Case Studies
Selected work showing how I connect acquisition, analytics, CRM, customer economics, and revenue to improve marketing decisions and profitable growth.
Explore practical marketing analytics consulting projects covering growth audits, end-to-end revenue measurement, customer acquisition cost, lifetime value, retention, and payback optimization.
Selected client work
Start with verified acquisition and customer-economics outcomes, then see the revenue measurement and audit systems that made stronger decisions possible.
Case study 01 · U.S. Roofing Services
How a U.S. roofing services business connected paid acquisition, call tracking, CRM qualification, closed jobs, and revenue — improving lead quality while lowering cost per qualified lead and CAC.
−42%
Cost per qualified lead
−39%
Customer acquisition cost
14% → 35%
Qualified lead rate
Capabilities
Case study 02 · Mental Health & Therapy
How a multi-location mental health and therapy business connected acquisition, CRM, calls, retention and customer value — increasing LTV while shortening CAC payback.
+24%
Customer LTV
−17%
Customer acquisition cost
4.2 → 2.9 mo
CAC payback
Capabilities
Case study 03 · End-to-End Analytics
Connecting paid acquisition with signed jobs, completed projects, and revenue so marketing decisions could be based on commercial outcomes rather than lead volume alone.
Full funnel
Acquisition-to-revenue visibility
$833
Cost per signed job
$909
Cost per completed project
Capabilities
Case study 04 · Growth & Analytics Audit
A comprehensive growth analytics audit covering acquisition, measurement, CRM attribution, funnel economics, offline conversions, reporting architecture, and implementation priorities.
67-page
Strategic audit deliverable
17
Analysis areas reviewed
4
Implementation appendices
Capabilities
Capabilities
These projects show how stronger analytics can move a business from fragmented reporting to clearer acquisition, revenue, and customer-value decisions.
Connect acquisition activity with reliable source and conversion data.
Understand how leads progress into customers and commercial outcomes.
Evaluate acquisition through customer quality and long-term value.
Allocate investment using business outcomes rather than surface-level metrics.
Next step
Discuss how your acquisition, analytics, CRM, and customer economics can be connected into a more reliable decision-making system.