In this episode of the AI Chronicles podcast, host Kyle James interviews Sarah Levenger, founder and CEO of Tether Insights, about the integration of AI in marketing research. Sarah shares her journey from a freelancer to leading a company that utilizes behavioral science and consumer psychology to enhance marketing strategies. The conversation explores how Tether Insights employs AI to analyze customer emotions, improve advertising effectiveness, and reduce customer acquisition costs. Sarah emphasizes the importance of understanding the psychological aspects of consumer behavior and how AI can help marketers make data-driven decisions. The episode concludes with insights into future AI initiatives in e-commerce and the evolving relationship between humans and AI in marketing.
Links:
Tether: tetherinsights.io
GPT Trainer: Automate anything with AI -> gpt-trainer.com
Key Moments:
- Tether Insights was born out of a need for better marketing strategies.
- Understanding consumer psychology is crucial for effective advertising.
- AI can significantly reduce the time needed for data analysis.
- Emotional insights from customer feedback can improve ad performance.
- AI helps in categorizing customer emotions for better targeting.
- Cost per acquisition can be reduced by using AI-driven insights.
- Marketers often have biases that AI can help correct.
- AI is evolving to analyze images and emotional responses.
- The relationship between humans and AI in marketing is still developing.
- Future AI initiatives will focus on enhancing data analysis and copywriting.
Chapters
- (00:00:00) - Introduction to AI in Marketing Research
- (00:01:33) - The Origin Story of Tether Insights
- (00:04:00) - The Role of Psychology in Marketing
- (00:06:13) - Implementing AI at Tether Insights
- (00:09:41) - Data Analysis and Emotional Insights
- (00:12:02) - AI's Impact on Customer Acquisition Costs
- (00:14:57) - Correcting Marketer Bias with AI
- (00:17:44) - Future AI Initiatives in E-commerce
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