E145 OAP Presentation March 6, 2008 Group: E145 Stunnas

Discovery: An Emerging Trend MusicWebsites VideoDining and Nightlife

LiveLarge

A Clear Need “Forrester Research estimates urban 25- to 40-year-olds spend about $600 billion on lifestyle expenses, including events, ticketing and dining.” – Demo.com 100% of 50 randomly surveyed Stanford students reported they use the internet to locate event information The amount of information available online is growing at a staggering pace Graph from Solution: A smart and user-friendly events discovery engine Facts

Current Solutions

Competitors Event Social Networks Leverage group knowledge Event Social Networks Leverage group knowledge Personalized Recommenders Relevant recommendations based on profile and browsing history Personalized Recommenders Relevant recommendations based on profile and browsing history Ticket Vendors Vertical integration of discovery and purchase Ticket Vendors Vertical integration of discovery and purchase Ad-Hoc Event Boards Wide range of event coverage Ad-Hoc Event Boards Wide range of event coverage Vertical integration of discovery and purchase Relevant recommendations based on profile and browsing history Leverage group knowledge Wide range of event coverage Vertical integration of discovery and purchase Relevant recommendations based on profile and browsing history Leverage group knowledge Wide range of event coverage No integration across different sites Sparse event coverage Recommendations not available at point of maximal interest No integration across different sites Sparse event coverage Recommendations not available at point of maximal interest

Business Plan: Revenue Advertising Model Affiliate Model Brokerage Model Source: Ex: Ticketmaster, Stubhub 2007 Average: $0.50 per sales reference CPM and CPC hybrid Pricing: $20 CPM, $0.50 CPC CPM and CPC hybrid Pricing: $20 CPM, $0.50 CPC 3 Million Views per month 25% click through rate 10% clicked are partnered 0.5% purchase rate CPM revenue = 180,000/month CPC revenue = 37,500/month Ticket Partner revenue = 3,750/month $221,250 total per month $2,655,000 total per year

Partnerships Submissions from Offline Sources Online Scouring Preferences from Friends LiveLarge Discovery Engine

Rollout and Partnership Strategy Leverage existing events databases to build network Partner with social networks to improve discovery Partner with off-line resources Year 1Year 2Year 3

Major Risks Risk TypeExamples of Risk Mitigation Strategies Financial Customers unhappy about monetization model Create clear boundaries between sponsored content and content People Unable to attract appropriate managerial talent Create start-up atmosphere conducive to attracting talent Technology In-house online scouring tools may not be sophisticated enough to get appropriate content Partner with other online events aggregator Market Slow adoption of browser extension technology Create centralized website to augment extension

RisksDetails SeverityProbability Avoidance/ Mitigation Strategy Not enough content from discovery engine Developed events database may not be robust enough for users HighMedium Feature other site’s content links Pursue partners from offline sources, who may not have traction online Slow adoption of extensions Relatively few users using Firefox* Most popular browsers difficult to develop for High Partner with other extension developers to create a more compelling suite of apps Risk Mitigation *

Long Term Vision Mobile Applications Deep Platform Integration Global Expansion

Acknowledgements(in no particular order): Trae Vassallo Soujanya Bhumkar Chris Law Ethan Stock Tom Byers Randy Komisar Tom Kosnik The E145 class and staff