By applying mathematical models to data, we can predict who’s most likely to enrol or accept an offer. In fact, propensity modelling provides you with a whole host of useful insights – from clear and targetable audience profiles, to high-yielding postcodes and competitor analysis. It means you can deliver more targeted activity, nuance your messaging and focus on realistic opportunities.   

We identify your key challenges and create a bespoke reporting dashboard that brings together multiple data sources to give you the insight that matters to you most. Automated data cleansing turns long manual processes to analyse data into quick, regular automated updates so you can focus on candidates rather than struggling with spreadsheets.

This deep insight into prospective students is crucial for tailoring effective recruitment strategies. 

Engagement increases with more accurately targeted messages (up to an 83% boost in click-through rates).  

Recruitment marketing budgets go further. Middlesex University cut cost-per-conversion by 40%. 

Identifying individuals and postcodes with a high propensity to enrol means much more precise targeting. 

Integrated with competitor analysis, propensity modelling can spot gaps and opportunities to differentiate.  

Understanding and engaging with prospective students better can position you as a forerunner and attract greater diversity.