Google Ads snapshot
Clicks, platform conversions, calls and spend from one campaign over 14 days
Decision role
Diagnostic campaign activity; not full-account or customer-economics proof
Case study 01 · U.S. Roofing Services
How a U.S. Roofing Business Cut Cost per Qualified Lead by 42% and CAC by 39%
A U.S. roofing services case study: paid acquisition, CallRail, CRM outcomes, closed jobs, and contract value were connected in one decision system. Cost per qualified lead fell 42% and CAC fell 39% — even as raw CPL increased.
- Client
- Anonymized U.S. roofing services business
- Commercial problem
- High lead volume, weak qualified-lead visibility
- Measurement stack
- Paid media, CallRail, CRM, closed jobs, revenue
- Decision metric
- Cost per qualified lead and customer acquisition cost
- Engagement period
- 5 months
- Paid media budget
- Approximately $28,000 per month
Challenge
The Business Problem
The business was generating a steady flow of calls and form submissions, yet approximately 86% of recorded leads did not meet its qualification criteria. Platform CPL looked acceptable while the sales team absorbed the cost of irrelevant, low-intent, duplicate, and poor-fit inquiries.
Across the five-month engagement, the account operated with an approximately $28,000 monthly paid media budget — approximately $140K across the five-month period if monthly spend remained near the observed level. Investment was evaluated against CRM-qualified leads, closed roofing jobs, and contract value. Raw CPL rose from approximately $58 to $83, but the qualified lead rate increased from 14% to 35%. Cost per qualified lead consequently fell from $412 to $238, while CAC declined from $1,980 to $1,210. The result was a more commercially useful acquisition system — not simply a cheaper lead engine.
−42%
Cost per qualified lead
−39%
Customer acquisition cost
14% → 35%
Qualified lead rate
A qualified lead means an inquiry accepted under the client’s CRM qualification criteria. Selected figures are rounded for confidentiality.
Measurement gap
Why an Acceptable CPL Hid Weak Customer Economics
Advertising platforms recorded calls and form submissions, but could not distinguish a commercially relevant homeowner from a low-value or irrelevant inquiry. Every outcome therefore carried the same conversion weight.
Lead quality was invisible
- Campaigns were compared mainly by raw cost per lead.
- Cheap inquiries often failed to progress to a genuine roofing opportunity.
- Higher-CPL campaigns with stronger downstream value could appear inefficient.
CRM outcomes were disconnected
- Acquisition context was incomplete once a lead entered the sales process.
- Qualification, inspection, estimate, win/loss, and contract value were not consistently tied back to source.
- Reporting stopped where the most important commercial evidence began.
Phone calls were a blind spot
- Call volume was measurable, but call quality and downstream outcome were not.
- An irrelevant short call could be valued like a replacement inquiry.
- Marketing lacked a reliable path from inbound call to closed job.
- One campaign
- 14 days
- Google Ads
Single-campaign evidence · 14 days
A Campaign-Level Google Ads Snapshot
This selected Google Ads export documents one campaign — not the full advertising account. It verifies platform activity, while lead quality and customer economics were evaluated separately through downstream CRM outcomes.
Google Ads — Last 14 Days
One campaign · diagnostic evidence
- Impressions
- 6,341
- Platform conversions
- 57.29
- Campaign spend
- $933.24
- Clicks
- 317
- Cost / conversion
- $16.29
- Phone calls
- 51
Scope: one campaign, 14 days. Not full-account performance.
Methodology note
The source screenshot records 317 clicks, 57.29 platform-reported conversions, 51 phone calls, and $933.24 in campaign spend. It should not be reconciled to the approximately $28,000 monthly account budget. Google Ads conversions are diagnostic platform data; the five-month qualified-lead and CAC results use downstream CRM outcome definitions.
The Question the System Needed to Answer
The objective was not to generate the maximum number of roofing leads. It was to identify which acquisition investments created qualified opportunities that could become economically attractive customers.
Which campaigns, search patterns, audiences, and locations produce qualified roofing opportunities — and what do those customers cost to acquire?
Approach
The Strategic Shift
Measurement was repaired before media was scaled. The work consolidated eight tactical activities into four operating layers, each designed to improve the quality of the signal used for budget decisions.
- 01
Audit and define
Map the customer journey, identify attribution breaks, and standardize CRM stages from new lead through qualified, inspection, estimate, and won or lost.
- 02
Connect calls and CRM
Use CallRail and consistent source data to connect inbound calls and forms with qualification status, sales progression, closed jobs, and contract value.
- 03
Close the feedback loop
Move optimization from raw calls and forms toward qualified leads, closed jobs, and revenue-backed conversion signals.
- 04
Reallocate acquisition
Restructure campaigns by commercial intent and geography, reduce weak traffic, and build retargeting and audience signals from qualified and won outcomes.
The Revenue-Connected Measurement Flow
The new model followed each acquisition record beyond the initial conversion. Call tracking and CRM lifecycle data became the connective layer between media activity and the outcomes the business actually valued.
Source-to-revenue acquisition flow
- 0101Paid Acquisition
- 0202Call or Form
- 0303Qualified Lead
- 0404Inspection
- 0505Estimate
- 0606Closed Job
- 0707Revenue
Attribution and outcome layer
CallRail + CRM + conversion feedbackMarketing source, call context, CRM lifecycle, closed-job status, and contract value share one decision model.
- Source and campaign context persisted into CRM outcomes.
- Qualified leads and closed jobs became usable acquisition signals.
- Budget could be evaluated against cost per qualified lead, CAC, and job value.
