SignalOPs Resources
Practical operating notes for ecommerce teams who need clearer answers on refunds, retention, repeat purchases, AOV, product mix, discount pressure, and store performance shifts.
Engineering guide
See how the agent inspects commerce leaks, calls typed tools, waits for approval, executes connector actions, and reports evidence back to the merchant.
Engineering guide
A developer guide to sending normalized orders into SignalOps so custom commerce, marketplace, and headless stores can still get leak detection.
Featured guides
Each guide answers a merchant question that showed up in search: why revenue moved, which products are driving refunds, where returning customers are weakening, and how order exports become decisions.
Start with refunds, discount pressure, repeat purchase decay, and product-level changes before a small leak becomes a revenue problem.
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A 60-minute checklist for diagnosing traffic quality, checkout friction, product mix, refunds, and returning customer movement.
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Diagnose whether the issue is conversion, refunds, returning customer revenue, discount quality, or product-level performance.
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A focused guide for spotting product-level refund spikes, defect patterns, return reasons, and early warning signals in order exports.
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Find the products that create second purchases, not just first-order revenue or short-term acquisition volume.
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Use an order export to isolate refunded orders, product-level risk, and revenue impact without mixing discounts, returns, and refunds.
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Use order exports to find product-level refund spikes, risky SKUs, and hidden revenue leaks before they distort your store reports.
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A practical CSV workflow to reconcile Shopify returns, refunds, exchanges, store credit, and product-level refund risk.
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Use this ecommerce diagnostic checklist to diagnose stable traffic but falling revenue across AOV, refunds, product mix, retention, and lifecycle gaps.
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Use this ecommerce revenue audit template to find issues across orders, refunds, AOV, retention, attribution, discounts, and product mix.
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A diagnostic workflow for ecommerce operators when ad-platform ROAS looks healthy but net revenue, margin, or repeat purchase is weakening.
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Revenue down? Use this ecommerce report checklist to find whether traffic, AOV, refunds, product mix, retention, or attribution is leaking sales.
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A diagnostic framework for ecommerce operators when ad ROAS looks strong but net revenue, profit, or customer quality is getting worse.
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Find which customers bought again within 30 or 60 days, which first products drove repeats, and which cohorts need lifecycle action.
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Learn how to measure repeat purchase rate year over year, avoid misleading cohort comparisons, and turn retention changes into lifecycle actions.
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Learn how to find SKU-level reorder windows from order exports so post-purchase flows trigger before repeat buyers disappear.
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Find which ecommerce products look strong in gross sales but leak revenue after refunds, discounts, low AOV, and weak repeat purchase behavior.
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A diagnostic guide to why ecommerce reports disagree across ads, analytics, orders, refunds, exports, marketplaces, and dashboards.
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Learn what counts as a true ecommerce repeat purchase, how to avoid false repeat-customer segments, and which order data rules to use.
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Learn where to measure repeat purchase rate over time by cohort, product, source, and reorder window so you can find retention leaks.
→More guides
Use these topic paths to move from revenue movement into refund risk, repeat purchase behavior, order data analysis, and store audit checklists.
Upload an order export and get a plain-English revenue leak diagnosis from SignalOPs.
Analyze Your Order Export