Educational organizations face a challenge: Their administrators are attuned to viewing their performance in vertical slices of time – e.g., last year vs. this year, or prior month vs. this month. Yet the underlying drivers of performance are longitudinal in nature. For example,
- retention trends for a given program at present, are the sum total of how many prior cohorts have behaved, and
- understanding true return-on-investment of marketing spend in a certain time period inherently calls for how the cohort of leads from that period have behaved over time.
Research shows a cohort’s continued learning and outcome is measurably driven by institutional support.
For an informed picture of organizational planning and performance, it is essential to understand the longitudinal behavior of cohorts. For example,
- analysis of how a certain cohort of marketing leads converts into enrollments would greatly inform marketing strategies and marketing ROI, and
- analysis of retention patterns of cohorts in a degree program would highlight whether a retention issue is secular one or rooted in certain cohorts – leading to vastly different retention strategies and actions.
Visualizing cohort retention highlights how a recent cohort is performing relative to prior ones. Cohort Science algorithms analyze data, identify cohorts, and build cohort behavior profiles. Our products bring predictive, actionable insights to your screen in intuitive, interactive form.
