Synthetic data Data date: Sep 30, 2026

Trades Hiring Signals

Which home-service shops should a sales rep call this week, and why? This reads one export of public job postings from heating, cooling, plumbing and other trade shops, title and description, and scores each shop for fit and timing. It counts jobs, not listings, caps every signal, and sends unclear shops to a person instead of guessing.

Reading the postings...

Ranked shops

Open a shop to see every signal, its points, the posting line behind it, a draft first line and two first-call questions.

# Shop Trade Metro Techs Software Score Tier Top reason

Held for a person

These shops might be worth a call, but something needs checking first. Bad records waste calls, so they don't get a tier until a person clears them.

Excluded

The fit gates run before any scoring. These shops are out for now, with the reason.

    Why caps matter

    The rules, in plain words

    They run in this order. The right column shows how many shops each rule touched with the current weights.

      Weights (edit any number and the page re-ranks)
      Default weights.

      Assumptions

      • ServiceTitan shops are assumed to fit best, because the estimate and follow-up data already lives there. Other software scores lower, not zero.
      • A follow-up or inside-sales opening means the shop is about to pay a salary for work that software can take on. When the pay is posted, the detail view shows what that seat costs a year.
      • Technician counts come from careers-page text like "join our team of 26 techs", so they're approximate.
      • Hiring is not buying. A posting shows a shop is growing and where work is piling up. It doesn't show that the shop will buy anything.
      • A shop with no software named isn't treated as a bad fit. It gets no software points, and goes to a person if it would otherwise be a Call this week.
      • Hourly pay is turned into a yearly figure at 2,080 hours. Ages are counted from the data date, Sep 30, 2026.

      What I'd need to run this on real data

      • The job boards and careers pages to read, and which metros matter.
      • A list of current customers to exclude, so nobody calls a shop that already buys.
      • The field-service software you support, and how well each one works, to set the software points.

      Everything else here (the gates, the caps, the holds) runs the same way on real postings.

      Questions I'd want answered

      Each rule above is a guess. These are the answers that would change it.

      1. When a shop names ServiceTitan in a job post, is that enough to call it a fit, or do you confirm the software another way first?
      2. Is a shop hiring an estimate follow-up or inside-sales person a buyer for you, or a sign they've already solved follow-up with people?
      3. Which predicts a good account better: technician count, or how many estimates a shop writes a month?
      4. Do franchise locations buy on their own, or does it go through head office?
      5. Should commercial work count at all, or only residential repair and replacement?

      Shop