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Interrogate my launch-week sales through AI and find the waitlist effect

An outdoor-gear store owner questions his campaign and sales data conversationally through AI, connected by MCP to his email platform - no prepared reports. Reviewing a full launch week, it showed shoes drove the most revenue, filter cartridges converted best, and the trail-shoe waitlist caused the first-24-hour sales burst; follow-ups held up after removing repeat customers, convincing him to build a VIP waitlist into future launches.

How it works

  1. Connect the AI to the email platform via MCP
  2. Ask launch-week questions across campaign and sales data
  3. Drill into waitlist timing and buyer segments
  4. Re-run with repeat customers removed
  5. Decide to make VIP waitlists standard for launches

Why it’s worth knowing

The insight that changed his launch playbook - the waitlist, not the launch blast, drove day-one sales - came from chatting with his own store data, not a dashboard.

Where it’s from

Summarized from a public post on reddit.com. See the original ↗

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