Calendly No-Show Pattern Analyzer

AI-powered monthly no-show pattern analysis — overall trends, day/time patterns, lead time effects, deal stage correlation, and booking source analysis with scheduling policy recommendations.

Analyzes Calendly booking outcomes monthly cross-referenced with Pipedrive deal context. Identifies no-show patterns by day of week, time of day, booking lead time, deal stage, and event type. Generates specific policy recommendations (scheduling windows, reminder timing, booking friction, overbooking). Notion no-show report + Slack policy digest. 28-node n8n workflow with 5 agents and monthly scheduler. BQS 12/12 certified.

triggerSchedule01FetcherCalendly API02EnricherPipedrive CRM03Assembler5 Dimensions04AnalystPattern Score05FormatterBrief + DigestNotionPattern BriefSlackNo-Show Digest

Five Agents. Monthly No-Show Intelligence. Calendly + Pipedrive.

The Fetcher

Step 1 — The Fetcher

Code-only

Retrieves event-level booking data from Calendly API for the current and prior months — scheduled events, cancellations, no-shows, event types, invitee details, booking times, and lead time (days between booking and event). Pulls historical event records for pattern analysis.

The Enricher

Step 2 — The Enricher

Code-only

Matches Calendly invitees to Pipedrive CRM contacts by email address. Retrieves deal stage, deal value, lead source, and account details to correlate no-show patterns with deal health and sales pipeline position.

The Assembler

Step 3 — The Assembler

Code-only

Computes 5 no-show pattern dimensions: overall trends (no-show rate with MoM delta), time patterns (no-show rate by day of week and time of day), lead time effects (correlation between booking lead time and no-show probability), deal stage correlations (no-show rate by Pipedrive deal stage), and booking source effectiveness (no-show rate by referral source or UTM).

The Analyst

Step 4 — The Analyst

Tier 2 Classification

Analyzes no-show patterns for prevention insights: which time slots have highest no-show risk, whether longer lead times increase no-shows, which deal stages see most no-shows, and which booking sources produce reliable attendees. Generates prioritized prevention recommendations with evidence.

The Formatter

Step 5 — The Formatter

Tier 3 Creative

Generates a Notion monthly no-show intelligence report with trend analysis, time pattern heatmap data, lead time correlation, deal stage breakdown, and source effectiveness, plus a Slack digest with top 3 no-show prevention actions.

What It Does NOT Do

×

Does not send reminders or modify Calendly events — read-only analysis of historical patterns

×

Does not predict individual no-shows in real-time — use No-Show Predictor (#14) for per-meeting risk scoring

×

Does not modify Pipedrive deals — CRM data is read-only for enrichment

×

Does not replace scheduling optimization tools — it provides pattern intelligence for scheduling strategy

×

Does not guarantee reduced no-shows — it identifies patterns for your team to act on

The Complete Customer Success Bundle

6 files. Main workflow + scheduler + prompts + docs.

calendly_no_show_pattern_analyzer_v1_0_0.json — Main workflow (28 nodes)
calendly_no_show_pattern_analyzer_scheduler_v1_0_0.json — Scheduler workflow (3 nodes)
README.md — 10-minute setup guide
docs/TDD.md — Technical Design Document
system_prompts/analyst_system_prompt.md — Analyst prompt (no-show pattern analysis)
system_prompts/formatter_system_prompt.md — Formatter prompt (Notion + Slack)

Tested. Measured. Documented.

Monthly no-show pattern analysis from Calendly enriched with Pipedrive CRM data across 5 dimensions: overall trends, time patterns, lead time effects, deal stage correlations, and booking source effectiveness.

Calendly No-Show Pattern Analyzer v1.0.0──────────────────────────────────────────Nodes:        28 main + 3 scheduler (31 total)Agents:       5 (Fetcher, Enricher, Assembler, Analyst, Formatter)LLM Calls:    2 per run (Analyst + Formatter)Model:        Sonnet 4.6 (SINGLE-MODEL)Trigger:      Schedule (monthly 1st 9:00 UTC) + WebhookPattern:      BATCH (monthly no-show pattern analysis)Tool A:       Calendly (API key) — event bookings, cancellations, no-showsTool B:       Pipedrive (pipedriveApi) — deal stage, value, source enrichmentTool C:       Notion (httpHeaderAuth) — monthly no-show intelligence reportTool D:       Slack (httpHeaderAuth) — digest with top 3 prevention actionsITP:          8/8 records, 14/14 milestonesBQS:          12/12 PASSCost:         $0.03–$0.10 per run

What You'll Need

Platform

n8n 2.7.5+

Est. Monthly API Cost

Monthly cost ~$0.03-0.10/run

Credentials Required

  • ▪Anthropic API
  • ▪Calendly (API key)
  • ▪Pipedrive (API token, pipedriveApi)
  • ▪Slack (Bot Token, httpHeaderAuth Bearer)
  • ▪Notion (httpHeaderAuth Bearer)

Services

  • ▪Calendly account with event history
  • ▪Pipedrive CRM
  • ▪Anthropic API key
  • ▪Notion workspace
  • ▪Slack workspace (Bot Token with chat:write)

Setup Track

Quick Start

~15 min

All credentials live, n8n running

Full Setup

1–2 hrs

Needs API config + tables

From Scratch

2–4 hrs

No n8n, no credentials

Calendly No-Show Pattern Analyzer v1.0.0

$199

one-time purchase

What you get:

  • ✓Production-ready n8n workflow (28 nodes + 3-node scheduler)
  • ✓5-dimension no-show pattern analysis (overall trends, time patterns, lead time effects, deal stage correlations, booking source effectiveness)
  • ✓Overall no-show rate tracking with month-over-month delta
  • ✓Time pattern analysis showing highest-risk days and time slots
  • ✓Lead time correlation revealing optimal booking window for attendance
  • ✓Deal stage no-show correlation from Pipedrive CRM enrichment
  • ✓Booking source effectiveness ranking by no-show rate
  • ✓Notion monthly no-show intelligence report with full analysis
  • ✓Slack digest with top 3 no-show prevention actions
  • ✓Configurable: event types, lookback period, lead time buckets, source mapping
  • ✓Full technical documentation and system prompts

Frequently Asked Questions

What are the 5 no-show pattern dimensions?+

Overall trends track no-show rate with MoM delta. Time patterns analyze no-show rate by day and hour. Lead time effects measure correlation between booking-to-event gap and no-show probability. Deal stage correlations show no-show rate by Pipedrive deal stage. Booking source effectiveness ranks sources by attendee reliability.

How does Pipedrive enrichment work?+

The Enricher matches Calendly invitee email addresses to Pipedrive contacts. When a match is found, the deal stage, value, and source are attached to the event record. This enables no-show analysis by deal stage and value, connecting scheduling behavior to pipeline health.

What if some invitees are not in Pipedrive?+

The Enricher handles unmatched invitees gracefully. Events without Pipedrive matches are included in time pattern, lead time, and source analysis but excluded from deal stage correlations. The report notes the match rate as a data quality indicator.

Is there a refund policy?+

All sales are final after download. Review the Blueprint Dependency Matrix and prerequisites before purchase. Questions? Contact support@forgeworkflows.com before buying. Full terms at forgeworkflows.com/legal.

Read the full guide →

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