The AI-Powered Ecosystem: Scaling Marketing Analytics

Categories

Marketing
Google Cloud
Artificial Intelligence

Want to scale marketing smarter, not bigger?

This webinar will show you how to scale marketing analytics in an AI-first ecosystem by reducing operational overload and turning analytics into a true growth enabler. As data stacks grow more complex, many organizations are trapped in maintenance mode – fixing discrepancies instead of driving business decisions.

We introduce Agentic Team Extension (ATE) – a new operational model where AI agents work alongside human teams as collaborative partners. Instead of replacing people, ATE extends their capacity across the digital ecosystem, improving reliability, speed, and confidence in data used by marketing, sales, and customer-facing teams.

The session focuses on practical, production-ready applications of AI that help organizations move from fragmented data to decision-ready insight – and regain time for strategy, optimization, and growth.

What we’ll cover during the webinar:

From maintenance mode to scalable analytics
How AI-first operating models reduce manual validation and operational friction
Agentic Team Extension architecture
How a Multi-Agent System supports implementation, measurement, activation, and consent governance
Specialized analytics agents in action
Practical examples across GTM, GA4, Google Ads, and consent validation
Conversational Analytics with BigQuery
Using natural language to query complex datasets and generate decision-ready insights
AI Share of Voice
Measuring brand visibility and sentiment across AI-driven search platforms like Gemini and Perplexity

This webinar is perfect for:

Growth, analytics, and AI transformation owners
leaders, managers, and team leads accountable for data-driven impact
Marketing, sales, customer service, and retail teams
using analytics to scale performance and customer experience
Analytics and MarTech specialists
building or operating GA4, GTM, BigQuery, and paid media ecosystems
Data analysts and insight practitioners
supporting business teams with reporting, analysis, and activation
Teams moving beyond maintenance mode
looking to apply AI in real, production-grade analytics workflows

Speakers:

Piotr Biniecki

Solutions Architect & Data Strategist

Piotr specializes in transforming complex, fragmented data landscapes into scalable enterprise ecosystems. With a background in Project Management and expert-level mastery of the Google Cloud ecosystem (Certified Professional Data Engineer), he bridges strategic business goals with robust technical implementation. Piotr has led end-to-end digital and analytics transformations for global organizations, focusing on scalability, reliability, and long-term value.

Marcin Pawlowski

Senior Analyst

Marcin helps organizations turn fragmented digital data into clear, decision-ready insights. He designs tracking foundations, structured data models, and reporting systems that explain why performance changes – not just what happened. His work connects analytics, automation, and contextual data to uncover real performance drivers and improvement opportunities. Marcin focuses on validated data, transparent logic, and measurable outcomes. He applies automation and AI where it delivers tangible value – improving data quality, accelerating insight generation, and supporting consistent, business-driven decision-making.

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