Systems I build

Turn disconnected marketing signals into revenue decisions.

I build growth intelligence systems that learn from buyers, customers, competitors, company knowledge, channel performance, editorial judgment and commercial outcomes.

01
Find what matters

Separate meaningful buyer, market and performance signals from reporting noise.

02
Act with control

Turn evidence into coordinated execution with the right human approvals.

03
Learn from revenue

Feed commercial outcomes and editorial judgment into the next decision.

Connected capabilities

One growth system. Six connected capabilities.

Each system can solve a focused problem. Together they connect market evidence to execution, qualified pipeline and revenue.

Buyer and market intelligence

Hear the language behind the decision

Mine authorized calls, communities, sales and customer communications, search behavior and audience research for questions, objections, triggers and unmet needs.

RedditGongSales + CSSparkToroSearch
Company and competition

Know what you say and when the market changes

Structure company content, products, positioning, proof and calls to action, then compare them with time-stamped competitive changes.

Knowledge graphVector searchWeb monitoringChange detection
Adaptive content operations

Create work that learns from editors

Combine deep research, approved company truth, buyer language, brand voice, audience need and intended action. Capture editor changes so the system improves instead of repeating mistakes.

Deep researchBrand voiceEditor learningEvidence checks
Acquisition and lifecycle

Coordinate execution across the journey

Use shared evidence across paid media, community, search, newsletters, podcasts, content, sales enablement, nurture, onboarding, expansion and retention.

Google AdsLinkedInReddit AdsEmailSponsorships
Revenue intelligence

Make revenue the governing outcome

Distinguish leads, qualified pipeline, forecasts, bookings, collections, expansion and retention. Label evidence as observed, associated, modeled, experimentally supported or causal.

CRMPipelineRevenueExperimentsAttribution
Executive decision layer

Move from reporting to an operating agenda

Show what changed, why it matters, what evidence supports it, what should happen next and who must approve consequential action.

PrioritiesConfidenceApprovalsDecision memory
Operating principles

AI creates leverage. Evidence and judgment create value.

Grounded

Recommendations retain sources, dates, definitions and contradictory evidence.

Approval-bound

Publishing, participation, budget movement and customer communication remain governed.

Revenue-accountable

Activity is diagnostic. Qualified pipeline and revenue determine what the system learns.

What would your growth team know if its systems could learn together?

Find the right starting point →