Close Rate Calculator

What's a healthy close rate for home service trades?

Overall lead-to-job: 10-18% is healthy. Under 8% usually means lead quality or offer issues. Lead-to-appointment should be 30-50%; appointment-to-job should be 25-45%. If both are below those ranges, work on lead quality first, then funnel.

Why is my appointment-to-job rate so low?

Most common cause: competing quotes. Homeowners booking 3-5 quotes close at 10-20%. Less common: pricing transparency issues, weak warranty positioning, or slow proposal turnaround. Audit the 48 hours between quote and decision — that's usually where you lose them.

How often should I check these numbers?

Monthly. Track last-90-days rolling rates so you smooth out single-week anomalies. Big changes month-over-month signal something material — new ad creative launching, new offer, seasonal demand shift, or team process changes.

Where do most contractors' funnels break down?

Speed to lead — 80% of leaks happen in the first 5 minutes after a lead submits. Response times over 1 hour drop close rate 40-60%. Automating instant SMS + calendar link typically adds 10-20 percentage points to lead-to-appointment rate overnight.

Should I measure close rate per channel separately?

Yes — absolutely. Meta lead form leads close at 8-15%. Meta landing page leads close at 15-25%. Referrals close at 40-60%. Google LSA closes at 25-40%. Blending them into a single number hides the winners and losers. Track per-source close rate + cost per booked job for each channel — then shift budget to whichever source produces the lowest cost-per-booked-job for your trade.

How do I get my whole team to track these conversion rates?

Make ONE person responsible for the report. Distributed tracking dies inside 2 weeks; centralized tracking survives. Standard setup: receptionist or office manager logs every lead's status weekly (booked/no-show/closed/lost) into a simple sheet. 5 minutes per week. The owner reviews monthly. If no one owns the data, the data won't exist — and you'll be guessing about ROAS forever.

What's the relationship between speed-to-lead and close rate?

Tightly correlated. Industry data: contacting leads within 1 minute = 30-50% close rate. Within 5 minutes = 20-30%. Within 1 hour = 10-15%. After 24 hours = under 5%. The decay is steep and predictable. Most contractors under-invest in follow-up speed because they don't see the data — set up automated SMS within 60 seconds and watch close rate jump immediately.

How many follow-up attempts should I make before marking a lead 'lost'?

Minimum 7 attempts across 14 days. Cadence that works: (1) immediate SMS within 60 seconds; (2) call within 5 minutes; (3) voicemail + text combo at 1 hour; (4) call again next morning; (5) email with calendar link day 2; (6) text again day 4; (7) final 'closing the loop' call day 7-14. Most contractors give up after 1-2 attempts and lose 40-60% of contactable leads. The contractors hitting 25%+ close rates are systematically following the 7-touch sequence — not because they're better salespeople, but because they don't quit. Set up automation so attempts 1-3 fire automatically; only attempts 4-7 need human time.

What's the highest-leverage place to improve close rate — is it the call script, the appointment, or the proposal?

Almost always the appointment-setting call (between lead submit and scheduled estimate). Industry data: of leads that submit but never close, 60-70% are lost in the first conversation, not at the proposal stage. Common appointment-call mistakes: (1) leading with availability ('When are you free this week?') vs leading with qualification ('Tell me about the issue first'); (2) not pre-framing the in-home visit ('I'll bring a tablet, walk through the issue, and email you a written estimate within 48 hours'); (3) skipping the budget conversation ('Most projects run between $X and $Y — does that align with what you're expecting?'). Fix the appointment-setting script and close rate jumps 20-40 percentage points. Most contractors over-invest in proposal polish (CRM templates, glossy PDFs) and under-invest in the 5-minute conversation that determines whether the proposal even matters.

How do no-show rates typically affect close rate calculations, and how do I reduce them?

No-shows typically run 15-30% for home service contractors and silently destroy reported close rates. Two-part fix: (1) MEASURE — track 'appointments scheduled' separately from 'appointments held.' Without separating these, your reported close rate looks worse than reality (because no-shows count as 'didn't close'); (2) REDUCE — confirmation cadence the day before + day of: SMS at 24 hours before ('Confirming your roofer visit at 10am tomorrow — reply CONFIRM or RESCHEDULE'); SMS again at 1 hour before ('On my way, ETA 10:05am'); call if no SMS reply by 30 min before. This 3-touch confirmation cuts no-shows from 25% to 8-12% within 30 days. The math: contractors with 25% no-show rates have ~75% of their 'true' close rate suppressed; fixing it lifts reported close rate by 15-20 percentage points without any sales improvement. Single biggest underrated lever in contractor close rate.

How does close rate vary by service type within the same business — and should I track them separately?

Yes, separately. Three typical service-type close rate bands within home service: (1) EMERGENCY services (plumbing leak, HVAC outage) — close at 50-70%, customer is in crisis, need-shop not price-shop; (2) MAINTENANCE services (annual tune-up, recurring lawn care) — close at 30-45%, lower friction but less urgency; (3) PROJECT services (roof replacement, kitchen remodel, solar install) — close at 15-30%, longer consideration cycle + multiple quotes typical. Tracking blended close rate hides which service type drives revenue. Best practice: run this calculator separately for each service line; report 3 close rates to your team monthly; set 3 different campaigns optimized to the close-rate-appropriate offer architecture (emergency = speed; maintenance = recurring billing; project = trust + risk-reversal). Most contractors blend all services into one number and accidentally over-invest in low-close-rate service lines because those have higher ticket values.

