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Sales and marketing team, Dubai, UAE

A Dubai Sales Team: Closing the Gap Between Google Ads Leads and the CRM

A Dubai sales team stopped retyping Google Ads email leads into GoHighLevel CRM, with AI now extracting, scoring and filing each lead. Zero leads have been missed since setup.

  • 95% Reduction in manual lead processing time
  • 80% Faster lead response
  • 100% Lead capture rate from email inquiries
  • 90% Reduction in data entry errors
  • 250% Improvement in lead qualification accuracy
  • $180K+ Annual savings in sales operational costs (150% ROI)
  • 50+ hours Saved per week

The problem

The sales team received a high volume of Google Ads inquiries by email. Staff copied each prospect's details from Gmail into GoHighLevel CRM by hand, which was slow and error-prone. Leads sat scattered across inboxes, follow-up was inconsistent, lead qualification was inaccurate, and opportunities were lost.

  • Prospect details copied by hand from Gmail into GoHighLevel CRM
  • Email leads scattered across inboxes, causing inconsistent follow-up
  • Gmail and GoHighLevel were not connected
  • Manual processing led to inaccurate qualification and lost sales

What we built

We built a Make.com workflow that starts when a lead email reaches Gmail. OpenAI ChatGPT extracts the contact details, identifies the type of inquiry (product interest, pricing or demo) and calculates a lead score. Make.com then creates a full contact profile in GoHighLevel, including the score and inquiry type, and the sales team receives a real-time notification that a qualified lead is ready for follow-up.

Tools: Google Ads, Gmail, Make.com, OpenAI ChatGPT, GoHighLevel CRM

How we ran it

Every engagement follows The Claro Build Framework.

  1. Assess: We reviewed how Google Ads inquiries travelled from email into the CRM and identified manual retyping and the gap between Gmail and GoHighLevel as the source of delays, errors and missed leads.
  2. Design: We designed an extraction and scoring flow that turns each lead email into structured data covering contact details, inquiry type and lead score, ready for the CRM.
  3. Build: We built the Make.com workflow connecting Gmail, ChatGPT and GoHighLevel, with automatic profile creation and real-time alerts to the sales team.
  4. Sustain: Handover followed The Adoption Standard: a structured 45-minute handover call, with documentation written as the workflow was built.

The result

Manual lead processing time fell by 95 per cent and lead response became 80 per cent faster. Every email inquiry is now captured, data entry errors are down 90 per cent, and the team reports zero missed leads since setup. The team saves more than 50 hours a week and reports more than $180,000 in annual savings.

Client name withheld for confidentiality.