Resources
The latest thinking from Burt Intelligence. Explore case studies, research, product updates, and practical insights for publishers and retail media networks.
5 Analyses You Can Perform with Google Ad Manager Log Level Data
Discover five practical ways publishers can use Google Ad Manager log-level data to uncover deeper insights, optimize advertising operations, and improve revenue performance with Burt.
Why AI Needs Reconciled Revenue Data: Lessons for Publishers
AI can tolerate imperfect data in many domains, but publisher revenue is different. Learn why reconciled revenue data is the foundation for trustworthy AI, accurate reporting, and confident decision-making.
What Modern Ad Inventory Forecasting Should Deliver
In a conversation with Beeler.Tech, Burt explored what publishers should expect from modern ad inventory forecasting, including transparency, implementation, accuracy, and adapting to traffic volatility.
Data Lakes Won’t Make Publishers Data-Driven. Here’s What Will.
Centralizing publisher data is only the first step. Making it useful requires normalization across sources, accessible tools for business users, and data they can trust.
5 Financial Best Practices for Publishers
From managing discrepancies and forecasting inventory to improving reporting and automation, here are five ways publishers can strengthen their advertising revenue operations.
5 Ways Publishers Can Actually Use AI
From conversational access to advertising data and entity resolution to inventory forecasting, five ways publishers can put AI to practical use across their operations.