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Lead qualificationPlumbing operationsApril 24, 2026Sully Research Team

The Plumber Who Discovered 40% of His Leads Were Never Qualified

A Texas plumbing owner thought his close rate was the problem. When Sully matched his leads to his jobs, the real issue was that 4 in 10 leads never got a qualifying conversation at all.

8 min read

Key takeaways

  • The ServiceTitan 2025 AI in the Trades Report highlights lead qualification as one of the biggest margin leaks in small and mid-sized home service shops
  • Responding inside 60 seconds lifts qualified-lead conversion by 391% vs a 5-minute response per Invoca 2025
  • Hatch's 2024 Home Improvement Industry Report shows up to 50% of inbound home service leads never receive a qualifying touch inside 24 hours
Contents
  1. 01The lead-to-touch gap nobody measures
  2. 02The source-level breakdown that reshuffled his budget
  3. 03Where the web form leads died
  4. 04The "we called, no answer" ghost
  5. 05The 40% that was reachable
  6. 06The after-hours gap he had been blaming on his team
  7. 07The stack he built in 45 days
  8. 08What changed in the numbers
  9. 09What this means for your shop
  10. 10Sources
  11. 11Frequently Asked Questions

A Texas plumbing owner doing roughly $4M had a 22% booked-to-quoted rate and thought his techs needed better sales training. He was six weeks into a sales coaching engagement when he ran a simple check through Sully to confirm the baseline.

He asked a single question: what percentage of his inbound leads in the last 90 days ever received a qualifying conversation? The answer stopped the sales coaching cold. 40% of his leads had no record of a qualifying touch inside 72 hours. His close rate wasn't the problem. His pipeline was leaking before anyone got near a sales conversation.

The lead-to-touch gap nobody measures

Most home service shops report close rate as "jobs booked / estimates given." It's an honest number, but it ignores everything that happened before the estimate. The step before the estimate is the qualifying call, and that step is where this plumber was losing 2 in 5 opportunities.

Sully pulled his 90-day lead list (Google Ads, Google LSA, web form, inbound calls) and matched every lead ID against any record of a callback, an SMS, or a scheduled appointment inside 72 hours. 40% had nothing. No note, no SMS, no call log, no calendar entry.

Text Sully: "For leads in the last 90 days, show me the percentage that received a qualifying call, text, or appointment inside 72 hours. Break it down by source."

Hatch's 2024 Home Improvement Industry Report frames the same pattern across the industry: up to 50% of home service leads never receive a qualifying touch inside 24 hours. The plumber was in range with the norm, which was its own problem.

The source-level breakdown that reshuffled his budget

When he broke the 40% gap down by lead source, the picture got worse.

  • Google LSA leads: 18% unqualified (fast to respond, high intent)
  • Inbound calls to main line: 31% unqualified (answer rate issues)
  • Web form leads: 54% unqualified (nobody owned them)
  • Facebook lead ads: 72% unqualified (nobody owned them, fast decay)

He had been spending $6,400/month on Facebook lead ads because the CPL looked cheap. At a 72% no-qualifying-touch rate, his effective CPL was 3.6x the reported number. When he re-ran his ROI math against the actual qualified-lead volume, Facebook was his worst-performing source, not his cheapest.

Text Sully: "For each lead source in the last 90 days, show me CPL, qualifying-touch rate, and cost per qualified lead."

Where the web form leads died

He drilled into the web form gap. All web form submissions went to a shared team inbox. Nobody owned the inbox. The CSRs assumed the sales team was on it. The sales team assumed the CSRs were on it.

The average time from form submission to first human response was 8 hours and 20 minutes. Invoca's 2025 home services data shows qualified-lead close rate drops 80% after 5 minutes. 8 hours was effectively the same as no response at all.

Of his web form leads that did eventually get a qualifying touch, close rate was 3%. Of the ones that were touched inside 60 seconds (rare), close rate was 28%. Same leads. Same source. 9x the close rate purely from response speed.

Text Sully: "For web form leads in the last 6 months, show close rate grouped by time-to-first-touch: under 1 min, under 5 min, under 1 hour, under 24 hours, over 24 hours."

The "we called, no answer" ghost

One pattern that jumped out: of the 60% of leads that did receive a qualifying touch, 23% of those touches were a single outbound call that hit voicemail with no follow-up text, no second call, no email. The shop counted those as "attempted" and moved on.

John Wilson of Wilson Companies, a $40M+ Akron plumbing, HVAC, and electrical operation, has said this multiple times on The Home Service Expert: "One call is not an attempt. Six contacts across three channels inside 14 days is an attempt."

The plumber's team was declaring victory on contact #1. Industry data from ServiceTitan's 2025 AI in the Trades Report shows 6-8 touches across phone, SMS, and email inside the first two weeks triples qualified-lead conversion versus a single touch.

Text Sully: "For leads we 'attempted' but didn't book, show the number of touchpoints attempted and the channels used."

The 40% that was reachable

After the owner layered a second cut on the data, something more interesting appeared. Of the 40% of leads with no qualifying touch, Sully flagged 68% as still having valid phone numbers, no opt-out, and no record of a duplicate job elsewhere in his CRM. Reachable, reclaimable, not dead.

