Conversion Funnel Diagnosis Decision Tree
Locate where visitors drop off and test fixes.
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Diagnose my store's conversion funnel. Funnel numbers for the period [PERIOD]: sessions [SESSIONS]; product page views [PRODUCT_VIEWS]; add to cart [ADD_TO_CART]; checkout started [CHECKOUT_STARTED]; orders [ORDERS]. Segments (device, source) if available: [SEGMENT_DATA]. Work as a decision tree: Step 1: compute each step's rate and compare with typical ranges for [BUSINESS_TYPE] (flag these as general benchmarks and not guarantees). Step 2: identify the weakest step. IF sessions to product views is weak THEN check traffic quality, landing pages, navigation, site speed. IF product views to add-to-cart is weak THEN check pricing, images, reviews, size information, stock status. IF add-to-cart to checkout is weak THEN check shipping costs shown late, cart design, trust signals. IF checkout to order is weak THEN check form length, payment options, errors, surprise fees. For the weakest step, give five hypotheses, the data that would confirm each, and one test per hypothesis with sample size reality check. Compare devices and sources if provided. Do not recommend changes without a way to measure them.
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