3 AI workflows under the "Checkout Abandonment and Optimization" topic. Each includes a copyable prompt and FAQs. Paste them into your preferred AI assistant or Spark agent and run it.
The merchant knows orders are lost inside checkout but not which step loses them. In this case, the immediate task is to identify where shoppers exit the checkout process. The output should be a step-by-step drop-off view naming the largest exits and the device, region and payment conditions recorded at those steps.
The team disagrees about why shoppers leave checkout, and none of the explanations offered so far is backed by the funnel data. In this case, the immediate task is to investigate evidence behind checkout abandonment. The output should be a drop-off report pairing each exit with the step records, errors and payment or shipping conditions that support it.
Two dashboards report different checkout completion rates because each one counts starts and completed orders differently. In this case, the immediate task is to measure checkout completion using a consistent definition. The output should be one written definition applied across devices and regions, with the counts reconciled.
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