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Fan Intelligence powered by AIforce Turn fan insights into your next revenue opportunity

Q: What is Fan Intelligence?

Fan Intelligence is an EPAM accelerator for sports and entertainment organizations. It connects fan and account data, applies sports-specific revenue models and provides analysis, alerts and recommended actions to support retention and revenue growth.

Q: How does Fan Intelligence work with AIforce?

AIforce provides connectivity that allows AI assistants to access relevant enterprise data and processes. Fan Intelligence adds sports-specific data models, a unified fan profile, revenue intelligence and workflows for decisions such as renewal outreach, premium upgrades and sponsorship expansion.

Q: Which systems does it connect to?

The solution draws on Salesforce Data 360, ticketing systems such as Ticketmaster or SeatGeek, Salesforce Sales and Marketing Cloud, and data platforms such as Databricks or Snowflake. The required connections depend on the use case and existing environment.

Q: Do users have to ask a question to receive an insight?

No. Teams can ask questions in plain language or receive proactive alerts when defined thresholds are met. For example, an alert can flag a change in renewal risk or an upgrade opportunity and provide relevant analysis and a recommended next step.

Q: Who is it designed for?

Fan Intelligence supports sales, service, marketing and executive teams within sports and entertainment organizations. Venue operations teams can also use concourse intelligence where live foot-traffic data is available.

Q: Are the projected benefits proven results from this accelerator?

The figures shown are modeled projections informed by sports-industry work and comparable deployments. They illustrate potential opportunities rather than results already achieved by this accelerator. Expected impact should be assessed against the organization’s own data, processes and performance baseline.

Q: Does every use case require live venue data?

No. Live venue foot-traffic data is required for concourse and concession-placement capabilities. Renewal, sponsorship and other fan intelligence use cases depend on their relevant account, ticketing and engagement data.

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Solution Overview

Sports and entertainment organizations collect valuable data with every ticket purchase, campaign interaction and service request. Yet that information often remains spread across systems, making it difficult to see which relationships need attention and where revenue opportunities are emerging.

Customer Challenge

A season-ticket account may show signs of disengagement before renewal. A fan attending tonight’s game may be interested in a premium seat. An existing sponsor may have untapped expansion potential. Recognizing signals like these in time takes a connected view of the relationship — and a practical way to act on it.

For many organizations:

Renewal risk is difficult to prioritize. Teams must piece together purchase, engagement and service history to find the accounts most likely to lapse.

Sales and sponsorship research takes too much time. Finding opportunities and preparing account analysis can consume hours that could go to outreach and building relationships.

Business questions wait on reporting cycles. Leaders depend on analysts to connect information and explain changing performance.

Fan signals arrive without a clear next step. Teams may see a change in behavior without knowing what it means or how to respond.

The scale of the opportunity

20–30% season-ticket non-renewal
Industry benchmark cited in the supporting work, illustrating the potential scale of retention challenges before predictive intervention.

$1.7M+ in potential renewal revenue identified
Additional ticket revenue identified in a comparable predictive-renewal deployment.

14–22 hours per manual sponsorship analysis
Time spent on account research and analysis per proposal cycle in the supporting benchmarks

These figures are industry benchmarks and comparable deployment examples.

EPAM Solution

Connect the fan relationship to the next business decision.

EPAM Fan Intelligence brings fan and account data from ticketing, CRM, marketing and supported data platforms together in a unified Fan 360 profile. Revenue models then assess renewal risk, upgrade potential, sponsorship opportunities and fan lifetime value.

Teams use those insights in their daily work:

Sales teams receive ranked account priorities and recommended actions for renewal, upgrade and expansion outreach.
Service teams use fan health and engagement signals to identify relationships that may need attention.
Marketing teams identify fan segments to support relevant campaigns and offers.
Executives ask business questions in plain language and explore answers with supporting charts.
Venue operations teams use live foot-traffic data, where available, to assess concession placement and potential adjustments.

Teams can ask an AI assistant a question, check a dashboard or get an alert when a renewal, upgrade or venue signal crosses a defined threshold. Relevant analysis and recommended next steps help them move from identifying an issue to deciding what to do.

As an accelerator, Fan Intelligence combines EPAM’s sports data models, revenue intelligence frameworks and prebuilt workflows with connectivity through AIforce and Agentforce. It builds on the ticketing, Salesforce and data-platform investments organizations already have.

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Key Differentiators

Built around sports revenue decisions

Sports-specific data models and workflows address ticket renewals, premium seating, sponsorship and fan lifetime value

A connected view across systems

Identity resolution unifies fan records across ticketing, CRM and marketing, improving account decision-making for teams

Insights delivered when teams need them

Plain-language questions enable analysis. Alerts flag risks and opportunities, with charts guiding action.

Benefits

10–15 pp lower non-renewal risk in flagged fans

Identify at-risk accounts early and support targeted retention outreach.

5–10% increase in premium seating revenue

Identify audiences for real-time upgrades and act on gameday opportunities.

15–25% growth in sponsorship expansion pipeline

Identify sponsor account opportunities to support planning and expansion.

20–30% improvement in sales productivity

Reduce manual research so representatives can spend more time selling.

60–80% reduction in time to insight

Explore business questions faster with conversational analysis and charts.

8–12% reduction in fan churn

Detect disengagement early and enable timely fan retention outreach.

Features

Unified Fan 360 profiles combine ticketing, merchandise, hospitality, engagement and service data into one fan view.
Revenue intelligence models assess renewal risk, churn, upgrade potential, sponsorship opportunities and fan lifetime value.
Account prioritization ranks opportunities and recommends next steps for sales and service outreach.
Conversational analysis enables plain-language business queries through AIforce and Agentforce, supported by charts and recommended actions.
Proactive alerts notify teams when renewal, upgrade or concourse signals cross defined thresholds and provide dashboards for follow-up.
Fan segmentation identifies audience groups for targeted marketing and engagement.
Venue foot-traffic intelligence uses live heat maps to analyze venue movement and inform concession placement.

Additional Information

Tech Requirements

Questions & Answers

What is Fan Intelligence?

How does Fan Intelligence work with AIforce?

Which systems does it connect to?

Do users have to ask a question to receive an insight?

Who is it designed for?

Are the projected benefits proven results from this accelerator?

Does every use case require live venue data?

Tech Requirements

Core: Salesforce Data 360, Agentforce and AIforce.
Integrations: Ticketing, CRM, marketing and data platforms.
Data: Ticketing, account, engagement, service and sponsorship data.
Venue intelligence: Live foot-traffic data for concourse and concession planning.

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