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

AfterShip Returns → Polar

AfterShip Returns returns, priced into your margin.

Return rate, refund cost and return reasons from AfterShip Returns by product, netted against revenue and read next to support load, so returns land in margin instead of a separate report.

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

Setup Guide

How to Connect AfterShip Returns to Polar.

01 · What you need

A Polar account with Shopify

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

Connect your data →

An AfterShip Returns account

API access to your returns, refunds and reasons so the AI Data Engineer can build the connector.

Open AfterShip Returns →

Polar's AI Data Engineer

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

02 · Bring AfterShip Returns into Polar

Ask the AI Data Engineer for AfterShip Returns ~ minutes

Plain language, no code.

Describe what you need from AfterShip Returns in plain language. Polar's AI Data Engineer reads the AfterShip Returns API, writes the connector and pipes the data into your warehouse as governed data, in minutes. No code.

Blend with orders automatic

Returns meet orders.

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

See the real number the payoff

Net of returns.

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

Side by side

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 ownon its own

AfterShip with Polarblended

Returns managed, but cost sits apart from margin.

Return rate and refund cost blended with orders.

No return rate by product against revenue.

Return rate per product, problem SKUs surfaced.

Reasons in a tool no one aggregates against sales.

Reasons tied to the products and revenue they hit.

Net-of-returns revenue is a manual calc.

Net-of-returns revenue in the P&L.

Featured Use Case

AfterShip Returns 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.

Net of returns

Refund cost reflected in net revenue and margin, not ignored. Return rate per product and the reasons behind it, tied to revenue.

Ask Polar, in plain language

No SQL

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

See how returns read against revenue