Fan Intelligence Platform

One record for
every fan.

College athletic departments run on disconnected tools. Ticketing here. CRM there. Donations somewhere else. athvin unifies every touchpoint into a single authoritative fan record so your team always works from the same truth.

1unified fan record
data sources unified
Rustbare-metal performance
The Problem

Your fan data is everywhere. Except where you need it.

The average athletic department runs 6–12 disconnected systems. Every one keeps its own records. Nobody talks to each other. You're left piecing together each fan's story from memory and spreadsheets.

See Why athvin is Different →
Ticketing
Separate login
Different IDs
CRM
Separate login
Different IDs
Email
Separate login
Different IDs
Donations
Separate login
Different IDs
Engagement
Separate login
Different IDs

"We have the same donor in four different systems with four different names. We have no idea what their actual giving history looks like."

— Director of Ticket Sales, Power 5 University

"We sent a renewal offer to someone who just donated $10,000. They were not happy."

— Athletic Director, Mid-Major Program
How It Works

From every system, one source of truth.

athvin continuously ingests fan data from every system your athletic department runs, resolves it into a single authoritative identity, and pushes that unified record back to the CRM where your team works.

Data Quality · Included

Clean data is included — not a line item.

Most platforms make you buy a separate data-cleansing service — rules-based field validation and dedupe, often priced per record. athvin standardizes every record itself, then matches fans with probability and AI instead of brittle rules. There's no clean-data vendor to pay, and the close calls a rules engine drops still get caught.

Standardize everything

Every record is normalized the moment it lands — names, emails, phone numbers, dates, and locations conformed to one consistent format. Built in. No per-record fees.

Match by probability, not rules

A rules engine misses the same fan spelled two ways. athvin scores every pair probabilistically, so the near-misses brittle rules drop still merge.

Replay the close calls

Borderline pairs go to the Replay Booth, where an AI adjudicator reviews the evidence and recovers merges rules-based cleanup leaves on the table.

See How Matching Works →
New · AI-Assisted Matching

When the math is unsure, AI does the extra leg.

Statistical matching merges the obvious duplicates. For the borderline “gray zone” — the same fan whose records don't quite line up — an AI adjudicator reviews the evidence and recovers the merges your current tools miss.

See the Visualization →
Get Started

Ready to know your fans?

Connect your first system and watch fragmented, duplicated records resolve into unified fan profiles.

Request a DemoView Pricing