Secondary Market Ticketing - Sales & Listings

# Overview Data obtained from an online exchange for concerts, sports, and theater events. The underlying source provides a network to connect buyers and sellers, powering a large real-time ticket inventory. # Key Metrics - Tickets Sold: Number of tickets sold per event - Total Order Value: Final dollar value of each secondary market ticket order - Ticket Event Count: Count of distinct events # Granularity - Trends aggregated to the venue, team, or day. Data aggregated daily. # Product Highlights - Data is normalized and assessed for quality. - Provides secondary ticket insights on artists, sports teams, and venues. - Connection with Carbon Arc proprietary ontology and ability to easily join with other datasets, such as artist, sports team, and venue location data. # Coverage & Panel Panel size: Historical and Forward Looking Events: 180K+ (through 2027), Total Ticket Sales: $6B+ in ticket sales 2023-2025 - 10K+ artists, sports teams, and venues # Example Use Cases - Predict KPIs for tickers in the media, entertainment, and live event sectors. - Track secondary ticket pricing versus primary ticket pricing to evaluate health in concert and sporting event ticket demand. - Evaluate demand for artists by location to maximize revenue and customer engagement. # Additional Information - Bias: US Events (97% coverage within the US)

原始信息汇总

数据集名称

Secondary Market Ticketing - Sales & Listings

提供商

Carbon Arc

数据描述

数据来源于一个连接买家和卖家的在线票务交易所，涵盖演唱会、体育赛事和戏剧活动。该数据集提供二级市场的门票销售与挂牌信息。

关键指标

• Tickets Sold: 每场活动的门票销售数量
• Total Order Value: 每笔二级市场门票订单的最终美元价值
• Ticket Event Count: 不同活动的计数

粒度

数据按场馆、球队或天聚合，每日更新一次。

覆盖范围与面板规模

• 历史与未来活动: 超过18万场（时间跨度至2027年）
• 总票务销售额: 2023-2025年间票务销售额超过60亿美元
• 覆盖实体: 超过1万个艺术家、体育队伍和场馆
• 偏差说明: 美国事件占比97%

数据亮点

• 数据经过标准化和质量评估
• 提供关于艺术家、体育队伍和场馆的二级票务洞察
• 可与Carbon Arc自有本体论连接，并易于与其他数据集（如艺术家、体育队伍、场馆位置数据）进行关联

业务需求与用例

• 基本面分析: 预测媒体、娱乐和现场活动行业相关标的的关键绩效指标
• 定价分析: 追踪二级市场门票定价与一手门票定价的对比，评估演唱会及体育赛事门票需求健康度
• 需求预测: 按地理位置评估艺术家需求，以最大化收入和客户参与度

更新频率

每周更新

时间覆盖

按天提供

交付方式

安全共享

定价模式

需联系提供商（Talk to Us）

类别

• 商业
• 需求预测
• 基本面分析
• 市场营销
• 媒体
• 定价分析

法律条款

自定义

联系方式

• 销售/支持邮箱: [e-mail]

使用示例（SQL查询）

• 检查sales_data表：SELECT * FROM carbon_arc_iceberg.ca0036.sales_data LIMIT 100;
• 按品牌名称统计行数：SELECT ca_brand_name, COUNT(*) AS rows_count FROM carbon_arc_iceberg.ca0036.sales_data GROUP BY ca_brand_name ORDER BY rows_count DESC LIMIT 25;
• 检查listing_data表：SELECT * FROM carbon_arc_iceberg.ca0036.listing_data LIMIT 100;