The DataMoon Blog
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Intelligence.
Expert perspectives on data strategy, identity resolution, and marketing technology.

B2B Intent Data Providers: How to Test Signal Decay
Intent data has a short shelf life.
Latest Articles · Page 10

Question-Driven Segmentation: Start With Decisions, Not Demographics
Strong customer segmentation starts with the decisions you need to make. Question-driven groups keep delivering long after demographic ones drift.

Build a Multi-Channel B2B Lead Gen Engine With a Marketing Data Platform
Multichannel B2B lead gen works best when every channel pulls from the same source of truth for identity, intent, and routing.

Your First Marketing Data Hire: Roles and a 90-Day Plan
Picking a platform is the halfway point. Who you hire first and what they do in the first 90 days decides whether you see real lift next quarter.

DataMoon at LeadsCon 2026: Recap
We sponsored LeadsCon 2026 and spent three days talking to operators about identity, intent, and what actually moves pipeline. Here's the recap.

Turning Visitor Behavior Analytics Into Actionable B2B Pipelines
Visitor behavior analytics only matter when they change who your sales team talks to this week and what they say.

Marketing Data Platform RFP Scorecard: Practical Evaluation Framework
A weighted scorecard for comparing marketing data platforms on what actually decides success.

Why Real-Time CDPs Beat Marketing Data Warehouses for Activation
Most marketing teams do not need another giant data warehouse. They need a fast way to recognize people, see intent, and act before that intent cools.

Plan and Run a 14-Day Marketing Data Pilot That Actually Proves Value
A 14-day pilot is enough time to see if a marketing data platform will actually move your numbers — if you define success and pick smart test data first.

Incrementality-First Attribution: Holdouts, Geo Tests, and Cross-Channel Lift
Use identity to design holdouts, geo tests, and cross-channel lift you can actually trust before peak budgets hit.

How to Choose a Marketing Data Platform: Criteria, Data Model, and What to Defer
Pick the use case first — attribution, routing, or audience sync — then evaluate platforms against a minimum data model.

Attribution After Visitor ID: Reconciling Anonymous-to-Known Journeys
Reconcile anonymous-to-known journeys, stitch devices, and correct measurement bias so budget decisions stop drifting.

How to Evaluate Visitor Identification Vendors Without Getting Burned
Stop guessing on visitor identification vendors. A practical checklist for RFPs, demos, and proof-of-concept tests.
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