Feature · Contractor Lead Scoring

AI lead scoring that reads a flooring job the way a flooring estimator would.

Lead scoring for a flooring contractor is not lead scoring for a B2B SaaS. The signals that drive a flooring sale are project size (square footage, material choice), project timeline (ready-to-start now vs vague "thinking about it"), referral source (realtor referral converts at a different rate from Google Ads), crew capacity (do we have an installer available in that zip code), and material margin (hardwood margins differ from LVP). Strkr AI lead scoring runs a contractor-aware model that reads those signals natively while staying inside a flat $50 per seat with no per-score meter.

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What a flooring estimator reads on a lead

Seven signals the standard lead score misses.

A good flooring estimator can look at an inbound lead and sort it in 15 seconds: this one is a 2,400 square foot hardwood job for a serious buyer with a December install date; this one is a vague "I am thinking about new carpet" from someone who has emailed three other contractors. The signals the estimator reads are not firmographic. They are project-specific. Strkr AI lead scoring reads those signals natively so the estimator starts from a sorted list rather than fishing through 40 inbound forms.

Project size

Square footage times material tier.

The project size signal reads square footage and material tier (laminate, LVP, carpet, engineered hardwood, solid hardwood, tile). A 2,400 square foot hardwood job scores dramatically higher than a 300 square foot bathroom tile job. The score cites the source square footage field (self-reported on the form, or the AI estimate from uploaded photos where applicable).

Timeline urgency

Ready to schedule vs "thinking about it".

The timeline signal reads how specific the lead is about install timing. A ready-to-install-within-30-days answer scores higher than a looking-into-options answer. A must-be-done-before-Thanksgiving answer scores higher than a sometime-next-year answer. The score cites the lead response to the timing question and the lead age.

Referral source

Realtor, past customer, Google Ads.

The referral source signal weights by historical conversion rate per source. A realtor referral converts higher than a Google Ads lead at your business. The signal cites the referral source and shows the historical conversion rate inline so the estimator knows the context.

Crew capacity

Do we have an installer in that zip code.

The crew capacity signal reads whether an installer is available in the target zip code within the lead stated timeline. A lead in a zip code where the next available install slot is six weeks out scores lower on urgency even if everything else is strong, because the sale will stall on scheduling.

Material margin

Hardwood vs LVP vs carpet.

The material margin signal weights by typical margin per material. Hardwood jobs often carry higher margin than LVP; LVP carries higher margin than builder-grade carpet. The signal lets the estimator know whether the lead is worth prioritizing based on expected profit, not just revenue. The margin data is per-tenant configured.

Decision complexity

One decision maker vs committee.

The decision complexity signal reads whether the lead is a single decision maker, a couple, or a landlord-tenant setup. Single decision maker closes faster. Couples add two to three weeks on average. Landlord-tenant setups stall on approvals. The signal cites the form response and the lead note.

Budget signal

Price-sensitive vs quality-focused language.

The budget signal reads the language in the lead form (phrases like looking-for-the-cheapest vs want-the-best) and any budget range self-reported. Price-sensitive leads work differently than quality-focused leads. The score cites the phrases that drove the signal so the estimator approaches with the right positioning.

How the contractor model works

The parts the sales lead actually tunes.

Lead scoring that nobody can tune becomes shelfware. The contractor model surfaces the same configuration primitives as the general Strkr model: signal weights, custom field weights, threshold routing. The contractor overlay adds material margin configuration, crew capacity integration, and referral source conversion history. The sales lead on a flooring team tunes without a data science engagement.

Material catalog

Materials, tiers, margins.

The material catalog lists the materials the business sells with margin tier configuration. A hardwood job at a 42% margin tier scores differently from a carpet job at a 28% margin tier. The sales lead edits the margins through the admin UI; the model recomputes on the next nightly run.

Zip code capacity

Crew availability by region.

The crew capacity integration pulls installer availability by zip code from the scheduling system. Zip codes with next-available-slots inside the lead timeline score higher. Zip codes six weeks out score lower on urgency. The common failure where leads book onto a schedule the business cannot deliver gets avoided.

Referral source weights

Conversion history per source.

