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Customer Success & Operations

Returns and exchanges, connected to the full customer journey

Returns get treated as a cost line, not a signal. Every Loop return joined to its order and customer for rates, reasons by SKU, and retention effect.

Loop Returns

Post-purchase support, helpdesk, and returns platforms that power customer-facing operations.

Why Loop Returns?

Loop Returns provides detailed return-event data. SourceMedium connects those events to order history so you can analyze return economics and understand which observed outcomes correlate with loyalty or churn.

Return outcome analysis

Exchange, refund, upsell, store credit, and mixed outcomes sync with full financial detail per return.

Return reason hierarchy

Two-level return reason data at the SKU level reveals the root cause behind your return rates.

Post-purchase retention

Returns join order history and customer LTV so you can measure whether exchange customers repurchase at higher rates.

Return timing and cost

Days to return, return timing bands, and net return cost (refund minus upsell capture) sync per return.

What you can ask

With the AI Analyst, you can query Loop Returns data using natural language. Here are some examples.

What percentage of returns result in an exchange vs a refund?
Which SKUs have the highest return rates this quarter?
What are the top return reasons by product category?
Do customers who exchange repurchase at higher rates than those who refund?
Which acquisition channels produce orders with the lowest return rates?
How does return timing differ between exchange and refund outcomes?
What is our net return cost as a percentage of gross revenue?

Joins with other integrations

Loop Returns data is designed to join with your other data sources for unified analysis.

How it works

Setup depends on the source. We confirm access requirements, history, cadence, and customer responsibilities before implementation begins.

1

Connect Loop Returns

Share your Loop Returns API key. We pull return records, outcomes, and line-item data.

2

Return data sync

Returns sync with outcome, financials, reason hierarchy, and exchange variant data.

3

Post-purchase analysis

Return data joins your order and customer models for full lifecycle analysis.

Ready to stop debating the numbers?

In 30 minutes, we will

  1. Map your current systems and reporting gaps.

  2. Show one workflow relevant to your team.

  3. Outline likely fit, implementation scope, and next steps.

Book a platform walkthrough

Share a little context, then choose a time immediately after submitting.

Takes under a minute. Then pick a time.