Firmographic vs. technographic vs. demographic: a working glossary for PLG teams
Three terms that PLG content constantly blurs together. They answer different questions, and the order you collect them in decides whether your routing works.
ENRICHLOOPS THE BLOG
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Notes on data, go-to-market engineering, and building a business. Practical ideas from the EnrichLoops team.
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The signal-layer race everyone's chasing, and the funnel-coverage problem it skips
Every enrichment vendor in 2026 is selling a signal layer. It sits on top of the accounts you chose to enrich, which for most PLG teams is a small slice of the funnel.
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05 ARTICLESGTM engineering job postings are up 205% and most of them start with enrichment
GTM engineering postings are up 205% year over year. Job descriptions agree on what gets built first, and it's not the flashy part.
Agentic RevOps just made stale firmographic data an outage
An agent can't sanity-check a stale record the way a rep would. Once RevOps goes agentic, data quality stops being a nice-to-have.
A PQL Scoring Model You Can Ship in a Day
You don't need machine learning to score product qualified leads. You need a spreadsheet, eight signals, and an afternoon.
Why Enriching 10% of Your Signups Is a Rounding Error
Most PLG teams enrich the 10% of signups that already look like a fit and skip the rest. Once you run the actual numbers, that's backwards.
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See how company data helps qualify signups and fill in the gaps in your CRM.