Case Study: Turning a Telehealth Lead Engine from “Expensive and Unreliable” to “Scalable”

The situation

An online mental healthcare provider had demand, but the growth engine wasn’t dependable. Acquisition costs were high (too high to be sustainable), lead flow was inconsistent, and attribution wasn’t trustworthy—especially once leads moved offline (calls, consults, and internal follow-up).

The goal wasn’t “more content.” It was a clean, measurable system that could scale profitably.

What I owned

As Fractional CMO, I owned the end-to-end growth system:

• Positioning and messaging clarity (so ads and landing pages matched what the service actually is)

• Paid acquisition strategy (Google + Meta)

• Conversion paths and funnel friction reduction

• Lifecycle strategy (retention and follow-up sequences)

• Measurement and reporting (including offline conversion capture)

• Execution with specialists where appropriate (tracking/tagging support)

The approach

I treat this kind of problem like a revenue system rebuild: clarify the promise, remove friction, instrument everything, then iterate with discipline.

1) Fix the story before scaling spend

When a category is trust-based (healthcare, therapy, premium services), clarity is the first conversion lever. We tightened:

• Who the service is for (and who it’s not)

• What the process looks like

• What outcomes can realistically be expected

• What objections needed to be addressed before a consult

Result: ad copy, landing pages, and follow-ups all told the same story.

2) Rebuild paid acquisition around intent and proof

The paid strategy was restructured to prioritize:

• High-intent search capture (where applicable)

• Reducing spam submissions

• Controlled testing in paid social (angles, hooks, and offers)

• Fast kill/keep decision rules (no “wait for the algorithm”)

The key was making every campaign answer: Why this provider? Why now? What happens next?

3) Make attribution real (including offline)

A major lift came from measurement integrity. We brought in a tracking/tagging specialist to ensure:

• The right conversion events were firing

• Offline outcomes could be tied back to marketing (where feasible)

• Reporting reflected the actual funnel, not vanity metrics

This prevented the classic failure mode: scaling what “looks good” instead of what converts.

4) Build lifecycle so leads don’t leak

High-consideration services lose money in follow-up gaps. We built a lifecycle system to improve:

• Reminder logic and no-show recovery

• Pre-consult education (the right content at the right time)

• Post-consult sequences and next-step nudges

Outcomes

• Acquisition cost decreased ~75–80%

• Inbound lead volume increased ~10–20x

• The business moved from “growth feels expensive and unpredictable” to a system that was profitable to scale, with clear KPI guardrails

Why this worked

Yes these numbers are real. And the results did not come from a clever hack or a "system - in the spam sense of the word" or a "quick fix." Because the system became coherent:

• One narrative across ads → landing pages → follow-up

• One measurement model leadership could trust

• One operating cadence that made optimization repeatable

What you can steal from this (even if you’re not in healthcare)

If you’re running paid + a consult-driven funnel:

1. Start with message clarity, not channel tweaks

2. Instrument conversions so you can trust your decisions. Stop watching vanity metrics!

3. Treat follow-up and lifecycle as part of acquisition

4. Run a testing cadence with decision rules—not opinions

If you want help building the same kind of system

If your marketing feels “busy” but not reliably profitable, the fastest win is usually a funnel + measurement rebuild. I can audit your current engine and outline the highest-leverage fixes in a short sprint.