Commerce Layer in Polar: your storefront, on one blended P&L.

Commerce Layer runs the store and reports the store. It cannot see your ad spend, your marketplace revenue or your cost of goods, so its dashboard shows sales while the questions you actually have are about margin and channel mix. Bring orders, customers and products into Polar and the storefront becomes one source among all of them.

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Bring Commerce Layer into Polar See the setup

Your storefront, read as part of the business.

Orders, customers and products from Commerce Layer, modelled into Polar's governed layer and blended with your ads, your email and your marketplaces, so margin and channel mix cover the whole business.

Orders & revenue

"Where's my real top line?"

Orders, net sales and AOV from Commerce Layer, defined once and blended with every other source.

governed net sales

Customers & cohorts

"New or returning?"

New versus returning, repeat rate and cohort LTV built on the store's own customer data.

cohorts · LTV

Products & margin

"Which products earn?"

Sales and cost of goods per SKU, so contribution margin exists at product level.

per SKU margin

Multi-store

"We run several storefronts."

Several stores and markets read as one business, with each still visible on its own.

one business

Blended CAC

"What does a customer cost?"

Store revenue against every channel's spend, so acquisition cost is real.

across channels

One P&L

"The platform only sees itself."

Storefront, ads, email and marketplaces on the same statement.

in the P&L

Setup Guide

How to Connect Commerce Layer to Polar.

A Polar account with Shopify connected, admin on your Commerce Layer store, and Polar's AI Data Engineer, which builds the connector from a plain-language request.

01 · What you need

A Polar account with Shopify

A Polar account with Shopify connected. Commerce Layer data only means something read against the orders behind it.

Connect your data →

Your Commerce Layer store

Admin access to the Commerce Layer store, with API access for the orders, customers and products you want to bring in.

Open Commerce Layer →

Polar's AI Data Engineer

No native Commerce Layer connector yet? Describe what you need in plain language and the AI Data Engineer reads the Commerce Layer API, writes the connector and pipes it into your warehouse, in minutes.

02 · Bring Commerce Layer into Polar

Ask for the connector ~ minutes

Plain language, no code.

Tell Polar's AI Data Engineer what you want from Commerce Layer in plain language. It reads the source documentation, lays out everything the API offers by category, then writes the connector and pipes the data into your warehouse as governed data. No code, and it ships in minutes.

Worth knowing: this also works on connectors you already have. If the Commerce Layer API exposes a field, you can have it, down to a single hidden one the standard connector never pulled.

Orders, customers, products automatic

Modelled, not exported.

Polar models Commerce Layer orders, customers and product data into the same governed layer as the rest of your stack, so net sales, AOV, cohorts and margin are defined once and mean the same thing everywhere.

Blended with everything the payoff

The store, in context.

Storefront revenue sits with ad spend, email, marketplaces and cost of goods, so blended CAC, MER and contribution margin cover the whole business rather than one platform's view of it.

Side by side

Commerce Layer reports the store. Polar reports the business.

Commerce Layer shows you the storefront on its own definitions, with no sight of your ad spend, your marketplaces or your cost of goods. Polar models it into the same governed layer as everything else, so margin and channel mix cover the whole business.

Commerce Layer on its ownon its own

Commerce Layer with Polarblended

The platform can only see its own storefront.

Storefront revenue blended with ads, email and marketplaces.

Net sales and AOV are the platform's definitions.

Metrics defined once in the semantic layer, the same everywhere.

No cost of goods, so no real margin.

Contribution margin and net profit on real cost, down to SKU.

Several storefronts mean several dashboards.

Every store read as one business, each still visible on its own.

Featured Use Case

The store, in context.

A storefront dashboard can only tell you about the storefront. Polar reads it against every other source, which is the only way blended CAC and channel mix mean anything.

C Blended P&L Illustrative

Metric

This week

WoW

Net revenue

$482,100

+6%

Orders

3,240

+4%

Blended CAC

$38

-9%

New vs repeat

42 / 58

-3pts

Email revenue

$71,400

+12%

Storefront revenue read against every other source. Illustrative figures.

Defined once

Governed

Net sales, AOV and margin come from the semantic layer rather than the platform's own report, so finance and growth stop arguing about whose number is right.

In context

No SQL

The storefront is one source among your ads, your email and your marketplaces, which is the only way channel mix and blended CAC mean anything.

Connect your data in Polar

Commerce Layer in Polar: your storefront, on one blended P&L.

Your storefront, read as part of the business.

How to Connect Commerce Layer to Polar.

A Polar account with Shopify

Your Commerce Layer store

Polar's AI Data Engineer

Ask for the connector ~ minutes

Orders, customers, products automatic

Blended with everything the payoff

One P&L, whatever the storefront runs on.

Commerce Layer reports the store. Polar reports the business.

Commerce Layer on its ownon its own

Commerce Layer with Polarblended

The connector is only half of it.

Commerce Layer

Polar

Ask Polar

Polar MCP

Scheduled reports

The store, in context.

Defined once

In context

15 prompts a connected Commerce Layer unlocks.

Commerce Layer reports the store. Polar reports the business.