This week on The Data Stack Show, Eric and John welcome back Lewis Dawson from Momentum Consulting for the third part of this conversation on data attribution. In this episode, the group talks about the intricacies of machine learning (ML) and its business applications, particularly focusing on customer lifetime value (CLV) prediction. They discuss the challenges of implementing ML models, emphasizing the necessity of having the right data and team. The conversation highlights the importance of simplicity in modeling and understanding the limitations of data-driven approaches. They also explore the concept of diminishing returns in marketing channels and the potential of AI in optimizing advertising strategies, while acknowledging the complexities involved.

This week on The Data Stack Show, Eric and John welcome back Lewis Dawson from Momentum Consulting as the group delves into the complexities of data attribution. They discuss the limitations of traditional UTM parameters and the advantages of using hashing methodologies to enhance data quality and attribution accuracy in marketing campaigns. The conversation highlights the importance of stable identifiers, the integration of dynamic parameters from advertising platforms, and best practices for managing metadata in data systems. They also explore various attribution models, including first touch, last touch, and multi-touch, and discuss the challenges of identity resolution and maintaining data integrity across different platforms. Don’t miss this great conversation. 

This week on The Data Stack Show, Eric and John welcome Lewis Dawson from Momentum Consulting to discuss the complexities of marketing attribution. Lew shares his extensive background in data, from coding in the late 90s to working in data warehousing, martech, and cybersecurity. The conversation delves into the challenges of attribution, including data accuracy, integration, and the need for robust monitoring systems. Lew emphasizes the importance of creating unique join keys for campaigns, fostering collaboration across teams to improve data-driven decision-making, and more. Don’t miss this episode! 

This week on The Data Stack Show, Eric and John are joined by the Cynical Data Guy (Matt Kelliher-Gibson) as the group discusses the challenges and misconceptions in the data field. They explore the unrealistic expectations often held by data professionals, including data analysts, engineers, scientists, and leaders. Through personal anecdotes, they highlight the importance of domain knowledge and the evolving nature of data roles. The conversation also touches on the implications of using enterprise-grade BI tools in small companies, the necessity for data professionals to balance technical skills with business acumen, and so much more along the way.