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Case study

Manchester electrical company: 31 extra jobs/mo

Missed Calls case study. Manchester, UK, 14 electricians. After-hours calls stopped vanishing and became 31 extra booked jobs a month while the office was closed.

Manchester electrical company case proof dashboard
Before and after

Manchester electrical company: 31 extra jobs/mo

Electrical / Manchester, UK / Missed Calls

Manchester electrical company

Manchester, UK, 14 electricians. After-hours calls stopped vanishing and became 31 extra booked jobs a month while the office was closed.

Before
  • 41% calls after hours
  • 0 after-hours bookings
  • $18,600 lost revenue/month
After
  • 31 extra jobs/month
  • 24/7 coverage
  • $22,400 recovered/month
31
extra jobs/mo
24/7
coverage
$22,400
recovered/mo

Why this leak mattered

Manchester, UK, 14 electricians had a measurable missed calls problem. After-hours calls stopped vanishing and became 31 extra booked jobs a month while the office was closed.

Baseline signals included 41% calls after hours, 0 after-hours bookings, $18,600 lost revenue/month.

The workflow stayed narrow: capture the leak, qualify the next step, and push the useful handoff back to the business. That keeps the case measurable instead of turning it into a broad transformation project.

For this page, the related workflow is Missed Calls.

How to read this case

The case evidence is kept in crawlable HTML: client context, baseline, result, workflow, related service, and update date. Treat the numbers as a scoped operating snapshot for this workflow, not as a universal guarantee.

Client context: Manchester, UK, 14 electricians. Baseline signals included 41% calls after hours, 0 after-hours bookings, $18,600 lost revenue/month. After-state signals included 31 extra jobs/month, 24/7 coverage, $22,400 recovered/month. The primary workflow is Missed Calls, with a payback of 9 days.

Do not copy this workflow blindly if the team cannot name the leak, does not know the current baseline, or cannot define the rules for a clean handoff. In that case, start with a short audit before automation.

Next step

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Frequently asked questions

What was the main result in this Missed Calls case?
Manchester electrical company is summarized by 31 extra jobs/mo. After-hours calls stopped vanishing and became 31 extra booked jobs a month while the office was closed.
What evidence is shown on the page?
Baseline signals included 41% calls after hours, 0 after-hours bookings, $18,600 lost revenue/month. After-state signals included 31 extra jobs/month, 24/7 coverage, $22,400 recovered/month. The table keeps the before and after signals in HTML so the result can be extracted without reading an image.
Who is this workflow most relevant for?
This pattern is most relevant for operators with a similar missed calls leak, a measurable baseline, and a handoff that can be described with clear rules.
When is this not the right first workflow?
It is not the right first move when the business cannot define the leak, cannot measure the baseline, or needs a full process rebuild before a narrow recovery workflow can be tested.
Where should the reader go next?
The related service page explains the workflow behind the case: https://skoreflow.com/missed-calls/.