---
title: "Lead spend ignored close rate by source, $47k recovered"
description: "The cheapest leads converted worst; reallocating lifted booked revenue per dollar. Marketing & margin audit: $47k/yr in margin identified."
url: https://marginfix.ai/cases/lead-spend-ignored-close-rate-by-source/
lastmod: 2026-10-12
---

Lead spend ignored close rate by source.

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Services · Home

# Lead spend ignored close rate by source.

This marketing & margin audit surfaced **$47k in annual margin** in a Services business, evidenced, senior reviewed, and delivered in 5 days.

$3–8M annual revenue
Home
Focus: Lead routing

+27%

revenue/$ spent

+2.3×

close rate on spend

5 days

to findings

Booked revenue per $1 of lead spend

Before audit

$2.80

→

After fix

$3.56

## The business

A home services company judged all of its lead sources on a single metric, cost per lead, and steered budget toward whichever channels produced leads most cheaply. Because CPL was the number everyone watched and optimized, the cheapest sources looked like the obvious winners and quietly earned an ever larger share of the marketing budget over time.

## What triggered the audit

Booked revenue per marketing dollar was stubbornly stagnant even as lead costs fell, a contradiction that only resolves when cheap leads don’t convert into paying jobs. The audit joined lead source all the way through to booked revenue, rather than stopping at the cost of generating the lead, to see which sources actually produced work.

## What the audit found

Followed through to booked revenue, the ranking of channels flipped. The cheapest lead sources, the ones CPL had crowned as most efficient, had by far the worst close rates, so a large share of those leads never converted into a paid job at all. Meanwhile, sources that looked more expensive per lead converted far better and produced substantially more booked revenue for each dollar spent, yet they had been steadily underinvested precisely because their CPL looked worse. By optimizing the cheapest possible lead rather than the most productive one, the company had been quietly steering budget toward volume that didn’t book, leaving significant booked revenue unrealised on the channels that actually worked.

◉
How we produced this finding

To expose the lead routing finding, MarginFix matched services contracts, invoices and delivery records against each other until the exact gap was traced to the line driving it. The reconciled figure was verified against the client’s own records and approved by a named senior auditor.

Data sources: Contracts, invoices, billing records and delivery or fulfillment logs, reconciled against each other, so the exact gap behind lead routing is traced to the specific line driving it rather than estimated from the top down.

Key frameworks: Line by line ledger and contract reconciliation, unit economics and cost to serve analysis, framed by Forrester Total Economic Impact (TEI) for evidenced business value, cost and risk.

Human validation gate: Every reconciled figure is checked against your own records and signed off by a named senior auditor before it ships. Nothing is reported without a human tracing it to source.

Verified against

Time tracking / utilization
Lead source tracking
Project P&L
CRM pipeline
Invoiced revenue

The revenue/$ spent was measured like for like over a matched period, reconciled to the billed and delivered project P&L, and signed off by a named senior auditor before publication. Client identity redacted to protect their commercial position.

WORKING PAPER
████████
Home

Representative
Redacted

Lead source Revenue / $1 spent

Google LSA

$3.90

Referral

$3.60

Cheapest lead source

$2.80

revenue/$ spent
+27%

Durable, the improvement holds every year the fix stays in place, not a one off.

Working paper: booked revenue per $1 of lead spend traced line by line and reconciled to the billed and delivered project P&L over a matched period. Line items representative and redacted; the recovered figure is the reconciled audit finding.

## What we changed

✓

Reallocated spend by close rate and booked revenue per dollar rather than by cost per lead, so the budget now follows the sources that actually convert into paid jobs.

✓

Fed source level close data straight back into bidding and budgeting, closing the loop between marketing spend and the revenue it ultimately books.

✓

Retired cost per lead as the headline KPI in favor of revenue per dollar, aligning the metric the team optimizes with the outcome the business genuinely needs.

✓

Rebalanced budget toward the higher converting sources that had been starved despite quietly producing the most booked work.

## The result

The outcomes were measured for three months after a 90 day implementation period. Booked revenue per dollar rose 27% by buying leads that actually convert into jobs. Any services operator will recognize the trap: cheap leads made the dashboard look efficient while revenue flatlined, because CPL says nothing about who books. If you steer budget by cost per lead, your cheapest source may close worst and quietly starve the channels that pay. Only joining source to booked revenue reveals it, the closed loop most teams never build. A fixed fee audit assembles it in days and points your budget at booked work, not vanity volume.

From kickoff to signed off findings: 5 days.

This +27% revenue/$ spent gain is ≈$47k/yr at the client’s revenue scale.

![Portrait photograph of Leslie Martin](/assets/team/leslie-martin.jpg)

Reviewed & signed off by:

Leslie Martin

Senior Auditor · MarginFix · 10+ years of auditing experience

✓ Anonymized to protect the client · senior reviewed findings · Published December 27, 2024 · Last reviewed October 12, 2026

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[Prefer to talk it through first? Talk to an auditor →](/book/call/)

## More Services findings

[Intake was dropping a third of qualified calls, +$62k/yr](/cases/intake-was-dropping-a-third-of-qualified-calls/)
[Every location bought the same keywords against each other, −$39k/yr](/cases/every-location-bought-the-same-keywords-against-each-other/)
[Retainers were priced below delivery cost, +$54k/yr](/cases/retainers-were-priced-below-delivery-cost/)
[Fixed fee packages were scoped below the hours they consumed, +$52k/yr](/cases/fixed-fee-packages-were-scoped-below-the-hours-they-consumed/)
[Job board spend was spread evenly regardless of fill rate, +$39k/yr](/cases/job-board-spend-was-spread-evenly-regardless-of-fill-rate/)
[Travel and onboarding time was going unbilled, +$47k/yr](/cases/travel-and-onboarding-time-was-going-unbilled/)

[The benchmark: what audits recover across 74 cases →](/benchmark/)
 [All case studies](/case-studies/)
 [Model a Services budget in the wasted ad spend calculator →](/estimator/services/)
