Sales Tech Performance Indicators for Home Services: Revenue per Lead, Close Rate, and Average Ticket

Most home services companies have visibility into one number: total revenue. Few know their revenue per lead, close rate by channel, or how average ticket size drives profitability. That’s not a minor gap—it’s the difference between guessing at marketing ROI and actually knowing what works. Here are the five key sales metrics every home services company should track, how to calculate them, and what PE buyers are looking for when they evaluate your business.

The 5 Core Sales Performance Metrics

1. Revenue per Lead (RPL)

This is deceptively simple but critical: total revenue divided by total leads. If you generated $500K in revenue from 1,000 leads, your RPL is $500.

What it tells you: how efficiently you convert lead volume into cash. A company with $500 RPL is extracting twice as much value from each prospect as one with $250 RPL.

How to calculate it:

• Pull last 12 months of revenue (preferably from ServiceTitan or your field management system)
• Pull total leads from that period (from your CRM or estimate: all calls, emails, web forms, referrals)
• Divide: Revenue ÷ Leads = RPL

Industry benchmark by trade:

If your RPL is below the lower bound, your issue is one of three: poor close rate, low average ticket size, or both.

2. Close Rate (Overall and by Channel)

Close rate is leads to jobs: what percentage of leads that make it to a quote or proposal actually convert to a paid job?

Formula: (Jobs Closed ÷ Total Quotes) × 100

Industry benchmark: 20–40% for most home services companies. Elite companies hit 45–55%. If you’re below 20%, your sales process or pricing is broken.

But the real insight is close rate by channel:

• Google Local Services Ads (LSA): 30–45% (highly qualified, already searching)
• Organic referrals: 35–50% (warm leads from happy customers)
• Paid Facebook/Google Ads: 15–25% (broader audience, less qualified)
• Website calls/forms: 20–35% (mixed intent)
• Repeat/loyalty customers: 60–80% (existing relationships)

If your Facebook close rate is 18% but LSA is 42%, you’re wasting spend on Facebook. Reallocate to LSA and watch your revenue per marketing dollar climb.

3. Average Ticket Size (ATS)

Total revenue divided by total jobs completed. If you did $500K revenue on 1,250 jobs, your ATS is $400.

Industry benchmark: $300–$600 depending on trade and service mix. Residential is lower; commercial is higher. Emergency/emergency-adjacent service is higher (customers pay premium for speed).

Most companies underestimate their ATS optimization opportunity. A company with $350 ATS and 1,000 annual jobs ($350K revenue) that bumps ATS to $400 (through better scoping, upselling, higher pricing) hits $400K—a 14% revenue increase with zero additional jobs.

4. Customer Acquisition Cost (CAC)

Total marketing spend divided by new customers acquired in a period.

Formula: Marketing Spend ÷ New Customers = CAC

Industry benchmark: $150–$400 per customer depending on market and channel. LSA is usually $100–$200 per customer. Paid ads can be $300–$500.

To make this meaningful, multiply by average customer lifetime value (LTV). If your CAC is $200 and your LTV is $2,000 (e.g., 5 annual jobs × $400 ATS), your LTV:CAC ratio is 10:1—very healthy. If LTV is $800, the ratio is 4:1—tighter but still workable. Below 3:1, your unit economics are broken.

5. Service Agreement Penetration

The percentage of your customer base on recurring maintenance plans. The agreements themselves are small dollars (typically $150–$250/year), but each one is a contracted touchpoint that drives upsells, additional service work, and replacements when systems age out.

Industry benchmark: 15–35% of customers should be on some form of agreement or recurring service. PE platforms hit 25–40% because they systematically pitch agreements and bundle them with financing. Independents average 10–20%.

The agreement revenue itself is modest. The real value: a customer on a maintenance plan is significantly more likely to hire you for the next replacement, major repair, or upsell — and you have two contracted opportunities per year to identify those needs. Track penetration not for the agreement revenue, but as a leading indicator of your future replacement pipeline.

How These Metrics Connect: The Revenue System

Revenue per lead is really a function of all the others:

RPL = (Close Rate × Average Ticket Size) + (Service Agreement Penetration × Annual Agreement Value)

If you want to improve RPL, you have three levers:

1. Improve close rate (better sales process, better qualifying, better proposals). +5% close rate = +5% revenue with zero new leads.
2. Increase average ticket (better scoping, upselling, premium pricing). +$50 ATS on 1,000 jobs = +$50K revenue.
3. Grow service agreements (more recurring, lower-friction revenue). +10% penetration = recurring revenue boost.

Pulling These Metrics from ServiceTitan and Field Management Systems

If you use ServiceTitan, your data is already there. Here’s where to find it:

• Revenue and jobs: Reports → Performance Dashboard or custom report
• Close rate: Leads module → filter by status (quoted vs. completed)
• Customer acquisition source: Leads module → source attribution
• Service agreements: Customers → filter for active agreements

If you’re still on paper, spreadsheets, or a basic CRM, this is your wake-up call. You cannot manage what you cannot measure. ServiceTitan and similar platforms cost $300–$1,000/month and pay for themselves immediately through visibility alone.

What PE Buyers Are Looking For

When a private equity firm evaluates your business, they pull these exact metrics. Here’s what they care about:

• RPL and close rate by channel – Can they optimize marketing spend post-acquisition? Is there ROI upside?
• Service agreement penetration – How much recurring revenue is already locked in? Room to expand?
• Customer retention and LTV – Are customers sticky? What’s the durability of revenue?
• Scalability of sales process – Can they 2x your leads and 3x your team without the close rate falling? (Most can’t.)

Companies with clean metrics, growing RPL, high close rates, and strong service agreement penetration fetch 5.5–6.5x EBITDA. Companies where these metrics are fuzzy or declining fetch 3.5–4.5x.

Next Steps: Build Your Sales Dashboard

Pick one metric. Calculate it for the last 12 months. Then do this every month:

1. Track leads by source
2. Track jobs completed by source
3. Calculate close rate by source each month
4. Calculate average ticket size and RPL
5. Count active service agreements

Once you have visibility, you can optimize. Our guide on operational reporting for home services walks through setting up dashboards and connecting field data to profitability.

About the Author

Matthew Mooney

Matthew Mooney is a co-founder of Profitability Partners and a former private equity professional with deep experience in home services M&A. Over the course of his career, Matthew has reviewed over 200 acquisitions of HVAC, plumbing, roofing, and electrical companies. He previously worked at Apex Service Partners, one of the largest residential home services platforms in the country — giving him a rare, buyer-side perspective on what drives valuation, profitability, and deal structure in the trades. He now helps contractors and home services business owners optimize their financials, plan for exits, and maximize the value of their companies.

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Matthew Mooney

Matthew Mooney is a co-founder of Profitability Partners and a former private equity professional with deep experience in home services M&A. Over the course of his career, Matthew has reviewed over 200 acquisitions of HVAC, plumbing, roofing, and electrical companies. He previously worked at Apex Service Partners, one of the largest residential home services platforms in the country — giving him a rare, buyer-side perspective on what drives valuation, profitability, and deal structure in the trades. He now helps contractors and home services business owners optimize their financials, plan for exits, and maximize the value of their companies.