Cuong Pham Consulting | Growth Strategy, Analytics & AI

The real problem

It's not a data problem. It's a decision problem.

Most businesses aren't short on data. They're short on answers they trust. Sometimes it's too many sources: your ad platforms tell one story, your store or product data tells another, finance tells a third, and none of them agree.

Sometimes it's the opposite: a lean team running growth on ad platform dashboards, spreadsheets and instinct, because the analytics foundation isn't there yet.

Either way, decisions fall back on what's easy to see: last month's ROAS, a static budget, the loudest opinion in the room.

Growth gets easier when marketing, data and finance are looking at the same business.

I connect the numbers each team already trusts into one view, so the conversation moves from whose number is right to what to do next.

Three tools, three stories

Ad platforms sayX

Store data saysY

Finance saysZ

One view · what to do next

Sized to your stage

Big-company rigor, without the big-company overhead.

I've built this at global scale. Much of my consulting work is with brands that don't have that scale, or the team, and need the same clarity. The approach is the same. The size of the build fits you.

You're building the capability

I'm your analytics and AI lead, without the full-time hire.

No data team? No problem. I set up the tracking, build the dashboards, run the analysis and automate the busywork, so a team of one or five can make decisions like a team of fifty.

Tracking you can trust and one dashboard that answers your real questions
A regular read on what's working, what to cut and where to spend next
AI workflows that take reporting and repeat work off your plate

You're scaling the capability

I build the foundation alongside your people.

I work with your marketing, analytics and finance leads to design the measurement, data and AI foundation, then hand it to the people who will run it.

A measurement framework leadership and finance both trust
A data foundation your analysts can build on
AI your team can run, adjust and extend after hand-off

Sound familiar

The questions that stall every growth meeting.

If any of these take more than a day to answer, or end in a debate, the way your team makes decisions is the bottleneck.

These are answerable. The work is setting up a way to answer them every week, not once.

Services

Four disciplines. One system.

Most teams buy strategy, analytics, data and AI separately, then wonder why they never connect. I connect them from day one, whether you are a team of one or fifty, and you can begin with the piece that hurts most.

Select a discipline to see what's inside

Know where to grow, and how to get there.

A prioritized growth roadmap grounded in customer behavior and unit economics, not platform-reported performance.

Growth opportunity sizing
Funnel and conversion strategy
Lifecycle and retention
Pricing, packaging and offers
Segmentation and targeting
Growth forecasts and budget scenarios

How AI accelerates it: AI-assisted creative and copy testing

Example engagement: Growth opportunity assessment + prioritized roadmap

What you walk away with

A ranked list of growth opportunities, sized and sequenced
A clear view of where the funnel leaks and why
Budget scenarios your finance partner can pressure-test

Where the funnel leaks

Know what's working, why, and what to do next.

A trusted measurement framework that turns performance data into better decisions.

KPI and measurement frameworks
Customer journey and funnel analytics
Attribution, MMM and incrementality
Experimentation and causal measurement
Investment optimization and scenario planning
Executive scorecards and reporting

How AI accelerates it: automated reporting and experiment analysis

Example engagement: Measurement framework + executive scorecard

What you walk away with

One KPI framework with owners and definitions
A measurement plan that separates real lift from claimed credit
An executive scorecard that explains what changed and why

Diminishing returns · find the efficient point

Build the data foundation your marketing can trust.

Clean, connected data and tools your team can actually use.

Taxonomy and metric definitions
Data models, pipelines and dashboards
Warehouse and CDP data architecture, data governance
Stack evaluation and vendor selection
Tracking and privacy-safe measurement

How AI accelerates it: AI-ready data for self-serve answers

Example engagement: Marketing data foundation + tracking and taxonomy rebuild

What you walk away with

A single set of metric definitions and naming rules
Data models and pipelines your analysts can build on
Clean, privacy-safe tracking that holds up over time

Many sources · one set of definitions

Turn AI into a practical operating capability.

AI workflows that save time, improve decisions, and scale how your team works. I build AI into your operating model, not on top of it.

AI opportunity roadmap
Agentic workflows (Claude, MCP servers, N8N)
API integrations, routing and orchestration
Specialized agents with human-in-the-loop controls

How AI accelerates it: agents and workflows your team can own and extend

Example engagement: AI analytics copilot, or a multi-agent marketing operating system

What you walk away with

A short list of AI use cases ranked by value and effort
Working agents and workflows, not prototypes in a slide
Human-in-the-loop checkpoints where judgment matters

See how AI fits in practice ↓

One manager · five specialists

AI, in practice

Human judgment. Machine speed.

You don't need another AI subscription. You need AI wired into how your team already makes decisions, with a person signing off where it matters.

What AI handles

✓

Human
approval

What your team owns

Most teams use all three, one per workflow. The decision always stays with a person.

■ Day to day

Ask a question. Get a first read. Make the call.

I set up analytics copilots on Claude and custom MCP servers that work against your own data and your own metric definitions. The answer comes with its reasoning, so your team can check it before acting on it.

The copilot does the pulling and the first pass. Your team does the thinking.

ANALYTICS COPILOTCLAUDE + MCP · YOUR DATA

Illustrative exchange · no real data

■ Guardrails in every build

AI your team can trust, because you can see how it works.

Approval gatesNothing reaches a customer or a budget without a person signing off.

Clear data accessEach agent sees only the data its job requires.

One set of definitionsAgents use the same metric definitions your team does.

A trail and an ownerEvery action is logged, and someone on your team owns each workflow.

How I work

Clear steps, working tools, built to run without me.

Every engagement follows the same four steps, sized to the problem you bring. I don't just advise. I put the frameworks, dashboards and agents in place alongside you or your team.

Diagnose

Find where decisions break.

