Book a call

FREE TOOL

What do slow replies cost you?

Enter your own numbers. See how many customers and how much revenue may slip away each month through after-hours and slow replies, as a cautious range.

Your business

Sector
Currency

This is an estimate model, not a measurement. The defaults are examples; replace them with your business's numbers.

Monthly estimate

Inquiries after hours or answered late
370

Of 450 inquiries, 158 arrive after hours and 213 wait too long in working hours.

Customers that may slip away
30 – 59
Revenue that may slip away
$1,185 – $2,369
Revenue you could win back
$474 – $1,659

With a 24/7 AI assistant and follow-up automation, roughly 12–41 customers a month.

Monthly inquiries

  • On time: 80
  • After hours: 158
  • Late in working hours: 213

Revenue that may slip away (upper end)

  • Recoverable (lower end): $474
  • Recoverable (up to the upper end): $1,185
  • Remaining loss: $711

Next step

Book a callOpen the sample project for this sector

A working site and panel we built for a fictional brand. Opens in a new tab.

Talk the result through with us

Leave your details if you like and we will reply with your result within one business day. It is optional: the result stays on the page.

Fields marked * are required.

Please don't include passwords or health data.

A summary of your result on this page is sent with the form.

Read how we handle your personal data in the privacy notice before you send.

How we calculate

The calculation runs in your browser; the numbers you enter are not sent anywhere. The formula and assumptions:

  1. Monthly inquiries = daily inquiries × 30.
  2. Inquiries that arrive after hours wait until the next working day; we count all of them as late.
  3. Working-hours inquiries: none count as late when the average first reply is 5 minutes or less, all of them do at 60 minutes or more, with a straight line in between.
  4. Customers that may slip away = late inquiries × conversion rate × loss share. We take the loss share as 20% to 40%: not every late inquiry is lost.
  5. Customers you could win back = customers that may slip away × 40–70%. A fast reply does not bring everyone back, so we keep the range cautious on purpose.
  6. Revenue = customers × average customer value. Low ends are multiplied with low ends and high ends with high ends.

The loss and recovery shares are our assumptions, not rates taken from a study. The sector defaults are examples too, not statistics.

A public study showing that reply speed matters: Oldroyd, McElheran and Elkington, “The Short Life of Online Sales Leads”, Harvard Business Review, March 2011. The study reports that most companies do not respond to online inquiries fast enough. The coefficients in our model are not derived from it.

Let us answer at night too.

We go through your numbers together and show in the first call how the assistant and the automation would work for you.

Book a call