Loop integration

Loop in Polar: returns and exchanges, read against revenue.

Loop runs your returns and exchanges. Connect it and your return rate, exchange revenue, refund cost and reasons flow into Polar, blended with Shopify orders. Returns stop being a blind spot: you see return rate by product, the revenue exchanges retain, and refund cost in net revenue.

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Connect Loop See the setup
Google Sheets → Polar

What you can bring in

Return rate
"How much comes back?"
Return rate overall and by product, blended with orders.
return rate
Exchange revenue
"How much do exchanges retain?"
Revenue kept by exchanges instead of refunded, in the P&L.
revenue retained
Refund cost
"What do returns cost?"
Refund cost reflected in net revenue and margin.
refund cost
Return reasons
"Why are they returning?"
Top reasons tied to the products they're about.
reasons + products
By product
"Which products get returned?"
Return rate per product, so problem SKUs surface.
by product
Net of returns
"What did I really keep?"
Net-of-returns revenue blended into the P&L.
net revenue

Loop handles returns. Polar puts them in the P&L.

Loop manages returns and exchanges, but the cost, the refunds, the retained exchange revenue, the products driving it, lives apart from your margin. Polar makes it a metric.

Loop on its own

  • Returns managed, cost sits apart from margin.
  • No return rate by product against revenue.
  • Exchange-retained revenue not in the P&L.
  • Net-of-returns revenue is a manual calc.

Loop with Polar

  • Return rate and refund cost blended with orders.
  • Return rate per product, problem SKUs surfaced.
  • Exchange revenue retained, in the P&L.
  • Net-of-returns revenue, automatically.
Setup Guide

Bring Loop into Polar.

01 · What you need
Polar

A Polar account with Shopify

A Polar account with Shopify connected. This connector plugs in right next to your stack.

Connect your data →

A Loop account

API access to your returns, exchanges and refunds so the connector can pull them.

Open Loop →

The AI data engineer

Loop is ingested via a custom connector and blended with your orders and margin.

02 · Bring Loop into Polar
1

Connect with a custom connector talk to Polar

Returns, exchanges, reasons.
Polar ingests your return rate, exchange revenue, refund cost and reasons from Loop.
2

Blend with orders built for you

Returns meet orders.
Data blends with Shopify orders, so net-of-returns revenue and the revenue exchanges retain are visible.
3

See the real number the payoff

Net of returns.
Net revenue reflects refund cost and retained exchange revenue, and you see which products and reasons drive returns.
Get started

Returns and exchanges, in the P&L.

Bring Loop returns and exchanges into Polar and read them against revenue.

Book a demo Connect your data ↗
The Gap

The connector is only half of it.

Once your Loop returns and exchanges are connected to Polar, you can use them wherever you already work. Ask Polar in plain language, pull them live through the Polar MCP, or schedule a snapshot into the report your team reads every morning.

Loop

returns, exchanges, reasons
Polar

Polar

return rate, net revenue

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

Returns, out of the blind spot.

Returns, out of the blind spot

Returns are the cost brands under-count, and exchanges are the revenue they forget to credit, both happen after the sale and live in the returns tool. Loop runs the process; Polar ingests the data and blends it with Shopify orders, so net revenue reflects refund cost, exchange-retained revenue shows up, and problem SKUs surface by return rate. Returns become a number you manage, not a surprise at close.

What makes it real

Net of returns. Refund cost and retained exchange revenue in net revenue and margin.

By product and reason. Return rate per product and the reasons behind it, tied to revenue.

Ask Polar, in plain language. “Show return rate by product and refund cost in net revenue.” No SQL, no export.

See how returns read against revenue
Other Use Cases

Other use cases

Use case 01

Placeholder

Placeholder. The use case skill fills this. (rung: see it)

See the use case › Use case 02

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Placeholder. The use case skill fills this. (rung: report it)

See the use case › Use case 03

Placeholder

Placeholder. The use case skill fills this. (rung: analyze it)

See the use case › Use case 04

Placeholder

Placeholder. The use case skill fills this. (rung: decide from it)

See the use case › Use case 05

Placeholder

Placeholder. The use case skill fills this. (rung: act on it)

See the use case ›
Your Prompt Library

Loop in plain language

A scannable wall of sample prompts for your Loop data inside Polar. Ask Polar, or Claude with the Polar MCP connected.
See it
Show my return rate this month.
Break down returns by product.
Show exchange revenue retained.
Analyze it
What's my net-of-returns revenue?
Which products have the highest return rate?
How much revenue do exchanges retain vs refunds?
Decide from it
Which SKUs should I fix based on returns?
How much margin am I losing to refunds?
Summarize how returns and exchanges moved since last month.
Get started · connect once · returns in the P&L

Returns and exchanges, read against revenue.

Bring Loop returns and exchanges into Polar and read return rate, refund cost and retained revenue against orders.

Get started by booking a demo Connect your data in Polar
Phase 1 talk to PolarConnect LoopPolar connects to Loop and pulls returns and exchanges.
Phase 2 built for youBlend with ordersReturns blend with orders into net-of-returns revenue.
Phase 3 the payoffSee the real numberReturn rate by product and refund cost in the P&L.