Why 90% of Marketing Attribution is Wrong (And How to Fix It)
Most companies are making critical attribution mistakes that cost them millions. Here's what you need to know.
Technical insights, case studies, and industry analysis from data scientists who understand marketing.
Learn how to build predictive CLV models using machine learning to optimize customer acquisition and retention strategies.
This comprehensive guide covers:
Most companies are making critical attribution mistakes that cost them millions. Here's what you need to know.
A detailed breakdown of the machine learning approach that transformed our client's Facebook advertising performance.
Discover why last-click attribution is fundamentally flawed and how to implement proper multi-touch models.
Poor data quality costs companies an average of $3.1M annually. Here's how to identify and fix data issues.
How we built a custom attribution system that uncovered massive revenue opportunities for a B2B SaaS client.
Complete guide to implementing unsupervised learning for customer segmentation, including Python code examples.
Why most marketing teams are stuck in reactive mode and how predictive analytics can transform your results.
Step-by-step breakdown of how we built and deployed a churn prediction model that dramatically improved retention.
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