This is a research study that asks: "When brands use AI to personalize ads and offers, what makes people in Greece say yes or no to it?" It looks at how much people trust AI marketing, how they feel about sharing their personal data, and how these feelings affect whether they accept AI-driven promotions.
Helps marketers and advertisers understand which factors (personalization benefits, trust, perceived risk, privacy concerns, identity issues) most influence consumers’ willingness to accept AI-based marketing, so they can design campaigns and data practices that people actually tolerate and respond to.
The defensibility is not in the technology itself but in the study’s empirical insights about Greek consumers—localized behavioral data that can shape differentiated marketing strategies in that market.
Classical-ML (Scikit/XGBoost)
Structured SQL
Medium (Integration logic)
Generalizability of findings beyond the studied population and time period, rather than technical scaling limits.
Early Majority
Focuses on consumer acceptance of AI-based personalization in a specific national context (Greece), combining constructs of personalization, trust, privacy, and identity, rather than describing or selling a concrete MarTech product.