44% of New-Patient Requests Arrive After Hours: Data From Over 60,000 Web Inquiries

44% of new-patient and consultation requests submitted through practice websites arrive outside business hours. Of over 60,000 web form inquiries to several hundred medical practices in our dataset between June 1 and September 26, 2026, 56% came in between 8am and 5:59pm local time, 28% in the evening (6pm to 11:59pm), and 16% overnight or early morning (midnight to 7:59am) (aggregated, de-identified KloudMD platform data).

Every vendor selling after-hours coverage says patients reach out when the office is closed. Almost none of them put a number on it, and the number turns out to be much larger for web inquiries than for calls or texts. This article lays out the hour-by-hour curve, explains why it is so different from the phone, and covers what a practice should do with a request that lands at 9pm.

Web inquiries by time of day

The striking thing about web requests is not the after-hours share on its own. It is how flat the curve is. Phone calls and texts peak at 11am and fall off a cliff at 5pm. Web requests barely move.

Window (local time)	Share of requests	What the volume looks like
Business hours, 8am to 5:59pm	56%	Flat plateau, every hour within a narrow band
Evening, 6pm to 11:59pm	28%	Same plateau as daytime through 9pm, then tapering
Overnight, midnight to 7:59am	16%	Midnight hour still runs at about half the daytime rate

Source: aggregated, de-identified KloudMD platform data across several hundred medical practices, Jun 1 to Sep 26 2026, sample: over 60,000 web consultation and new-patient requests, local hour by practice location.

From 8am through 9pm, every hour lands within about 15% of every other. 7pm is as busy as 9am. Even midnight to 1am runs at roughly half the daytime rate. Patients do not stop researching a practice when the practice closes. If anything, the hours after dinner are when they finally have time to.

Why web requests look so different from calls and texts

Across the same practices, 83% of inbound texts and roughly 93% of inbound calls with a known hour arrive during business hours. Web forms flip that ratio toward evenings for a simple reason: a patient calls when they expect a person to answer, but a form does not need anyone to be there. It is the channel people use precisely because it is after hours.

That means the web form is where a practice’s after-hours demand is most visible. A practice that closes at 5pm and looks at its call log sees a quiet evening. Its form inbox tells a different story: about four in ten of the day’s new-patient requests are still to come.

Who is submitting at 9pm

Form inquiries skew toward new patients rather than existing ones. Existing patients text or call because they already have the number in their phone. A new patient found you on Google or Instagram, read the site, and filled in the form. The lead-source data from the same period shows where they come from: Google organic and Google Business Profile are the largest source of new contacts over twelve months, followed by paid search and then Instagram. These are people comparing practices, and a request submitted at 9pm is often one of two or three submitted to different offices the same evening.

The cost of “we will call you tomorrow”

A web request that arrives at 8pm and gets a callback at 9:30am the next day has waited more than 13 hours. If the patient submitted forms to three practices, the first one to reply usually gets the consult. A next-morning callback is the standard, and the standard loses to anyone who replies the same night.

The callback itself is also not reliable. The same platform data shows roughly one in five staff callbacks over twelve months went to voicemail or rang out rather than connecting. A morning callback to someone who is now at work is often a voicemail, and the lead goes quiet.

What to do with an after-hours request

The goal is not to have a staff member awake at midnight. It is to make sure the request gets an answer that moves it forward before the next morning. There are three levels.

Level 1: an instant acknowledgement that says something

An auto-reply that says “thanks, we will be in touch” does very little. An auto-reply that says “we are open tomorrow from 8am, here is a link to pick a time now” does a lot, because the patient can finish the job at 9pm while they are motivated. A text is better than an email here; the form should collect a mobile number and the first reply should go to it.

Level 2: let the patient book

Most web requests are, at bottom, “I want an appointment.” If the practice’s online booking shows real openings and writes into the schedule, the request can become a booked visit without anyone at the office touching it. Booking lead time matters here: appointments booked two or more weeks out cancel at 12.9% versus 3.9% for same-day, so a booking page that only shows slots three weeks away is converting a hot lead into a likely cancellation. Hold some near-term slots for new patients. More on that in cancellation rates by booking lead time.

Level 3: answer the question that is blocking the booking

A share of evening requests are not ready to book. They want to know whether you take their insurance, what a consult costs, or whether you treat their condition. An AI agent on text or web chat that can answer those from the practice’s own knowledge, and then offer a time, handles the portion of after-hours requests that a booking link alone cannot. Anything clinical or urgent should be held and escalated to a person, not guessed at.

Setting the rules before turning anything on

Whether a person or software replies after hours, write down the rules first:

• Which request types get an immediate reply and a booking link (new patient, consult, cosmetic inquiry).
• Which get an immediate reply and a “we will call you at 8am” with no booking link (insurance-dependent visits that need verification first, for example).
• Which are held for a human regardless of hour (anything describing symptoms that sound urgent, anything from an existing patient about a current treatment).
• What the reply says about hours, so a patient at 11pm does not expect a call at 11:05.

The same four-bucket thinking applies to after-hours calls. See how to set up an after-hours call flow for a medical office for the phone side.

Checking your own after-hours share

Export your form submissions for the last 90 days with timestamps in your local time. Count how many fall between 6pm and 7:59am. If you are anywhere near the platform’s 44%, the evening is producing almost as many new-patient requests as the workday, and the question is how long each one waits before it hears anything useful.

Then look at what your current auto-reply says. If it is a generic acknowledgement, replacing it with a booking link is the lowest-effort change that touches almost half of your inbound demand.

How KloudMD handles this

A web inquiry on a KloudMD-connected site creates a contact and can trigger an immediate text reply from the practice number. KloudMD’s AI texting and chat agent runs across the website chat widget and SMS on the same knowledge and conversation history, answers questions about hours, insurance, and pricing from the practice’s own list, and books appointments inside the conversation using the same scheduling layer as online booking, which reads live availability from the EHR and writes the appointment back. Practices choose draft-only or auto-send per channel and set business-hours and after-hours rules. Clinical or urgent messages are held and escalated to a nominated staff member. For callers rather than form fillers, Voice AI covers the after-hours line with the same booking logic.

Get started with KloudMD and stop losing the 44% that arrives after the desk closes.