A maximum cost per lead is the most a single lead can cost before marketing takes more than its planned share of revenue. Multiply average job price by the share of leads that become jobs, then by that marketing share.
Everett (not his real name) owns a waterproofing and foundation company with a $2.4 million revenue goal for 2026. The model he built with Stuart Trier capped a lead at about $179, against an estimated $312 in 2025.
Calculating a maximum cost per lead means finding the most a company can pay for a single lead while keeping marketing at its target share of revenue. Stuart built the math with Everett's own figures, starting from the revenue goal and working back through the sales funnel.
| Step | Everett's figure | What it produces |
|---|---|---|
| Revenue goal | $2,400,000 | The target every other step works back from |
| Average job price | $7,000 | 343 jobs needed ($2,400,000 ÷ $7,000) |
| Close rate on proposals | 30% | 1,143 proposals needed (343 ÷ 0.30) |
| Share of leads that reach a proposal | 85% (Everett's estimate) | 1,345 leads needed (1,143 ÷ 0.85) |
| Marketing share of revenue | 10% | $240,000 a year, or $20,000 a month |
| Budget divided by leads | $240,000 ÷ 1,345 | About $179 per lead |
Everett's CRM did not track how many leads reached a proposal ("we don't track that," he said); 85% was therefore his best estimate. Still, it is easy to replace once he counts.
A shorter route yields the same answer. What is a single lead worth to this business? On average, $1,785 of revenue, because 25.5% of leads become jobs (85% reach a proposal and 30% of those close) and each job is $7,000. Marketing at 10% of $1,785 is $178.50, which is the $179 in the table before the job and lead counts are rounded.
To see where you stand today, divide last year's marketing spend by last year's leads. Everett's 2025 revenue came to nearly $1.75 million, and marketing accounted for about 13% of it (roughly $227,500). Spread over the 729 qualified leads in Stuart's model, that's about $312 a lead.
That is $133 above the ceiling on every lead.
With an average job of about $8,000, $1.75 million of revenue is about 219 jobs. That puts marketing at roughly $1,039 per job ($227,500 ÷ 219).
Because Everett's CRM was weak on reporting, the lead count is an estimate; Stuart called the math directionally accurate while saying it might not be perfect. Even if the real lead count were 20% higher (875), the cost would be $260, well above $179. (The $312 comes from 2025 actuals and the $179 from the 2026 plan; the 2 use different inputs, but the direction is clear.)
Stuart's target for marketing was 8% to 10% of revenue, down from about 13%. On $1.75 million, 3 points is $52,500 a year. He told Everett that at these costs it was hard to make money, and Everett agreed: "That's why we're not making money."
Blended cost per lead means total marketing spend divided by total leads from every source, free ones included. Everett's free sources were referrals, trucks rolling down the street, signs, real estate contacts, and a free business profile listing on Google. His paid sources were pay-per-click ads, local lead ads, and an SEO retainer.
Because free leads pull the average down, paid sources can cost more than $179 a lead while the blend still comes out at or under $179, and Stuart said he was fine with that.
"What I want you to have in your mind is that it needs to blend to the $179."
— Stuart Trier
What counts as a lead? Stuart counts only qualified leads, and Everett drew the line at anyone booked for an estimate. The line matters. A marketing company can report 100 leads when only 50 are qualified, and dividing the same spend by 50 doubles the cost per lead.
Stuart's approach to each kind of source was short:
Stuart gave Everett a question for the marketing company: How will we track that we are hitting $179? Stuart said marketing companies often focus on their monthly bill, and the question shifts the conversation to results.
Everett was already unhappy with pay-per-click ads. He was spending $6,000 to $8,000 a month on them. Because they hadn't worked well in years, he planned to cut that by about 70% and put roughly $1,500 a month into each of pay-per-click and local lead ads.
The $179 ceiling gave him a test for whatever replaced it: the price per qualified lead.
For the first quarter, Stuart suggested $3,000 a month in paid ad spend and management fees ($9,000 in total). That buys about 50 leads at $179 each ($9,000 ÷ $179). He expected spending to ramp up after that, as long as each paid source stayed under $179.
Everett also paid a 20% to 25% management fee on his local lead ads. On a $2,000 monthly ad budget, 20% is $400 a month for a campaign Everett said needed almost no management once it was set up. Stuart advised asking the marketing company to drop the fee.
Each of the 3 inputs changes the ceiling by a different amount. The table changes 1 input at a time on Everett's base figures ($7,000 job, 30% close rate, 85% of leads reaching a proposal, 10% marketing share).
| Change to a single input | Maximum cost per lead | Change from $178.50 |
|---|---|---|
| Average job price from $7,000 to $7,250 | $184.88 | +$6.38 |
| Close rate from 30% to 35% | $208.25 | +$29.75 |
| Marketing share from 10% to 8% | $142.80 | −$35.70 |
Only the first row comes from the planning session, where Stuart said that a $250 change alone "means we can spend an extra $6 a lead." The other 2 rows are arithmetic on the same inputs. A $250 increase in the average job sounds small until you multiply it by 343 jobs: that is $85,750 in added revenue.
