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Calendly Event Type Optimizer

Make booking pages convert and qualify better.

Improves the meeting funnel by fixing confusing or low-performing Calendly event types.

Best forConsultingMarketing AgencySaaS
Agents7 required
Duration5-10 minutes

Analyzes booking patterns across event types to identify friction, confusing names, low-converting forms, and duration mismatches.

How it runs

Multi-agent orchestration — here's the flow, step by step.

01

Call verslay_recall to retrieve prior booking performance baselines and event-type settings stored in memory. Then call calendly-meeting-automation-agent to list all active event types, their durations, availability windows, buffer times, and booking URLs. Pull the last 30 days of scheduled events per type to capture volume, no-show rates, and rescheduling counts. Store raw event-type data as Phase 1 output.

scheduling scanner
02

Run verslay_news_search and verslay_web_search targeting 'meeting scheduling optimization best practices', 'optimal meeting duration conversion rates', and 'Calendly event type setup B2B SaaS'. Pull three to five research sources on ideal scheduling cadences by meeting type (discovery, demo, onboarding). Pass benchmark findings to Phase 3.

web researcher
02

In parallel with web-researcher, call verslay_reddit_search on r/sales, r/smallbusiness, and r/entrepreneur targeting 'Calendly booking friction', 'meeting no-shows', and 'scheduling pain points'. Identify the top five community-reported friction patterns (e.g., too-long durations, inconvenient time windows, missing reminders) and pass them as a friction-pattern list to Phase 4.

sentiment analyst
03

Consume Phase 1 event-type data. For each event type, compute booking-to-show rate, average lead time from booking to meeting, and peak booking hours. Cross-reference availability windows against no-show patterns to flag under-optimized slots. Produce a per-event-type performance scorecard.

calendly meeting automation agent
04

Consume Phase 1 raw data, Phase 2 benchmarks, Phase 2 friction patterns, and Phase 3 scorecard. Call verslay_chart_create to generate a booking-volume-by-event-type bar chart and a show-rate-by-time-window heatmap. Apply industry benchmarks from Phase 2 to gap-score each event type. Produce ranked optimization recommendations (duration, buffer, availability, reminder cadence) for each event type.

data analyst
05

Consume Phase 4 ranked recommendations and charts. Write a concise optimization brief per event type — current state, benchmark gap, specific setting changes to apply, and expected improvement. Call verslay_memorize to store updated event-type baselines and optimization actions in memory.

executive briefing writer
05

Receive the optimization brief from executive-briefing-writer. Deliver the final report to the configured Slack channel or email address. Confirm delivery and log send timestamp.

distributor

Required Agents

7
  • scheduling-scanner
  • web-researcher
  • sentiment-analyst
  • calendly-meeting-automation-agent
  • data-analyst
  • executive-briefing-writer
  • distributor

Connections

Required

calendly

What it does

  • Event-type performance review
  • Duration mismatch detection
  • Qualification question suggestions
  • Naming recommendations
  • Retirement candidates

Example prompt

Review our Calendly event types. Recommend better names, durations, routing, qualification questions, and which event types to retire.

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