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 [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]. Business type: [BUSINESS_TYPE]. Step 1: calculate each step's rate and the overall rate, showing the arithmetic, and compare each with typical ranges for my business type, flagged as general benchmarks, not guarantees. Step 2: find the weakest step and follow its branch: 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. Step 3: for the weak step, produce a table: Hypothesis | Data that would confirm it | One test | Sample size reality check (how many orders per variant). Provide five rows. Compare devices and sources if provided. Do not recommend a change without a way to measure it.
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