Best for
- Teams with underperforming Mailchimp automations
- Organizations using several branches and wait steps
- Marketers migrating from classic automations to automation flows
Map a Mailchimp Customer Journey or Marketing Automation Flow from trigger through branches, delays, emails, tags, and exits to identify where contacts stall, exit, or receive the wrong path.
A step-level journey diagnostic, branch and delay findings, remediation backlog, and controlled rerun plan.
Quick view
Check the audience, core tools, and access before you start the detailed steps.
Best for
Core tools
2 tools used across the workflow.
Access
Preview the open steps, then unlock the remaining implementation details and prompts.
Why this works
A journey can underperform because the starting point is too broad, a branch condition is wrong, a delay is mistimed, an email underperforms, or contacts never reach the intended goal. Mailchimp Marketing Automation Flows expose triggers, branches, delays, tag actions, email steps, and reporting signals needed to isolate the issue. Claude can reconstruct the path and compare step-level outcomes without assuming that every exit is undesirable. The workflow converts diagnosis into controlled edits and a measurement plan rather than rebuilding the entire journey at once.
Expected results
Records or configurations reviewed
100% of the approved in-scope population
The run reconciles every eligible record or configuration item to the signed source manifest rather than relying on an informal sample.
Evidence validation
Stratified QA before action
Every major finding class and high-impact segment is checked against source records before operational changes are approved.
Decision output
One owner-ready action register
Findings are converted into deduplicated actions with evidence, confidence, owners, approvers, deadlines, and rollback requirements.
Operational reuse
Versioned recurring runbook and Claude Skill
The same inputs, rules, prompts, schemas, validation gates, and metrics can be rerun while preserving a visible change history.
Step-by-step workflow
The first 2 steps are open. Pro unlocks the remaining steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and implementation details.
30-60 min
30-60 min
Capture starting points, filters, branches, waits, emails, tag actions, webhooks, goals, exit criteria, and contact re-entry behavior. Give every step a business purpose. Work from Mailchimp using journey ID, journey name, starting point, branch condition as the minimum evidence set. Complete this work in Mailchimp or the controlled working file; no Claude prompt is needed for this step. Save the finished artifact in the journey drop-off diagnosis with the run date, owner, evidence reference, confidence, and approval status. Treat timezone waits as a separate exception class and do not count it as failure unless the policy says so.
Diagram the Customer Journey logic completed as a dated section of the journey drop-off diagnosis, with journey ID, contacts entering each step, evidence links, owner, and approval status for shorten waits.
Do not let journey ID stand in for journey name; that shortcut creates false positives in customer journey drop-off. Document the result in the same run folder so the next cycle can compare like with like. Apply it specifically during “Diagram the Customer Journey logic.”
30-60 min
30-60 min
Pull journey step counts, send status, opens, clicks, goal events, tags, contact status, exit reason, timestamps, and downstream conversions. Capture starting point, branch condition, wait duration, email step in a dated working table before interpreting the result. Complete this work in Mailchimp or the controlled working file; no Claude prompt is needed for this step. Save the finished artifact in the journey drop-off diagnosis with the run date, owner, evidence reference, confidence, and approval status. Quality-check the result against a step has no measurable purpose, then route any contradiction to the named data owner.
Export journey and contact activity completed as a dated section of the journey drop-off diagnosis, with journey name, step-to-step continuation, evidence links, owner, and approval status for repair branch logic.
Keep manual approvals visible as its own class because merging it into the main failure rate will distort the decision. Document the result in the same run folder so the next cycle can compare like with like. Apply it specifically during “Export journey and contact activity.”
Pro workflow preview
Previewing 2 of 12 steps
Get the remaining 10 steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and ongoing workflow and prompt releases.
$9/month
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