Strategy to execution for platform and growth businesses
I build revenue and operating systems that scale, with applied AI built into how teams decide, ship, and operate day to day.
- Clear wedge and priorities that unlock momentum
- Predictable growth mechanics and cleaner monetization
- Faster execution through cadence, KPIs and OKRs, workflow redesign, and roadmap discipline
Who I work with
I work with high-ownership founders and C-level leaders at businesses where growth depends on coordination across product, revenue, ops, finance, and analytics.
Monetization and performance platforms
Ads, performance marketing, partner-driven revenue, rev share and take-rate models.
Marketplaces and two-sided platforms
Liquidity, matching, trust, and supply-demand orchestration.
Subscription and commerce retention
Cohorts, churn, LTV, unit economics, often Shopify-centered.
SaaS with platform dynamics
Complex funnels, partner motions, multi-stakeholder workflows, scaling constraints.
I also support VCs and small-cap PE who want operator-level clarity on execution risk, what is working, what is broken, and what to fix next in portfolio companies, including follow-on evaluation support.
What changes after I help
Clarity
- A wedge that creates focus
- A bet stack with sequencing and tradeoffs
- A plan that holds up in exec meetings and board conversations
Management system
- KPIs that cover revenue, product adoption, customer outcomes, unit economics, quality, and throughput
- OKRs used only when they drive focus and decisions
- A weekly operating rhythm that survives leadership meetings
Execution velocity
- Clear owners, clean handoffs, explicit SLAs, escalation rules
- Fewer exceptions and higher quality consistency
- Automation-first workflows where applied AI improves throughput and QA
Unit economics
- COGS decomposition and cost-to-serve clarity
- Gross margin driver tree and practical levers
- Pricing and packaging tradeoffs grounded in data
Product delivery
- Roadmap tied to measurable drivers and constraints
- Specs and acceptance criteria that reduce ambiguity and rework
- Release cadence and post-release measurement that keeps teams honest
How I work
My operating model stays consistent. Level of involvement changes based on complexity and desired speed.
-
1
Baseline and diagnosis
Goals, constraints, data reality, root causes, and the short list of drivers that matter.
-
2
Strategy and wedge
Priorities, sequencing, tradeoffs, and a wedge and moat hypothesis with proof points.
-
3
System design
KPIs and OKRs, workflows, operating cadence, roadmap and decision gates.
-
4
Implementation
Pilots, adoption, change management, and iteration tied to measured results.
-
5
Institutionalization
Documentation, handoffs, and a system the team can run without heroics.
Core engagements
Four ways I typically engage. Each can be light, standard, or embedded.
Wedge and Strategy Sprint
Best for teams with traction and scattered priorities
- Competitive landscape and category map
- Segmentation and ICP definition
- Wedge and moat hypothesis with proof points
- Bet stack: priorities, sequencing, tradeoffs
- Product bet framing and roadmap direction
- KPI and OKR draft tied to the bet stack
- 90-day operating plan with owners and cadence
A strategy the team can execute weekly, with measurable bets and clear ownership.
Revenue and GTM Operating System
Best for scaling pipeline, partnerships, and monetization
- Funnel model and forecast driver tree
- Pricing, packaging, and deal archetypes where relevant
- Sales and partnership motion design with ownership and handoffs
- Revenue team analysis and optimization: coverage model, roles, enablement, rev ops instrumentation
- Roadmap-to-outcomes linkage: funnel, retention, margin, monetization
- KPI and OKR system tied to growth, product outcomes, customer outcomes, unit economics
- Weekly cadence: scorecards, reviews, accountability loop
Revenue becomes more predictable because mechanics and operating cadence match.
Operating Model and Change Execution
Best for reducing friction and increasing throughput
- Workflow and customer journey maps
- Role clarity, SLAs, escalation paths, exception handling
- Team analysis, re-org recommendations, and change management plan
- Product development operating model when needed
- Operating cadence and decision system
- KPI and OKR system so change sticks
- Implementation plan with adoption tracking
Throughput increases, exceptions drop, and execution becomes repeatable.
Capital Raising Readiness and Investor Process
Best for founders preparing to raise or run follow-on conversations
- Story and narrative grounded in strategy and evidence
- KPI pack that matches financial reality, including unit economics and cohort story where relevant
- Model and P&L clarity with driver-based assumptions
- Investor funnel process: stages, materials workflow, tracking discipline
- Diligence readiness: checklist, data room structure, Q&A prep
A raise process that runs on substance: clean story, clean metrics, and a plan that holds up under questions.
Additional workstreams
These commonly plug into any engagement.
- Customer, cohort, and retention engine - segmentation, churn bands, lifecycle levers, reactivation
- Shopify and subscription analytics - reporting system design, attribution, lifecycle instrumentation
- Revenue recognition and accrual definitions - source of truth metrics that match financial reality
- Unit economics, COGS, and gross margin - cost-to-serve, margin drivers, practical levers
- Product roadmap and development system - PRDs, specs, acceptance criteria, decision gates, release measurement
- Marketing, brand, and identity foundations - positioning, messaging hierarchy, launch narrative
- Applied AI in execution systems - automation, QA guardrails, and measurement loops
- Investor and portfolio support - health checks, follow-on evaluation, diligence support
Proof preview
Examples of what I deliver in practice.
Operating cadence and KPI system
A weekly management rhythm tied to drivers across growth, retention, margin, and delivery throughput.
Workflow redesign and quality consistency
Clear owners, clean handoffs, escalation rules, fewer exceptions, and higher reliability at scale.
Roadmap and specs that reduce thrash
Roadmap tied to measurable outcomes, specs and acceptance criteria, and post-release measurement.
Start with an introduction
If you are scaling a platform business and want to tighten execution, book a 30-minute introduction with YTPartners.