Original research at the frontier of AI and marketing.
Our dedicated research division of 45+ researchers and data scientists produces the analysis that informs our client work and shapes the industry conversation.
Why a dedicated research lab?
Most consultancies rely on recycled vendor research and anecdotal client experience. We built a dedicated research division because we believe the only way to stay ahead of the AI curve is through proprietary, rigorous, peer-reviewed research produced by a team of 45+ researchers and data scientists.
How we work
Every research program follows a structured process: hypothesis formation, data collection, peer review, and public release. Our work has been cited in 200+ academic papers and referenced by leading industry analysts including Forrester, Gartner, and IDC.
The research programs that define our intellectual agenda.
Six domains where we advance the state of the art.
AI Marketing Maturity
24 publicationsAnnual benchmarking of AI adoption across industries, maturity frameworks, and transformation patterns.
Measurement & Attribution
18 publicationsUnified MMM-MTA models, privacy-first causal inference, and next-generation incrementality methods.
Generative AI & Creativity
12 publicationsGenAI model evaluation, brand safety frameworks, creative performance prediction.
Privacy, Ethics & Governance
15 publicationsResponsible AI frameworks, bias auditing methodologies, regulatory compliance for marketing AI.
Customer Intelligence
20 publicationsFederated learning, contextual modeling, privacy-preserving personalization at enterprise scale.
Marketing Technology Futures
9 publicationsEmerging technology evaluation, agentic AI architectures, next-generation martech patterns.
Led by practitioners, not just academics.
Our research leaders have published in top journals and built production AI systems at scale — bringing both rigor and relevance to every study.
Amara Osei
Head of AI Research
ML systems, NLP, marketing AI
Dr. Lena Hofer
Director, Measurement Science
Causal inference, econometrics
Raj Patel
Director, Privacy & Ethics
AI governance, regulatory compliance
Dr. Sarah Kim
Principal Researcher
Generative models, content AI
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