The sale lived in one place
The lab offer and checkout worked, but the operational journey after purchase was not visible as one connected process.
Representative implementation
From scattered follow-up to one clear operating system.
How a lab-driven hormone and metabolic practice can use Greatclicks to connect the journey from lab purchase through program enrollment—without replacing its clinical systems.
This is a representative composite scenario. No patient or client-identifying information is shown.
New client case study
Read the case study ↗Built from scratch for Inception Telehealth.
538 leads, 54 new patients, and 15+ staff hours saved each week.
Connected journeyGHL operational layer
09defined lifecycle stages
04connected system layers
01shared operating view
01
Lab purchased
→02
Testing
→03
Results ready
→04
Review booked
→05
Program recommended
→06
Enrolled
The context
A strong care model with a fragmented operational layer.
The practice already had clear clinical expertise, defined lab packages, and longer-term care programs. The gap appeared between those moments: knowing who had purchased, who had tested, who was ready for review, and who needed enrollment follow-up.
Greatclicks approached the project as a journey-design problem first, then used GHL, automation, and focused AI to support the handoffs around care.
Before Greatclicks
The patient journey existed. The system around it did not.
Testing relied on memory
Staff had to remember who had completed testing, whose results were ready, and who still needed a review appointment.
Follow-up lost context
Program recommendations, payment conversations, and onboarding steps were tracked across notes, inboxes, and manual lists.
What we built
One system, built around the real sequence of care.
One lifecycle model
Nine defined stages give the team a shared view from first lab interest through ongoing care.
Stage-aware follow-up
Approved messages and task prompts are triggered by where a person is in the journey—not by a disconnected campaign calendar.
Approved answers at the front door
A focused AI assistant handles package questions and guides prospective patients toward the appropriate next step.
A daily attention list
The team can quickly see which journeys need human follow-up without manually digging through GHL.
Practice intelligence
A useful answer to “Who needs attention today?”
Instead of searching contacts and pipelines manually, the practice can receive a concise operational summary built from its own journey stages.
Daily attention brief8:00 AM
Results ready, review not booked7
Recommendation follow-up due4
New lab leads awaiting reply6
Ask Greatclicks AI
Show me the journeys that need a human follow-up today.
→The operational outcome
Less reconstruction. More clarity at every handoff.
A single source of operational truth
The team works from one defined journey instead of reconstructing status across separate tools.
Clear ownership at every handoff
Each stage has an expected next action, making it easier to see where staff attention is needed.
Automation with clinical boundaries
GHL supports communication and operations while clinical interpretation stays with the care team.
A foundation that can be maintained
The system is documented, tested, and structured for ongoing monitoring rather than one-off campaign work.
The engagement
Designed to move from diagnosis to a maintainable system.
Assess
Map the existing journey, systems, handoffs, and AI opportunities.
Build
Implement the pipeline, tracking, approved automation, and AI roles.
Test + launch
Run scenario-based testing and prepare the team for the new workflow.
Systems Care
Monitor and troubleshoot the Greatclicks implementation after launch.
Map your version of the journey
Your practice has a system story of its own.
Start with a Lab-to-Program Systems Assessment and see what should be connected, automated, or supported by AI.
Lab-to-Program Systems Assessment$297 one-time
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