Scholarlink

<p>This study examines the predictive validity of implicit evaluative brand association measures in real market outcomes and the boundary conditions of their effectiveness. Drawing on dual-process theories, we focus on the Implicit Association Test (IAT) as a tool for capturing subconscious brand associations. The research questions ask whether IAT-based brand image scores can predict actual market share and how this relationship might vary with key product category characteristics, specifically, consumers’ consideration set size and purchase frequency. We conducted a large-scale survey of toothpaste brands measuring implicit brand associations via the IAT and linked these scores to each brand’s market share data. Hierarchical regression analysis showed that implicit brand image significantly predicts market share in the product category. Moreover, the IAT’s predictive validity was stronger when the consumer’s consideration set was small, consistent with intuitive decision-making playing a greater role under low choice complexity. However, the expected moderation by purchase frequency was not supported, frequent, habitual purchasing did not further amplify the IAT–share link. Overall, the findings demonstrate that implicit measures can enrich brand equity assessment by capturing hidden drivers of brand preference that translate into market performance, especially in low-complexity choice contexts.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

The predictive role of implicit brand equity measures across decision contexts

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月16日

查看全文
  • Kosmo Karantonis,
  • Oliver Schnittka,
  • Yonca Limon-Calisan,
  • Carolina Riedel

摘要

This study examines the predictive validity of implicit evaluative brand association measures in real market outcomes and the boundary conditions of their effectiveness. Drawing on dual-process theories, we focus on the Implicit Association Test (IAT) as a tool for capturing subconscious brand associations. The research questions ask whether IAT-based brand image scores can predict actual market share and how this relationship might vary with key product category characteristics, specifically, consumers’ consideration set size and purchase frequency. We conducted a large-scale survey of toothpaste brands measuring implicit brand associations via the IAT and linked these scores to each brand’s market share data. Hierarchical regression analysis showed that implicit brand image significantly predicts market share in the product category. Moreover, the IAT’s predictive validity was stronger when the consumer’s consideration set was small, consistent with intuitive decision-making playing a greater role under low choice complexity. However, the expected moderation by purchase frequency was not supported, frequent, habitual purchasing did not further amplify the IAT–share link. Overall, the findings demonstrate that implicit measures can enrich brand equity assessment by capturing hidden drivers of brand preference that translate into market performance, especially in low-complexity choice contexts.