An interactive venue-intelligence platform that scores and ranks global venues and markets to guide expansion strategy for a live-events ticketing company. Built for a case competition at USC Marshall.
Tixr Scout is a venue-intelligence platform that helps a live-events ticketing company decide which venues and markets to expand into. It scores and tiers venues worldwide, layers in real economic and market data, and surfaces ranked recommendations alongside a go-to-market plan.
Expanding into new venues and markets is high-stakes and data-heavy. A ticketing company needs to know not just where the venues are, but which ones are worth pursuing, how attractive each market is, and how to sequence entry. That decision is usually made on scattered data and gut feel.
An interactive dashboard that ranks venues by a composite priority score, sorts them into tiers, and maps them globally. It pulls real market data including GDP per capita, internet penetration, mobile subscriptions, and tourism from sources like the World Bank, Wikidata, and OpenStreetMap. It includes a top-markets recommendation engine, a Southeast Asia deep-dive, a competitive analysis of rival ticketing platforms, and a 30/60/90 day go-to-market execution plan.
I owned the data foundation and the scoring methodology behind the platform. I collected and structured venue and market data from public sources including the World Bank, Wikidata, and OpenStreetMap, then designed the composite scoring model that ranks venues by expansion priority. The rankings, tiers, and market prioritization that the rest of the platform surfaces all run on the scoring framework I built.
The platform output a ranked shortlist of priority venues and a tiered set of target markets, paired with a phased go-to-market plan for the top opportunities.
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