SEO + Content Writing + Paid Ads | Chicago, Illinois, USA

Controlled Seasonal Volatility. Built a Predictable Commercial Pipeline.

EverGreen Commercial Roofing

The Claim

In 9 months, we transformed a storm-driven, high-volatility acquisition model into a predictable inspection pipeline with stronger qualification, lower blended acquisition cost, and materially higher contract value.

This was not traffic growth. This was structural control.

Timeframe:

9 months

Case Type: Dependency reduction + pipeline creation
Offer: Commercial roof repair, replacements, maintenance contracts
Primary Goal: Increase qualified inspections while reducing exposure to seasonal CPC spikes

Performance Snapshot (Month 0 to Month 9)

Booked Inspections

0/mo

Up from 14 (+192%)

Qualified Inspection Rate

0%

Up from 46% (+39%)

Cost per Qualified Inspection

$0

Down from $410 (-37%)

Organic & Content-Influenced

0%

Up from 18% (+105%)

Close Rate on Qualified Opps

0%

Up from 18% (+22%)

Average Contract Value

$0

Up from $21,000 (+33%)

[Insert placeholder: A clean Google Analytics or CRM dashboard showing seasonal CPC costs dropping while qualified inspections rise steadily]

Context

Baseline Reality

The company was busy, but not in control. Underneath the activity, CPCs spiked aggressively during storms, and paid search pulled residential and low-value repair intent.

Tenants submitted forms instead of building owners
Sales quoted unqualified inspections
SEO existed but was shallow and non-commercial
Content explained services but did not pre-qualify buyers

The Insight

The Leverage Insight

Commercial roofing buyers do not choose based on persuasion. They choose based on risk reduction.

So the system had to: Filter aggressively at the capture stage, remove procurement friction before the inspection, and compound non-paid demand to reduce storm dependency.

Architecture

The Constraint

This was not a channel problem. It was a timing and qualification problem.

Execution Architecture

The Tri-Channel Synergy (Why 3 Services Were Required)

This was not a channel problem. It was a timing and qualification problem. If any layer was missing, volatility would remain.

Paid Ads

Urgent demand had to be captured immediately before competitors could steal the storm-driven spikes.

Content Writing

Trust and procurement friction had to be removed before the inspection so sales teams were not wasting time on tire-kickers.

SEO

Long-term demand capture had to be built to reduce seasonal cost exposure and stabilize the pipeline when storms passed.

The Intervention Framework: Integrated. Sequenced. Timed.

Phase 1: Intent Capture Architecture & Waste Reduction (Months 0 to 2)

Segmented campaigns by scenario: emergency leak, flat roof replacement, maintenance contracts, and insurance-driven inspections
Eliminated residential and low-value search leakage and split budgets by contract value potential
Replaced generic form-fill conversion with a structured inspection request
Added qualification gates: Building type, ownership confirmation, project size band, and timeline

Result: The qualified inspection rate improved before scale increased.

Phase 2: Decision Content That Filters and Reassures (Months 2 to 5)

We created pages buyers actually need to see before committing:

Commercial roof replacement cost ranges by size
TPO vs. EPDM comparison breakdown
Maintenance contract inclusions and exclusions
Insurance documentation checklist
What happens after an inspection request
Warranty and safety process transparency

Result: Reduced no-shows, increased decision-maker bookings, and improved the close rate.

Phase 3: Commercial SEO Demand Engine (Months 5 to 9)

Clustered around high-value buying language (e.g., flat roof replacement Chicago, commercial roof maintenance contract, industrial roof leak repair).

Interlinked informational content directly into the inspection path
Consolidated thin pages and added structured FAQ blocks
Tightened internal authority signals

Result: Organic-influenced inspections rose from 18% to 37%, stabilizing pipeline share.

(Note: Order mattered. Scaling SEO on weak pages would have just compounded low conversion).

Economics Translation

Based on client sales metrics (Month 9 close rate of 22% and $28,000 average contract value): Baseline Modeled Closed Value: ~$24,150 per month (14 inspections x 46% qualified x 18% close rate x $21,000). Month 9 Modeled Closed Value: ~$161,280 per month (41 inspections x 64% qualified x 22% close rate x $28,000). Modeled Monthly Revenue Increase: +$137,130 per month

Sales Pipeline Quality

22% Month 9 Close Rate

~$161k Month 9 Modeled Closed Value

Average Contract Value: $28,000

Modeled Impact

~$24k Baseline Modeled Closed Value

+$137k Modeled Monthly Revenue Increase

Efficiency Win: Predictable Pipeline

(Note: This represents modeled pipeline translation, not guaranteed revenue).

Control System

Tracked weekly:

Cost per booked inspection and cost per qualified inspection Search term waste ratio Qualification by campaign segment Organic entries into commercial intent pages Show rate and response time

Next 90 Days

Expand SEO into adjacent industrial zones
Launch competitor capture after qualified rate stability
Push maintenance contracts pre-storm season
Improve bid package clarity to lift close rate

If your inspection volume spikes during storms but your costs spike harder, you do not have a traffic issue.

You have a control issue.

We rebuild the structure so demand stays predictable even when markets fluctuate. Book a discovery call today.