Seven Products.
One Source.
Pre-built anonymized datasets that buyers purchase and download. Each dataset is processed through pycanon (k=50) and includes a blockchain consent audit trail.
Attendance Intelligence
From $8KAttendance patterns, venue capacity utilization, repeat vs. new fan tracking, no-show analysis across all sports. Includes game-level granularity and season trends.
Fan Engagement Composite
From $10KSocial activity, challenge completion rates, poll participation, app engagement cadence by fan segment. Measures behavioral depth beyond attendance.
Spend Behavior
From $15KPurchase transactions by category (concession, merch), value distribution, basket size analysis, and correlation with attendance patterns and fan tier.
Demographics & Audience
From $18KAge, gender, zip code, income bracket, education — anonymized to k=50 via pycanon. Enriched with loyalty tier, sport preference, and season holder status.
Cross-Sport Fan Analysis
From $20KMulti-sport attendance patterns, sport overlap analysis, seasonal engagement shifts, and cross-sport revenue lift. Identifies fans who follow multiple programs.
Fan Lifecycle & Retention
From $22KFan tenure analysis, churn risk indicators, lifetime value modeling, conversion funnel from single-game attendee to season holder. Cohort-based retention curves.
Sponsorship Attribution
From $30KSponsor brand association, purchase lift correlation, activation reach by fan segment, ROI multiplier data. Connects sponsor spend to verified fan engagement.
From Fan Event to Dataset
Fan events are batched (500/cycle) from the identity graph into the TDM indexer every 5 minutes.
Python pipeline applies k-anonymity (k=50) via pycanon. No individual fan can be re-identified in the output.
A merkle tree snapshot of fan consent states is generated and anchored on-chain, proving consent at time of sale.
Dataset appears in the buyer portal catalog. Buyers explore via query builder, purchase, and download encrypted CSV.
What Buyers Receive
| Field | Description |
|---|---|
| loyalty_tier | Fan tier (Bronze through MVP) |
| attendance_bucket | Anonymized attendance frequency range |
| spend_bucket | Anonymized spend range per season |
| primary_sport | Most-attended sport |
| engagement_tier | Behavioral engagement classification |
| dna_bucket | Fan DNA score range |
| lifecycle_stage | New / Active / Loyal / At-Risk / Lapsed |
| zip_region | Generalized geographic region |
All fields are bucketed or generalized to maintain k=50 anonymity. No raw PII is ever included.
Ready to explore the dataset catalog?
Or reach us directly at eric.alderman@fantera.net