Manual entry, stale data, broken formulas, missed refunds. The spreadsheet was fine at 10 orders/day. At 50+ it's a liability. NetNet automates everything.
For ecommerce operators whose monthly profit file has started getting skipped.
A profit spreadsheet starts honest and gets dishonest by attrition. You update it for three weeks, then a busy day happens. Then a refund slips through. Then a new shipping rate goes in and you forget to update the per-order math. Six months later the file still opens and the totals still calculate — they just don't mean anything. The fix isn't a better spreadsheet.
| Aspect | Spreadsheet | NetNet |
|---|---|---|
| Data entry | Manual, hours/week | Automatic, real-time |
| Accuracy | Error-prone | Calculated per order |
| Refunds | Easily missed | Auto via webhooks |
| Cost categories | Whatever you remember | 14+ categories |
| Ad spend | Copy-paste from platforms | Daily sync (Meta, Google) |
| Per-order detail | Not practical at scale | Click any order |
| Historical data | As far back as you've tracked | 365-day backfill on install |
| Discount tracking | Manual lookup | Auto from Shopify orders |
| Scalability | Breaks at 50+ orders/day | Unlimited orders |
| P&L export | Copy-paste cells | CSV export, Shopify ready |
| Margin alerts | None | AI-powered notifications |
One-click install from Shopify App Store. Appears in your admin immediately.
NetNet pulls your last 365 days of orders automatically. No action needed, happens in the background.
Upload your product costs via CSV or enter manually. Takes 2 minutes. First profit numbers appear.
Click Meta/Google → authorize → done. NetNet syncs yesterday's spend and today's spend.
Profit per order, margins by product, cost breakdown, POAS by campaign. All calculated and live.
We're not saying spreadsheets are never useful. There are real cases where a spreadsheet is the right tool:
NetNet has 14+ metrics, but if you need an exotic ratio or custom calculation, a spreadsheet is faster.
NetNet is Shopify-only. If you sell on eBay, Amazon, or Etsy, you'll need a spreadsheet to aggregate.
Want to model a pricing change? Or see what margin would be at 50% higher COGS? Spreadsheet is your sandbox.
Your accountant might want the raw numbers. Export from NetNet, paste into a spreadsheet, send over.
Meta Ads Manager → Excel → manual row. NetNet syncs Meta and Google Ads automatically every 24 hours.
Stop cross-referencing product SKUs with your cost spreadsheet. NetNet knows the cost of every variant.
Stop stitching together orders + shipping + fees + ad spend into a monthly report. NetNet has one click: Export P&L.
Export P&L from NetNet as CSV. Your accountant can import directly into their tax software.
Refunds come in via Shopify webhooks. NetNet recalculates profit automatically. The spreadsheet is already stale.
Not the formulas. The formulas are usually right, and whoever built the sheet understands the business better than any generic tool does.
What goes wrong is that a spreadsheet is a snapshot of inputs that keep moving. A carrier adjustment lands three weeks after the parcel. A refund is issued in month two against revenue booked in month one. A supplier raises prices mid-quarter. Each of these requires someone to go back and update a cell, and each one that is missed leaves the sheet quietly wrong in a way that looks exactly like being right.
The second problem is that the work scales. Reconciling four hundred orders by hand is an evening. Four thousand is not, so the granularity gets dropped — averages replace per-order figures, and the averages hide precisely the variation that made the exercise worth doing.
The definitions. If your sheet treats shipping revenue a particular way, or excludes a category of order, or allocates a shared cost on a basis you chose deliberately, those are decisions worth carrying over rather than abandoning.
Keep it running in parallel for a period, too. Comparing the two on a closed month is the fastest way to find a cost that is configured wrongly, and it is a great deal easier than discovering it a quarter later.
Where the two disagree, the disagreement is the useful output. It is usually a cost one of them counts and the other does not, and finding out which is right is the point of the exercise.