Marketing Science

S-Curve vs C-Curve Response Models: When to Use Each

Exploring the mathematical foundations and practical applications of different response curves in marketing effectiveness measurement.

Analytics TeamApril 8, 20257 min read

Analytics Team

Analytics consultant specializing in marketing science, forecasting, and strategic data solutions. Passionate about bridging the gap between advanced analytics and business impact.

Marketing Science

Mixed Integer Programming for MMM Budget Optimization

Learn how Mixed Integer Programming (MIP) with discretized response curves solves marketing budget allocation problems using branch-and-bound methods.

Sep 95 min

Marketing Science

Part 3 | Hands-On Implementation: Building a Causal MMM from Scratch

A practical tutorial implementing causal marketing mix modeling with DoWhy, including code examples and a complete toy dataset

Aug 281 min

Marketing Science

Practical optimizer scenarios in MMM: A step-by-step guide

Walk through real-world MMM optimization scenarios using Mixed Integer Programming. See how to discretize response curves, formulate constraints, and solve practical reallocation problems with actual numbers.

Aug 2116 min

Analytics Team

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