Returns and Refunds Analysis

Returns are expensive — handling, postage, restocking, and write-offs. But the less obvious impact is on marketplace seller metrics. Amazon suspends sellers whose return rate exceeds category thresholds. eBay and Etsy factor return rate into search ranking algorithms.

For direct-to-consumer Shopify stores, high return rates signal a problem — with product quality, sizing, product descriptions, or traffic quality (wrong customers buying). Catching this early via data prevents it compounding.

AskBiz tracks return rate for every product across every connected channel, updated daily.

Go to Finance → Returns & Refunds to see:

• Overall return rate (returns ÷ orders)
• Return rate by product and variant
• Return rate by channel (Shopify, Amazon, etc.)
• Return rate by traffic source (if Google Analytics is connected)
• Return rate trend over time (is it rising, falling, or stable?)
• Return value (total £ value of returned orders in the period)
• Net revenue (gross revenue minus returns)

The Returns Heatmap view shows return rate by product category and by month — useful for spotting seasonal return spikes (e.g. post-Christmas fashion returns are structurally high).

Return reason data is gold — it tells you exactly why customers are unhappy. AskBiz imports return reasons from Shopify returns, Amazon return reports, and any custom return reason fields you have set up.

Common return reasons and what they signal:

| Return reason | Likely root cause |

|---|---|

| Not as described | Product description or images inaccurate |

| Wrong size | Size guide absent or unclear |

| Defective / damaged | Quality control or packaging issue |

| Changed mind | Impulse purchase — may indicate discount-driven traffic |

| Arrived late | Fulfilment or carrier issue |

| Better price found | Competitive pressure — review pricing |

For products with return rates above 10%, go to Products → [product] → Return Reasons to see the breakdown. Fix the most common reason first.

Rather than monitoring return rates manually, set automated alerts for products whose return rate crosses a threshold.

To set up return rate alerts:

1. Go to Intelligence → Alerts → New Alert

2. Select metric: Return Rate

3. Set threshold: e.g. 'Alert me when any product's 30-day return rate exceeds 15%'

4. Choose alert channel: in-app, email, or both

5. Save

AskBiz will alert you when a product hits the threshold, so you can investigate before the return rate compounds and damages your marketplace seller metrics.

The fastest return rate reduction comes from better product listings. If 'not as described' and 'wrong size' account for 60%+ of your returns, you have an information gap problem — customers cannot make accurate purchase decisions from your current listing.

High-impact listing improvements:

• Add a detailed size guide with body measurements (not just S/M/L)
• Add a video showing the product in use (reduces 'not as expected' returns by 20–30% for complex products)
• Update the product description to include key dimensions, materials, and compatibility information
• Add before/after, scale, or lifestyle images that accurately represent size
• Add a 'Fits true to size' or 'Runs small — order up' note from verified purchase data

AskBiz can surface which products have both high return rates and 'not as described' return reasons — these are your highest-priority listing improvements.