Contractor Sales Performance Research

Contractor Sales Performance Report 2026

How contractor sales teams win — and lose — in the home. Close rate benchmarks, follow-up patterns, revenue leakage, and coaching insights for roofing, HVAC, solar, windows, kitchen & bath, and remodeling teams.

Illustrative benchmarks. Benchmark examples are illustrative until RepVise has enough verified customer data to publish aggregate customer benchmarks.

Close Rate Benchmarks

Close rates vary widely by trade — but the spread within a trade is wider than the spread between trades. Rep behavior, not industry, sets the ceiling.

Illustrative average in-home close rate by trade

34%Roofing38%HVAC22%Solar28%Windows26%Kitchen/Bath41%Closets
Illustrative example — modeled, not customer-attributable.

Follow-Up Performance

Most deals are not lost in the room — they are lost in the days after. Follow-up cadence is one of the clearest separators between average and top-performing reps.

1.4
Avg follow-up touches
Most teams stop at one
5+
Top-quartile touches
Across ~14 days
$910
Revenue lost per missed follow-up
Illustrative
27%
Of lost deals
Follow-up never happened
  • Schedule the next touch before leaving the appointment — never 'I'll get back to you.'
  • Send a recap within hours, a financing reminder within a day, and an urgency note by day three.
  • Treat a quote with no follow-up call as a deal at risk, not a deal in progress.

Missed Revenue Categories

When losing calls are scored against a structured framework, the failure point is rarely the close itself. Revenue leaks earlier — in discovery and follow-up.

Illustrative share of lost deals by failure stage

Discovery too shallow32%Follow-up never happened27%Objection not handled19%Soft / missing close14%Presentation mis-aimed8%
Illustrative example — each lost deal counted once at its dominant failure stage.

Sales Coaching Insights

The behaviors that separate top-quartile reps from the average are consistent across every trade — and every one of them is coachable.

  • Run a structured discovery before any presentation, capturing the homeowner's own words.
  • Restate the homeowner's stated pain during the presentation — not a feature list.
  • Ask for the close at least twice on the first appointment.
  • Introduce financing before price, so it sounds like a plan, not a workaround.
  • Coach against the recording, not against memory or ride-along guesswork.

AI Sales Analysis Trends

Homeowners are entering appointments more price-sensitive than they were two years ago. The reps who win in 2026 are not the cheapest — they are the ones who anchor value before the number gets quoted and who handle financing proactively.

Appointments are getting shorter and sharper. Tight, structured visits are outperforming long demos, and same-day digital recaps are becoming table stakes rather than a differentiator.

The biggest shift is measurement. The teams that pull ahead will instrument every appointment, measure the conversation, and coach against the recording. The single-rep, gut-feel era of contractor sales is ending.

Future Contractor Sales Benchmarks

Every sales appointment uploaded to RepVise™ is transcribed and scored against a structured sales-intelligence framework and each company's own uploaded playbook. That produces a consistent, comparable record of what happened on the call — discovery depth, objections raised and handled, close attempts, and follow-through.

As more appointments are analyzed, those scores can be aggregated and anonymized across companies and trades. Over time this creates living benchmarks — close rates, follow-up cadence, and revenue-leakage patterns by industry — grounded in real analyzed conversations rather than survey estimates.

Until there is enough verified customer data to be statistically meaningful, the numbers on this page remain illustrative examples. The more contractors analyze their appointments in RepVise™, the sharper and more valuable these benchmarks become.

Illustrative benchmarks. Benchmark examples are illustrative until RepVise has enough verified customer data to publish aggregate customer benchmarks.

Frequently asked questions

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