Predictive Analytics

Matt discusses using predictive analytics to challenge default assumptions about seasonal performance. The analysis of previous summers revealed patterns that could predict future behaviour - from purchase timing windows to weather-related demand spikes. He even mentions plans to build systems tracking weather alongside sales data to create more sophisticated predictions, demonstrating how predictive analytics can transform 'inevitable' slumps into opportunities.

Discover how Sweet Analytics uses predictive modelling to forecast customer behaviour and revenue potential. Understand how AI-powered insights can automate decision-making and highlight important business trends before they impact your bottom line.

Discover how predictive analytics can forecast SEO outcomes before publication, creating GPS-like navigation for content and backlink strategies. Learn to predict ranking impacts and optimize resources through data-driven insights.

Explore how mathematical models and machine learning can predict 75-78% of sales outcomes using impression data rather than individual user tracking. Jeff explains ad stock concepts and delayed advertising impact that help forecast campaign effectiveness in privacy-first marketing environments.

Understand why feeding AI bad audience data produces unreliable predictions and how to build forecasting models based on actual conversion behaviour rather than platform engagement metrics.

While not explicitly about forecasting, Vlad discusses using owned data to predict and adapt to platform changes like Meta's Andromeda algorithm update. Businesses with comprehensive data collection can quickly understand what drives their specific results and adjust strategies proactively rather than reactively when platforms innovate their targeting or optimisation systems.