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n8n Workflow: Luma Triage Approvals w/ Attendance History + Telegram

n8n Workflow: Luma Triage Approvals w/ Attendance History + Telegram

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n8n Workflow: Luma Triage Approvals w/ Attendance History + Telegram

n8n Workflow: Luma Triage Approvals w/ Attendance History + Telegram

Regular price £77.99
Regular price £77.99 Sale price
SAVE Sold out

Turn Luma approvals into a data-driven triage—with Telegram proposals

This n8n workflow automatically uses your Luma event attendance history stored in n8n Data Tables to triage upcoming approval and waitlist queues. It then sends a Telegram proposal to approve or skip suggested guests—optionally updating guest status via the Luma API.

What this workflow does

  • Runs on a manual trigger, a daily 9:00 schedule, or a form submission to handle past imports, CSV-based analysis, or upcoming-event checks via the Luma API (or mock data).
  • Creates and maintains Data Tables (events, attendance, snapshots, and actions) to persist:
    • Per-event attendance history
    • Historical show-up performance
    • Guest-list snapshots
    • Previously recorded approval actions
  • Imports past events by parsing an uploaded Luma guest CSV, normalizing and hashing guest emails, then storing attendance plus event-level show-up rates. It sends an attendance recap to Telegram.
  • Analyzes upcoming events by fetching the guest list from the Luma API (or parsing an upcoming CSV), loading historical attendance and the last event snapshot, and replaying prior actions.
  • Computes expected attendance using per-person show-up rates blended with a global average, then groups the waitlist/pending approvals by past behavior.
  • Proposes approvals to hit the target fill while respecting the overbooking limit, and saves a snapshot for “since last check” comparisons—posting status updates to Telegram (and optionally updating status via the Luma API).

Use cases

  • Reduce overbooking risk for Luma-based events by approving guests based on historical attendance likelihood.
  • Process guest CSV uploads to continuously improve approval decisions over time.
  • Centralize approval triage notifications in Telegram for faster, consistent ops workflows.

Technical details

  • n8n nodes/logic used: if, set, code, form, crypto, switch
  • Core features: n8n Data Tables, email normalization + hashing, guest-list snapshots, and Telegram messaging
  • Optional integration: update guest status via the Luma API
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