How decisions get made today, where the data fails, and which gaps cost the most.

You getDecision audit + prioritized opportunity map

I needWorking sessions + access to your existing data

Design

Agree on the blueprint.

The metrics, data flows, workflows and AI that answer your highest-value questions.

You getA blueprint signed off by the people who will use it

I needReview time with whoever makes the calls, from a founder to a full leadership team

Build

Put it to work.

Frameworks, data models, dashboards and AI workflows, built with your team, not thrown over a wall.

You getWorking tools, tested in real decisions

I needAn owner for each piece, even if that owner is you

Hand off

Make it yours.

Documentation, training and an operating rhythm you can run on your own, whether that's one person or a whole team.

You getTools and a rhythm you run with confidence

I needYou or your team taking the wheel while I'm still close by

Ways to work together

Focused project

Solve one problem.

A specific growth, measurement, data or AI question, scoped, answered and put to work.

Build engagement

Build the capability.

Design and put in place a new measurement, data or AI foundation, from first audit to hand-off.

Fractional leadership

Lead it until you're ready to hire.

Senior growth analytics and AI leadership, part-time, for teams that need the capability before they're ready to build it in-house.

What makes this different

One person who sets the strategy and builds the system.

For a lean team, that means one partner instead of separate strategy, analytics, data and AI hires just to get moving. For a larger organization, it means fewer hand-offs between people who each see one piece.

The decision comes first

I start with the call you need to make, then work back to the data. The same person shaping the strategy designs how it's measured, so nothing gets lost between the plan and the dashboard.

I build, not just advise

Frameworks, data models, dashboards and agents get built alongside your team, not described in a slide.

Adoption is the deliverable

The work only creates impact when your team uses it every week.

Senior attention, start to finish

You work with me directly, from the first conversation to the hand-off.

What I build

What the work actually looks like.

Sometimes the answer is a new data architecture. Often it's a KPI framework, a forecast, or one dashboard people finally trust. No complexity for complexity's sake: the goal is the simplest system that improves the decision.

These are examples of the work itself, shown with illustrative structure and data. They are not client results. Each one starts from a decision someone needs to make, then works back to the data.

▷ AI operating system · e-commerce client

I built this in N8N for an e-commerce client. Marketing, analytics, service and operations requests flow to a manager agent, and a routing framework sends each one to the specialist agent or model best suited to handle it, with a person approving anything that goes out. The same architecture runs marketing work like a weekly performance read, experiment readouts or campaign QA. Pick a request and watch it route.

ReadyPick a request above.

Illustrative requests · anonymous client · shows the design, not live data

Measurement

Measurement framework and KPI tree

One source of truth that connects your top-line goal to the metrics each team can actually move. Meetings shift from debating numbers to deciding what to do.

Leadership

Executive scorecard

A scorecard that tells leaders what changed, why it changed, and what to do about it. One view the whole leadership team trusts.

Example scorecard · illustrative data

LOS ANGELES · WORKS WITH TEAMS ANYWHERE

About

Strategy and analytics, built to be used.

I help growth teams make better decisions, faster.

That means connecting strategy, measurement, data and AI so the answers your team needs show up where the work happens. I start with the decision, not the dashboard, and I bring rigor without slowing execution.

I've spent 12+ years doing this work in-house, building teams and partnering closely with finance and data science. I built and led global marketing analytics at Warner Bros. Discovery, led lifecycle measurement and experimentation at Netflix, and drove subscription and DTC growth analytics at LegalZoom.

I stay hands-on with AI, building with Claude, custom MCP servers, N8N and API orchestration, so my view on AI comes from working systems, not vendor decks.

Connect on LinkedIn ↗

Is this a fit

Who this is for, and who it isn't.

A strong fit if

You're a consumer, tech or subscription brand, from founder-led to global
You don't have an analytics lead, or your team is stretched thin
You spend real money on growth and can't say with confidence what's working
Marketing and finance see different numbers and you want one view
You want to own what gets built, whether that's your team or just you
Your leadership or board wants an AI plan you can defend, tied to real work
You're open to an honest read, even when it's uncomfortable

Probably not a fit if

You need a media buying or campaign execution agency
You want a dashboard and nothing else to change
You're looking for someone to confirm a decision already made
You want quick hacks over a lasting operating model

If you're not sure, send a note. I'll tell you honestly whether I'm the right fit, and point you somewhere better if I'm not.

Scope a project

Have a growth problem worth solving? Let's figure out what's driving it.

Tell me what you're working on, and I'll come back with a few sharp questions and an honest view of whether I can help.

Know what's driving growth, and what to do next.

It's not a data problem. It's a decision problem.

Big-company rigor, without the big-company overhead.

I'm your analytics and AI lead, without the full-time hire.

I build the foundation alongside your people.

The questions that stall every growth meeting.

Four disciplines. One system.

Know where to grow, and how to get there.

Know what's working, why, and what to do next.

Build the data foundation your marketing can trust.

Turn AI into a practical operating capability.

Analytics shouldn't tell you what happened. It should tell you what to do.

Human judgment. Machine speed.

What AI handles

What your team owns

Ask a question. Get a first read. Make the call.

Clear steps, working tools, built to run without me.

Diagnose

Design

Build

Hand off

Solve one problem.

Build the capability.

Lead it until you're ready to hire.

One person who sets the strategy and builds the system.

The decision comes first

I build, not just advise

Adoption is the deliverable

Senior attention, start to finish

What the work actually looks like.

Measurement framework and KPI tree

Executive scorecard

Strategy and analytics, built to be used.

Who this is for, and who it isn't.

A strong fit if

Probably not a fit if

Have a growth problem worth solving? Let's figure out what's driving it.

Let's scope your project

Thanks, your note is in.