AI Marketing Analytics & Anomaly Detection

It uses machine learning to continuously monitor campaign KPIs, automatically flagging statistical anomalies—like traffic fraud, attribution breaks, or metric drift—and benchmarking performance across channels.

Don't Trust Your Gut on Customer Value: What Neural Networks See That You Can't
AI Marketing Analytics & Anomaly Detection

Don't Trust Your Gut on Customer Value: What Neural Networks See That You Can't

🧠 Why Your Gut Fails at Customer Value — and How Neural Networks See What You MissBy Dr. Julie Jones, PhD in Artificial IntelligenceYou've probably sat in a boardroom or a sales meeting and said something like: "We ...

· Sep-02-2026
clv-modeling lifetime-value-prediction
The Underrated Math Trick That Makes Any AI LTV Prediction 3x More Reliable
AI Marketing Analytics & Anomaly Detection

The Underrated Math Trick That Makes Any AI LTV Prediction 3x More Reliable

📈 A Quiet Upgrade to Your AI's Revenue ForecastWhy Most LTV Models Overpromise and UnderdeliverMost product teams treat lifetime value (LTV) as a single number. They train a gradient-boosted model or a neural network,...

· Sep-02-2026
clv-modeling lifetime-value-prediction
The 'Churn-Proof' CLV Model: A Step-by-Step Guide Non-Techies Can Follow
AI Marketing Analytics & Anomaly Detection

The 'Churn-Proof' CLV Model: A Step-by-Step Guide Non-Techies Can Follow

🎯 Why Most "Customer Lifetime Value" Models Leak Money — And How a Churn-Aware Model Stops It 💧📊By Dr. Elise Moreau, PhD in Artificial IntelligenceIf you've ever built a CLV (customer lifetime value) model and...

· Sep-02-2026
clv-modeling lifetime-value-prediction