Observed inputs.
Record source, service fit, geography, urgency, contactability, quote, and close outcome for the business's own leads.
Marketing Atlas · Reference · Local Trades
Lead Quality Score.
Updated May 2026 · Reference page · Written marketing plan
The 0-100 measure of whether an incoming contractor lead is worth an immediate callback, further qualification, or low-priority follow-up. It is the lead-qualification measure most contractors do not have.
The numbers underneath
What does this concept change in local-trades marketing?
00-100 scale · weighted across 7 signals
•0-100 scale · weighted across 7 signals
•Replaces gut-feel grading
Section 01 · Quick definition
Definition.
In one pass
Lead Quality Score is a numerical rating from 0 to 100 that estimates the probability a given inbound contractor lead will close into a paid job. It is computed by weighting seven structural signals captured at lead intake: source, geography, job-type intent, urgency, budget range, decision-authority, and prior interaction history.
The structural assessment
The score sorts the lead: high-score leads get an immediate human callback, mid-score leads get a templated qualifier, and low-score leads get filtered out before the field calendar is touched. The number replaces gut-feel grading with a repeatable measure that can be back-tested against real close rates.
Section 02 · Why it matters
Why it matters.
Validation.
Test whether a proposed score separates qualified outcomes on held-out data. Do not infer a spend or close-rate relationship from the score alone.
A score supports prioritization only when the outcome record validates it.
Section 03 · How it runs
How the score is built and applied.
A Lead Quality Score is a weighted index. Each of the seven signals carries a point value, and the values sum to a 0-100 number that travels with the lead record from intake to the close-or-lost outcome. The weights are calibrated from the contractor's own historic close-rate data once the scoring system has six to twelve months of paired score-to-outcome pairs. Before that, default weights from the trade-vertical benchmark are used, with periodic recalibration.
01
Step one · signal capture at intake
The intake form, call script, or platform feed captures the seven structural signals before the lead lands in the contractor's CRM: source channel, geographic distance from base, job type requested, urgency window, stated or inferred budget, who has decision authority, and whether the contact has any prior history.
02
Step two · weighted scoring applied
Each signal is mapped to a point value. Source weight is the heaviest: an LSA call from a verified Google-Screened search will score higher than a lead-platform email blast. Geography near base scores higher than out-of-service-area. Specific job-type match scores higher than generic inquiry. The seven values sum to the 0-100 score.
03
Step three · guidance rule applied
Leads scoring 70+ trigger an immediate human callback inside the speed-to-lead window. Leads scoring 40-69 receive a templated qualifier email or SMS that filters whether the lead is real before a team member calls. Leads scoring under 40 are flagged for review but not guided to the field team.
04
Step four · outcome feedback loop
Every closed-or-lost outcome is paired back with the original score. After six to twelve months of paired data, the weights are recalibrated against the contractor's own close-rate-by-signal data, replacing the trade-vertical defaults with the contractor-specific reality.
The shift this concept names
Lead Quality Score is a numerical rating from 0 to 100 that estimates the probability a given inbound contractor lead will close into a paid job.
Before applying this concept
“A high-score lead is a guaranteed close.”
After applying this concept
Every closed-or-lost outcome is paired back with the original score. After six to twelve months of paired data, the weights are recalibrated against the contractor's own close-rate-by-signal data, replacing the trade-vertical defaults with the contractor-specific reality.
Section 04 · Common misunderstandings
What contractors get wrong.
Misunderstanding 01
“A high-score lead is a guaranteed close.”
A high score is a hypothesis, not a guaranteed close. Calibrate each score band against observed outcomes and revise it when performance drifts.
Misunderstanding 02
“Tone of voice on the first call tells me everything I need to know.”
Tone is a real signal but it is the late-stage signal. By the time tone is being assessed, the contractor has already paid for the lead, allocated the callback window, and is sitting on hold with a sales script. Compare the earlier-stage structural signals with observed close outcomes before using them to prioritize a callback.
Misunderstanding 03
“The lead platform's own quality rating is the quality rating.”
Lead-platform quality ratings optimize for the platform's revenue, not the contractor's margin. The platform rates a lead high when it can sell the lead. The contractor rates a lead high when it can close the lead. The two ratings disagree because they are measuring different events.
Misunderstanding 04
“Scoring is just spreadsheet work that the field team will not use.”
The score does not live on a spreadsheet for the field team. It lives as a guidance rule inside the CRM or call platform. The field team never sees the score; they only see whether the lead made it to their calendar or not. The system absorbs the cognitive load that gut-feel grading used to absorb.
Misunderstanding 05
“We'll start scoring when we have more leads.”
No universal spend or close-rate threshold requires scoring. Compare lead volume, field time, error cost, missed opportunities, and implementation effort before adding it.
Section 05 · Questions to ask
Questions a Stan Consulting marketing review asks.
What is the current close rate on the last 30 leads, and what was the close rate on the 30 leads before that?
What is the current close rate on the last 30 leads, and what was the close rate on the 30 leads before that?
Of the last 30 leads, how many came from each source channel, and what was the close rate per source?
What share of the lead spend went to the top-converting source, and what share went to the bottom-converting source?
How many of the last 30 leads were out-of-service-area, and was any of that spend recoverable as a credit or refund?
How are leads currently guided to the field team, and what is the rule that decides which leads get a same-day callback?
If a lead scoring rule were applied retroactively to the last 90 days of leads, which sources would survive and which would be cut?
Who on the team would own the score, and what cadence would they recalibrate the weights on?
Stan's take · four points
I have sat with a roofer who paid for forty-seven leads in a month and closed three of them. He thought the problem was his salesperson.
The problem was the lead mix. Three of the forty-seven came from a search-engine source that closed at 38%.
The other forty-four came from a lead-platform feed that closed at 2.1%. He was paying the same dollar per lead across the whole pool, and the field team was grading every call by tone of voice on the second sentence.
When we scored the last 30 leads against a quality measure, the bottom-converting forty-four were so obviously bad that the salesperson's tone-of-voice grade had been completely beside the point. The score did the work the gut had been failing to do for six straight months.
Stan Tscherenkow · Principal · Stan Consulting LLC
Section 06 · Adjacent concepts
Related Atlas entries.
Section 07 · Sources
Sources.
ContractorTalk · Lead-platform threads
Multi-page forum threads documenting the contractor experience with lead-platform feeds: wrong numbers, never-respond contacts, and services-not-offered inquiries charged at $25-$65 per lead.
r/Contractor · Reddit community
Reddit's contractor community thread archive on lead-platform quality complaints, lead-source benchmarking, and close-rate-by-channel discussion.
Better Business Bureau · Lead-platform complaint pattern
1,800+ BBB complaints documenting the "Angi credits" forced re-spend model that refuses cash refunds for misrepresented or non-responsive leads.
Search Engine Land · Local lead-quality tracking
Industry coverage of lead-quality scoring frameworks, source-attribution methods, and the shift from gut-feel grading to data-driven guidance in home services.
Hatch · Speed-to-lead and quality-scoring research
Hatch-published data on contractor speed-to-lead, quality scoring, and the conversion-rate lift from systematic source-and-signal guidance.