Analytics Mates

Case Study

Analytics Portability Across a Multi-Brand Auto Program

How Analytics Mates designed a platform-agnostic measurement system for Costco Auto.

Automotive Multi-Brand Programs Platform-Agnostic Analytics

Client partner

Costco Auto logo

Executive summary

Enterprise analytics programs rarely fail due to tooling. They fail when measurement systems are too tightly coupled to a single platform, making them brittle in the face of governance, compliance, or organizational change.

In working with the Costco Auto Program, Analytics Mates was engaged to stabilize and standardize analytics across multiple web properties, vehicle categories, and incentive programs — and to ensure that measurement could survive evolving enterprise requirements around data governance and platform usage.

After establishing consistent instrumentation and reporting foundations, the program was required by Costco corporate leadership to transition away from Google-based analytics technologies. Analytics Mates led the migration to Amplitude Analytics without disrupting measurement continuity or decision-making.

This case study outlines how Analytics Mates treated analytics as portable operating infrastructure, not a vendor-specific implementation.

System snapshot

Industry Automotive (multi-brand buying program)
Primary constraint Enterprise governance and data-sharing requirements
Measurement scope New vehicles, pre-owned, RVs, incentives, and dealer pathways
Architecture principle Platform-agnostic event design
Final analytics platform Amplitude Analytics
Optimization target Product discovery, incentive engagement, and dealer-intent actions

The switch

Problem

Measurement had to stay consistent across multiple properties and vehicle categories — and survive corporate governance shifts without a full rebuild.

Instead of

Vendor-coupled analytics designs that reimplementation risk whenever platform requirements change.

The switch

Event-first, platform-agnostic measurement architecture — swap the analytics engine without redefining business logic.

The enterprise analytics reality

Large consumer programs operate under constraints that extend beyond marketing teams:

  • Centralized governance decisions at the corporate level
  • Evolving policies around data sharing and vendor exposure
  • Multiple brands, properties, and stakeholders relying on shared measurement
  • Long, research-heavy user journeys that span sessions and properties

For Costco Auto, analytics needed to remain accurate, consistent, and decision-ready — even as platform requirements changed.

Phase 1: designing measurement for portability

Event-first architecture

A comprehensive, platform-neutral event taxonomy was designed to represent:

  • Product discovery flows (new, pre-owned, RV)
  • Incentive and promotion engagement
  • Dealer-intent milestones (locate dealer, form submissions, click-to-call)
  • Vehicle attributes (make, model year, trim, body style)

Events were defined based on business meaning, not tool-specific conventions.

Consistent instrumentation across properties

Using Google Tag Manager as an execution layer, Analytics Mates:

  • Enforced consistent event naming and parameters
  • Deprecated brittle success-page logic
  • Standardized revenue and incentive signals
  • Documented all instrumentation for governance and auditability

At this stage, analytics became clean, consistent, and defensible — regardless of reporting interface.

A governance-driven platform shift

Following the completion of standardized instrumentation, Costco corporate leadership introduced new requirements limiting the use of Google technologies for analytics.

This decision was driven by enterprise-level governance considerations — not by deficiencies in the existing measurement design. Because the analytics system had been designed independently of any single platform, the program was able to migrate without re-engineering its core measurement logic.

Phase 2: implementing Amplitude as the analytics engine

Analytics Mates led the transition to Amplitude Analytics, mapping the existing event architecture into a new platform without redefining business logic.

Migration approach

  • Translated the established event taxonomy into Amplitude-native events
  • Unified multiple properties into a single behavioral model
  • Rebuilt core reports and dashboards inside Amplitude
  • Validated continuity of measurement across the transition

The result was not a "new analytics strategy," but a new execution layer running the same underlying system.

Architecture overview

Architecture diagram
Media & entry pointsPlatform-agnostic event definitionsTag management & instrumentationAnalytics platform (Amplitude)Custom product & journey reporting

The platform changed. The system did not.

What this replaced

  • Analytics designs tightly coupled to vendor-specific features
  • Property-by-property measurement inconsistencies
  • Reimplementation risk during platform changes
  • Dependence on a single analytics provider for continuity

Outcomes (without vanity metrics)

Because this work focused on durability and governance, Analytics Mates avoids superficial lift claims. What can be stated confidently:

  • Analytics continuity was preserved through a forced platform migration
  • Measurement definitions remained consistent across all properties
  • Reporting aligned to product discovery and dealer intent, not page views
  • Stakeholders retained confidence in analytics during organizational change
  • The system is now extensible to future platforms or requirements

Most importantly, analytics became resilient to enterprise decision-making, not fragile because of it.

Why this matters for enterprise teams

Enterprise analytics platforms change. Governance rules evolve. Vendor relationships shift.

Teams that treat analytics as a tool implementation are forced to rebuild each time. Costco Auto's experience demonstrates a more durable approach: design the system first, swap platforms second.

Ready to build portable analytics?

We design measurement systems that survive governance shifts and platform change.