Industrial services are fragmented. In most regions, mechanical, electrical, plumbing, fire protection and specialty contractors number in the hundreds, and most are owner-operated. Many of the best of them will never hire a banker. The owner sells when succession becomes pressing, and often to whoever has already built a relationship.
For a platform pursuing buy-and-build, that makes add-on sourcing a data problem before it is a relationship problem. You cannot build a relationship with a company you have never heard of.
What the target list needs to know
Start from the thesis, written as filters that can be checked.
- Trade mix. Which trades and licenses fit the platform: HVAC and mechanical, electrical, plumbing, fire protection, controls, specialty construction.
- Work mix. New construction against service and maintenance, commercial and industrial against residential, public against private.
- Recurring revenue. Service agreements and maintenance contracts, which often matter more than project volume.
- Geography. Fill-in density near existing branches, or a new market with room for a branch network.
- Size. A range of revenue or headcount the platform can integrate.
- Customers. Who the company works for: general contractors, owners, facilities, industrial plants.
Some things that matter most, such as the owner's plans and the state of the second line of management, only come from conversation. Data narrows the list; people still decide which companies are worth knowing.
Signals in the public record
A surprising amount of what the thesis asks is visible from outside, though coverage varies by state and city and every signal has to be checked.
- Contractor licensing. State license boards show who holds which license classes, often since when, and sometimes the qualifying individuals behind them.
- Building permits. Where jurisdictions publish permit data, it shows which contractors work where, on what kind of jobs, and whether volume is growing.
- Public bid results. Tabulations for public work show who bids, how often and how they price against peers.
- Safety records. Federal and state inspection records show establishment-level history.
- The company's own presence. Websites, service area pages and job postings describe service lines, and hiring is a strong sign of growth.
- Manufacturer networks. Dealer and contractor listings indicate equipment relationships and service capability.
None of these is complete on its own. Together they describe a company well enough to decide whether to call.
From signals to a ranked list
The hard part is joining the signals. The same company appears under a legal name, a trade name and a license holder's name. Permits are filed under one entity and bids under another. A branch shows up as a separate company.
- Resolve entities. Match records that describe the same company, and keep the evidence for each match.
- Score against the thesis. Each filter becomes a scored attribute with its source attached, so the deal team can see why a company ranks where it does.
- Review by people. An associate confirms the top of the list and adds what they know from the market.
- Load into the CRM. Targets enter the pipeline with their evidence, not as a bare name.
Done well, the list is a map of the market that updates itself as new permits, licenses and postings appear.
Outreach that respects the owner
Owners of good companies receive a steady stream of letters from buyers. Most read the same. What gets a reply is relevance: a note that shows the sender understands the company's work, its region and its service mix.
Software can draft that note from the evidence on the list, the way it drafts replies in the inbox. A person should still decide who gets contacted, edit what is sent, and own the relationship from the first reply. Automated volume outreach burns a market quickly, and in a fragmented industry the owners talk to each other.
Diligence starts at sourcing
What you learn while sourcing is the beginning of diligence. The permit history says what kind of jobs the company really does; the license history says how long it has done them. When the company shares its documents, the work gets more specific: bid archives, drawing sets, change orders and close-out files show how it estimates, executes and hands over. We wrote about that step in diligence on the drawings.
Measure the pipeline
- Coverage. What share of the companies that fit the thesis in a region are known and scored.
- Conversations. How many owners are in a real dialogue, and how many of those came from the platform's own sourcing rather than a banker.
- Conversion. Time from first contact to a letter of intent, and to close.
- Freshness. How current each target's evidence is.
Keep the human parts human
Relationships close deals. Owners sell to people they trust, often after years of conversation. What software can do is make sure the deal team spends those years with the right owners: build the map, keep it current, and draft the first note. The rest stays with people.
Once a company joins the platform, the work changes from finding it to improving it: take-off, email and the workflows only that company runs. That is the part we do. See Operon for private equity.
