How It Works

From fragmented to unified in five steps.

athvin plugs into your existing stack, resolves your fan identities, and gives every team a single source of truth — without disrupting how anyone works.

Start the ProcessExplore the Platform
01
Step 01

Connect Your Systems

athvin integrates with your existing ticketing, CRM, email, donation, and engagement platforms through secure API connections. No rip-and-replace. No data migrations required. Keep using the tools your team knows — athvin reads from all of them in the background.

Secure, read-only API connections — no data migration and no rip-and-replace required.

What happens in step 01
  • Ticketing (Paciolan, SeatGeek, AXS)
  • CRM (Salesforce, Dynamics)
  • Email (Mailchimp, Klaviyo)
  • Donations (Blackbaud, Touchnet)
  • Engagement platforms
02
Step 02

We Standardize Every Record

Before any matching happens, athvin cleans and conforms every record to one consistent format — names parsed and cased, emails normalized, phone numbers and dates standardized, junk and placeholder values dropped. So the resolution engine compares apples to apples. It's deterministic, built in, and there's no separate data-hygiene vendor to pay.

Deterministic, rule-based normalization — pure-Rust, no per-record cleansing fees.

What happens in step 02
  • Names parsed and cased consistently
  • Emails normalized + canonicalized
  • Phone numbers to one standard format
  • Dates to a single ISO format
  • Junk / placeholder values stripped to null
03
Step 03

We Resolve Every Fan

Our identity resolution engine finds the same person across all your systems — even when their name is spelled differently, they used different emails over the years, or they bought tickets under their spouse's account. Instead of brittle rules, it scores every pair probabilistically, so the close calls still merge. Every fan gets one authoritative athvin record that consolidates their entire history.

Probabilistic scoring recovers the near-miss pairs brittle rules drop — the same fan, matched across systems even when the data disagrees.

What happens in step 03
  • Email address matching (primary + secondary)
  • Probabilistic match scoring across every field
  • Address and phone number cross-reference
  • Purchase behavior pattern analysis
  • Manual override and correction tools
04
Step 04

Your Team Gets One View

Every department — sales, marketing, development — sees the complete fan picture. Ticket purchases, email opens, donation history, event attendance, and engagement score all in one place. The record refreshes on every pipeline run, so activity across your connected systems flows into one shared view.

Records refresh on every pipeline run, so every team works from the same up-to-date view.

What happens in step 04
  • Full fan timeline across all touchpoints
  • Engagement score updated on every refresh
  • Cross-department communication history
  • Predictive signals and propensity scores
  • One shared fan view across every team
05
Step 05

Act With Confidence

Build smarter segments, personalize outreach, coordinate campaigns across teams, and identify revenue opportunities — all from data you actually trust. No more guessing. No more spreadsheets. No more accidentally asking a major donor for a $25 renewal.

Build smarter segments and surface revenue opportunities from data your teams actually trust.

What happens in step 05
  • Segment builder with cross-system filters
  • Suppression rules for coordinated outreach
  • Export to any email, CRM, or ad platform
  • Revenue forecasting and opportunity scoring
  • Campaign attribution across all systems

How implementation works

We phase every rollout around your systems and your team — connecting, standardizing, resolving, reviewing, and activating in sequence.

Connect
System connections and API setup
Standardize & resolve
Data cleanup, historical import, and identity resolution
Review
Fan record review and team onboarding
Activate
First campaigns using unified data
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