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Hexona Systems

High-ticket dating and relationship coaching

Thousands of leads arrived every month and nobody could tell which ones could afford to buy.

A dating and relationship coach with millions of followers across Instagram, YouTube and TikTok, selling coaching programmes that start at $10,000.

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Found before the build
15+ hrs/wk
15+ hours a week filtering leads by hand
Result
34x
Return on the automation build
Window
Not stated
The source does not state one. See how this was measured, below.

The situation

That audience produced thousands of inbound leads a month, and the overwhelming majority were unqualified, unresponsive or simply not ready. With no structured qualification in front of them, a small sales team spent its days on calls with people who were never going to commit, while genuinely high-intent prospects waited days for a reply and drifted away.

What we found

  • Sales team filtering leads by hand15+ hrs per week
  • Every missed high-intent lead, against a $10,000 entry priceFive figures each
  • Ad spend running into leads nobody was filtering or nurturing
  • High-value prospects waiting days for a first response

What we built

  1. 1A scoring model reading lead form responses and rating each one on financial readiness, commitment level, urgency, and prior experience with coaching
  2. 2Automatic segmentation into three tiers: hot leads to an agent for immediate qualification and booking, warm leads into nurture, cold leads into long-term follow-up
  3. 3Agents engaging the high-scoring leads in real conversations over text, WhatsApp and email, handling objections and sharing testimonials, and booking a human closer only once the lead met the criteria
  4. 4One CRM holding all lead data, conversations and history
  5. 5Personalised automated follow-up for unresponsive leads, and trigger-based sequences holding warm leads in

What changed

  • 34x return on the automation build
  • Lead-to-close rate doubled, because only serious buyers reached a human closer
  • 20% more leads nurtured and re-engaged that would otherwise have been lost
  • Sales team workload down 60%
  • Conversion up 40% on response time alone, with hot leads engaged within minutes
  • Fifteen or more hours a week of manual filtering eliminated
  • Five times the lead volume handled without adding staff

How this was measured

Close rates, response times and team workload were tracked in the client GoHighLevel instance against the period before the build. The 34x figure is the return on the automation investment as the client calculated it; the build cost behind it is not published here, so that multiple cannot be reconstructed from this page.

The client’s name is withheld by agreement. The figures are unaltered.