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GoHighLevel Pipeline for a Research Firm: From New Lead to Delivered Study

By Alex Regueiro · October 25, 2026 · 5 min read

A research firm can sell studies and still stall because nobody has defined what happens between a new lead and a delivered study. That was the gap at a B2B firm that sells studies to marketing executives: proposals went out as hand-built PDFs, discovery calls were booked by hand, and no path ran from first contact to finished work.

We defined and built the pipeline with the founder in one working session. Any service business that sells a project, bills in stages and hands over a finished report can use the same stages.

The situation

The firm sells research studies to marketing leaders at mid-sized companies. It needed a system that moved a prospect from interest to proposal to paid work to delivered study, and the only source of new leads was paid ads.

We covered both the sales path and the plumbing under it on a single call, with the founder making decisions as the stages took shape.

What was broken

Five gaps showed up, and they stacked.

  • No defined path from new lead to completed study.
  • Proposals went out as manual PDFs.
  • Discovery calls were scheduled by hand.
  • The firm's phone number could not send texts, because the domain was not tied to a compliant page.
  • There was no lead generation beyond paid ads.

What we built

We worked through the pipeline live. Every stage was defined, from new lead through study completion and review, and every stage got a named owner. The pipeline was built in GoHighLevel on the call. Then we added the pieces around it.

  • Proposals: sent through an e-signature tool connected to GoHighLevel, with a closed/won trigger, replacing the manual PDFs.
  • Invoicing: a payment processor invoice with a fixed service description, billed at two points, when the proposal is accepted and before final delivery.
  • Scheduling: Calendly discovery booking placed inside the pipeline, so the back-and-forth stops and each booking lands in the CRM.
  • Texting: a compliant website with dual opt-in checkboxes and a connected domain, so the firm's number can send texts.
  • Lead generation: a workflow that pairs a prospecting database with Claude and feeds the first pipeline stage. In the early stage it stands in for paid ads.
  • Content: the first of four planned short capability-explainer videos was filmed, aimed at marketing executives at mid-sized companies.
  • Positioning: the firm itself carries the credentials, and the founder is the personal connection in social outreach.

What changed

No outcome was reported from the call, and no lead had gone through the system yet.

The change is in how work moves. The pipeline moves each lead into a stage with an owner, books discovery through the CRM, sends a proposal that can be signed in place, and invoices at two fixed points. A warm lead was chosen as the first test, with a video call later that week to confirm everything was live.

Define your stages before you build them

This section is advice for your own business. Write one line per stage: what moves a deal in, what moves it out, and who owns it. Put your billing points in the same list, so the pipeline and the invoices agree.

Then pick one warm lead as the first test. A real person exposes gaps that a dummy contact hides.

Frequently asked questions

How should a research firm structure a GoHighLevel pipeline?

Start with the full journey, from new lead through study completion and review, and give every stage one owner. Here the stages were defined live with the founder, then built in GoHighLevel with proposals, invoicing and discovery booking connected to them.

Why put discovery call booking inside the pipeline?

Discovery calls were booked by hand, which was one of five gaps on the call. In this build, Calendly discovery booking sits inside the pipeline, so a booking is tied to a lead in the CRM instead of living in an inbox or a calendar on its own.

Can outbound prospecting replace paid ads for a new service offer?

That was the plan for the early stage here: a prospecting database paired with Claude, feeding the first pipeline stage. We have no result on it yet, so treat it as a design to test, not as proof that outbound beats ads.

When should invoices go out on a project engagement?

In this build, billing happened at two points, when the proposal is accepted and before final delivery, with a fixed service description on the invoice. Tying both points to pipeline stages keeps billing from depending on someone remembering to send it.

If your proposals, bookings and invoices still run on manual steps, book a 30-minute AI follow-up and reporting audit. We map your path from first contact to delivered work and show you where a pipeline would take over.