Advancing the evidence base for competency-based professional education in digital marketing.
aFactor conducts original research with a single objective: advancing the methodology of competency-based professional education. This is not thought leadership produced for marketing purposes. Each paper is reviewed internally, names its sources and says what would change its conclusion.
The two papers here ask what marketing capability means once AI runs the tools, and what India's 2047 skilling blueprint says about training that does not lead to jobs.
See the Competency Model →These are not rhetorical questions. They require data, rigorous methodology, and the intellectual honesty to follow evidence where it leads - including when it challenges prevailing practice.
The white paper's argument, that judgement matters more than tool operation, shapes how our programs are taught.
Each paper is reviewed internally before it is published. None has been through external peer review.
Why the discipline is turning back toward marketing - and what capability now means. For two decades, digital marketing was treated as a discipline apart from marketing. AI is dissolving the scarcity that created that separation: as machines plan, target, produce, optimise, and report, the value of operating the machine falls, and the value of deciding what the machine should do - for whom, and why - rises.
Everything currently released from the research program. Each paper states its sources, marks its weakest evidence, and sets out what would change its conclusion.
Why the discipline is turning back toward marketing, and what capability now means. As machines plan, target, produce, optimise and report, the value of operating the machine falls and the value of deciding what it should do - for whom, and why - rises.
NITI Aayog’s Reimagining Skilling for Viksit Bharat@2047, read in full. ₹34,000 crore allocated, 7.67 crore people skilled, and 8.25 per cent of graduates working in roles aligned to their qualification. Includes an honest account of where aFactor does not match the report.
Each domain addresses a distinct methodological question; together, they form a comprehensive research agenda for competency-based professional education.
Developing and validating instruments that measure professional competence rather than knowledge recall. The question: can scenario-based tasks tell surface familiarity apart from real capability?
Defining and operationalising the concept of role readiness - the point at which a professional possesses the integrated competencies required to perform effectively in a specific position.
Investigating how digital marketing should be taught as a professional discipline rather than a collection of tool-specific skills. Curriculum architecture, learning design patterns, and instructional approaches.
Quantifying the structural disconnect between what educational institutions produce and what the digital marketing profession requires.
Every paper is reviewed internally, cites its sources, marks its weakest evidence and states what would change its conclusion. Every paper published under the aFactor name adheres to established empirical methods, transparent data reporting, and a commitment to intellectual honesty that prioritises accuracy over narrative convenience.
Read Publications →Where a paper uses data, it comes from published, named sources. Conclusions follow from evidence, not first principles.
All aFactor research is reviewed internally before publication. None of it has been externally peer-reviewed yet.
Research that informs professional education methodology should be accessible to the people it affects. Published papers are made available without charge. The purpose is to advance the discipline, not to gatekeep it.
Where research draws on assessment, survey, or outcome data, the methodology, sample, and analytical approach are reported in full. Reproducibility is the foundation of credibility.
Read our white paper on marketing capability in the AI era, or see the Competency Model.
Read the latest paper →