The referral source weights are learned from the historical conversion rate per source over the trailing 180 days. Realtor referrals, past-customer referrals, Google Ads, Instagram, Yelp, and home shows each carry their own weight. The sales lead sees the weights and can override.

Timeline urgency curve

Decay function on lead age.

The timeline urgency signal applies a decay function on lead age: a day-1 lead scores higher than a day-7 lead even if everything else is equal, because flooring leads cool quickly. The decay curve is tunable per tenant; businesses with longer sales cycles (custom hardwood) tune a slower decay than businesses with shorter cycles (vinyl replacements).

Nightly recompute

Scores by Monday morning.

The model runs nightly across every open lead. Scores land on records by Monday morning for the estimator to work from. Intra-day re-scoring fires on explicit triggers (new photo uploaded, new timeline response, measurement scheduled) so recently-moved leads reflect the updated score within the hour.

Threshold routing

High-score leads to the senior estimator.

The routing rules send high-score leads (large project, short timeline, high margin) to the senior estimator for the first-touch call. Mid-score leads route to the standard estimator queue. Low-score leads route to the nurture sequence. The common failure where a $42,000 hardwood job sits in a shared inbox while an estimator calls a $600 carpet repair gets closed off.

What the estimator sees in the workflow

Six surfaces the contractor sales team uses daily.

A contractor sales team does not want more dashboards. They want the next call cued up with the context ready. Strkr surfaces the scoring in the daily workflow so the estimator opens the day on a sorted call list with the project context, the margin estimate, and the recommended opener all on one surface. The scoring is a workflow accelerator, not a reporting line.

Daily call list

Sorted by score, context inline.

The daily call list opens on the sorted lead list with project size, timeline, material, referral source, and the top score driver visible inline. The estimator picks up the phone with the context already loaded. The common failure where an estimator spends 90 seconds reading the lead note before every call gets closed off because the context is on the row.

Measurement scheduling

Capacity-aware calendar.

When a lead qualifies for a measurement visit, the scheduling surface shows capacity-aware slots in the lead zip code. The estimator books the slot in-conversation. The common failure where the sale stalls on scheduling back-and-forth gets closed off because the slots are visible on the call.

Quote draft

From measurement to quote in minutes.

Post-measurement, the quote draft agent reads the measurement data (square footage, material choice, special conditions like subfloor prep), applies the current pricing catalog, and generates the quote document. The estimator reviews, adjusts for site conditions, and sends. First-draft quote time drops from an hour to minutes.

Material margin panel

Expected profit on every quote.

The material margin panel on the quote draft shows expected profit per line and total expected margin. The estimator sees whether the quote protects margin before sending. The common failure where a competitive quote lands at a loss because the estimator missed a cost line gets avoided.

Follow-up drafting

Rep-voice emails on stalled quotes.

For quotes stalled past the follow-up SLA, Strkr AI drafts a follow-up citing the project details and the quote expiration. The estimator approves in a minute and sends. The common failure where a quote lingers for three weeks without a follow-up because the estimator forgot gets closed off.

Install handoff

Signed quote to installer, context included.

On signed quote, the handoff surface creates the install job with the full project context: material, square footage, site conditions, special requirements, timeline, and the customer notes from the sales process. The installer walks on-site with the context the estimator captured, not with a scheduling note.

What ships with the pricing posture

Flat seat for contractor teams of any size.

Flooring contractor teams tend to run small (3 to 25 seats on the sales side plus the back-office functions). The flat $50 per seat covers the full stack with no per-score meter and no per-quote meter. A 12-seat flooring business runs the full AI stack for $600 per month, including every connector and the audit log. The pricing shape matches the business reality of contractor teams rather than enterprise sales.

Flat per seat

$50 per seat covers everything.

Flat $50 per seat per month covers the full AI lead scoring stack, the quote drafting, the follow-up drafting, the install handoff, the connectors, and the audit log. No per-score meter. No per-quote fee. A 12-seat flooring business runs the full stack for $600 per month.

No per-measurement fee

Measurement data processing included.

Measurement data processing (reading uploaded photos for square footage estimates, parsing measurement notes, generating the quote draft) ships inside the seat price. The common failure where "AI measurement" is a per-use add-on priced above the margin on a repair job gets avoided.

