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Stan Consulting · Marketing Atlas · Reference · Construction Marketing

Lead Quality Score.

The 0-100 measure of whether an incoming contractor lead is worth quoting, working, or routing to voicemail. The diagnostic surface most contractors do not have.

Section 02 · Quick definition

Definition.

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 score routes 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 03 · Why it matters

Why it matters.

The contractor lead-platform economy runs on volume sold as quality. ContractorTalk and r/Contractor threads document the pattern: providers charge $25-$65 per lead for incoming inquiries that turn out to have wrong numbers, never respond, or ask for services the contractor does not offer. The same threads also document Angi's 1,800+ BBB complaints around the "Angi credits" forced re-spend model that refuses cash refunds. The contractor pays for the lead twice: once in dollars, once in field-team time wasted on a no-show.

Without a quality score, every lead looks like every other lead until the field team has already driven to it. With a quality score, the spend pattern becomes visible. A contractor who scores the last 30 leads against a quality measure usually discovers that 60% of the lead spend produced 10% of the actual close-rate, and the high-converting 40% sits in two or three lead sources that the contractor was treating as equal to all the rest.

The practical stake is that lead quality, not lead count, is the budget-routing variable. The contractor who cannot score it cannot reroute it.

Section 04 · How it works

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.

  1. 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.

  2. 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.

  3. Step three · routing 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 routed to the field team.

  4. 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 four-step loop is the difference between a contractor who is reactively grading leads on the field truck and a contractor who has a measured, recalibrating system. The score is not magic. The score is just a number that survives the audit because it was built from the contractor's own outcome data.

Section 05 · Common misunderstandings

What contractors get wrong.

  1. “A high-score lead is a guaranteed close.”

    A high score is a probability statement, not a certainty. A lead scoring 85 will close roughly 50-65% of the time in most residential trades; the remaining 35-50% are still legitimate no-closes for non-score reasons such as competitor pricing, project cancellation, or buyer-side delay.

  2. “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 read, the contractor has already paid for the lead, allocated the callback window, and is sitting on hold with a sales script. The earlier-stage structural signals predict close-rate within 70-85% accuracy without any human-call input.

  3. “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.

  4. “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 routing 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.

  5. “We'll start scoring when we have more leads.”

    More leads is the wrong threshold. The right threshold is when lead spend exceeds $1,500 per month or when close rate drops below 25%. Both thresholds indicate that gut-feel grading is no longer cheap enough to be the system. Scoring is what replaces the gut.

Section 06 · Diagnostic questions

Questions a Stan Consulting diagnostic asks.

  1. What is the current close rate on the last 30 leads, and what was the close rate on the 30 leads before that?

  2. Of the last 30 leads, how many came from each source channel, and what was the close rate per source?

  3. What share of the lead spend went to the top-converting source, and what share went to the bottom-converting source?

  4. How many of the last 30 leads were out-of-service-area, and was any of that spend recoverable as a credit or refund?

  5. How are leads currently routed to the field team, and what is the rule that decides which leads get a same-day callback?

  6. If a lead scoring rule were applied retroactively to the last 90 days of leads, which sources would survive and which would be cut?

  7. Who on the team would own the score, and what cadence would they recalibrate the weights on?

Section 07 · Related Atlas entries

Section 08 · Five Cents

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 · Marketing Atlas

Section 09 · Sources

Sources.

  1. 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.
  2. r/Contractor · Reddit community Reddit's contractor community thread archive on lead-platform quality complaints, lead-source benchmarking, and close-rate-by-channel discussion.
  3. 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.
  4. Search Engine Land · Local lead-quality reporting Industry coverage of lead-quality scoring frameworks, source-attribution methods, and the shift from gut-feel grading to data-driven routing in home services.
  5. 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 routing.