It was great to sit down with Ryan Janssen, CEO of Zenlytic, to discuss the evolution of AI-powered business intelligence.
Ryan talks about Zenlytic, which allows users to easily interact with their data through an AI agent, providing a personal data analyst experience. He explains the challenges of working with imperfect data and the importance of directional accuracy, while highlighting the changing tolerances in marketing metrics over the years and the need for high-resolution data for effective decision-making. We also discuss the impact of earned media and the importance of using the right business intelligence solution based on the organization’s size and maturity.
Discussion points include:
- The early challenges of developing Zenlytic before the advent of advanced LLM technology.
- The changing tolerances in marketing over the years, especially with the decrease in margins for performance marketing.
- Examples of high-precision marketing activities like A/B testing and broad-strokes activities like market attribution.
- The changes in media buying over the years, from traditional negotiations to real-time auctions.
- The impact of media elasticity on marketing mix modeling and the need to understand where extra budget can be deployed.
- The value of having usable, clean data in one place and how it can lead to better decision-making.
- The challenges of measuring earned media and the importance of understanding its impact.
- The ripple effect of earned media on AI visibility and the resurgence of traditional PR and digital PR.
- The importance of having an end-to-end view of the customer journey for both CROs and CMOs.
- Why early-stage companies should start with simpler BI solutions like Google Analytics and gradually move to more complex systems as they grow.
