How Deep Is the Data? Evaluating Field Completeness

How Deep Is the Data Evaluating Field Completeness

A database can advertise rich records and still be hollow where you need it most. “Field completeness” — how fully records are populated on the fields you care about — is one of the most overlooked quality measures. Here’s how to evaluate …

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Account-Level vs. Contact-Level Data: Which Do You Need?

Account-Level vs. Contact-Level Data Which Do You Need

B2B data comes in two granularities: data about companies (account-level) and data about individuals (contact-level). Which you need depends on your strategy — and many teams need both, layered together. Here’s the difference and how to decide what to buy. Two Levels …

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Decision-Maker Data: How to Reach the Right People

Decision-Maker Data How to Reach the Right People

You can have a perfect product and a great pitch, but if you’re talking to the wrong person, none of it matters. Reaching the actual decision-maker and the others who shape the decision is half the battle in B2B. Here’s how to …

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Company Size and Seniority Filters That Actually Matter

Company Size and Seniority Filters That Actually Matter

Company size and seniority are two of the most-used filters in any B2B database and two of the most quietly unreliable. They’re powerful for targeting when accurate, and misleading when not. Here’s how to use them well and why the data behind …

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How to Evaluate Geographic Coverage in a B2B Database

How to Evaluate Geographic Coverage in a B2B Database

A database that’s excellent in North America might be sparse in Europe or Asia — and a headline record count won’t tell you that. If you target specific regions, geographic coverage is one of the most important things to evaluate, and one …

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