I keep losing the customers who message after hours

Updated July 29, 20266 min readWritten for: small business owners in the United States

The customer who messages after hours is rarely waiting on you alone. While they wait, they ask someone else. Harvard Business Review research covering 2,241 companies found that firms contacting a lead within the first hour were nearly 7 times more likely to reach a real conversation with a decision maker than firms that tried just an hour later, and more than 60 times more likely than those that waited a day. There are three ways to answer in time: do it yourself, pay someone, or let your site answer on its own. All three work, and each one costs something different.

What is happening on the other side of that message

Think about how you search when you need something you have never bought before. You open your phone, you find three or four businesses that look right, and you message them. Not one of them: all of them. Then you go with whoever comes back with something useful first.

That is the whole mechanism. The person who messaged you at eleven at night has not chosen you yet. They put you on a shortlist. Whoever answers gets chosen.

So the problem is not “I do not work nights”. The problem is that there is a window, and the window closes by itself.

How short the window actually is

This is the part that surprises people, and there is real research on it.

In 2011 Harvard Business Review published a study by James Oldroyd, Kristina McElheran and David Elkington. They audited 2,241 U.S. companies, measuring how long each took to respond to a lead that arrived through its website. The result:

37% responded within the first hour. 24% took more than a day. And 23% never responded at all. Among the ones that did respond, the average was 42 hours.

In a second study, covering 1.25 million leads, they measured what that delay costs:

Companies that contacted the customer within an hour of the enquiry were nearly 7 times as likely to reach a meaningful conversation with a key decision maker as those that tried an hour later. And more than 60 times as likely as companies that waited 24 hours or longer.

Two honest caveats, because this number gets stretched a lot further than it goes. First, it is from 2011 and it measured companies answering web forms, not a barber shop answering a text. Second, it measures reaching a conversation with a decision maker, not closed sales. The exact scale for your business will be different. What holds is the direction and how steep the drop is: the difference between one hour and one day is not a small edge, it is a different order of magnitude.

The three ways out, and what each one costs

There is no single right answer. There are three, and it is worth choosing with your eyes open.

1. Answer them yourself

This is what nearly everyone does, and it works. Nobody knows the business the way you do.

The cost is not money, it is your evenings. And it fails exactly when you need it most, because the busy months are the months you are least likely to look at your phone. It also has a ceiling: you sleep, you take time off, you are with a customer in the shop.

Right for you if you get few messages and you do not mind answering them. It stops working as the business grows.

2. Pay someone

Somebody who handles the messages, part time or hourly. This is the most flexible option: a person understands any question, negotiates, and calms down an unhappy customer.

It is also the most expensive of the three, and the one with the most to manage. You have to train them, cover for them when they are out, and covering nights and weekends properly takes more than one person. In the United States the cost also depends on your state and how you hire, so this is the one option where you have to run the number against your own situation.

Right for you if your enquiries are complex or if there is a lot of money riding on each one.

3. Let the site answer on its own

An assistant on your own website that answers the actual question instantly, at any hour, and leaves you the message along with the person’s contact details.

The cost is a monthly fee, and it is predictable: it does not change whether 5 enquiries come in this week or 50. The honest limit is that it does not replace a person on anything complex. When a question falls outside what it knows, it has to say so and pass it to you.

Right for the bulk of what a local business gets asked, which repeats more than you would expect: what does it cost, do you have an opening, do you cover my area, how late are you open.

What it costs Where it breaks
You Your time, evenings included When the business grows or you take time off
A person Hourly pay, plus training them Covering nights and weekends gets expensive
The site itself A fixed monthly fee On an unusual question, it has to hand off

If you go with the third one, what to look for

Assistants are not all the same, and the differences matter more than the price.

  1. It answers the question, it does not just greet. A “we will get back to you shortly” helps nobody. The test is to message it yourself with a real question from your trade and see whether it answers.
  2. It captures the contact. A perfect conversation at eleven at night is worth nothing if in the morning you do not know who you were talking to or how to reach them.
  3. It tells you. The message should reach you with the whole conversation in it, without you having to log into a dashboard to go looking.
  4. It knows how to say “I do not know”. An assistant that invents a price or promises an appointment that does not exist creates a worse problem than the one it was hired to solve.
  5. It speaks your customer’s language. If your customers write to you in Spanish, it should answer in Spanish, and not in machine-translated Spanish.

What this does not fix

Worth saying, because inside that one-hour window there are things speed has nothing to do with.

If the person walks away over the price, answering faster does not keep them. It just tells them sooner that it does not work for them. If your site does not explain what you do, what it costs and where you work, the assistant is patching a hole that sits higher up. And if the problem is that your business does not show up when someone searches for it, this does not solve that at all: there are no messages to answer because nobody is arriving.

Answering fast does not win you new customers. It stops you losing the ones who already found you. That is a different hole, and it is usually the cheapest one to close.

Frequently asked questions

Do people really walk away because I answered the next morning?
Not always, but far more of them than most owners think. The Harvard Business Review study measured that answering within the first hour makes you nearly 7 times more likely to reach a real conversation than answering an hour later. At 24 hours the gap is more than 60 times. Someone asking at night is rarely asking one business.
Isn't an autoresponder worse than nothing?
A "thanks for your message, we will reply during business hours" is indeed the same as nothing, because it answers no question. What changes the outcome is answering the actual question (is there an opening, what does it cost, do you cover my area) and capturing the contact so you can pick it up in the morning.
How long does it take to set up?
The technical part takes days, not months. The part that takes time is the other one: gathering your business information properly (prices, service areas, hours, what you do and what you do not) so the assistant answers the way you would and does not make things up.
What if a customer asks something the assistant does not know?
Then it has to say so and hand the question to you rather than improvise. An assistant that invents an answer does more damage than one that hands off. It is the first thing to test before putting it on your site.
Is it worth it if my business is small and gets few messages?
The smaller the business, the more each lost enquiry costs you. At two or three after-hours messages a week, every one of them matters. It is not a volume problem, it is a problem of none of them falling through.

Where the numbers come from

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