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Unified Data Analytics Platform for Multi-Brand Pet Insurance Ecosystem
  1. case
  2. Unified Data Analytics Platform for Multi-Brand Pet Insurance Ecosystem

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Unified Data Analytics Platform for Multi-Brand Pet Insurance Ecosystem

nybblegroup.com
Insurance
Consumer products & services

Data Fragmentation and Inconsistent Reporting Challenges Across Multi-Brand Operations

Multiple pet insurance brands with distinct sales flows and technologies caused fragmented data, inconsistent reporting, and difficulties adapting traditional analytics tools to complex pet insurance sales models involving breed-specific policies, multi-pet transactions, and variable coverage needs.

About the Client

One of North America's largest pet insurance and services organizations operating multiple brands, including ASPCA, FIGO, and AKC.

Strategic Objectives for Unified Data Management and Analytics

  • Standardize data collection across all brands for consistent metric comparison
  • Develop unified dashboards for cross-brand performance visualization
  • Optimize conversion tracking for complex insurance sales processes
  • Enable data-driven decision-making through centralized analytics

Core Functionalities for Data Standardization and Analytics

  • Custom GA4 implementation for pet insurance-specific metrics
  • Standardized data schema for breed, age, and coverage variables
  • Multi-pet transaction tracking system
  • Individual brand dashboards with aggregated portfolio view
  • Conversion funnel analysis tools for insurance sales processes

Technology Stack Requirements

Google Analytics 4
Looker Studio
JavaScript Data Layer

System Integration Needs

  • Legacy sales systems across multiple brands
  • Brand-specific CRM platforms
  • Insurance quoting engines

Operational Requirements

  • Scalable architecture for multi-brand expansion
  • Real-time data processing capabilities
  • Enterprise-grade data security and compliance
  • Cross-platform performance optimization

Expected Business Impact of Unified Analytics

Enables cross-brand performance comparison, improves conversion rate optimization by 30%, reduces reporting time by 50%, and provides actionable insights for personalized insurance offerings through standardized data visualization and analysis.

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