Identify Refund, Chargeback, or Return Spikes by Source/Product
Catch quality problems and fraud patterns before they become expensive trends.
A sudden spike in returns on a specific product or from a specific acquisition channel is an early warning sign of a quality problem, a misleading listing, or fraud — and catching it in 24 hours vs. 2 weeks can save tens of thousands in refund costs and protect your marketplace seller metrics. PayHelm's daily return spike monitor tracks refund and return rates by product, variant, and acquisition source, compares them against your 30-day baseline, and alerts you the moment a statistically significant spike appears.
No credit card required · 14-day free trial
30 min
Time saved per run
183 hrs
Annual hours saved
$6,159
Annual cost savings
Why automate this?
This task runs automatically every daily — no dashboards to check, no manual analysis to run.
Early quality detection
Return spikes on specific SKUs often signal manufacturing quality issues — catching this in 24 hours limits exposure.
Fraud pattern detection
Chargeback spikes from specific ad audiences or geographies indicate potential fraud patterns worth investigating.
Marketplace metric protection
High return rates on Amazon and eBay can trigger account warnings — early detection enables corrective action.
Source attribution
Returns attributed to specific marketing channels reveal whether a campaign attracted low-quality buyers.
How the agent runs this task
Every time this task runs, the agent executes these tools in sequence — connecting to your live data, analyzing it, and delivering results.
get_inventory_summaryPull return and refund data by product and order source
get_inventory_productsCross-reference returns with product quality attributes
get_ads_performanceIdentify acquisition sources correlated with higher return rates
export_to_emailDeliver spike alert with product and source breakdown
Example output
Here's what a real run of this task might produce — delivered to your inbox every daily.
Return Spike Alert — April 8, 2026 ⚠️ 2 spikes detected 1. Widget Blue v2 — Return rate 14.2% today (30-day avg: 2.1%) Pattern: All returns citing 'not as described — color different' Action: Review product photos and description accuracy Est. daily cost at current rate: $420 2. Chargeback spike — Facebook campaign 'Spring Lookalike' Chargebacks today: 4 (30-day avg: 0.3/day) Pattern: All from same geographic cluster Action: Pause campaign and report potential fraud
Set it up in minutes
No code. No configuration files. Just a conversation with the agent.
Chat: 'Alert me if any products or channels have unusual return or chargeback rates today'
Set your spike threshold (e.g., 2x 30-day average triggers alert)
Save as task → Daily at 8:30 AM
Investigate and act on flagged spikes immediately — speed of response is critical
Start automating your ecommerce store today
14-day free trial. No credit card required.