The category

What is D2C Profit Intelligence?

Profit intelligence connects your e-commerce revenue, ad spend, and cost data into one view — so you see what you actually keep, not just what you sell.

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What dashboards show

$500K

Monthly revenue

COGS hidden
Ad spend excluded
Returns not deducted

What profit intelligence shows

$127K

True profit

COGS deducted
Ad spend allocated
Returns included

The problem

Why revenue dashboards fail D2C brands.

Revenue goes up, profit goes down

Scaling revenue without tracking margin means you can grow your way into a loss. A 3x increase in ad spend does not guarantee a 3x increase in profit.

Platform ROAS is inflated

Google Ads reports a 4x ROAS. Meta reports a 5x ROAS. But your total ad spend is $100K and total revenue is $400K. Both platforms are over-attributing conversions they share.

Data lives in five places

Orders in Shopify. Costs in QuickBooks. Ad spend in Google and Meta. Payments in Stripe. No single tool connects them — so operators build spreadsheets that go stale in days.

LTV is a single number

Most brands calculate one average LTV across all customers. Without cohort tracking, you cannot tell which acquisition channels bring repeat buyers and which bring one-time discount shoppers.

The definition

Profit intelligence: data to margin clarity in one view.

D2C profit intelligence is the practice of connecting e-commerce revenue, advertising spend, and cost-of-goods data into a single system that shows true profitability by channel, product, and customer cohort. It replaces the spreadsheet reconciliation that most operators do manually every week — and keeps the numbers current automatically.

Pillar 1

True ROAS

Blended return on ad spend calculated from actual Shopify revenue and total spend across Google Ads and Meta Ads — not the inflated number each platform reports individually.

Pillar 2

Margin by SKU

Contribution margin calculated at the product level by connecting Shopify order data with cost-of-goods from QuickBooks or Xero. See which products generate profit and which ones erode it.

Pillar 3

Cohort LTV

Customer lifetime value tracked by acquisition month, channel, and campaign. See which cohorts produce repeat purchases and which ones churn after the first order.

The difference

Profit intelligence vs. revenue analytics.

Revenue analytics

Shows gross revenue — not profit
Uses platform-reported ROAS
COGS and costs tracked separately
LTV is one average number
Reports what happened
Built for analysts and BI teams

Profit intelligence

Shows contribution margin by channel and SKU
Calculates blended ROAS from real revenue
Connects COGS and ad spend to revenue automatically
LTV tracked by cohort, channel, and campaign
Surfaces named next-best actions
Built for operators, not analysts

Who needs it

Profit intelligence is for operators who make spend decisions.

D2C Founders

$1M-$20M revenue

You run the business and make the spend calls. You need to know which products, channels, and campaigns are profitable — not just which ones generate revenue. Profit intelligence replaces the spreadsheet you rebuild every Monday.

Heads of Growth

Owns acquisition + retention

You own CAC and LTV targets, but your CAC calculation does not include COGS or shipping. And your LTV is one average across all cohorts. Profit intelligence gives you the real numbers by channel and acquisition month.

Media Buyers

Google + Meta spend allocation

You optimize inside ad platforms every day, but platform ROAS is inflated by shared attribution. Profit intelligence shows blended ROAS with real revenue data so you allocate budget to the channels that generate actual margin.

FAQ

Frequently asked questions

What is D2C profit intelligence?

D2C profit intelligence connects e-commerce revenue data, ad spend, and cost of goods into one view — so operators see true profitability by channel, SKU, and customer cohort instead of relying on gross revenue dashboards.

How is profit intelligence different from revenue analytics?

Revenue analytics shows top-line numbers — total sales, orders, average order value. Profit intelligence subtracts COGS, ad spend, shipping, and returns to show what you actually keep. It answers which products, channels, and customers are profitable — not just which ones generate revenue.

What data sources are needed for profit intelligence?

At minimum: an e-commerce platform (Shopify) for order data, an accounting tool (QuickBooks or Xero) for cost data, and ad platforms (Google Ads, Meta Ads) for spend data. A payment processor like Stripe adds revenue reconciliation. All connections via native OAuth.

Can I build profit intelligence in a spreadsheet?

You can, and many operators do. The problem is that spreadsheets require manual updates, do not normalize data across platforms, and go stale within days. Profit intelligence tools automate the data connection and keep the view current without weekly rebuild effort.

Who needs D2C profit intelligence?

D2C founders, heads of growth, and media buyers at brands doing $1M-$20M in revenue who currently rely on platform-reported ROAS and gross revenue dashboards — and suspect the real numbers are different. If you spend more than an hour a week reconciling data across Shopify, ad platforms, and your accounting tool, profit intelligence is built for you.

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