He ran a one-week reactivation test. An AI SMS agent sent a qualifying message to 180 of those unqualified leads. 37 responded. 22 became quoted jobs. 9 closed at an average ticket of $740. Gross recovered revenue in 7 days: $6,660. The only incremental cost was the agent, about $220 for the test period.

Text Sully: "Pull the list of leads in the last 90 days that never received a qualifying touch. Flag the ones with valid phone numbers and no opt-out. Draft a qualifying SMS for each."

The after-hours gap he had been blaming on his team

When the owner sliced the 40% gap by time of day, another pattern surfaced. 58% of his unqualified leads came in between 5 PM and 8 AM, outside his CSR team's shift. His office was closed when more than half of his inbound demand was arriving.

This is not a plumbing-specific pattern. LocaliQ's 2025 home services benchmarks show a meaningful share of home service search and form traffic hits in evenings and weekends, when the homeowner is home and thinking about the broken fixture. His ad dollars were driving demand into an empty building.

Threads on Reddit's r/plumbing are full of independents describing the same problem: "I turn my ringer off at 6 PM because I can't answer everything, and by morning the lead has hired someone else." The fix isn't willpower. It's staffing or AI coverage.

Text Sully: "For unqualified leads in the last 90 days, group by hour of day and day of week. Show me when my biggest qualification gaps happen."

The after-hours AI agent cost $460/month and covered roughly 105 hours a week of no-human coverage. In the first month, it qualified 83 leads during those hours, of which 31 booked. Average ticket $720.

The stack he built in 45 days

Three systems went live.

First, AI lead qualification agent. Every inbound lead across every source funneled into a single qualification flow. The agent responded inside 30 seconds via SMS or voice, asked three qualifying questions (service type, address, urgency), and either booked an appointment or handed off to a human with full context. See AI lead qualification agents for home services for the full build and AI chatbot for contractor website for the web-form side.

Second, owned routing. Every lead source had a named owner with a 15-minute response SLA during business hours and a 60-second AI SLA after hours. Web form leads went directly to the qualification agent, not to a shared inbox.

Third, a six-touch cadence. Leads that didn't respond to touch #1 got touches 2 through 6 across SMS, email, and voice over 14 days. No lead was closed-lost until all six had fired.

Text Sully: "Show me all leads currently in the middle of their touch cadence, grouped by which touch they're on and how many days since lead creation."

What changed in the numbers

90 days after the rebuild, his booked-to-quoted rate was still 22%. That wasn't the lever. But his unqualified-lead percentage had dropped from 40% to 9%, and his total jobs booked per 100 leads went from 14 to 23. 64% more revenue on the same lead spend.

He cut the sales coaching engagement.

What this means for your shop

If you run a $1M-$10M plumbing, HVAC, or electrical business, your close rate is probably not your problem. Your qualification rate is. Pull 90 days of leads and check how many ever received a qualifying touch inside 72 hours. If it's under 80%, you're sitting on recoverable revenue larger than your next marketing hire.

Three questions get obvious once you see that number. Which lead sources have the worst qualifying-touch rate. Which channels decay fastest without a 60-second response. Which leads are still reachable today and can be reactivated with an AI SMS agent.

Sully can run the qualifying-touch audit against your existing lead and CRM data in a single conversation. See AI lead qualification agents for home services for the agent stack, AI chatbot for contractor website for web form qualification, AI agents for plumbers for the full plumbing agent lineup, and AI missed-call follow-up agent for contractors for the call side.

Sources

Frequently Asked Questions

6 questions home service owners actually ask about this.

  • 01What counts as a qualifying touch?

    A two-way conversation that establishes service type, address, urgency, and customer intent. A single outbound voicemail with no follow-up doesn't count. An SMS auto-reply with no response from the customer doesn't count. A human conversation, a booked appointment, or a completed AI agent qualification flow does count.

  • 02How fast do I need to respond to a web form lead?

    Under 60 seconds for best results. Invoca's 2025 home services data shows response inside 1 minute lifts close rate by 391% vs a 5-minute response. Any lead source where your human response is slower than 5 minutes should be routed to an AI agent first.

  • 03What's a good qualifying-touch rate?

    Best-in-class shops run 90%+ of leads receiving a qualifying touch inside 72 hours. Most $1M-$10M shops sit at 50-70%. Below 50% is a serious pipeline leak.

  • 04Should I buy an AI lead qualification agent or build one?

    Buy first, build later. Off-the-shelf agents from vendors in the AI chatbot for contractor website and AI lead qualification agents teardowns get you to 80% of the value in a week. Custom builds make sense only after you've validated the qualification flow with a packaged product.

  • 05How many touches should a lead get before I mark it closed-lost?

    6-8 touches across phone, SMS, and email over 14 days. ServiceTitan's 2025 AI in the Trades Report shows this cadence triples qualified-lead conversion vs a single-touch attempt.

  • 06Can I reactivate leads that never got qualified?

    Yes, in most cases. About 60-70% of unqualified leads inside a 90-day window still have valid contact info and no opt-out. An AI SMS reactivation agent commonly recovers 10-15% of that list into booked jobs. See AI customer reactivation for contractors.

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