University Event and Admissions Analytics
How a university joined CRM records, form submissions, and survey data in Zoho Analytics into one reporting view for event tracking and duplicate contact detection.
Client details generalized to protect confidentiality.
Institutions collecting the same constituents through CRM, forms, and surveys, where each source reports separately.
The Challenge
Event attendance came through forms, feedback came through surveys, and constituent records lived in CRM. Each source reported on its own, so the question of whether event attendees later applied, or whether survey respondents were existing constituents, required exporting three datasets and joining them manually. The same person appeared across all three with slightly different details, so even the manual join produced approximate answers.
The Solution
Query Tables Joining Three Sources
CRM, form submissions, and survey responses join into query tables that can be reported on together.
- Query tables across the three sources
- Join keys defined and normalized
- Common date and event dimensions
- Source retained on every row
Event Tracking Across Sources
Event registration, attendance, and feedback report as one view of the same event.
- Registration to attendance conversion
- Feedback linked to attendance
- Event series comparison
- Attendee overlap between events
Duplicate Contact Detection
Likely duplicates surface across all three sources rather than only within CRM.
- Fuzzy matching across sources
- Duplicate candidate scoring
- Review list ordered by confidence
- Merge outcomes fed back
Constituent Journey Reporting
Whether attendees became applicants or donors becomes answerable rather than assumed.
- Journey view across touchpoints
- Event to application conversion
- Attribution by first touchpoint
- Cohort analysis by entry source
Apps in This Solution
Zoho CRM
Zoho Analytics
Zoho Forms
Under the Hood Technical detail
- Join Key Strategy
- Email is the primary join key with normalized name and institution as secondary, because email is the only field collected consistently across all three sources. Where email is absent the row still reports on its own source rather than being dropped from the dataset.
- Fuzzy Matching Placement
- Duplicate detection runs in Analytics rather than in CRM, since detecting across sources requires seeing all three. Detection produces a scored review list rather than performing merges, so identity decisions stay with a person.
- Source Retention
- Every row keeps its source, which allows a report to be read either as a unified view or per source. Losing source in the join is the mistake that makes a blended dataset impossible to audit.
- Conversion Reporting
- Event to application conversion was the reporting question that justified the build, and it only became answerable once the join existed. It also produced the finding that one event series converted materially better than the others.
- Notable Constraint
- Survey responses are sometimes anonymous by design. Anonymous responses are counted in feedback reporting but excluded from journey analysis rather than being force-matched, so the two report on deliberately different populations.
The Results
- CRM, form, and survey data report as one view rather than three exports.
- Duplicate candidates surface across sources with a scored review list.
- Event to application conversion is measurable per event series.
Three Data Sources, Three Reports?
We have built blended reporting and duplicate detection in Zoho Analytics for universities and nonprofits. Tell us which sources you join by hand.