Original research · Updated May 2026

Locksmith industry research

Long-form analysis of the locksmith industry, AI receptionists, and the economics of missed calls. There is very little useful public data in this trade, and most of what exists 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. Where a figure comes from a public source we name the institution and link it. Everything else on these pages is a stated modelling assumption, labelled as such, that you are meant to replace with your own numbers — which is why each model ships with a calculator rather than a conclusion.

How we handle numbers

Assumptions are labelled. The dollar figures on these pages are modelled, not measured. We do not publish a proprietary dataset and you should not treat these tables as one — they exist to show the reasoning so you can substitute your own numbers.

Industry numbers are sourced. Where we cite external industry data (BIA/Kelsey, Invoca, IBISWorld, Census, BLS), we link the source and note the publication date.

Estimates are marked. Where we cannot find hard data and have to estimate (e.g., Spanish-speaker share of after-hours volume in a specific metro), the number is presented with the word estimate or a range rather than a single point figure.

We update annually. Each report carries a publication date and an annual update cadence. Stale numbers are bugs; email contact@thekeybot.com if you spot one.

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