Audit advanced Works with: Any AI

Checkout Funnel Drop-Off Analysis

Decision tree Has example

Locate abandonment points and recommend fixes using funnel data.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

Diagnose where and why shoppers abandon my checkout. Store type and platform: [STORE_AND_PLATFORM]. Funnel numbers: cart views, checkout started, shipping step, payment step, orders completed (with device split if known): [FUNNEL_NUMBERS]. Description of the checkout steps and fields: [CHECKOUT_DESCRIPTION].

Calculate the step-to-step rates and show the arithmetic. Then take the weakest step through this tree:
IF cart to checkout start is weak THEN check cart clarity, surprise costs, shipping estimates before checkout, trust signals, and guest checkout availability.
IF checkout start to shipping step is weak THEN check forced account creation, form length, address autofill, and slow loading.
IF the shipping step is weak THEN check delivery options, costs, delivery date clarity, and errors for valid addresses.
IF the payment step is weak THEN check payment methods for my market, security reassurance, validation errors, mobile keyboard types, and redirects that confuse.
IF mobile is much weaker than desktop THEN check tap targets, field types, and speed.

For the weak step, list five hypotheses, the evidence needed from analytics or session recordings, and one test each with a metric. Add recovery tactics (abandoned cart emails that comply with consent rules). Warn about small samples and say what number of orders is needed before trusting a test.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

Rates: cart to checkout 38/100 = 38%; checkout to shipping 29/38 = 76%; shipping to payment 14/29 = 48% (weakest); payment to order 12/14 = 86%.
Branch: shipping step is weak. Mobile completes this step at 31% versus 62% on desktop.
Hypotheses: (1) shipping costs appear first here (surprise); (2) address form lacks autofill; (3) delivery dates unclear; (4) slow load on mobile; (5) errors on valid addresses.
Evidence needed: session recordings of 20 mobile shipping sessions; error logs.
Test 1: show estimated shipping in the cart. Metric: step 3 rate. Sample: at least 400 checkouts per variant (estimate).

• checkout
• ecommerce