AfterShip Returns integration

AfterShip Returns in Polar: returns, read against revenue.

Connect AfterShip Returns and your return rate, refund cost and return reasons flow into Polar, blended with Shopify orders. Returns stop being a blind spot and become a metric: return rate by product, refund cost in net revenue, and the reasons that drive it.

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Connect AfterShip Returns 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
Refund cost
"What do returns cost me?"
Refund cost reflected in net revenue and margin.
refund cost
Return reasons
"Why are they returning?"
Top return reasons tied to the products they're about.
reasons + products
By product
"Which products get returned most?"
Return rate per product, so problem SKUs surface.
by product
Net of returns
"What did I really keep?"
Net-of-returns revenue, not gross, blended into the P&L.
net revenue
Returns vs support
"Do returns drive tickets?"
Return spikes next to support load and refunds.
returns vs tickets

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

AfterShip manages the return, but the cost of it, refunds, the products that drive it, the hit to net revenue, lives apart from your margin. So returns are a blind spot until finance adds them up. Polar makes them a metric.

AfterShip on its own

  • Returns managed, but cost sits apart from margin.
  • No return rate by product against revenue.
  • Reasons in a tool no one aggregates against sales.
  • Net-of-returns revenue is a manual calc.

AfterShip with Polar

  • Return rate and refund cost blended with orders.
  • Return rate per product, problem SKUs surfaced.
  • Reasons tied to the products and revenue they hit.
  • Net-of-returns revenue in the P&L.
Setup Guide

Bring AfterShip Returns 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 AfterShip Returns account

API access to your returns, refunds and reasons so the AI data engineer can build a custom connector.

Open AfterShip Returns →

The AI data engineer

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

02 · Bring AfterShip Returns into Polar
1

Connect with a custom connector talk to Polar

Returns, refunds, reasons.
The AI data engineer builds a custom connector to AfterShip Returns, ingesting your return rate, refund cost and reasons.
2

Blend with orders built for you

Returns meet orders.
Returns blend with Shopify orders, so net-of-returns revenue and return rate by product are visible.
3

See the real number the payoff

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

Returns, in the P&L.

Ingest AfterShip returns with a custom connector and read return rate and refund cost against revenue.

Book a demo Connect your data ↗
The Gap

The connector is only half of it.

Once your AfterShip returns and refunds are clean and attributed inside 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.

AfterShip Returns

returns, refunds, 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 every brand under-counts, because the refund, the reshipment and the lost margin happen after the sale and live in a returns tool, not the P&L. AfterShip manages the process; it does not tell you your return rate by product, what returns cost net, or which reasons keep recurring. Polar ingests your returns data and blends it with Shopify orders, so net revenue reflects refund cost, problem SKUs surface by return rate, and the reasons tie back to the products driving them. Returns become a number you manage, not a surprise at close.

What makes it real

Net of returns. Refund cost reflected in net revenue and margin, not ignored.

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

Placeholder

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

AfterShip Returns in plain language

A scannable wall of sample prompts for your AfterShip Returns 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 top return reasons.
Analyze it
What's my net-of-returns revenue this month?
Which products have the highest return rate?
Do return spikes track with support tickets?
Decide from it
Which SKUs should I fix or drop based on returns?
How much margin am I losing to refunds?
Summarize how returns moved since last month and why.
Get started · connect once · returns in the P&L

Returns, read against revenue.

Ingest AfterShip returns with a custom connector and read return rate and refund cost against revenue.

Get started by booking a demo Connect your data in Polar
Phase 1 talk to PolarConnect AfterShip ReturnsThe AI data engineer builds a custom connector to AfterShip Returns.
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.