Healthcare · Fintech · Retail · Telecom
Proof from a growth-stage healthcare marketplace and from large national fintech, retail, and telecom companies. Healthcare grew more than 60%. Fintech converted 40% of not-ready leads. Retail lifted mobile AOV 44%. Telecom grew revenue 10% with IoT product launches. I install that same operating model for $10M-$100M PE-backed and founder-led companies today.
Telecom
Platform friction, stalled IoT, and no shared commercial ownership
10% revenue lift
Fintech
Not-ready leads left the funnel with no product to hold them
40% lead conversion
Healthcare
Marketing, sales, and ops ran without a shared revenue view
More than 60% revenue growth
Retail
Mobile traffic converted poorly and carts leaked revenue
44% AOV increase
Healthcare, fintech, retail, and telecom. Click through for the full engagement.
Engagements
Open a case for the full story. Each one shows the stall, the operating change, and the number that moved.
Telecom
10% revenue lift
20% IoT market share gain
Nearly a decade of product leadership: 10% revenue lift, IoT launches for Connected Cars and Wearables, and digital platform rebuild
Problem
Platform friction, stalled IoT, and no shared commercial ownership
What changed
Rebuilt digital platforms, shipped IoT lines, and ran portfolio delivery
Result
Revenue and IoT share moved across key segments
Fintech
40% lead conversion
not-ready to active pipeline
Built a home-buying plan product that converted 40% of not-ready leads into active pipeline
Problem
Not-ready leads left the funnel with no product to hold them
What changed
Built a home-buying plan that kept those leads in pipeline
Result
Not-ready leads stayed active in pipeline
Healthcare
More than 60% revenue growth
measurable commercial system
Built a measurable revenue engine and delivered more than 60% growth
Problem
Marketing, sales, and ops ran without a shared revenue view
What changed
Built attribution and installed the weekly operating cadence
Result
Revenue grew with a number leadership could trust
Retail
44% AOV increase
mobile domain
44% mobile AOV increase and 9% cart conversion lift with omnichannel product work
Problem
Mobile traffic converted poorly and carts leaked revenue
What changed
Shipped omnichannel product and checkout fixes
Result
Mobile AOV and cart conversion moved
How I work
Diagnostic, cadence, then execution. Read How I Work, compare Engagement models, or see the Results roll-up.
Diagnostic
I audit the revenue engine and name the three biggest gaps, with owners.
Cadence
I install the weekly and monthly rhythm so KPIs have clear owners.
Execution
I run the meetings and stay until the numbers move.
Names and measurement
I do not publish client names without permission. You will see industry labels and anonymized company descriptions. The numbers and timelines are from real engagements. When attribution is messy, the full case study spells out how I measured it.
FAQ
Next step
I name the three biggest growth gaps I see. You leave with a clear next step, whether we work together or not.
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