Seminar

In this seminar, we’ll show how breaking down silos between AdTech, Digital Analytics, and Cloud teams can drive real digital marketing maturity. You’ll learn how to turn raw GA data in BigQuery into predictive bidding and audience strategies, use machine learning to identify high-value users, and combine media buying and analytics data to improve traffic quality and reduce bot traffic.

What You'll Learn:

• ML Propensity Bidder: Understand how to build a predictive framework that transforms raw analytics data into custom bidding scripts for value-based activations.
• ML Conversion Boost: Learn to implement a segmentation framework that predicts user propensity to drive more efficient acquisition and cross-selling.
• Supply Path Optimization: Master best practices for campaign setup to combat bot and unintended traffic through whitelists, exchange analysis, and GA-integrated safeguards.
• Data Integration & Actionability: Learn how to merge disparate data sources from media tools and GA into centralized dashboards to facilitate continuous optimization.

Date: November 4, 2026

Time: 9:00 AM - 1:00 PM CET

Location: 19th floor, Atlantic-Haus, Zirkusweg 1, 20359 Hamburg

Speakers: Krisztian Forizs, Senior Consultant AdTech, TRKKN / Jonas Heppt, Head of Digital Analytics Alpine, TRKKN

Level: Intermediate / Advanced

Target Group: Digital Marketers, Performance Leads, Data Analysts, and Marketing Tech Leads

Pre-requisites: Foundational understanding of Google Marketing Platform and Google Cloud (BigQuery).

Language: English