Data Analytics for the Performing Arts
Nolichucky Associates helps nonprofit performing arts organizations make smarter decisions — from audience development and patron segmentation to fundraising targeting and event optimization.
What We Do
Performing arts organizations have more useful data than they realize. We connect it, apply machine learning and data science techniques to make sense of it, and put the results in the hands of the people who need them.
Most arts organizations have patron data scattered across ticketing systems, donor platforms, spreadsheets, and financial records that have never talked to each other. We connect them — whatever the source — into a single, accurate picture of each patron's full relationship with your organization.
Who are your regulars? Who came once and never returned? Who's slipping away? We analyze attendance patterns, patron behavior, and lifecycle stage across your full audience — building segments your team can actually use for outreach, programming, and planning.
The easiest donors to find are the ones already giving. The more valuable work is surfacing the ticket buyer who's never been asked, the lapsed donor worth reactivating, and the loyal patron ready to give significantly more. We build the models that find them all.
Which campaigns are working? Which events need a different geographic target? Which patrons are ready for a personalized ask? We measure what's happening, identify where to focus, and help you build targeted campaigns — by segment, region, genre, or engagement level — that reach the right people with the right message.
Which events are driving revenue? Which genres draw from outside your core market? Which venues are underperforming relative to their potential? We analyze event profitability, attendance patterns, and pricing across your full season — so programming and pricing decisions are grounded in evidence, not just instinct.
Most arts organizations set ticket prices by tradition and intuition. Drawing on years of dynamic pricing and loyalty program work in commercial industries, we bring a data-driven lens to pricing tiers, subscription value, and seat preference modeling — connecting pricing decisions directly to what your patron data actually shows.
Who We Are
Nolichucky Associates brings data science to nonprofit performing arts organizations. Founded by Anthony Smith, a retired analytics professional, the firm specializes in audience intelligence, patron segmentation, and fundraising targeting — turning ticketing and donor data into actionable strategy.
Current work includes a multi-year engagement with Music Worcester, one of New England's oldest classical music presenters, where Anthony has developed patron segmentation models, audience analytics pipelines, fundraising targeting tools, and event sales prediction systems.
Anthony's expertise spans audience segmentation, donor propensity modeling, demand forecasting, pricing optimization, and system integration — all delivered with a focus on practical, actionable insights that non-technical teams can actually use.
Earlier career experience spans retail, digital marketing, data security, factory automation, and robotics — including building high-performance analytics teams, leading Agile/Scrum development, and presenting complex analytical concepts to diverse audiences from front-line staff to executive leadership.
Work with usPortfolio of Work
The following engagements were conducted for several regional performing arts organizations — anonymized to respect client confidentiality. Each began with fragmented, underutilized data and ended with tools and insights the organization's staff could act on immediately.
Patron data was spread across several ticketing systems, a CRM, and donation records with no unified view. Marketing and programming decisions were largely made by institutional memory.
Unified 8+ years of ticketing history with CRM and donation records. Engineered 40+ patron attributes — recency, frequency, spend trajectory, genre preference, geography, and engagement signals. Built a lifecycle segmentation model assigning every patron to an actionable stage.
Every patron now carries a data story. Staff can filter and target with precision — by segment, preferred genre, region, or engagement trend — instead of relying on static lists or memory.
Staff maintained donor outreach lists by hand — workable, but fragile and difficult to measure. There was no systematic way to rank prospects or track what was working.
Built a six-tier donor classification system scoring every patron by giving likelihood, recency, upgrade potential, and giving-season timing. Integrated ticket purchase history with donation records to surface non-obvious prospects.
Created ranked call lists to replace hours of manual work. Campaign response rates can now be tracked by tier — making each cycle smarter than the last.
Geographic marketing was happening, but without data to show which types of events drew from which regions and why. It was hard to know where to focus or what was working.
Geocoded 8+ seasons of ticket purchases across 40+ events. Built custom geographic regions tuned to the organization's actual draw area. Mapped attendance by genre, artist tier, and price category across every season.
Revealed that different event types draw from very different geographic areas — some pulling from distant suburbs and beyond, others intensely local. Every event type now has a geographic marketing profile that informs where and how to spend.
Limited forward visibility on ticket sales. No retention baseline. Post-pandemic recovery was happening, but it was hard to project ahead with confidence.
Built repeat-aware attendance forecasting models accounting for patron history and behavioral segments. Analyzed new patron and year-over-year retention rates across event types, genres, and six seasons of history.
Established retention benchmarks that measured new and year-over-year patron return rates. Forecast vs. actual tracking created a feedback loop the organization can improve season over season.
Get in Touch
Whether you're looking to better understand your audience, improve fundraising results, or just want to explore what your data could reveal, we'd love to hear from you.