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How Much to Spend per Lead: Set a Budget by Close Rate

Translate project contribution into a transparent spending scenario with explicit uncertainty.

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The path from campaign investment to a useful inquiryCampaign & audienceRelevant visitUseful inquiryFollow up
  1. Campaign and audience
  2. Relevant visit
  3. Useful inquiry
  4. Follow up
The path from campaign investment to a useful inquiry

How much can you afford to pay for a lead? Work it out from what one customer leaves you after the job’s costs and how many qualified leads become customers. Trojan Digital Marketing, a marketing company based in Indianapolis that manages Google Ads for service businesses, runs this math with owners before setting a campaign budget. Revenue alone ignores the cost of doing the work, and a competitor’s lead price ignores your own sales process.

The lead cost calculator lets you explore spending, qualification, close rates and contribution using your inputs. All figures in this guide are hypothetical. They are not trade benchmarks, recommended budgets or predictions of campaign results. Use them to learn the math. Jeff Clerisier, our founder, can work through yours with you: the first strategy call is free, and during business hours we aim to reply within five minutes.

Define contribution before setting a threshold

For this worksheet, contribution before acquisition is the amount remaining from a customer after the delivery costs included in your selected method, before the acquisition spend being evaluated. Clearly list those costs. If you include allocated overhead as well, label that choice and use it consistently.

Subtract each expense in one place only. The double count we look for first is campaign management sitting in each job’s costs and again in the acquisition total. The job profit guide can help organize the project side of the calculation.

Multiply customer contribution by the relevant close rate

Suppose a completed project contributes $800 before acquisition, and 25% of qualified opportunities become customers under the chosen outcome definition. Multiplying $800 by 0.25 gives $200 of assumed contribution per qualified opportunity before acquisition.

This example assumes zero separate sales handling cost and no retained contribution allowance. In the calculator, a handling cost reduces the available acquisition amount, while a retained contribution percentage reserves part of contribution before that allowance is calculated.

At a cost of $200 per qualified lead, this simplified model uses the entire assumed contribution. That leaves no allowance for excluded expenses or a desired surplus. A mathematical threshold is not the same as a recommended bid, a safe operating budget or a promise that the assumed close rate will continue.

Inspect how the assumption changes the answer

Hypothetical qualified close rateContribution per customerAssumed contribution per qualified lead
10%
$800
$80
15%
$800
$120
25%
$800
$200
35%
$800
$280

Only the close rate changes here, yet the amount per qualified lead runs from $80 to $280, so we won’t plan around a borrowed rate. Without good records, we label the input a scenario and agree what evidence we need before spending more.

Translate a qualified lead assumption into a raw inquiry assumption

Keep the outcome definitions separateRelevant visitInquiryQualified leadBooked job
Relevant visit
A person reaches the page.
Inquiry
The person contacts the business.
Qualified lead
The inquiry meets the agreed rules.
Booked job
The customer chooses to proceed.
Keep the outcome definitions separateA visit is not an inquiry, and an inquiry is not a booked job. Widths are conceptual, not reported results.

If half of raw inquiries qualify and one quarter of qualified opportunities become customers, the assumed raw inquiry to customer rate is 12.5%. That is 0.50 multiplied by 0.25. At $800 contribution per customer, the assumed contribution per raw inquiry is $100 before acquisition.

Do not apply the qualified close rate directly to all raw inquiries. That would skip the qualification stage. The cost per lead comparison shows why the difference matters when evaluating channels that generate different mixes of requests.

Show an operating scenario in dollars

Consider 40 qualified opportunities at $70 each, for $2,800 of acquisition spending. At the hypothetical 25% close rate, the model produces ten customers. Ten multiplied by $800 gives $8,000 of contribution before acquisition. Subtracting $2,800 leaves $5,200 before any other excluded costs.

If the realized close rate were 10%, the same 40 opportunities would produce four customers in this arithmetic example. Contribution would be $3,200 and the remainder after acquisition would be $400. Actual customer counts are discrete and outcomes vary; a model’s fractional expected customer value should not be mistaken for an observed sale.

Add capacity and timing to the decision

A positive scenario does not prove the business can handle the resulting work. Review available appointments, estimating time, crew capacity and cash requirements. If a campaign generates requests the team cannot respond to or fulfill, the historical close rate may no longer describe the new situation.

Timing matters too. Garrison is the microsite software from Trojan Digital Marketing. Its water restoration sites drew 17 calls and form inquiries from 204 Indiana sites in July and August 2026, and eleven came during the August floods. A budget set in a flood month misleads you later. Marketing spend can occur before the customer decision and before payment. Keep the contribution model separate from the cash schedule. An invoice or accepted estimate is not proof that cash has arrived. Track the event your business actually needs to manage.

Use the model to frame a campaign test

Change one thing you can learn fromOne question · Consistent measurementABCurrent pageOne changeObserveCompareRecord context before interpreting a difference
A: current page
Observe the starting version.
B: one change
Compare with the same measurement.
Change one thing you can learn fromKeep the goal and measurement consistent, record the change and compare the result in context.

Before a test starts, we write down the offer, audience, spending limit and the evidence we’ll collect. Define qualification reasons, customer outcomes and a review point that fits the sales cycle. A test should teach you which assumption needs revision, not merely whether a dashboard displayed a favorable lead count.

The SBA’s business planning guidance explains the role of fixed costs, variable costs and contribution in broader planning. This worksheet applies a narrower acquisition scenario. It does not replace complete financial records or an assessment of the business’s obligations.

Connect the budget to the actual offer

If a project category has stronger contribution but weak inquiry volume, its service page may need clearer fit, evidence and next steps. If many inquiries are irrelevant, review the promise and targeting before simply paying more for traffic. Bring these assumptions to our Google Ads management or owned lead generation pages; we start from your numbers.

Use the campaign URL builder to organize approved campaign links, then keep source records connected to later business outcomes. You can join the newsletter for further workflows on measurement, offers and customer follow through.

Frequently asked questions

Is the calculated threshold the most I should spend per lead?

It is a simplified arithmetic boundary under your assumptions. It may exclude overhead, cash timing, risk and a desired surplus. A practical spending decision should consider those factors and the reliability of the underlying qualification and close rate data.

Should I use lifetime customer value?

Only if you have a defensible method and evidence for the future contribution included. Keep observed first project contribution separate from assumed repeat business. Do not multiply an unverified retention estimate into a budget and present the result as measured value.

What if different services have different project values?

Model them separately when the difference affects the decision. A blended average can hide a shift toward lower contribution work. Keep the service mix and count visible, and revisit the assumptions when the campaign starts attracting a different type of customer.

Sources & further reading

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