Fluid Fan Propensity Scores & Audiences

**Overview**<br/>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.

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**Product details**<br/>Sports Innovation Lab uses a modeling algorithm that grades US consumers as individuals. This model is built on deterministic purchase signals using advanced statistical and machine learning tools. A score indicates propensity of an individual to be a buyer over a predefined period, usually 12 months. The scores for all merchants can be used by customers to add purchase signals in their modeling process for creating audiences. The raw scores provide individual level propensity of shopping at a merchant or in a category. Propensity scores can be generated for custom Sports Innovation Lab-coded groups (teams, leagues, categories, etc.) or individual merchants, sample size permitting.

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Data is for US consumers only.

搜集汇总

背景与挑战

背景概述

该数据集基于美国2.4亿成年消费者的交易数据，利用专有模型和机器学习算法预测个人在体育领域的购买倾向。这些倾向评分可用于构建受众群体，支持定制化的团队、联盟或商户分析。