The use case: how Intercom deploys Clay
Intercom uses Clay to enrich CRM records with data from many providers and to run continuous enrichment flows that source and update target account lists for its AI agent Fin. The transparent signals let sales reps see why an account qualified.
More reported results
Figures published in Clay’s case study. They are not independently measured by usedby.
Sourced 4,000+ accounts
Enriched 21,000 contacts
In the customer’s words
Clay is helping us nail the fundamentals: who to target, how to identify them, and how to automate the administrative parts of getting that data into a salesperson's hands,Clay helps us identify companies that are the best fit for Fin. We now know exactly which signals — including niche ones — predict that an account matches our ideal profile,Our enrichment flows run continuously, so our data is always up-to-date and relevant,We can spin up lists in five minutes to pilot with sales reps and iterate fast,Clay is like a 'glass box' — it's interpretable and auditable,Clay helped us figure out how to support our reps so they can do the part of the job that matters most,Other AI tools used by Intercom
Other public relationships recorded on usedby.
AssembledConfirmed
Augment CodeConfirmed
CodaConfirmed
IntercomConfirmed
incident.ioConfirmed
ChatGPTObservedOther companies using Clay
Customers across industries, with public evidence.
A-LIGNConfirmed
AlertMediaConfirmed
AnthropicConfirmed
CoverflexConfirmed
ElevenLabsConfirmed
Exit FiveConfirmedGo straight to the source
Based on Clay’s published case study. We check the public evidence; the results are reported by the vendor.
clay.com- Last checked
- Nov 5, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 140%Checked
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- The passage quoted aboveChecked
Copied word for word from the page, near the name of Intercom.
- Intercom uses ClayChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
With Clay, RevOps and sales managers could now sit together, adjust filters live, and regenerate new lists in minutes — and sales reps could see exactly why an account qualified, down to the raw signals.
