you build and maintain the join yourself: matching ad spend to orders, allocating shipping and fees, keeping the SKU-to-cost table current. When a connector silently breaks, you get a confident report built on stale data and no warning. If you go this route, it pairs with knowing how to read the output — see Google Analytics for an ecommerce website for the traffic side of the same picture.
4. An AI employee that assembles and delivers it
This is where PodVector AI fits. Victor is an AI employee, not a dashboard — it connects to your Shopify store, Meta Ads, Google Ads, your POD supplier (Printify, Printful, or Gelato), and Klaviyo, computes true per-order profit across all of them, and delivers the report to your Google Drive.
The difference from the pipeline route is that you do not build or babysit the join. Victor already knows how to tie an order to its ad cost and its product cost. And because every write action Victor takes is approval-gated, nothing happens to your store from a report without you signing off first.
A worked daily report: the day that lied
Say your scheduled app emails you this on a Tuesday: 52 orders, $2,080 in revenue, up eleven percent on last Tuesday. Looks like a good day. You move on.
Here is the same day with cost data folded in. COGS at $16 per order is $832. Shipping, fees, and pick-pack run about $8 an order, or $416. That leaves $832 of contribution margin before ads.
Now the part the revenue report never saw: you were chasing a slow start, so blended ROAS came in at 2.9 instead of your usual 4.0 — which on $2,080 of revenue works out to about $720 spent on Meta and Google that day. Contribution margin after ads: $112 across 52 orders — about $2.15 an order. The "eleven percent up" day earned less profit than a quieter day last week that spent half as much. A revenue report would have you celebrating; a profit report has you cutting a campaign.
This is the whole argument for automating the right report. The best cadence and format conventions for recurring reports — daily, weekly, monthly — are collected in our notes on ecommerce reporting best practices, and the broader discipline sits inside ecommerce business intelligence.
Setting the cadence without drowning in email
Daily is right for the profit-and-ads view, because ad spend and ROAS move day to day and a two-day-old signal is a two-day-old leak. Keep the daily report short: profit, spend, ROAS, and anything that moved more than you expected.
Push the deep cuts — profit by product, cohort retention, refund trends — to a weekly report. A daily email with forty rows gets archived unread; a daily email with five numbers gets read before coffee. Match the frequency to how fast the metric can change and how fast you can act on it.
See your store's true per-order profit with PodVector AI — connect Shopify and your ad accounts, and let Victor assemble the daily profit report instead of your spreadsheet.
FAQs
Can Shopify send automatic daily reports by email on its own?
No. Shopify lets you build and save custom reports on any plan, but it has no native feature to schedule or email them automatically. To get a report pushed to you daily, you use a third-party app, a data pipeline, or an AI employee that delivers it for you. Delivery is the easy part — the harder question is whether the report includes your costs.
What's the difference between a daily sales report and a daily profit report?
A sales report shows revenue and order counts straight from Shopify. A profit report subtracts product cost, shipping, payment fees, fulfillment, and ad spend to show what you actually kept. On the worked example above, a $40 order reads as $40 in a sales report and $6 in a profit report. For an operating store, the second number is the one worth automating.
Why don't most Shopify report apps show profit after ad spend?
Because they read Shopify data, and Shopify does not hold your Meta or Google spend. Most scheduling apps can subtract COGS if you load a cost table, which gets them to gross profit, but they stop before ad cost. Showing contribution margin after ads requires joining Shopify with your ad platforms — which is why a tool that connects to both, like PodVector AI, can show it and a Shopify-only app cannot.
How often should the daily report actually run?
Daily for the short profit-and-ads view, because those numbers move every day and the cost of acting late is real. Push product-level profit, retention, and refund analysis to a weekly cadence so the daily email stays to a handful of numbers you will actually read. The principle: report as often as the metric changes and no more.
Does automating reports mean giving a tool control of my store?
Not if the tool is built correctly. Reading your data to assemble a report is read-only. With PodVector AI, Victor can also draft actions — like a customer-support email or a campaign change — but every write action is approval-gated, so you approve the send or the change before anything executes. A report never moves your store by itself.