Personalisation has a bad reputation because most of it is not personal. It is a first name in a subject line and a product you already bought. This AI for Marketing course from Royale Business College teaches marketers how predictive models actually change customer acquisition and retention: segmenting on behaviour rather than demographics, predicting churn while it is still preventable, and scaling content without scaling noise. Across four lessons the focus stays on marketing that produces measurable commercial return.
- Segmenting audiences on predicted behaviour rather than demographic assumption
- Building churn models that identify at-risk customers early enough to act
- Using generative tools to scale content without diluting brand or trust
- Measuring incremental impact rather than mistaking correlation for performance
- From Demographics to Behavioural Prediction Why traditional segmentation underperforms and what predictive modelling changes.
- Churn, Lifetime Value and Retention Modelling Identifying at-risk customers early, and the economics of acting on it.
- Personalisation and Generative Content at Scale Scaling relevance without scaling noise, and where personalisation starts costing trust.
- Measuring What Actually Worked Incrementality, attribution honesty, and defending marketing spend with evidence.