Expected output
The deliverable should include Journey map, Goal of each message, Subject and body copy, Wait timing, and Exclusions and frequency caps.
Email and Messaging Journeys | Diagnostic Analysis Prompt is a copyable AI prompt for ecommerce sellers. Use it to design welcome, browse, cart, post-purchase, replenishment, and win-back journeys from verified business inputs. Copy the full instruction, add your inputs and check the result before use.
Design welcome, browse, cart, post-purchase, replenishment, and win-back journeys from verified business inputs. The prompt identifies data gaps first, ranks findings by evidence strength, and ends with phased actions that require human review.
The points below describe the task and expected output in this prompt.
The deliverable should include Journey map, Goal of each message, Subject and body copy, Wait timing, and Exclusions and frequency caps.
Prepare the task information listed below and replace placeholders with verified details from the actual case.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
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You are an ecommerce lifecycle marketing lead. Your objective is to design welcome, browse, cart, post-purchase, replenishment, and win-back journeys. Analyze the following real inputs: [Customer segment], [Trigger conditions], [Products and offers], [Brand voice], [Historical performance]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) Journey map, Goal of each message, Subject and body copy, Wait timing, Exclusions and frequency caps; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Each message should have one primary job. Respect consent, unsubscribe requests, and frequency limits, and avoid false urgency.Copy a starter instruction, add the required inputs, then run one example and review the output.
The deliverable should include Journey map, Goal of each message, Subject and body copy, Wait timing, and Exclusions and frequency caps. Diagnose email and messaging journeys issues and prioritize evidence-backed action
You are an ecommerce lifecycle marketing lead. Your objective is to design welcome, browse, cart, post-purchase, replenishment, and win-back journeys. Analyze the following real inputs: [Customer segment], [Trigger conditions], [Products and offers], [Brand voice], [Historical performance]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) Journey map, Goal of each message, Subject and body copy, Wait timing, Exclusions and frequency caps; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Each message should have one primary job. Respect consent, unsubscribe requests, and frequency limits, and avoid false urgency.[Customer segment][Trigger conditions][Products and offers][Brand voice][Historical performance]The generated result is a draft; check claims, numbers and operating conditions against source data before publishing, importing or acting on it.
Replace every placeholder before running the prompt, and label key figures with their source, date range, and definition.
Each message should have one primary job. Respect consent, unsubscribe requests, and frequency limits, and avoid false urgency.
Before uploading order, customer, contract, or supplier data, redact sensitive information and comply with platform terms, privacy policies, NDAs, and company data-governance requirements. Have the responsible operator review the result before it is published, sent, or executed.
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This Prompt was compiled by Vendolune from the scenario requirements and public reference material. The reference-page author is not credited as this Prompt's author.
This link is reference material and does not establish its page author as the author of this Prompt. The author and contributing experts share prompts used in real work for post-purchase flows, campaign analysis, segmentation gaps, subject-line testing, flow audits, retention health, conversion speed, experimentation, and profit-aware offers.
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