pyne

Unlocking marketing insights from GA4 at scale

Data & AI PlatformingTourism & HospitalityMarketing
Unlocking marketing insights from GA4 at scale

Client Background

The travel agency operates multiple travel brands with large GA4 datasets. Analysts and data scientists needed reliable models but lacked data engineering capacity.

Aspiration

Provide a robust, cost-aware GA4 data model with business logic so teams can analyze traffic, conversion, and revenue drivers without engineering bottlenecks.

How We Did It

  • Incremental GA4 model: Built scalable pipelines with sessionization, attribution, and channel logic tuned for big volumes.
  • Cost and performance stewardship: Partitioning, clustering, and pruning to control compute while keeping SLAs.
  • Analyst-ready layer: Standardized dimensions and metrics for downstream analysis and experimentation.
  • Validation and scenarios: Reconciled to financials, added what-if views for pricing, mix, and cost changes.

Key Outcomes

  • Faster analysis for growth/marketing teams, leading to better conversion and traffic insights.
  • Lower maintenance burden through engineered, incremental pipelines.
  • A reusable foundation for experimentation and forecasting.
  • Future-ready: A strong base for analytics, ML, and automation across multiple domains.
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