Stack
The stack behind trusted customer intelligence
Across Adobe Experience Cloud, Google marketing tools, customer data systems, analytics engineering, and governance, the objective is the same: make data reliable, useful, and ready for activation.
Adobe Experience Cloud
- Adobe Analytics
- Adobe Tags / Launch
- Adobe Web SDK
- Adobe Experience Platform
- Customer Journey Analytics
- Real-Time CDP
- Adobe Journey Optimizer
- Adobe Target
- XDM, schemas, datasets, identity, governance
Google & Data Stack
- GA4
- GTM
- BigQuery
- Looker Studio
- SQL
- server-side tagging concepts
- event modeling
- reporting marts
Strategy & Governance
- data layer architecture
- event taxonomy
- consent-aware measurement
- QA frameworks
- analytics requirements
- implementation standards
- stakeholder translation
Customer Journey Analytics
Used for cross-channel journey analysis, flexible data views, and deeper analysis on top of Adobe Experience Platform datasets.
Real-Time CDP
Used to unify customer profiles, build audiences, and activate segments across destinations.
Adobe Journey Optimizer
Used for journey orchestration and real-time customer engagement.
Adobe Target
Used for experimentation, personalization, and optimization.
GA4 + BigQuery
Used for event-level data export, custom modeling, and advanced analysis.
AI-Ready Data Systems
Used to ensure data quality, standardization, and governance are in place before AI models or personalization engines are trusted.