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Online training for the automotive sector·2026·Academia de Mecánica · Irati Etxandi
5
channel entry points that reach the CRM with their source tagged

The landing page that fills an info product's waitlist and knows which network each lead comes from

The waitlist landing page for Irati Etxandi's new advanced electronics course: an intro video, student testimonials and a form that sends every lead straight into the GoHighLevel CRM with the channel it came from.

Lead capture landing pageWaitlistGoHighLevel integrationChannel attributionSEO and GEO

From problem to solution

  1. 01 · The challenge

    Irati was about to open a new course for mechanics who want to specialise in advanced electronics, with limited places.

    Her audience was spread across TikTok, her personal Instagram and the academy's, and she needed to gather interested people before launch while knowing which network worked best, to decide where to push and who to contact first.

  2. 02 · What we did

    We designed a landing page with the motorsport look her community already recognises: a direct headline, a video of Irati explaining the course, real student testimonials and a clear call to reserve a place. The form is GoHighLevel's, so every sign up goes straight into the CRM, ready for the launch notification sequences. Each network has its own short address and the page turns that address into the lead's source, while also respecting campaign UTMs, so the CRM shows where each person came from without any manual setup.

How it comes together

Lead capture landing page
Waitlist
GoHighLevel integration
Channel attribution
SEO and GEO
Outcome0

Inside the project

formacion.academiairatietxandi.com
Waitlist landing page for Irati Etxandi's Academia de Mecánica, with the headline about training for the automotive sector and the intro video

Measurable results

0
Channel addresses
TikTok, personal and academy Instagram
Direct
Leads in GoHighLevel
No exporting or importing lists
UTM
Source of every lead
To see which network drives the most

Services used on this project

Tech stack used

  • React
  • Vite
  • Tailwind CSS
  • GoHighLevel

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