march - MIT Sloan Sports Analytics Conference
Transcription
march - MIT Sloan Sports Analytics Conference
SPORTS BUSINESS ANALYTICS & TICKETING CASE STUDIES FROM THE PROS MARCH 2013 CONSUMER DATA Ticketmaster’s unique live event transaction database + 3rd party data source RESOURCES Industry experts, research and statistics teams + database engineers and strategy consultants INTEGRATION Seamless, accessible data and analytics through existing CRM or Ticketmaster systems © 2013 Ticketmaster LLC 2 GLOBAL MONTHLY UNIQUE ONLINE VISITORS EVENTS TICKETED ECOMMERCE SITE ON THE WEB SPORTS TICKETS PROCESSED GLOBAL CUSTOMER DATABASE RECORDS © 2013 Ticketmaster LLC 3 SPORTS TICKETS GO UNSOLD UNCAPTURED REVENUE Note: From TM Data analysis ‘Summary of Distressed Inventory’ © 2013 Ticketmaster LLC 4 IN SECONDARY TICKET SALES IN US PER YEAR OF SECONDARY SALES FOR SPORTING EVENTS Source: Forrester Research © 2013 Ticketmaster LLC 5 © 2013 Ticketmaster LLC 6 MLB case study Network analysis and visualization tools to identify broker ‘rings’ – allowing client to consolidate and more efficiently manage accounts, offer more accurate incentives and combat scalping © 2013 Ticketmaster LLC 7 NFL case study Using attendance, secondary prices, fan demographics to understand relative value of sections, price/value disparities, and scaling opportunities 1.Establish relative value of section using secondary resale price. 2.Estimate the primary market value (i.e., building algorithm to convert secondary resale price into primary market price). 3.Compare primary market price with estimated market value for pricing disparities. Club Middle Lower End Zone © 2013 Ticketmaster LLC Upper Front Upper Rear 8 NBA case study Evaluate Fan Database to determine acts/artists for which fans have greatest affinity to assist in booking and marketing decisions Spurs Season Plan Buyers 100 Bruce Springsteen and The E Street Band Dave Matthews Band Pearl Jam Muse 75 Jimmy Buffett Drake Ticket Sales Score Kings Of Leon Depeche Mode Rihanna Tim McGraw Bob Seger Elton John 50 Usher Victoria Justice The Black Keys Big Time Rush Mumford & Sons Romeo Santos 25 Luke Bryan Brantley Gilbert Sigur Ros Tom Petty & The Heartbreakers Bruno Mars Black Sabbath The Killers Band 0 0% 25% 50% 75% Percentage of Customers with High Affinity to Artist 100% Season Plan Buyers Single Buyers All Venue Buyers Other Venue Events Buyers © 2013 Ticketmaster LLC 9 KENNY FARRELL SENIOR DIRECTOR BUSINESS STRATEGY AND OPERATIONS MARCH 2013 ► Need to Create Effective Tools for Analysis ► ► ► ► ► Solution works within framework for all organizational systems Large amounts of data across various sources ► ► Determine what data is relevant Access data in usable format Platform to bring it all together Ticketmaster, CRM, Concessions, Fan Loyalty Lack of integration of many disparate systems ► ► Too many Excel spreadsheets Slow cross-departmental collaboration © 2013 Ticketmaster LLC 11 ► Comprehensive Ticket Sales Strategy ► ► ► ► Meaning in Data ► ► ► Ticket Buyer Life Cycle Utilize Consumer Prospect Model Lead Management Strategy Define raw data Focus on immediate and long term usefulness Utilize technology platforms to maximize efficiency ► ► Data Warehouse & Business Intelligence (BI) Existing CRM structure © 2013 Ticketmaster LLC 12 Exec Office Analytic Tools Gameday (retail) Corporate Partnership Finance Marketing Ticketing © 2013 Ticketmaster LLC 13 ► Business Development (BI) Cube & Excel ► Employee Dashboards & Intranet ► External Tools for Customization ► CRM & The Ticket Sales Process © 2013 Ticketmaster LLC 14 ► Integrate Data Warehouse & CRM ► ► ► Integrate Additional Systems ► ► MLBAM; Loaded Tickets; Fan Loyalty Utilize Analysts ► ► Create Customer Life Cycle Focus on Meaning & Utility Analysts hired to manage processes Integrate Live Analytics & CRM ► ► ► Utilize TM’s Live Analytics Prospect Model Demographics and Predictive Purchases Creation of Outbound Lead strategy © 2013 Ticketmaster LLC 15 Spend per Event on Ticketmaster.com © 2013 Ticketmaster LLC 16 ► CRM remains primary consumer based tool ► Improved understanding of our market and opportunities for growth ► Direct links between LiveAnalytics & Strategy ► Foundation for Ticket Sales Marketing Strategy ► Creation of a 12 month plan for outbound ticket sales and lead management ► © 2013 Ticketmaster LLC 17 ANTHONY PEREZ VICE PRESIDENT OF BUSINESS STRATEGY MARCH 2013 ► How we use Live Analytics tools ► ► Case Study: Single Game Yield Management How we use Live Analytics data ► Case Study: Prospect Targeting © 2013 Ticketmaster LLC 19 How will the team’s personnel changes impact ticket sales? © 2013 Ticketmaster LLC 20 ► 22 Price levels (excluding premium) ► ► 7 Variable pricing tiers ► ► ► Manifest scaling using regression / secondary market data Estimate demand using regression / secondary market data Variably price season tickets Dynamic pricing utilized throughout season © 2013 Ticketmaster LLC 21 © 2013 Ticketmaster LLC 22 -6.3% Season: W-L Record: Wtd Avg Tier: 2010-11 2012-13 34 - 21 15 – 38 5.3 5.4 © 2013 Ticketmaster LLC 23 -3.3% Season: W-L Record: Wtd Avg Tier: 2010-11 2012-13 34 - 21 15 - 38 4.4 4.5 © 2013 Ticketmaster LLC 24 How can we better target the right prospects with the right products? © 2013 Ticketmaster LLC 25 30+ Acxiom demographic, psychographic, and lifestyle attribute variables were tested in the models: Age Gender Education Marital Status Occupation Child Present in HH Working Woman in HH PersonicX Group Life style Interests Sports Interests Income Discretionary Income Index Distance to Venue 25+ Host transactional behavior variables were tested in the models: Major Category Purchases RFM Score Host Client Transaction History Transaction Purchase Timing Frequency/Monetary Grade Recency of Host Transaction Transaction Ticket Price/Type TM Live Event Segment Payment Method Each variable was examined for its strength of relationship with the outcome variable, as well as consistency and trending patterns. 2013 Ticketmaster LLC © 2012 26 Overall Full Plan Partial Plan Single Game Male 69% 81% 68% 54% Age: 25 - 34 23% 16% 22% 32% Age: 55 - 64 17% 23% 20% 9% Age: 65+ 9% 14% 6% 4% Education: Graduate School 21% 26% 21% 15% Married 65% 68% 66% 62% Working Women 42% 43% 41% 40% Children Present 42% 35% 40% 52% 88 96 93 78 $93,640 $102,906 $94,444 $81,782 Income: $125K+ 20% 25% 20% 14% PersonicX Cluster: Established Elite 6% 9% 4% 3% PersonicX Cluster: Corporate Clout 5% 6% 9% 3% PersonicX Cluster: Jumbo Families 6% 5% 5% 8% PersonicX Group: Mature Wealth 11% 15% 13% 6% PersonicX Group: Golden Years 11% 14% 12% 6% AMEX 30% 34% 31% 22% Purchase Timing: Presale 26% 32% 21% 16% RFM Score 396 427 419 350 RFM: 600 - 1000 15% 20% 19% 8% Discretionary Income Index Household Income 2013 Ticketmaster LLC © 2012 27 Full / Partial Seasons Club Seats Upgrades Family Day Packages © 2013 Ticketmaster LLC KENNY FARRELL JOHN FORESE ANTHONY PEREZ …thank you! © 2013 Ticketmaster LLC 29