Strategic Diagnostic
Independent assessment of the current state, commercial objective, material risks and key decisions.
Typical outputsExecutive findings, risk map, decision priorities and recommended next steps.
Strategic advisory services
Complex digital programs need more than implementation capacity.
CH Consulting helps enterprise leadership teams make and govern high-consequence decisions across MarTech, measurement, monetization and data infrastructure.
We work where commercial objectives, technology, data, privacy and organizational ownership intersect — and where the cost of getting the operating model wrong is larger than the cost of the technology itself.
Discuss a strategic priorityWhat makes the work different
Advisory anchored in enterprise trade-offs.
We do not start with a preferred vendor or a pre-built transformation package. The starting point is the business decision: what capability must exist, what value it should create, what evidence should govern investment and what operating model can sustain it.
That allows technology, measurement and governance decisions to be evaluated together rather than optimized locally by separate teams.
01
Architecture
MarTech & Data Architecture Advisory
Enterprise MarTech ecosystems often accumulate faster than ownership, governance and data design mature. We help leadership determine what the target state should be before committing to another platform decision.
Typical leadership questions
- Which platforms are genuinely strategic and which are duplicative?
- Where should customer identity, consent and activation logic live?
- Does a CDP, warehouse-led model or composable architecture fit the operating reality?
- Which capabilities should be owned internally versus by vendors or agencies?
Advisory scope
- Current-state ecosystem and data-flow assessment
- Target-state architecture and platform rationalization
- CDP / activation / identity architecture
- Vendor evaluation and RFP decision support
- Governance, ownership and operating-model design
Leadership outcome
Explore MarTech & Data Architecture Advisory
A defensible architecture roadmap linked to commercial priorities, ownership and measurable value — not a shopping list of platforms.
02
Capital allocation
Measurement, MMM & Incrementality Advisory
When platform attribution, analytics, experimentation and finance disagree, the answer is rarely to nominate a single source of truth. Different methods answer different questions. Leadership needs a measurement system that makes those distinctions explicit.
Typical leadership questions
- Are we ready for MMM, and will the decision value justify the investment?
- Which business questions belong to attribution, experiments or econometrics?
- How should test results influence budget allocation?
- How do we avoid optimizing media to signals that do not reflect incremental value?
Advisory scope
- Measurement architecture and evidence hierarchy
- MMM readiness, feasibility and operating-model design
- Incrementality and experimentation frameworks
- Attribution governance and KPI design
- Cross-channel budget-allocation decision frameworks
Leadership outcome
Explore Measurement, MMM & Incrementality Advisory
Decision-grade measurement that clarifies how evidence should influence capital allocation instead of creating another reporting layer.
03
Revenue infrastructure
Monetization & Retail Media Advisory
Retail media and publisher monetization are not simply ad-tech deployments. They are new commercial operating models that connect audience, inventory, demand, measurement, margin and governance.
Typical leadership questions
- Which inventory and data assets can support a credible revenue proposition?
- How should direct demand, programmatic demand and owned channels coexist?
- What must be measurable before advertiser demand is scaled?
- Where do margin leakage and operational complexity enter the model?
Advisory scope
- Commercial model and revenue architecture
- Retail media / publisher ad-tech ecosystem design
- Inventory, audience and demand-side operating model
- Measurement and advertiser-value framework
- Governance, margin and partner evaluation
Leadership outcome
Explore Monetization & Retail Media Advisory
A monetization model that can scale commercially without allowing technical complexity, weak measurement or channel conflict to erode the economics.
04
Governed data infrastructure
Privacy-First & AI-Ready Infrastructure Advisory
AI and automation amplify the quality of the data and governance foundations underneath them. Weak consent logic, unclear lineage and uncontrolled activation boundaries do not disappear when a new intelligence layer is introduced — they scale with it.
Typical leadership questions
- Can current data flows support the intended AI or activation use case?
- Where do consent, privacy and platform constraints alter the architecture?
- Which customer data should be available to models, vendors and activation systems?
- How should governance evolve without preventing useful experimentation?
Advisory scope
- Consent-aware customer-data architecture
- Data lineage and activation-boundary design
- Privacy-conscious measurement architecture
- AI use-case and infrastructure readiness
- Vendor, data-sharing and governance review
Leadership outcome
Explore Privacy-First & AI-Ready Infrastructure Advisory
Data infrastructure that can support automation and AI while maintaining explicit controls over how customer data is collected, interpreted and activated.
Cross-functional leadership layer
Executive Program Oversight
Some programs do not need another implementation team. They need an experienced independent layer that keeps the commercial case, architecture, measurement and governance aligned while multiple teams execute.
01
Decision governance
Clarify ownership, escalation paths and the decisions that require executive sponsorship.
02
Program challenge
Test assumptions, architecture choices and vendor recommendations against the target operating model.
03
Commercial control
Maintain visibility into value, dependencies, risk and whether scope remains connected to the original business case.
04
Cross-functional alignment
Keep product, marketing, data, technology, finance and compliance working from the same decision framework.
Engagement model
Structured around the decision, not the size of the consulting team.
Scope can range from a focused independent assessment to a transformation roadmap or ongoing executive oversight. The common denominator is senior involvement and a clear decision mandate.
Advisory Roadmap
Target-state architecture, measurement or monetization model translated into prioritized work and governance.
Typical outputsTarget state, business case, sequencing, ownership, vendor criteria and decision framework.
Executive Oversight
Ongoing senior advisory across implementation and organizational dependencies.
Typical outputsDecision forums, program challenge, executive reporting, risk escalation and course correction.
Start with the decision
Bring the problem before you bring the platform shortlist.
A useful first conversation is usually about the decision the organization is trying to make, why it has become difficult and which constraints cannot be ignored.
Discuss a strategic priority