ProfitRoot

About ProfitRoot

D2C margin intelligence for Shopify brands, built on Net Sales that matches Shopify.

ProfitRoot was built for a simple reason: most ecommerce brands have more dashboards than ever, but still can't answer the questions that matter most — Do our numbers actually tie? What's proven, and what's missing? Can we trust this enough to act on it?

D2C finance data is messy by nature. Orders live in Shopify. Product costs live in product records, spreadsheets, or accounting systems. Payment fees live in payouts. Shipping costs live in carrier or 3PL files. Inventory and cash forecasts depend on assumptions. Most tools flatten that complexity into a clean-looking profit number. ProfitRoot takes the opposite approach. We show what matches Shopify, what matches its bill, what has its gaps named, what is missing information, and what is only your assumption. Because in commerce finance, confidence should be earned.

Why ProfitRoot exists

D2C operators don't need another dashboard full of numbers. They need to know which numbers are safe enough to run the business on. The hardest margin questions sit between systems:

Revenue grew — but did contribution margin improve? Are discounts hiding weak demand? Is shipping cost consuming the profit? Are COGS complete across every SKU? Are payment fees tied to payouts? Is inventory runway a fact, or an assumption?

ProfitRoot turns scattered commerce data into a source-backed margin story. Not just what happened — what can be trusted.

Our method

Matches Shopifyties back to a source total.
Calculatedcomputed from your inputs, with no external control to check against.
Checked to billchecked against an external control.
Coverage knownpresent and mapped, may still need a control.
Needs sourcethe required source is missing or incomplete.
What-ifdepends on assumptions; not reconciled actuals.

Customer-paid shipping is not shipping cost. Product cost isn't complete unless SKU coverage is proven. Cash runway is not a fact that matches a source. AI commentary should not invent explanations from incomplete data. ProfitRoot is designed to refuse fake precision.

The reporting hierarchy

Gross Sales
- Discounts
- Refunds
= Net Sales
- Product COGS
= Product Gross Margin
- Payment Fees
- Fulfillment
- Shipping
- Returns handling: missing until a returns source exists
= Contribution Margin — before marketing
- Paid Media
= Contribution Margin — after marketing

As each source becomes available, ProfitRoot lights up the layer it can honestly support. Orders unlock Net Sales that matches Shopify. Cost files unlock COGS, with the gaps named. Carrier and 3PL files unlock logistics checked against the invoice. Payouts unlock payment fees. Meta spend, checked against its bill, unlocks profit after ads. Decisions ranks what to fix first and names the rule behind each item.

What makes ProfitRoot different

Many ecommerce tools are built to make every metric look available. ProfitRoot is built to show which metrics are actually ready. That difference is the product. You shouldn't have to choose between a lightweight profit app and a heavy enterprise finance system. ProfitRoot sits between them: finance-grade margin intelligence for operators who need more trust than a dashboard, but more speed than a manual monthly spreadsheet. The goal is to move teams from "I think this is our margin" to "this is what ties, this is what matches the bill, this is what's missing, and this is the decision we can make."

Built for operators, finance leads, and fractional CFOs

Founders who need to know whether growth is profitable. Operators who need to see where margin is leaking. Finance leads who need a board-ready contribution-margin view. Fractional CFOs who need a repeatable way to turn messy Shopify and cost data into trusted reporting. One belief runs through it: a good finance system shouldn't just report numbers — it should explain the evidence behind them.

Our promise

ProfitRoot won't present every uploaded number as proven. It won't present your assumption as a figure that matches a source. It won't allocate costs into false precision the source doesn't support. It won't let AI invent explanations from unsupported data. It will keep showing the boundary between what's proven, what's supported, and what still needs a source.

Where we're going

Today every bridge shows why a number moved, and Decisions ranks what to fix first by dollars. Next: Ask Root, live ad connections, and accounting sources for operating profit.

ProfitRoot · © 2026