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Manage email campaigns with MailerLite, Google Sheets and Claude via OpenRouter

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Created by: Pankstr || pankstr
Pankstr

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Last update 2 days ago

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Email Marketing Manager

What

  • Native n8n chat-operated AI employee for a single wellness SaaS brand
  • Handles three intents: send campaign, report campaign, reactivate cold subscribers

Why

  • Replace repetitive email manager execution work without pretending to replace brand judgment
  • Keep v1 narrow, testable, and draft-first for internal lists

Assumptions

  • Single brand only
  • Draft first
  • Reject unknown or mixed intents
  • One shared context node handles default information for every intent.
  • Generate subject + preview text + body
  • Log only task, status, time, IDs, and notes

Integrations

  • MailerLite (core email platform)
  • Google sheets
  • OpenRouter (or any AI)

Required setup before testing

  • Provide Openrouter credential or change it to openAI API.
  • Connect MailerLite HTTP Bearer Auth credential
  • Connect Google Sheets OAuth2 credential
  • Replace placeholder Google Sheet URL and verified sender email
  • Replace Postgres DB with others for chat memory.

SAMPLE INPUTS

  1. Send a campaign to long term VIP users.
    Goal: Introduce an early bird vip invite to personalised dietician.
    Key message: tailored diet buddy early access.
    CTA: Link to website
    Timing: today

  2. Give me a report for all campaigns

  3. I want to re-engage all the subscribers. Tempt with a free, limited time access (for 3 days) to personalised dietician. Share 1-2 reviews from customers on success with this feature.
    Real review data-{[ "I have to say I was skeptical at first, but I finally stopped emotional eating and have lost 3 lbs in 2 weeks!", "Been a long time user of Noom. Hit a ceiling and stopped using it. This new dietician helped me tweak my macros and micros for my vegetarian diet and back on track baby! Thanks guys 😍"]}

Enhancements

  • Provide brand voice via DB storage & retrieval for AI mail copy.
  • Make the emails multi modal.
  • Use RAG for context management & injecting better information to AI agent. (example : previous written samples)
  • Use native chat integrations for delivering to customers so you can integrate using Slack, WhatsApp, discord etc.

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