Analysis and open models · Updated October 2026

Locksmith industry research

Long-form analysis of the locksmith industry, AI receptionists, and the economics of missed calls. There is little public data on how locksmith shops' phones actually perform, and much of what circulates is old, generalized, or vendor marketing — so what we publish here is reasoning and open models you can check, rather than a dataset you have to take on trust.

What you will find here
Open models and operator analysis, not a proprietary dataset. We haven't run a survey or collected call data for these pages. Where a research page cites a figure from a public source, it links the page that says it. The other numbers in our models are labelled example inputs that you are meant to replace with your own — which is why the missed-call model comes with a calculator rather than a conclusion.

How we handle numbers

Assumptions are labelled. Apart from our own prices, the dollar figures on the research pages are worked examples, not measurements. We do not publish a proprietary dataset and you should not treat these tables as one — they exist to show the reasoning so you can substitute your own numbers.

Facts about the world are sourced. Where a research page cites one — from Google's Local Services help pages, Pew Research Center or the Bureau of Labor Statistics, for example — it links the specific page that says it, with the publication date when the source has one. We don't state a figure as fact unless we can trace it to a source.

Examples are labelled. Where there is no reliable published figure, such as a booking rate, an average ticket or what a night call is worth, we don't estimate one for you. The page shows a labelled example input instead, for you to replace with your own number.

Reports are dated. Each one is listed above with the month it was published. Stale or wrong numbers are bugs; email contact@thekeybot.com if you spot one.

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