Estimate Leads and Customers
Ad Spend ÷ CPL × Lead-to-Customer Conversion
$3,000 ÷ $50 × 20% = 12 customers
Build your marketing around profitable installations.
In the example below, $3,000 in ads generates 60 leads at $50 each. If 20% become customers, that is 12 installations. At $4,500 per job and a 50% gross margin, the model produces $27,000 in gross profit: a 9:1 ratio to ad spend.
Book Your Lighting Marketing AuditA good lead cost produces customers at a cost that supports your gross profit target. Start with job value, installation margin, and lead-to-customer conversion. Use 5:1 as an editable planning target, then measure whether the campaign delivers. These examples are hypothetical, not industry benchmarks or promised results.
The useful question is what your marketing produces after a lead becomes a customer.
For permanent lighting, begin with the revenue and direct costs of the installation. Add future customer value only when you have evidence to support it.
Enter these six inputs in the calculator:
A $4,500 installation at a 50% margin produces $2,250 in gross profit. At $50 per lead and 20% conversion, ads cost $250 per customer.
That gives you $9 in installation gross profit for every $1 in ad spend. It does not mean $9 in net profit.
Ad Spend ÷ CPL × Lead-to-Customer Conversion
$3,000 ÷ $50 × 20% = 12 customers
Customers × Installation Revenue × Gross Margin
12 × $4,500 × 50% = $27,000
Installation Gross Profit ÷ Ad Spend
$27,000 ÷ $3,000 = 9:1
The example exceeds a 5:1 planning target. After subtracting ads, $24,000 in gross profit remains before other acquisition costs, overhead, and tax. Installation costs are already reflected in gross margin.
Use your actual average job value.
A $4,500 job and a $2,500 job support different acquisition economics, even if the leads cost the same.
Measure customers against all leads from the same source and period.
A 20% conversion rate means one customer for every five leads. It is not the percentage of booked estimates that close.
Revenue is only part of the picture.
A $4,500 installation at a 30% margin produces $1,350 in gross profit.
At a 50% margin, the same revenue produces $2,250.
Include direct materials, installation labor, and other direct job costs consistently.
Understand what the homeowner is looking for.
A homeowner requesting a permanent lighting quote has a different intent from someone browsing holiday lighting ideas.
Your ad and landing page should explain the product and the next step clearly.
Define what makes a lead suitable for your installation business.
Useful checks may include:
Lead volume needs a team that can respond, quote, and install.
Track contact, booked estimates, quote delivery, follow-up, and completed jobs. Each stage can limit the result.
Lower CPL improves the ratio when job value, margin, and conversion hold steady. Compare these scenarios using $4,500 jobs, a 50% margin, and 20% lead-to-customer conversion.
Hypothetical comparisons, not a promised CPL range.
The $90 figure is the calculated ceiling for this example’s 5:1 ad-spend target. It is not a recommended bid or a universal lead price. Lower-cost leads only improve economics if quality and conversion hold up.
Compare what it costs to acquire a customer, not just to capture their details.
In this illustration, the $50 leads produce customers at one-third of the ad cost of the $15 leads.
At $2,250 gross profit per job, the ratios are 3:1 and 9:1 respectively. Lead quality matters through the customers and profit it produces.
Track the full path from ad click to installed customer.
A contact record is a starting point. Agree on qualification criteria before judging lead quality.
Is the property inside the area you can profitably serve?
Does the homeowner want permanent lighting rather than temporary holiday lighting?
When are they considering an installation?
Do their expectations fit the scope and pricing of your service?
Is the property suitable, and can this person authorize the work?
Can your team reach the homeowner to discuss an estimate?
Evaluate these criteria alongside conversion. A higher CPL can be worthwhile when it produces suitable customers at a profitable acquisition cost.
With 60 leads from $3,000 in ads, a 10% conversion rate produces 6 customers. A 15% rate produces 9. A 20% rate produces 12.
Ad cost per customer falls from $500 to about $333 to $250. With $2,250 gross profit per installation, the corresponding ratios are 4.5:1, 6.75:1, and 9:1.
This is a sensitivity example, not evidence that changing your sales process will double conversion.
Modeled customers when lead-to-customer conversion moves from 10% to 20%
Before increasing your budget, replace the model’s assumptions with results from your own pipeline.
Check service area, product interest, homeowner fit, and timing.
Measure contact rate, response speed, and follow-up.
Track booked estimates and delivered quotes separately.
Count closed installation customers from the same lead cohort.
Record actual job revenue and installation gross profit.
Compare CPL, ad cost per customer, and gross profit to ad spend. Assess full CAC separately.
Scale when the actual economics and your team’s capacity support it. A low CPL by itself is insufficient evidence.
Lower CPL can be useful, but a cheap lead with poor qualification or low conversion can create a higher CAC.
A high revenue-to-ad-spend ratio can hide thin installation margins.
Good opportunities can stall when homeowners wait for a call, an estimate, or a quote.
Recently generated leads may still be deciding. Compare cohorts that have had enough time to complete your sales cycle.
Distinguish quoted, sold, installed, and collected revenue.
A form submission outside your service area is different from a homeowner requesting a suitable installation.
Connect lead sources to sold installations and actual margins.
That is how you identify which campaigns deserve more investment.
There is no universal figure. In this model, $50 CPL and 20% lead-to-customer conversion produce $250 ad cost per customer and a 9:1 gross profit to ad spend ratio. Use your own job value, margin, and conversion to set a target.
It measures installation gross profit to ad spend.
Full LTGP:CAC compares customer lifetime gross profit with total customer acquisition cost. This simplified calculator includes neither future customer value nor other acquisition expenses.
Use the simplified model to evaluate ads, then assess full acquisition economics separately.
Here, 5:1 is an editable planning example. It means $5 in installation gross profit for every $1 in ad spend.
It is not an industry standard or a guarantee. Your appropriate target depends on overhead, cash flow, other acquisition costs, and growth goals.
At a $50 CPL, higher conversion lowers ad cost per customer.
Using the same $2,250 gross profit per installation:
10% conversion: $500 ad cost per customer; 4.5:1 ratio.
15% conversion: about $333 ad cost per customer; 6.75:1 ratio.
20% conversion: $250 ad cost per customer; 9:1 ratio.
No. It compares installation gross profit with ad spend.
Other acquisition costs, overhead, and tax still need to be paid. Revenue, gross profit, and net profit are different measures.
Only when the resulting customer economics improve.
At 2% conversion, a $15 lead costs $750 per customer in ads. At 20% conversion, a $50 lead costs $250 per customer. Assess lead quality, conversion, and gross profit together.
We’ll review your job value, margins, lead sources, follow-up, and conversion to identify where your marketing and sales process can improve.
Bring your current numbers. We’ll work through the economics together.