TeleHealthLeadsSystem Overview

Read time: 3 minutes

A patient clicks your ad at 9:14 PM on a Tuesday.

She's been thinking about GLP-1 for weeks. She finally clicked. She's on your checkout page right now. Credit card in hand. This is the moment your $80 in ad spend was designed to create.

1
Where she leaves

She sees the price. $349. She pauses. Could be anything. Price hesitation. Wants to ask her husband. Got distracted by a notification. Told herself she'd come back after dinner.

Her phone buzzes. A text from her kid. She responds. By the time she looks back at her browser, she has 14 tabs open. She tells herself she'll come back to it tomorrow.

She won't.

What happens next at most clinics

24 hours later, she gets an email: "Complete your order!" It doesn't know why she left. It doesn't ask. It's the same generic email every bounced patient gets. She deletes it without opening it.

What should happen

58 seconds after she leaves, she gets a text. Not a template. Not a "complete your order" blast. A conversation from an AI account manager trained on conversions.

It doesn't assume why she left. It asks. It opens a real conversation, figures out the actual objection, and handles it the way a trained closer would.

"Hey Sarah, saw you were checking out the GLP-1 program. What came up? Happy to help with whatever you're thinking through."

Maybe it's price. Maybe it's timing. Maybe it's a question about side effects. The AI finds the real reason and works through it. Within a minute.

This happens to 40–60% of patients who reach your checkout page. For a clinic doing $50K a month, that's 45–50 patients every month who were ready to buy and didn't. Recovering even 15% of them is an extra $3,000–$4,000 a month.

2
Where she regrets

Let's say she came back. She paid. $349. She's in. She's excited. She filled out the intake form, submitted everything, and now she's waiting for the doctor to review it.

Then nothing happens.

24 hours pass. No email. No text. No update. She checks her inbox. Nothing. She checks her spam folder. Nothing. She starts Googling "GLP-1 side effects." She reads a Reddit thread about someone who had a bad experience. She sees a competitor's ad offering the same thing for $279.

48 hours in, she sends an email: "I'd like to request a refund."

The reality

She wasn't a bad patient. She was a paying patient who sat in silence long enough to talk herself out of it. This happens to 8–15% of paid patients during the doctor review window. That's revenue you already earned that's walking out the door.

What should happen

The moment she pays, a reassurance sequence starts. She gets a confirmation with clear next steps. She gets an update when the doctor begins review. She gets educational content about what to expect. She gets a message when the prescription is approved.

At no point during those 48 hours does she wonder what's happening.

Cut the refund rate in half and you're saving $1,000–$1,500 a month in revenue that was already yours.

3
Where she's forgotten

Now let's rewind. What if she never came back after that first bounce? She created an account. Maybe started the intake form. Then life happened and she never finished.

She's still in your CRM. Her name, her email, her phone number. She's one of 200 to 400 accounts just like her sitting in your database. Each one cost you $60–$90 in ad spend to acquire.

That's $12,000 to $36,000 in acquisition cost doing absolutely nothing.

What should happen

AI re-engages her individually. It knows where she dropped off. If she abandoned during intake, the conversation picks up there. If she completed intake but never paid, it addresses payment hesitation. It's not a mass email blast. It's a conversation tailored to her specific situation.

Reactivate 5% of a 300-account backlog and that's $7,500 in found money from patients you already paid to acquire.

4
How we fix it

Three steps. We audit your funnel and put a dollar amount on every leak. We deploy AI recovery flows trained specifically on GLP-1 patient conversations. Then we recover — and you see the numbers weekly.

1

Audit

Week 1

Map your funnel. Find every drop-off. Calculate the revenue sitting on the table. You get specific dollar amounts, not guesses.

2

Deploy

Week 2–3

AI recovery flows go live. Checkout bounce recovery. Post-payment reassurance. Dead account reactivation. All trained on GLP-1 specific objections.

3

Recover

Ongoing

Patients start coming back immediately. Weekly reporting with exact revenue recovered. Continuous optimization.

5
Then we scale

Once the recovery system is dialed in and you can see exactly how many patients you're converting at each stage, that's when we turn on the ads.

Most clinics do it backwards. They spend $8K–$12K a month driving traffic into a funnel that loses half the patients at checkout, creates refunds during doctor review, and ignores dead accounts. They're pouring water into a bucket with three holes in it.

We patch the holes first. Then we pour.

Before

$250–$350+

per patient acquired

After

Under $200

per patient acquired

Same ad spend. More patients. Lower cost per acquisition. Now you can scale confidently because the back end actually converts.

That's the system.

Before our call, think about this.

We're going to look at your actual numbers together. The more you know going in, the more useful our conversation will be.

1

How many patients hit your checkout page last month and didn't complete?

2

How many refund requests came in during the doctor review window?

3

How many accounts are sitting in your CRM that started intake but never paid?

4

How much are you spending on ads per month, and what's your cost per acquired patient?

If you don't know the exact numbers, that's fine. Most clinics don't. That's part of what we'll figure out together.

Talk soon.

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