PredictHQ's Intelligent Event Data | Live TV Sports Viewership| California | March 2024

This sample covers forecast grade TV viewership data. 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. 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. Location: California Visibility Window: 1 month period (July 2023) Categories: Live TV Events Viewership Features Data Fields Included: - phq_viewership_sports_american_football_stats_count - phq_viewership_sports_american_football_stats_sum - phq_viewership_sports_american_football_stats_min - phq_viewership_sports_american_football_stats_avg - phq_viewership_sports_baseball_stats_count - phq_viewership_sports_baseball_stats_sum - phq_viewership_sports_baseball_stats_min - phq_viewership_sports_baseball_stats_max - phq_viewership_sports_baseball_stats_avg - phq_viewership_sports_basketball_stats_count - phq_viewership_sports_basketball_stats_sum - phq_viewership_sports_basketball_stats_min - phq_viewership_sports_basketball_stats_max - phq_viewership_sports_basketball_stats_avg - phq_viewership_sports_ice_hockey_stats_count - phq_viewership_sports_ice_hockey_stats_sum - phq_viewership_sports_ice_hockey_stats_min - phq_viewership_sports_ice_hockey_stats_max - phq_viewership_sports_ice_hockey_stats_avg - phq_viewership_sports_soccer_stats_count - phq_viewership_sports_soccer_stats_sum - phq_viewership_sports_soccer_stats_min - phq_viewership_sports_soccer_stats_max - phq_viewership_sports_soccer_stats_avg Data quality: 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. Learn more about PredictHQ's real-world event data by visiting our Developer and Data Science Documentation: https://docs.predicthq.com/ Or from our website: https://www.predicthq.com/features/live-tv-events Keywords: attended events, attendance, sports, festivals, expos, conferences, concerts, performing arts, community, polygon, consumer spending, predicted spend, location information, demand intelligence, financial data, venue location, accommodation, transportation, restaurant, demand intelligence, event intelligence, event categorisation, business insights, event tracking, historical event data, even impact analysis, event-driven decisions, predictive analytics,