Strategic work, shown without breaking confidentiality.

Agency Growth

A connected approach to positioning, service productization, new business and commercial operating discipline.

Evidence boundary: These public materials demonstrate the method and point of view. They do not disclose client identities or imply audited client results.

• Advisory: Agency Growth Consultant
• Framework: Agency Growth Flywheel
• Insight: The agency model after automation
• Proof: Anonymized agency growth scenarios

International Expansion

A hypothesis-led approach to market selection, entry models, local partnerships and repeatable cross-market delivery.

Evidence boundary: The readiness framework supports a go or no-go decision; it is not a promise that every agency should expand or that every market will work.

• Advisory: International Expansion Advisor
• Original framework: Five tests of international readiness
• Market perspective: Europe does not have one retail media market
• Profile: Background and international scope

AI Recommendation & Discovery

A practical system for making expertise legible, useful and supportable when AI systems assemble recommendations.

Evidence boundary: No consultant can guarantee inclusion or ranking in an AI answer. The public framework focuses on legitimate discoverability, evidence and measurement.

• Original framework: Recommendation Optimization for agencies
• Advisory: AdTech & AI Consulting
• Related insight: AI agents are becoming the new storefront
• Operating principle: Evidence before claims

Retail Media, AdTech & Partnerships

A cross-functional perspective connecting platform capability, commercial propositions, partner motions and operating models.

Evidence boundary: Public content demonstrates strategic reasoning and does not reveal confidential platform, employer, partner or client information.

• Advisory: Retail Media Consulting
• Insight: Retail media is becoming commerce infrastructure
• Framework: Platform Partnership Flywheel
• Proof: Anonymized retail media and partnership engagements

Retail media operating model

A business had momentum in retail media but lacked a shared model for ownership, prioritization and performance accountability.

A clearer retail media growth agenda with stronger executive alignment and a more practical path from isolated activity to repeatable operating capability.

Real engagement, anonymized for confidentiality. Client names, proprietary information, commercial details and sensitive metrics are withheld.

Agency positioning shift

An agency needed to move beyond tactical execution and explain a more strategic role in commerce, retail media and AI-enabled marketing.

A stronger growth story that made the agency’s strategic value easier to understand, sell and operationalize.

Real engagement, anonymized for confidentiality. Client names, proprietary information, commercial details and sensitive metrics are withheld.

AI adoption roadmap

A leadership team wanted to use AI but needed to separate practical operating leverage from experimentation, vendor noise and internal hype.

A more disciplined AI agenda focused on decisions, workflows and measurable business adoption rather than tool volume.

Real engagement, anonymized for confidentiality. Client names, proprietary information, commercial details and sensitive metrics are withheld.

Partnership system design

A company saw partnership potential but lacked a repeatable way to assess, activate and manage partner value.

A more repeatable partnership system that turned relationship activity into a clearer growth and execution discipline.

Real engagement, anonymized for confidentiality. Client names, proprietary information, commercial details and sensitive metrics are withheld.