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Case Study | Home Improvement Retailer

Modernized buyer journey analytics engine for ecommerce growth

Modernized buyer journey analytics engine for ecommerce growth

Challenge

  • Lack of actionable media channel performance insights made budgeting and optimizing ad spend difficult due to inaccurate attribution.
  • Event-based analytics methodology didn’t support the modern buyer journey.
  • Lacked data, analytics, and technology foundation to evolve to a modernized, journey-based analytics approach for ecommerce.

Approach

  • Built data architecture to support migration from Adobe Analytics to Adobe Customer Journey Analytics, ensuring speed, scale, and automation.
  • Prioritized over one thousand Adobe Analytics workspaces—data was migrated in stages based on business impact.
  • Validated results and trained client team on evolved KPI calculations & definitions driven by new approach (return on ad spend, etc.).

Results

  • 75%
    Data automated to reduce migration timeline
  • $>1M
    Optimized media & channel spend based on journey stage insights within full customer journey
  • Insight:
    Prioritize ecommerce personalization

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