Indicators: Unlocking The Power Of Consumer Data Auto Care ON AIR podcast

Indicators: Unlocking the Power of Consumer Data

1M ago 48:29

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Unlock the secrets of consumer behavior in the automotive aftermarket with insights from Nathan Shipley, Executive Director at Circana. Discover how Circana's comprehensive data collection helps retailers and manufacturers comprehend purchasing patterns across industries and the unique nuances that drive consumer behavior in the automotive sector.
Ever wondered how rising food prices and macroeconomic shifts influence your spending habits, especially when it comes to essential purchases like tires? Nathan provides a deep dive into how inflation, credit card debt, and declining savings rates are reshaping consumer priorities. Learn about the broader implications of these economic changes, from increased housing costs to the adaptations consumers are making in their shopping choices. This conversation shines a light on the real-world challenges consumers face and the strategies they're employing to navigate them.
Peek into the future of consumer behavior tracking and data analysis as Nathan discusses advancements in data collection methodologies and the transformative power of AI in the retail industry. He emphasizes the importance of having clear objectives when analyzing data and ensuring that the data is representative of the target audience. From the evolving landscape of e-commerce to the critical role of accurate data in making informed decisions, this episode is a treasure trove of insights for anyone interested in market intelligence and the ever-changing dynamics of consumer behavior in the automotive aftermarket.

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Rozdziały

1. Indicators: Unlocking the Power of Consumer Data (00:00:00)

2. Consumer Data Analysis in Auto Industry (00:00:08)

3. Consumer Behavior Analysis in Auto Sector (00:13:30)

4. Economic Impact on Consumer Spending (00:17:26)

5. Consumer Patterns and Data Analysis (00:25:07)

6. Challenges and Strategies in Data Analysis (00:33:31)

7. The Future of Data Analysis (00:42:51)

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