83%
“83% reduction in research costs”
As published on clay.com. Captured by usedby on Oct 2, 2026.
What happened
A-LIGN uses Clay to automate competitive displacement research on its accounts, replacing a manual contractor process, and to enrich LinkedIn location data for event targeting. Its sales ops team also uses Clay to process data and push it directly into Salesforce instead of going through an admin ticket handoff.
Summary written by usedby from the source page, in English. The figures are those of Clay and A-LIGN, not ours.
- $6.8M“$6.8M in total pipeline generated or identified ($4.2M created, $2.6M tagged)”
- 24x“That's a 24x speed improvement.”
- 41%“Clay found 4,500 new LinkedIn URLs that standard providers missed (41% lift).”
- 23%“That meant 23% of their "known good" data was actually incorrect.”
Before Clay, A-LIGN paid $60K annually for a contractor to manually research 2,000 accounts over six months. The output was a spreadsheet with 15 columns of yes/no answers.
Today, when folks talk to me about anything AI, they say, 'Can Clay do this?' And what they mean is can we find an AI workflow to solve for this,
What the story claims, and what we checked
We compared the story with its live page on Oct 3, 2026.
- The figure: 83%CheckedPrinted word for word on the page, near the name of A-LIGN.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of A-LIGN.
- A-LIGN uses ClayCheckedConfirmed line. Latest check across sources: Oct 5, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.
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