The economics
Why a Higher CPL Produced Better Acquisition Economics
A top-of-funnel dashboard would have shown a 43% deterioration: raw CPL moved from approximately $58 to $83. The commercial view showed the opposite because a much larger share of inquiries became worth pursuing.
Raw cost per lead
Before: ~$58After: ~$83
43% higher raw CPL
Qualified lead rate
Before: 14%After: 35%
Increase of 21 percentage points
Cost per qualified lead
Before: $412After: $238
42% lower cost per qualified lead
| Metric | Before | After | Change |
|---|---|---|---|
| Raw cost per lead | ~$58 | ~$83 | +43% |
| Qualified lead rate | 14% | 35% | +21 percentage points |
| Cost per qualified lead | $412 | $238 | −42% |
Cost per qualified lead = advertising spend ÷ CRM-qualified leads
The company paid more for each raw inquiry, but substantially less for each inquiry the sales team considered commercially qualified.
How to read the evidence
- Qualified lead rate
- The share of recorded inquiries accepted under the client’s CRM qualification criteria.
- 21 percentage points
- The direct difference between 14% and 35% — not a 21% relative increase.
- Comparison basis
- Rounded recorded performance before and after implementation; client-specific and not a controlled experiment.
Commercial Impact
The strongest proof was the combination of better lead quality and lower customer acquisition cost. Secondary outcome metrics also indicated that the acquisition mix shifted toward more valuable roofing work.
14% → 35%
Qualified lead rate
Approximately 2.5× as many qualified opportunities per 100 recorded leads.
$412 → $238
Cost per qualified lead
A 42% reduction after measuring spend against qualified outcomes.
$1,980 → $1,210
Customer acquisition cost
A 39% reduction as investment shifted toward stronger downstream performance.
Chart
The Commercial Funnel Improved at Three Different Levels
The chart keeps lead quality, qualified-outcome cost, and customer acquisition cost separate. Each pair uses the same approved rounded pre/post figures shown elsewhere in the case.
BeforeAfter
Qualified lead rate
Increase of 21 percentage pointsBefore14%
After35%
Cost per qualified lead
42% lowerBefore$412
After$238
Customer acquisition cost
39% lowerBefore$1,980
After$1,210
Supporting commercial outcomes
+61%
Qualified inbound calls
+38%
Replacement and installation jobs
$8.9K → $10.4K
Average closed job value
Recorded pre/post performance across the five-month engagement. Figures are rounded and client-specific.
Methodology and limitations
The comparison summarizes the available recorded pre- and post-implementation data. It is not a controlled experiment and should not be interpreted as incremental lift, guaranteed results, or a universal performance benchmark.
Evidence model
Platform Activity Was Evidence — CRM Outcomes Were the Decision Layer
Each data source answered a different question. The case does not treat Google Ads conversions, qualified leads, closed jobs, and revenue as interchangeable outcomes.
CallRail
Attributed inbound-call source and call context
Decision role
Connects phone demand to acquisition before CRM qualification
CRM lifecycle
Qualification, inspection, estimate, won/lost and closed-job status
Decision role
Defines lead quality and the commercial outcome used for optimization
Contract value and revenue
Recorded job value connected to the acquired customer record
Decision role
Supports CAC, average closed-job value and revenue-informed allocation
Pre/post reporting
Rounded recorded outcomes across the implementation period
Decision role
Shows directional business movement; does not prove controlled incrementality
| Data source | Evidence used | Decision role |
|---|---|---|
| Google Ads snapshot | Clicks, platform conversions, calls and spend from one campaign over 14 days | Diagnostic campaign activity; not full-account or customer-economics proof |
| CallRail | Attributed inbound-call source and call context | Connects phone demand to acquisition before CRM qualification |
| CRM lifecycle | Qualification, inspection, estimate, won/lost and closed-job status | Defines lead quality and the commercial outcome used for optimization |
| Contract value and revenue | Recorded job value connected to the acquired customer record | Supports CAC, average closed-job value and revenue-informed allocation |
| Pre/post reporting | Rounded recorded outcomes across the implementation period | Shows directional business movement; does not prove controlled incrementality |
For roofing & home services teams
When This Revenue Attribution Model Is the Right Fit
This operating model is designed for businesses that already generate calls and forms, but cannot reliably tell which roofing leads become qualified opportunities, closed jobs, and profitable revenue.
Discuss Your Roofing Lead Measurement- 01
Lead volume looks healthy, sales quality does not
CRM qualification reveals whether paid search and other acquisition channels are creating genuine homeowner demand or simply inexpensive inquiries.
- 02
Calls are tracked, but revenue is not
CallRail and CRM lifecycle data connect each inbound call to qualification, inspection, estimate, closed-job status, and contract value.
- 03
Budget decisions stop at platform CPL
Offline conversion feedback shifts optimization toward cost per qualified lead, CAC, and the economics of completed roofing work.
What Changed in the Operating Model
No single audience or bidding adjustment produced the result. The improvement came from aligning paid media, call tracking, CRM, and analytics around the same definition of a valuable outcome.
Before — media optimized for
- Raw calls and form submissions
- Lowest reported CPL
- Platform conversion volume
- Incomplete source-to-CRM attribution
After — investment evaluated by
- CRM-qualified leads
- Cost per qualified lead and CAC
- Closed roofing jobs and contract value
- Revenue-connected acquisition signals
Next step
Are Your Campaigns Optimizing for Leads — or Customers?
Connect paid acquisition, call tracking, CRM outcomes, and revenue so budget decisions can follow qualified opportunities and customer economics.