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The Sovereign Technologist

What does a slow first reply actually cost?

The short answer: your enquiries, times what a slow first reply loses you, times what a customer is worth

Replying the next day rather than inside the first hour makes reaching a live conversation roughly 60 times less likely. That figure comes from a 2011 audit of 2,241 US firms and 1.25 million leads. We confirmed the authors and the date at the publisher; the body text is paywalled, so the population is the one the article is universally cited as reporting. The calculator turns the effect into your own monthly number.

The assumptions

AssumptionValueWhere the number comes from
4.33
  • our working rule 52 weeks divided by 12 months is 4.33, which turns a "per week" band into a monthly number.
15%
  • worked model Calibrated on the HBR audit: inside the hour is the measured best case (no loss), four hours 15%, next day 30%.
  • HBR audit, 2,241 firms, 1.25M leads Replying next day instead of within the hour: ~60× less likely to reach a live conversation.
  • HBR audit First-hour replies are ~7× more likely to qualify the lead than second-hour.
  • HBR audit 23% of audited firms never replied at all.
25%
  • our working rule HBR measured qualifying conversations, not sales. Turning conversations into euros needs a close rate, and yours is the one that counts.
€50
  • our working rule The result rounds to the nearest €50 so it never claims a precision the model does not have.

≈ €3,650 a month walks away.

Estimate. Model: an audit of 2,241 firms (HBR) found replies after an hour are dramatically less likely to reach a live conversation, next day is ~60× worse. Your real numbers replace it on the call.

Answer first

The methodology

Every assumption on this page is editable. Change the bands, the model recalculates. The defaults come from published studies and worked models, each one cited below.

The math, step by step

  1. Enquiries a month25 × 4.33 = 108.3
  2. Conversations lost to the delay108.3 × 15% = 16.2
  3. Customers behind them16.2 × 25% = 4.1
  4. Value of those customers4.1 × €900 = €3,650

Sources: HBR lead-response audit (2,241 firms) · practitioner-reported no-show curves (labelled model) · industry answer-rate studies · our own worked models, stated openly. Where a number is a model, it says so next to the number.

Further reading

The calculator shows the leak. The analysis shows the fix.

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Where do the default numbers come from?

Published studies and worked models, each cited under the calculator. Every assumption is editable, so your numbers replace ours in seconds.

Is this a quote?

No. It's the size of the leak, not the price of the fix. The fix gets a fixed quote after a free analysis.

Can I save the result?

The exit file has the same math for your industry, and the free Inefficiency Scan emails you a full report.

Numbers first. Decisions second.

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