How HEDSI and Tempo Pixel data map across the enrollment funnel
This view connects market-wide demand signals on the HEDSI side with institution-level website and conversion behavior on the Tempo Pixel side. Hover any stage to highlight how awareness, intent, application behavior, and enrollment relate across both datasets.
Left: owned campus behavior · Center: funnel stage · Right: market context
Learn more about the methodology →Tempo Pixel / Campus Behavior
Funnel Stage
HEDSI / External Signals
Tempo Pixel: early attention
Campus website visits and early content engagement show when students are discovering the institution and beginning to explore options.
Stage 1
Interest
HEDSI: market demand
Google Search Trends and the broader HEDSI signal indicate when top-of-funnel curiosity and higher-ed attention are strengthening in the market.
Tempo Pixel: evaluation
Requests for information, tuition page visits, and school-click behavior suggest that interest is becoming more deliberate and evaluative.
Stage 2
Intent
HEDSI: intent confirmation
FAFSA completion activity and FAFSA momentum provide a stronger signal that students are moving from passive interest into active planning behavior.
Tempo Pixel: admissions actions
Apply Now clicks, application portal visits, and tour registrations represent measurable admissions-oriented actions that connect marketing to pipeline creation.
Stage 3
Application
HEDSI: application evidence
Common App trends add a broader view of whether application behavior is rising, stable, or softening across the market.
Tempo Pixel: outcomes
Deposit, confirmation, and admitted-student next-step events help show which campaigns and channels are contributing to final matriculation behavior.
Stage 4
Enrollment
HEDSI: lagging validation
NSC and IPEDS provide lagging validation of realized enrollment outcomes, helping institutions compare their own conversion performance against broader sector conditions.
A bridge from market intelligence to marcom action
The left side shows what a university can directly observe and optimize on its own website. The right side shows the broader market and validation signals that explain whether those behaviors are happening within a stronger or weaker demand environment.
This is the foundation for demand-aware attribution
Once connected to campaign measurement, this framework helps a university explain not only what happened on its site, but whether it outperformed or underperformed the broader market at each stage of the enrollment funnel.