Calendar Booking Flow Support
Embed inline Cal.com scheduling widgets in every solution-aware CTA surface so prospects self-schedule without friction. Validate speed-to-meeting improvement, scale across all high-intent pages, and converge on the local maximum via autonomous agent-driven A/B testing.
npx gtm-skills add marketing/solution-aware/calendar-flow-supportOutcome
≥ 3 meetings booked via inline calendar from ≤ 30 CTA impressions in 7 days
Leading Indicators
- Booking completion rate (target ≥ 10%)
- Time from CTA click to confirmed booking (target < 5 min)
- Show rate (target ≥ 80%)
Instructions
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Run the meeting-booking-flow drill: create a Cal.com 'Discovery Call' event type (30 min, 15-min buffers, 24-hour minimum notice, 14-day window) with 2-3 booking form questions (Company name, What are you evaluating?, How did you find us?). Build an n8n webhook that creates an Attio Person + Company + Deal at 'Meeting Booked' stage on each booking.
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Choose your single highest-intent page (pricing, Book a Demo, or comparison page). Use the calcom-inline-embed fundamental to place the inline widget below the primary value proposition with a clear heading: 'Pick a time — 30-minute discovery call'. Add UTM: ?utm_source=website&utm_medium=inline-embed&utm_campaign=smoke-test.
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Test the embed end-to-end: load the page, verify available slots render, book a test meeting, confirm n8n webhook fires and Attio record is created.
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Track impressions and bookings in a spreadsheet or Attio notes. Optionally add PostHog calendar_widget_loaded and meeting_booked capture calls from the calcom-inline-embed fundamental.
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Drive 30 solution-aware prospects to the page over 7 days: email pipeline contacts with the link, add to email signature, replace standalone Cal.com links in outbound CTAs.
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After 7 days, run the threshold-engine drill: count page visitors, bookings, show rate. PASS (≥ 3 bookings from ≤ 30 impressions) → proceed to Baseline. MARGINAL (1-2) → check availability, embed visibility, audience fit, re-run. FAIL (0) → check widget rendering, scroll depth, audience intent.
Recommendations
Time
4 hours over 1 week
Play-specific cost
Free