Sports Fan Purchase-Based Insights - Data Append & Data Enrichment

Overview

Sports Innovation Lab offers the largest and strongest data assets for sports-focused transaction data with transaction data for over 240 million individuals (Total US, 18+ years old). Applying our proprietary data model, we use our transactional database to identify and track their sports fandom and brand affinity over time.

Sports Innovation Lab data is designed to fill the major gaps that exist in first party CDP and CRM systems today. A fan is much more complex than just a game they watch or a jersey they buy, and Sports Innovation Lab helps fill in the rest of the picture.

With Sports Innovation Lab’s deterministic, individual, scaled dataset, our clients gain a comprehensive understanding of who their consumers are – with a specific focus on their sports, media, and entertainment fandom.

Use cases

  • Enrichment: - Append Sports Innovation Lab data to external first-party data to enrich individual profiles

  • Expansion: - Individual ID expansion with brand or category flags

  • Purchase Propensity: - Provide purchase propensity scoring for up to 240 million individuals against client-identified brands or categories

Product details Sports Innovation Lab's Data Append & Data Enrichment offering provides raw data to clients' first-party data to drive insight on who their consumers are, where they spend, how much and how frequently they shop, and total basket size.

  • Fill the inherent gaps created with traditional CDP and CRM systems in knowing who your consumers are and what kind of sports fandom they express

  • Design addressable media and marketing campaigns that can be customized and personalized to drive conversion

  • Increase the value of your 1P data

Example Fields:

  • Individual ID

  • Demographics: Age, Education Level, Income, Donor Behavior, Household Composition - Number of Adults in HH, Household Composition - Number of Children in HH, Homeowner, Marital Status, etc.

  • Transaction Categories: Sporting Gear, Home Improvement, Auto, Travel, Restaurants, etc.

  • Transaction Hierarchy: Top brands within each category

  • Transaction Metrics: Spend, Frequency of Spend (Purchases), etc.

Data Assets:

  • Individual and Household Attributes:

    • 140M+ Individuals’ passively collected transactional data

    • 240M+ Additional individual's targeting attributed (name-based or pseudonymous)

    • 8.5B+ Online behaviors

    • 700M+ Individuals’ emails

    • 7000+ Sports & Entertainment proprietary IP identified Venues, Merchants, Brands

    • 80+ Custom Sports & Entertainment communities

Additional Insights All fields and metrics are customizable to suit client needs - product details above are only a sample of fields available for illustrative purposes.

***Data is for US consumers only***

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