customer-data-platform-strategy

What problem does it solve?

It prevents ecomm operators from overpaying for a customer data platform (CDP) or skipping one when identity resolution and event activation are quietly breaking attribution, personalization, and measurement.

Core Features & Use Cases

• CDP decision framework (archetypes and fit): Classifies the best path among warehouse-first, packaged CDP, composable CDP, or staying on platform-native audiences based on revenue level, activation surface count, and engineering headcount.
• Activation ROI scoping: Prioritizes activation surfaces using lift hierarchy and sizes the personalization payoff with cohort LTV and channel distribution.
• Identity resolution and schema audit: Determines the identity-stitching level needed (deterministic to probabilistic) and enforces event schema discipline (naming, mandatory properties, casing consistency, versioning, and event-count discipline).
• Compliance posture checks: Verifies GDPR/CCPA readiness with right-to-deletion, data minimization, retention windows, consent flags, and cross-border transfer requirements.

Quick Start

Ask the AI to run a CDP buy-vs-build assessment for your brand and return the archetype diagnosis, archetype scorecard, schema and compliance gaps, and a prioritized rollout plan.