Diagnosing Shopify Traffic That Fails to Convert

Executive Brief

Small Shopify stores are getting real traffic (social pages, paid ads, site visits) but not converting it into consistent orders — sales stay sporadic, suddenly collapse (one owner reported ~9,112 sessions with a full zero-order week, AOV ~₹12k), and shoppers browse without buying. Owners cannot tell whether the leak is a trust gap (no reviews), weak product pages, checkout friction, or low-quality traffic, so they guess, redo the theme (one owner rebuilt the site twice), pause ads, and keep losing revenue. Evidence: 4 distinct users across r/shopify and r/ecommerce between Jul 8–25, 2026, all asking the same diagnostic question ('how do I start making sales?', 'what changed?', 'traffic but no sales'). Web research confirms the same leak taxonomy (trust/product page/checkout/traffic quality) and that pinpointing the leak requires a structured diagnosis from store analytics plus behavior data — precisely the systematic step these owners are missing. The opportunity is a conversion diagnosis and recovery assistant that reads store funnel data, names the dominant leak, and serves a prioritized, store-specific fix playbook. Demand is real but modest (core keyword ~10/mo; supporting CRO keyword ~590/mo), and competition exists but is fragmented; a focused wedge on solo apparel/handcrafted merchants with stalled or collapsing sales is credible.