Nolichucky Associates

Data Analytics for the Performing Arts

Nolichucky Associates

tony@nolichuckyassociates.com
nolichuckyassociates.com
linkedin.com/in/anthonymsmith

Most performing arts organizations are sitting on years of untapped data — scattered across ticketing systems, donor databases, and CRM platforms that have never been connected. Nolichucky Associates turns that raw data into patron intelligence, fundraising targets, and audience insights your staff can act on immediately. We handle the full pipeline: gathering, integration, preparation, modeling, and delivery.

Case Study 01

From Scattered Data to Patron Intelligence

Patron Segmentation · Data Integration

Eight-plus years of ticketing history unified with CRM and donation records. Forty-plus patron attributes engineered. Full lifecycle segmentation model built from scratch — enabling precise targeting by segment, genre, region, and engagement trend.

Result: Every patron now carries a rich data profile — sortable and targetable by segment, genre, region, engagement trend, or giving potential.
Case Study 02

Who to Call This Week

Fundraising Targeting · Propensity Modeling

Six-tier donor classification system scoring every patron by giving likelihood, recency, upgrade potential, and timing. Manual outreach lists replaced with a weekly-ready ranked output. Non-obvious prospects surfaced from ticket purchase history.

Result: A ranked weekly call list replaced hours of manual work. Campaign response rates are now trackable by tier — making each cycle smarter than the last.
Case Study 03

Where Your Audience Is — and Isn't

Audience Geography · Event Analytics

Geocoded 8+ seasons across 40+ events. Custom geographic regions built for the organization's actual draw area. Regional attendance mapped by genre, headliner tier, and price category — revealing systematic patterns invisible before.

Result: Different event types draw from distinct geographies. Every program now has a targeted geographic marketing profile built from actual attendance data.
Case Study 04

Retention, Forecasting & the Patron Lifecycle

Retention Analysis · Attendance Forecasting

Repeat-aware forecasting models built across six seasons. New patron and year-over-year retention rates analyzed by event type and genre. Forecast vs. actual tracking established as a continuous improvement loop.

Result: Benchmarks established: 15% new patron return rate, 33% year-over-year. Forecast vs. actual tracking creates a feedback loop that improves with each season.

Services

  • Data integration & preparation
  • Patron lifecycle segmentation
  • Fundraising propensity scoring
  • Audience geography & mapping
  • Event sales forecasting
  • Retention & churn analysis
  • Marketing analytics
  • Campaign targeting & lists
  • Pricing optimization
  • Staff training & documentation
  • Pricing & loyalty strategy

Our Approach

Data
Gathering
Integrate
& Prep
Model
& Score
Actionable
Results

We start with whatever systems you already have — no new software required — and end with outputs your staff can use on day one.