How do I diagnose whether my close rate problem is sales-skill, sales-volume, or systemic?

Use a 3-test diagnostic in this order: (1) SALES-SKILL test — pull the last 20 lost leads, ask each rep to write a one-line reason for the loss. Then YOU re-call 5 of them to ask 'what would have made you say yes?' If reps cite 'price' but customers cite 'communication delays,' the issue is rep skill or process — not pricing. Skill issues fix with training + script updates; (2) SALES-VOLUME test — measure first-touch response time per lead. If average response time is >30 minutes when you're at full volume but <5 minutes during slow weeks, the issue is volume capacity. Volume issues fix with hiring or automation; (3) SYSTEMIC test — pull close rates by lead source, by day-of-week, by service line. If the variance is small (within 10 percentage points), the issue is systemic (offer too weak, brand reputation issue, market price-shopping). Systemic issues require strategic fixes — not faster phone answers. Most contractors diagnose 'close rate is bad' as a sales-skill problem when it's actually one of the other two. Run all three tests before deciding what to fix.

What's the right number to incentivize sales reps on — close rate, revenue, or cost-per-booked-job?

REVENUE with a quality floor — not pure close rate. Three reasons: (1) PURE close-rate incentives encourage cherry-picking — reps avoid hard leads + game which leads they take; (2) COST-PER-BOOKED-JOB incentives create misalignment — reps don't control marketing spend, so blaming them for it is unfair; (3) REVENUE incentives align them with business outcome but pure revenue invites under-discounting (close at any price = lower close margin). The ideal model: base salary + commission on revenue × close rate floor. Example: 5% commission on revenue from booked jobs, but only IF rep maintains 18%+ close rate. Below 18%, no commission until they recover. Encourages closing volume + closing quality without penalizing reps for marketing-team decisions. Set the close-rate floor based on your trade's typical median (use this calculator's outputs). Adjust quarterly. Most contractors over-simplify rep incentives + end up with reps who chase the wrong outcome. The right comp plan aligns rep behavior with business goals.

How do I get truthful close-rate data from my reps — they tend to round up to make themselves look better?

Decouple data from rep self-reporting. Three structural fixes: (1) AUTOMATIC tracking — your CRM should mark every lead as 'won' or 'lost' based on actual paid invoice status, not rep status updates. Tie close rate calculation to invoice data, not rep-marked deal status. Most CRMs (HubSpot, GoHighLevel, ServiceTitan) support this; (2) WEEKLY review of WIN/LOSS REASONS — reps fill out a one-line reason for every lost lead. Pattern-match across their list: if 'price too high' appears 80% of the time for one rep but 20% for another, the issue isn't price (it's the rep's tendency to blame price). Forces honest categorization; (3) RANDOM AUDIT — call 2-3 lost leads per rep per month yourself. Verify what the rep recorded as the loss reason matches what the customer actually says. 1-2 audits per quarter is enough to keep reps honest. Don't trust self-reported close rates without these structural checks; reps are not lying maliciously, they're just managing their own narrative + close rates drift upward in self-reports by 5-15 percentage points typically.

What's the right way to share close rate data with my marketing team or agency without creating finger-pointing?

Frame close rate data as a SHARED diagnostic across two teams (sales + marketing), not a sales-team-only metric. Three communication tactics: (1) DECOMPOSE the metric — 'Our cost per booked job is $385. That's CPL × (1/lead-to-appt rate) × (1/appt-to-close rate). Marketing owns the first; sales owns the last two; we own the middle together (handoff process).' Each team has clear ownership; (2) SHARE the FULL chain in weekly reports — show CPL, lead-to-appt rate, AND appt-to-close rate in one view. When close rate drops, marketing can see they didn't suddenly start sending bad leads (CPL didn't drop). When CPL spikes, sales can see they're not at fault. Transparency prevents finger-pointing; (3) CO-OWNED IMPROVEMENT TARGETS — instead of 'marketing should hit X CPL' + 'sales should hit Y close rate' separately, set 'we should hit Z cost-per-booked-job' as a SHARED target. Forces collaboration on the metric that actually matters. Most contractors silo close-rate data + create rivalry between marketing + sales; transparency + shared metrics build collaboration.

What close rate trends should I tracked WEEKLY to catch problems before they become bad-month catastrophes?

Track 4 weekly leading indicators that predict close rate 2-4 weeks in advance: (1) FIRST-TOUCH response time (median seconds from lead-submit to first contact) — when this slips above 5 minutes, close rate drops 5-15 points 2 weeks later; (2) APPOINTMENT-SET rate (% of leads who scheduled appointment within 48 hours) — predicts how many leads make it through the first funnel stage; (3) NO-SHOW rate at scheduled appointments — silent close-rate killer; rises before appointments-held drop; (4) PROPOSAL turnaround time (median hours from in-home visit to written estimate sent) — slow proposal turnaround correlates with prospects shopping competitors during the gap. All four checked weekly = 5-minute review. Catches issues 2-4 weeks before they show up in monthly close rate aggregates. Most contractors track close rate AS the lagging metric; the four leading indicators above PREDICT close rate. Build a 4-row dashboard for these alongside CPL + CPBJ; review every Tuesday morning + escalate any leading indicator that's drifted >15% from baseline.