This post will focus on understanding the history of econometrics to explain the wider context of trends that have shaped the field.| Recast
Marketing Mix Modeling’s main goal is to find the incremental return of every marketing investment, but how can you validate your model?| Recast
Explore how Causal Directed Acyclic Graphs (DAGs) improve Marketing Mix Modeling by clarifying causation and preventing bias in analysis.| Recast
How do we judge our model’s ability to accurately predict what our customer’s performance will be? This turns out to be somewhat complicated.| Recast
Highlighting the importance of transparency & minimizing bias in Marketing Mix Models (MMM) with systematic and unbiased parameter selection.| Recast
At Recast I have the privilege and challenge of introducing advanced statistical concepts to people who have a strong desire to be more data driven, but who do not have much of a background in formal statistics. While word has gotten out that “statistical significance” isn’t all it’s cracked up … Why R-squared is worse than useless Read More »| Recast
At Recast we believe that in order for our customers to get value out of Recast, the model needs to be correct. Here's how we validate it.| Recast