# How A-LIGN uses Clay

**83%**: “83% reduction in research costs”

As published on [clay.com](https://www.clay.com/customers/a-lign). Captured by usedby on 2026-10-02.

- Company: [A-LIGN](https://www.usedby.ai/companies/a-lign.md)
- Tool: [Clay](https://www.usedby.ai/tools/clay.md)
- Industry: [Accounting & Audit](https://www.usedby.ai/companies/industry/accounting-audit.md)
- Teams: GTM Operations, Sales Ops, RevOps, Events
- Customer since (as the page says): Clay deployed March 20, 2025.

## What the story says

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.

> 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.

- **$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.”

> 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,
>
> Arthur Lorente, Director of GTM Operations

## What usedby checked

We compared the story with its live page on 2026-10-03.

- Checked: the figure 83% is printed word for word on the page, near the name of A-LIGN.
- Checked: the passage quoted above is copied word for word from the page, near the name of A-LIGN.
- Checked: A-LIGN uses Clay. Confirmed line. Latest check across sources: 2026-10-05.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/a-lign-clay · How we check: https://www.usedby.ai/methodology