MatrixPoint Launches Marketing AI Accelerator to Help Teams Move From Ideas to Impact
MatrixPoint Consulting has introduced the Marketing AI Accelerator - a focused program built to help marketing leaders cut through the noise and prioritize AI initiatives that actually move numbers.
Instead of starting with vague maturity audits, the Accelerator begins with a curated library of proven marketing AI use cases. Teams pick what matters, then work backward to assess readiness and build a plan.
Why this matters for marketing leaders
Pressure to "show progress on AI" is real. Budgets, bandwidth, and data constraints are too. The gap isn't hype - it's execution.
"Many of the brand leaders we work with are under pressure to demonstrate their progress on AI, but face competing priorities and unclear paths forward," said Eran Goren, Managing Principal at MatrixPoint Consulting. "The Marketing AI Accelerator provides senior leaders with a clear framework for determining how AI can be applied quickly and effectively across their business."
How the Marketing AI Accelerator works
The approach is straightforward and practical. Engage teams with what's already working in the market, validate fit, then plan implementation with eyes wide open.
- Phase 1: Discovery & Prioritization Workshop - Identify high-impact use cases aligned to revenue, CAC, LTV, and efficiency goals.
- Phase 2: Return & Readiness Measurement - Quantify potential value and assess data, tooling, people, and process readiness.
- Phase 3: Implementation Roadmap - Build a realistic plan for the top opportunities, including quick wins and pilot design.
Use-case-first beats assessment-first
"Most organizations spend months on readiness assessments without validating whether their AI initiatives will actually solve business problems," said Steve King, Principal at MatrixPoint Consulting. "We reverse that. We start with a library of proven use cases that have delivered real results, then quickly identify the ones that are right for your organization."
The result: faster validation, prioritized bets, fewer dead-end projects, and clearer stakeholder alignment.
What marketers can expect in 30-60 days
- A ranked backlog of AI use cases tied to specific KPIs.
- Estimated return and effort for each initiative, with clear tradeoffs.
- Defined pilots (scope, data needs, success metrics, owners).
- Governance and privacy considerations addressed early - a core MatrixPoint strength.
- An execution roadmap your team and partners can follow without guesswork.
Where to learn more
MatrixPoint has published a white paper - The Use Case Advantage: How Leading CMOs Prioritize Marketing AI Initiatives - outlining a practical framework for selecting and sequencing AI work.
Explore the Marketing AI Accelerator here: thematrixpoint.com/marketing-ai-accelerator-general
For broader context on what's delivering value with AI, this independent overview is helpful: McKinsey: The State of AI.
Practical next steps for your team
- List your top 3 marketing bottlenecks (e.g., lead quality, creative throughput, churn prediction).
- Map each to a known AI use case (e.g., predictive scoring, content generation at scale, propensity modeling).
- Audit the basics: data availability, governance, integration points, and owners.
- Pick 1-2 pilots with clear success metrics and a 6-8 week window.
- Socialize early with finance, legal, and IT to reduce stall-outs later.
Skill up your team
If you're building internal capability alongside vendor support, these resources can help:
About MatrixPoint Consulting
MatrixPoint is a marketing transformation consultancy that empowers businesses to achieve more. With expertise across media, strategy, technology, and data privacy, the team identifies high-value opportunities for optimization and efficiency. The consultancy provides bespoke solutions that help organizations pivot confidently, uncover new approaches, and realize the full potential of their data and resources.
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