Know why products come back.

ReturnBeacon turns customer reviews into return-risk signals and prioritized listing fixes—before margin disappears.

Run sample analysis View sample report

CSV/XLSX · One listing per report · No report history stored

Sample analysis · 12 reviews

Sample report: Apparel item

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Return Risk

38.7 / 100 Moderate

12 reviews analyzed

Higher scores mean greater review-derived return risk.

Top return drivers

Sizing mismatch33.33%

Quality confidence gap25%

Color mismatch16.67%

Priority focus

Clarify fit expectations.

Clarify fit guidance near the top of the listing and add a direct note on when shoppers should size up or down.

See recommended fixes

Review evidence

Sample dataset

Sizing mismatch
Sample review: “Love the fabric and shape, but sizing is inconsistent between colors.”
Quality
Sample review: “Arrived with loose stitching near the sleeve.”
Color mismatch
Sample review: “Color is darker than the listing photos.”

Prioritized actions

1
Clarify fit guidanceAdd direct size-up or size-down guidance.
2
Strengthen quality detailShow materials and close-up construction.
3
Refresh product imageryUse neutral lighting and accurate swatches.

Start analysis

Upload a review export

Upload one review export for one product or listing. ReturnBeacon turns it into a focused report with risk signals, customer evidence, and clear listing actions.

One listing per report CSV and XLSX upload Export-ready output

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Step 1 — Review export file

Drag and drop your CSV/XLSX here or browse files One review export per product or listing. Maximum file size: 10 MiB.

Step 2 — Generate the report

Once a file is attached, ReturnBeacon validates it and builds one focused report for that listing.

Upload setup

Sample files Use a sample export to test the workflow or match the file structure.

Upload requirements

Keep the file simple, focused, and ready for one report.

Required columns: review_text and rating
Report scope: One file for one listing
Supported formats: CSV or XLSX export

Pre-Analysis State

Upload a review export to generate a ReturnBeacon report.

No report has been generated yet. Run the sample analysis for an instant walkthrough, or upload one spreadsheet export with the required columns review_text and rating.

Report status Ready to analyze Awaiting upload Upload required

Current state

No report has been generated yet. Export becomes available after a sample run or a valid uploaded analysis.

Include in the file review_text, rating ReturnBeacon expects these two headers before it can generate a report.

Best results when One file covers one listing Keep each upload to a single product or listing so the populated dashboard stays coherent.

Best way to start Use sample or upload a file Sample analysis opens a populated dashboard instantly, while uploads generate a report from your own dataset.

Overview

Return risk at a glance

A product health view designed to make the top risk signal obvious at a glance.

Core score

Return Risk Score

Composite signal built from complaint density, severe negatives, issue concentration, and expectation mismatch.

Review analysis

No data

Score interpretation

Run an analysis to see why the score was assigned.

Run a new dataset anytime from the upload panel above.

Average Rating

Average satisfaction across valid reviews in the analyzed dataset.

Negative Review Share

Severe negatives: --

Highlights low-rating pressure and the intensity of bad customer outcomes.

Audit brief

Executive Summary

Business-level findings grounded in the uploaded review text and ratings.

Quantitative view

Charts

Rating mix and complaint concentration make it easier to see whether the risk score is driven by breadth, severity, or a narrow recurring issue.

Rating Distribution

Count of review ratings from 1 to 5 stars across valid analyzed reviews.

Issue Share

Relative mention share for the highest-impact complaint categories in the review set.

Signal summary

Insights

Balance downside pressure with positive evidence to understand whether the product is fundamentally broken or just mispositioned.

Top Risk Drivers

Positive Signals

Theme analysis

Issue Clusters and Customer Evidence

Clustered complaint themes and representative customer evidence help translate raw text into seller-facing product diagnosis.

Issue Clusters

Customer Evidence

Expectation gap

Expectation Mismatch

Identifies where buyers likely expected something different from what they received.

Action layer

Recommendations and Listing Improvements

Move from diagnosis to action with prioritized fixes, executive framing, and listing improvements that map back to customer complaints.

Listing improvements

Structured suggestions with clear problem framing, recommended listing changes, and expected business impact.

Priority Action

No priority action identified.

Next actions

Listing assets

Copy and Image Fixes

Export-ready listing copy, FAQ answers, product bullets, and image callouts.

Copy-paste FAQ

Product bullet rewrites

Image callout suggestions

Action plan

Priority Matrix

A simple seven-day plan to turn the audit into product-page changes.

High impact / low effort

Do first: fast listing edits that address the most visible expectation gap.

High impact / medium effort

Plan next: changes that need creative, image, or operational support.

Monitor only

Watch: lower-priority signals that need more evidence before heavier work.