I measured how fast nine practices actually answer a new lead. It was worse than I expected.

Field notes from Mike · Published 2026-10-12 · ~6 min read

I have said "speed to lead matters" on a lot of calls. I had never measured it inside the practices we manage, which is a slightly embarrassing thing to admit, so a few weeks ago I went and pulled the data.

Ninety days of inbound leads across the client accounts where I could see message history. Only genuine inquiries, so ad form submissions, website forms, chat, self-booked appointments and call-ins. I excluded CSV imports and patients somebody typed in by hand, because without that filter a few practices appear to generate hundreds of leads a month that are not leads at all.

That left 1,737 inbound leads across nine practices. For each one I measured the gap between when the lead arrived and when a human being first responded, separating actual staff replies from automated texts.

The part that is not arguable

About 6% of leads got a response from a person within five minutes.

Not 6% within an hour. Within five minutes. The other 94% waited longer, most of them considerably longer. Median response times across these practices are measured in hours, not minutes.

One practice in the group received 1,048 leads over those 90 days. Two percent of them heard from a human within five minutes. The median lead waited 18 hours.

Here is the part that makes it easy to miss: the automation is fast. Auto-texts and instant replies fire within seconds at several of these practices, so the account looks responsive from the inside. Somebody submits a form and immediately receives a message. But the automated text is not the thing that books the appointment. It buys you a little time, and then a person has to actually follow up, and that follow-up is what is landing hours later.

If you have never measured this at your own practice, I would encourage you to guess your median first and then go look. Nearly everyone guesses low.

The part that is suggestive, with a caveat

Then I looked at whether it correlated with anything. Across the 1,536 leads with reliable booking data:

The pattern held when I restricted it to leads that arrived during business hours, which was the control I most wanted to see. Otherwise the slow rows might simply have been full of 2 a.m. inquiries that nobody could have answered quickly.

Now the caveat, and I want to be direct about it: this is a correlation, not proof that speed causes bookings. It is entirely plausible that better leads get faster attention. A front desk that recognizes a serious inquiry may prioritize it, which would produce this same gradient without speed doing any of the work. The top row also contains only 89 leads, which is a thin slice.

So I am not going to tell you that answering in five minutes triples your bookings. What I will tell you is that leads answered quickly booked meaningfully more often in every account I could measure, the relationship survived the control I threw at it, and almost nobody is doing it.

Even if speed turns out to be only partly responsible, the practices in this data are leaving the least expensive improvement in the entire funnel untouched.

Why this happens, and it is not laziness

None of the practices in this dataset are careless. The pattern has structural causes that repeat almost exactly across specialties.

The lead arrives while the physician is in a procedure and the front desk is with a patient. By the time anyone looks up, it is two hours later and there are four more. Inquiries land in a platform that nobody has a habit of watching, because the phone is the thing that demands attention and a form submission is not. Nobody explicitly owns first contact, so it is everyone's job in theory and nobody's in practice. And because the automated text went out immediately, there is a quiet sense that the lead has been handled.

Then there is the pure arithmetic of it. A practice generating 300 leads a quarter needs someone whose actual job includes reaching them, and in most practices that duty is layered on top of a role that is already full.

What I would change, in order

Measure your own median first. Pull the last 90 days and find the real gap between inquiry and first human contact. Guessing does not work here. The number is almost always worse than the team believes, and it is difficult to argue with your own data.

Name one owner and one window. Not "the front desk should get to these." One named person, one commitment, something like every inquiry during business hours gets a call attempt within fifteen minutes. Fifteen achievable minutes beats five aspirational ones.

Call, do not just text back. In this data, outbound calls behaved differently than texts. A new patient inquiring about a significant procedure is evaluating whether this practice is attentive, and a phone call answers that question in a way a templated message does not.

Let automation buy time without impersonating a person. An instant text that sets expectations is useful. One written to feel like a staff member is not, because when the real person calls four hours later, the patient has already decided you are slow. Say what will happen and when.

Decide about after hours deliberately. A meaningful share of inquiries arrive in the evening. You do not necessarily need coverage, but you should choose, rather than discovering by accident that every evening lead waits until mid-morning.

The uncomfortable part

I found this in accounts we manage. We built the campaigns that generated those 1,737 leads, and a large share of them sat for hours before anybody spoke to a human.

That is a marketing problem, not just a practice operations problem. Cost per lead is the number everyone watches, and it is the one I can move with better targeting and better landing pages. But a lead that goes unanswered for 18 hours costs exactly as much as one answered in five minutes and is worth considerably less. Optimizing acquisition while ignoring the handoff is how you end up paying more for the same number of patients.

You already paid for the lead. The reply is free.

Mike Funkhouser is the founder of Practice Growth Co, a healthcare marketing agency focused on patient acquisition for specialty medical practices.