SMS included

Strkr Messaging for appointment reminders.

Strkr Messaging ships at $29 per month base plus carrier passthrough ($0.02 per SMS, $0.05 per MMS). Contractor teams use SMS heavily for appointment confirmations, measurement reminders, and quote follow-ups. The pricing is transparent against the carrier invoice.

Audit on every write

Compliance for licensed contractor rules.

Every AI write to a lead or a quote lands in the audit log with the acting user and the timestamp. For states with contractor licensing rules that require advertising and quoting trails, the audit log carries the evidence. The common failure where "which quote went to the customer on 2026-03-15" has no answer at a licensing board hearing does not happen.

QuickBooks integration

Signed quote to invoice.

The QuickBooks integration ships at the seat price. On signed quote, the invoice generates in QuickBooks with the line items, the deposit terms, and the install schedule. The back-office spends less time on data entry and more on collections.

Mobile

The estimator in the truck.

The mobile surface covers the measurement visit, the on-site quote draft, and the signed-at-the-table close. Offline mode holds measurements until connectivity returns. The common failure where "I will send you the quote tomorrow" loses the sale to a competitor who closed at the table gets avoided.

AI lead scoring built for flooring and contractor sales.

Strkr AI reads project size, timeline, referral source, crew capacity, and material margin to sort your inbound leads. Quote drafting, follow-up automation, install handoff included. Flat $50 per seat with no per-score meter.

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Common questions

What buyers ask about this feature.

How does lead scoring for a flooring contractor differ from B2B lead scoring?

B2B lead scoring reads firmographic match, tech stack, and behavioral intent. Contractor lead scoring reads project size (square footage times material tier), timeline urgency, referral source conversion history, crew capacity in the target zip code, material margin, decision complexity, and budget language. The practice buying a $600 carpet repair is a different buyer from the household booking a $42,000 hardwood install, and the scoring reflects that. The contractor overlay is a native layer on the general Strkr lead scoring model, not a separate product.

Can the system estimate square footage from photos?

For leads that upload photos of the space, the AI can produce a rough square footage estimate as a starting point. The estimator confirms with an on-site measurement before quoting. The estimate is useful for lead sort order (a photo-estimated 2,400 square foot space scores higher than a 300 square foot space) rather than for final quoting. Final quotes always run against the on-site measurement. The common failure where an AI photo estimate ends up in a signed quote and the install discovers a 15% square footage error does not happen because the on-site measurement is the quote source.

How does the model handle crew capacity in the scoring?

The crew capacity integration pulls installer availability by zip code from the scheduling system. Zip codes with next-available-slots inside the lead stated timeline score higher on urgency. Zip codes six weeks out score lower even if everything else is strong, because the sale will stall on scheduling. The common failure where a lead books onto a schedule the business cannot deliver gets avoided. Admin configures the schedule integration during setup.

What happens after the quote is signed?

The install handoff surface creates the install job with the full project context: material, square footage, site conditions, special requirements, timeline, and customer notes. The installer walks on-site with the context the estimator captured. The QuickBooks integration generates the invoice on signed quote with line items, deposit terms, and the install schedule. The back-office spends less time on data entry and the installer spends less time on-site asking the customer questions the estimator already answered.

Does the AI write to the record under the estimator permissions?

Yes. Every AI agent runs with the acting user permissions. Field-level, row-level, and object-level permissions apply the same way they apply to a form. An estimator who cannot see certain fields (margin data on a particular tier, for example) does not have those fields exposed through the AI tier. The audit log carries every AI write with the acting user and the timestamp. For states with contractor licensing rules that require advertising and quoting trails, the audit log carries the evidence.

Does lead scoring ship with a per-score meter?

No. Strkr is $50 per seat flat with no per-score meter, no per-quote fee, and no per-measurement fee. A flooring business scoring 500 leads a month costs the same as a business scoring 50. A 12-seat flooring business runs the full AI stack (lead scoring, quote drafting, follow-up automation, install handoff, QuickBooks integration, Strkr Messaging base) for $600 per month plus the Strkr Messaging base ($29 per month) and SMS passthrough. The pricing is transparent and documented on the pricing page.

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