Audit intermediate Works with: Any AI

Abandoned Cart and Checkout Friction Audit From Funnel Numbers

Table output

Find the biggest drop-off and test explanations.

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Audit my store's checkout funnel. Numbers for the last [PERIOD]: sessions, product page views, add to cart, reached checkout, completed purchase, mobile versus desktop split, and shipping and payment options offered: [FUNNEL_DATA]. Checkout settings I know about (guest checkout, shipping costs shown, payment methods): [CHECKOUT_SETTINGS].

Calculate the conversion rate between each stage and overall, and the drop-off at each stage, with the arithmetic. Compare mobile and desktop. Identify the biggest drop and list plausible reasons (unexpected shipping cost, forced account creation, limited payment options, slow pages, unclear returns), each with a way to check, such as reading customer questions or testing the checkout myself. Make a table with Stage, Rate, Hypothesis, Test, and Effort. Propose three tests in order with success measures, and cautions about small sample sizes.

Use my data only; do not claim benchmarks. Mark Shopify settings and report names [VERIFY].

Add a worked funnel: 10,000 sessions, 4,200 product views (42 percent), 600 add to cart (14.3 percent of views), 250 reached checkout (41.7 percent), 90 purchases (36 percent), overall 0.9 percent; the biggest relative drop is between checkout and purchase, so the first hypothesis is shipping cost surprise, with a way to test.

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