Glossary entry
Voice mining
Mining customer-voice sources (G2, Reddit, Trustpilot, HN, Capterra, X, podcast transcripts) for clustered themes that reveal market pain, competitor weakness, and emerging language. The unfair-advantage layer of modern outbound: SDRs who quote real customer language back to prospects close at higher rates than SDRs who use vendor-approved messaging. Mama clusters voice mentions into themes nightly and surfaces them per account in the brief.
01Definition
TLDR
Mining customer-voice sources (G2, Reddit, Trustpilot, HN, Capterra, X, podcast transcripts) for clustered themes that reveal market pain, competitor weakness, and emerging language. The unfair-advantage layer of modern outbound: SDRs who quote real customer language back to prospects close at higher rates than SDRs who use vendor-approved messaging. Mama clusters voice mentions into themes nightly and surfaces them per account in the brief.
02Why it matters
Customers describe their pain in language vendors never quite get right. Mining that language is competitive intelligence.
03Example
Worked example
Voice mining surfaces 47 HN comments mentioning 'dbt build times' across 14 companies in Q1 → templates anchor on that exact phrase.
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