Enriched data lets you segment by attributes you did not originally capture, such as company size, industry, tech stack, or seniority level. This allows you to build micro-segments matching specific pain points instead of sending the same message to your entire list.
Enrichment is only useful when the fields you add actually change the message you send. Most teams enrich every record with 30+ fields and then segment on two of them, leaving the other 28 fields wasted. The better workflow is to look at your last three to four campaigns, identify the two or three fields that correlate with reply rate or conversion, and build segments around them. Common patterns that pay off: pairing an employee band with one technographic signal (uses Salesforce, doesn’t use a competing product), or pairing an industry with a single recent trigger event. The data-quality piece matters too. The 2025 State of Marketing Data report from Integrate and Demand Metric, based on responses from 200+ senior marketing operations leaders, found that nearly 75% of respondents estimate that at least 10% of their lead data is inaccurate, outdated, or non-compliant, which makes any downstream segmentation based on that data wrong by default. Refresh before you segment.
Pick two or three fields that mattered in your last campaign, not all 30 you have. Refresh them before you build the segment, not after the send. If you can’t write distinct copy for a segment, you don’t need it as a segment yet, so collapse it into the next one up.
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