Whatnot
Whatnot integration

Whatnot in Polar: marketplace revenue, net of the fees.

Whatnot reports Whatnot. It shows you gross sales in its own dashboard, on its own definitions, and it cannot see your store, your ad spend or your cost of goods. Bring orders, fees and returns into Polar and marketplace revenue lands on the same P&L as DTC, with the commission already taken out.

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Marketplace revenue, net of the fees, on the same P&L as DTC.

Orders, commission, fulfilment charges and returns from Whatnot, down to SKU and market. Polar nets the fees out and blends the result with Shopify, so marketplace profit sits next to your store instead of in a separate dashboard.
Revenue as a channel
"Can I see Whatnot next to my store?"
Marketplace orders and revenue blended with your DTC sales on one statement.
Whatnot + DTC
Fees & commission
"My marketplace margin is a mystery."
Commission and fulfilment charges netted out, so profit reflects what you keep.
netted out
Returns
"Returns eat the channel."
Returned orders and refund value taken off the revenue they belong to.
off the top line
Down to SKU
"Which products work there?"
Sales and cost per SKU and per market, so assortment decisions have data.
per SKU · market
Real margin
"What's my true marketplace margin?"
Marketplace profit on real cost, inside contribution margin and net profit.
real margin
Channel mix
"How does it compare to DTC?"
One P&L across channels, so you see where growth and margin really come from.
mix, not guesswork
Setup Guide

How to Connect Whatnot to Polar.

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

A Polar account with Shopify

A Polar account with Shopify connected. Marketplace revenue only means something read next to your DTC store.

Connect your data →
Whatnot

Your Whatnot seller account

Admin access to the Whatnot seller account, and the order and settlement reporting for the markets you sell in.

Open Whatnot →

Polar's AI Data Engineer

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

1

Ask for the connector ~ minutes

Plain language, no code.
Tell Polar's AI Data Engineer what you want from Whatnot in plain language. It reads the API, writes the connector and pipes the data into your warehouse as governed data, in minutes.
Worth knowing: what lands depends on what your seller account exposes. Orders, fees and returns are the usual set, and history is limited to what the API will give back. You choose the fields you want, or import everything the API exposes.
2

Fees netted, blended automatic

Real margin, not gross.
Polar nets the commission, fulfilment charges and returns out and blends the result with Shopify, down to SKU and market, so marketplace profit is calculated on real cost rather than on the gross figure the channel reports.
3

One P&L across channels the payoff

DTC and marketplace, together.
Whatnot sits next to your DTC revenue on one blended P&L, so you see channel mix and true margin instead of switching to a separate seller dashboard to guess at it.
Get started

See marketplace profit, not marketplace revenue.

Bring Whatnot in, let Polar net the commission and returns out, and read the channel next to your store on one P&L.

Side by side

Whatnot reports Whatnot. Your business is more than Whatnot.

Whatnot shows the channel in isolation, gross numbers, its own commission, its own dashboard, and it cannot see your DTC store or the rest of your stack. So the real question, what did Whatnot actually make me next to everything else, has no home. Polar is that home.
Whatnot

Whatnot on its ownon its own

Whatnot+

Whatnot with Polarblended

Revenue is gross, before commission and returns come out.
Marketplace margin, after fees, fulfilment charges and returns.
The channel sits in its own dashboard, apart from your store.
Whatnot blended onto the same P&L as your DTC revenue.
No view of which SKUs or markets actually earn there.
Margin per SKU and per market, so assortment follows the data.
Nothing reconciles the channel against net profit.
Every marketplace dollar inside contribution margin and net profit.
The Gap

The connector is only half of it.

Once Whatnot orders, fees and returns are netted against your store data inside Polar, you can use the result wherever you already work. Ask Polar in plain language, pull it live through the Polar MCP, or schedule it into the report your team reads every morning.
Whatnot

Whatnot

orders, fees, returns
Polar

Polar

channel margin, blended

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

Marketplace profit, not marketplace revenue.

Gross sales look healthy until the commission and the returns come out. Polar takes them out first, so the margin you read is the margin you keep.
W Marketplace margin 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%
Gross sales, commission and returns out, margin at the bottom. Illustrative figures.

Profit, not revenue

Net of fees

The number that reaches your P&L is what the channel actually paid you, with commission, fulfilment charges and returns already removed.

Next to DTC

No SQL

Marketplace and store sit on the same statement, so channel mix is a fact rather than an argument between two dashboards.

Your Prompt Library

15 prompts a connected Whatnot unlocks.

Marketplace margin, fee load, channel mix and the SKUs that actually work on the channel.
Type
Audience
15 of 15
Get started · connect once · net of fees

Whatnot showed you gross sales. Polar shows what you kept.

Bring orders, fees and returns into Polar and read marketplace profit next to your DTC store on one blended P&L.

Phase 1 ~5 minConnect your data in PolarConnect Shopify and your stack. Polar's semantic layer turns it into governed metrics, then wait for the first sync.
Phase 2 ~ minutesBring Whatnot inDescribe what you need in plain language; the AI Data Engineer writes the connector and pipes it into your warehouse.
Phase 3 the payoffRead margin, not revenueCommission and returns netted out, inside contribution margin and net profit.