Introducing Pér, the Customer Data Agent Built for Better Decisions

Evaluate entity resolution software using customer-specific entities, reviewed error cases, source lineage and operational requirements.

Discover how AI agents are changing marketing workflows, helping teams move from campaign execution to continuous, objective-driven decisions.

Compare packaged, composable and lakehouse-connected CDP architectures by data flow, processing, governance and operating ownership.

Govern AI customer decisions with trusted context, clear permissions, scoped approvals, and accountability. Learn where to start and what to measure.

See six published CDP examples across retail, travel and sports, with the customer problem, data work and reported result.

Measure identity resolution accuracy with reviewed samples, false-merge and missed-match tests, and a clear account of uncertain cases.

Bring your Amperity audiences to streaming TV with Vibe. Reach valuable customers, reengage lapsed buyers, and focus acquisition campaigns.

Evaluate a real-time CDP by testing event ingestion, identity, profile updates, audience changes and destination delivery separately.

Plan a customer data platform migration around history, identity, eligibility and destination behavior, with validation before cutover.

Understand customer data platform cost beyond the license: implementation, usage, storage, integrations, staffing and migration.

Design a CDP proof of concept using your data, identity-quality checks and destination tests. Define the evidence your buying decision needs.

Plan CDP implementation around one measurable use case, accountable owners, tested identity resolution and a verified activation workflow.