The DataMoon Blog / Topic
Marketing Data Platforms
Choosing, piloting and running customer and marketing data platforms, CDPs and identity resolution.
Related solutions: Enterprise data, Clean Room
Evaluating a Customer Data Unification Platform Using Match Rate
Judge unification platforms on match rate by channel before the feature list.
Untangling Customer Data Unification Platform Myths
What unified really means, why centralization is not unification, and a 90-day playbook tied to revenue.
Boost Customer Match Rates: Identity Resolution, Hashing, Consent, Stitching
Low match rates in Customer Match on Google, Meta, and LinkedIn waste budget.
What a Real Time Customer Data Platform Should Do for Sales Ops
A real-time customer data platform should make sales faster, not just reports prettier.
Hardening a Real-Time CDP for Sales Trust: Identity, Contracts, Response
A real-time customer data platform (CDP) only pays off if sales reps trust the outputs.
Sales-Trusted Customer Data Platform: Identity Resolution and Disputes
Match confidence scores reps can read and dispute workflows fast enough for quarter end.
Getting Real with B2B Market Intelligence Platform ROI
Most teams aren’t short on tools.
Evaluating a Customer Intelligence Platform by Revenue Coverage
Stop buying on theoretical scale. Measure what percent of the revenue you already booked is visible, targetable, and measurable.
Inside a Real Time Customer Data Platform Built for Operators
Real latency targets, match-rate ranges, and a scorecard for identity, intent, activation, and usability.
Suppression Rules That Cut Wasted Spend on Meta and Google
Suppression rules are one of the fastest ways to cut wasted impressions, improve retargeting efficiency, and protect CAC across Meta and Google.
Building a First-Party Data Platform People Actually Use
Design for daily marketer workflows, prove lift fast, and skip the traps that stall platform adoption.
How Identity Graphs Improve Cross-Channel Match Confidence
Identity graphs improve cross-channel match confidence by helping us connect scattered identifiers to a fuller customer profile.