Intelligent Event Data: Live TV Sports Viewership, California - Sample

Free sample dataset of forecast grade TV viewership data for a 1 month period for California. PredictHQ’s Live TV Events data includes the seven top US leagues: NFL, NBA, NHL, MLB, D1 NCAA Basketball, D1 NCAA Football, and MLS. The data also includes the top 100 sports games based on viewership that includes golf tournaments and boxing matches by county level. Filter by city or county to access relevant data rather than by broad designated market areas (DMAs) used by other providers.

Relevance: Customers can use televised sports viewership data to anticipate where demand for their products will be highest, and plan accordingly. Insight into high-viewership sports games combined with an understanding of how these events historically impact them unlocks the ability for these businesses to: 1) Better align inventory levels with local demand levels to process the influx of orders 2) Staff enough drivers to meet increased demand for deliveries and 3) Better mobilize drivers to ensure fast delivery times. For example, pizza deliveries may skyrocket during football games and having insight into the counties or locations that will be impacted by this demand most depending on the teams playing is key.

Category: Live TV events
Location: California
Duration: 1 month
Time: June 2023
Country coverage: US
API Update frequency: This data set has live coverage and the API updates minute to minute to ensure accuracy.
Visibility: 1 month historical

Fields include:
- Title
- Category
- Labels
- Description
- Start date and time
- End date and time
- Predicted end time
- Country
- Lat / Lon
- Venue Name
- Venue Address
- Rank (PHQ Rank, Local Rank)
- PHQ Attendance
- Event status
- Place Hierarchy
- Created/updated timestamps
- Predicted spend

Data quality statement:
PredictHQ's data quality is one of its key strengths:
1) We have developed a set of Quality Standards for Processing Demand Causal Factors (QSPD), which are used to define the criteria for high-quality event data. By following these standards, PredictHQ ensures that their data meets the highest levels of quality.
2) We use more than 450 data sources to collect event data, including public records, social media, and ticketing websites.
3) We have built thousands of machine learning models that standardize, verify, enrich, and rank every single event.
4) On average we process 28 million events and 422,000 entities every day
5) We track the quality of our data over time and make improvements as needed.

About PredictHQ:
PredictHQ is the world’s first and only company that provides the missing context for the biggest external factor that impacts businesses demand – events. PredictHQ’s intelligent data of verified global events enables businesses to forecast shifts in demand from events to be able to adjust their inventory, make changes to labor, dynamically price and operate more efficiently. Think conferences, sports games, college graduations, floods, and more. PredictHQ brings all events into one place, combines it with world-first tools and intelligence to allow organizations to better predict and respond to changing customer demand created by events in an easy, reliable, and scalable way. We meet customers exactly where they are, ensuring they can access our data the way that suits them best.

For additional information contact us at [e-mail]

搜集汇总

背景与挑战

背景概述

该数据集提供加州地区为期一个月的电视体育赛事收视预测样本，涵盖美国主要体育联赛及高收视赛事，支持县级粒度分析。企业可利用这些数据预测产品需求波动，优化运营策略，数据集通过多源采集和机器学习模型确保高质量。