Stuart's lower target, an 8% marketing share, drops the ceiling to $142.80, and at that level fewer paid sources would qualify.
"Everybody wants it to be cheaper to get more leads. We have to be able to spend more to get more leads."
— Stuart Trier
More spending per lead is affordable only after the average job price or the close rate rises. If both stay the same and marketing spend rises, profit falls, and cash and investment money fall with it.
Offering a referral reward turns a past customer into a lead source with a set cost per job. Stuart believed customers would be very receptive to a $200 cash reward for referring a friend, and that the company was not making the offer. Everett agreed that a referred lead is more likely than average to go with the company.
Stuart's first offer was $150 to $200 for each referred lead, plus another $150 when the lead buys. Paying $300 per customer against about $1,039 per job from paid marketing saves $739 on every referred job.
Everett suggested $100 per lead and $200 to $250 per sale. With the $250 sale reward, the saving is still $689 per job.
Few companies could replace every paid job with a referral. Even so, replacing all 219 jobs would save about $150,000 at $689 each, which is why Stuart wanted this math in view for every marketing decision. A referral system for a home service business needs 2 figures first: the reward per lead and the reward per sale.
Stuart added 2 more lead sources to the list: rewards for employees who bring in customers, and partner relationships in the community.
Any trade that pays for leads can use the same formula with its own inputs. These 4 examples use round figures chosen for illustration:
Work through these 5 steps with last year's books open:
Redo step 3 whenever the average job price or the close rate changes. A price increase raises the ceiling too, and how to raise prices without losing close rate covers how to do it.
Count them for a month. Tally qualified leads (anyone who booked an estimate) and proposals sent, then divide proposals by leads to get the share. Until you have a month of counts, you'll be working from a guess, and that guess matters more than you'd think. Everett said 85% on December 23, then 75% a week later. At 75%, his ceiling drops from $178.50 to $157.50, and the leads he needs rise from 1,345 to about 1,524. On the December 30 call, a dashboard from his previous coach showed 759 scheduled out of 860 leads since April (88%). Stuart's take: anywhere from 85% to 90% is solid.
Put one sheet next to whoever books the appointments and have them tick off every phone lead, email lead, and referral (nothing fancier is needed). The point is the weekly trend. If the weekly count drops from 15 leads to 5, something has broken, and Stuart's first move was to check that the web forms still worked and that calls to the company's phone numbers still got through to the office.
Set the share first, then let the revenue goal turn it into a monthly budget. Everett's plan used 10%, or $20,000 a month across all marketing, on a $2.4 million goal. Stuart's rule is to divide the full-year figure by 12 even though January is slower, because marketing dollars take time to pay back. Marketing was also 1 of 3 big cost lines Stuart wanted lowered, along with direct labor and materials.
Bring the data to the meeting: leads, jobs closed, close rate, revenue, and average job price. Stuart frames it as an offer (deliver leads under $179, and the budget grows), and in his experience the talks only go sour with marketers who don't want to be measured. He even volunteered to play "bad cop" himself so that Everett could stay on good terms with the company.
Divide the lead price by the lead-to-job rate, and you get what the source costs per job. With Everett's 25.5%, a $179 lead is about $702 per job, or 10% of a $7,000 sale; a $215 lead is about $843, or 12%. You can keep the $215 source as long as it supplies a minority of leads. If 1 lead in 5 costs $215, the other 4 have to average $170 or less for the blend to stay at $179. (Everett also mentioned that referrals close better than average, which means they'll need a close rate of their own once there's data.)
No. Home service coaching teaches owners a general budgeting method. A maximum cost per lead is one formula applied to one budget, and Stuart Trier built it from Everett's own 2025 figures, then set a first-quarter budget with him. He also asked each sales rep to fill in a shared sheet with every proposal and close; close rate and average job price will then come from that data.
Client details in this article have been changed to protect confidentiality. Any resemblance to a specific business is coincidental.
Stuart Trier is the Founder and CEO of Clear Results. Over the past 20 years, Stuart has built, bought, and sold 11 companies across the home service, healthcare, and marketing industries. He built his first company from startup to $8M in revenue in 3 years before a successful exit, then built a chain of 28 healthcare clinics and sold the business to a publicly traded company. Following that acquisition, Stuart spent 3 years working alongside the CEO, helping lead the organization through a take-private transaction before participating in a nine-figure exit to a Fortune 10 company. Today, he's the lead investor behind an electrical services platform operating across 3 U.S. states, and has worked directly with owners through 1,800+ strategic advisory sessions.
