# How Monte Carlo uses Juicebox

**50%**: “Total talent sourcing time was cut by 50% across the team”

As published on [juicebox.ai](https://juicebox.ai/customers/monte-carlo). Captured by usedby on 2026-10-07.

- Company: [Monte Carlo](https://www.usedby.ai/companies/monte-carlo.md)
- Tool: [Juicebox](https://www.usedby.ai/tools/juicebox.md)
- Industry: [Data & Analytics](https://www.usedby.ai/companies/industry/data-analytics.md)
- Teams: Recruiting, Engineering, Go-to-market

## What the story says

Monte Carlo's recruiting team uses Juicebox to start all of its candidate sourcing for engineering and go-to-market roles, using its search filters, shared company presets and Ashby ATS integration to build shortlists and avoid duplicate outreach.

Summary written by usedby from the source page, in English. The figures are those of Juicebox and Monte Carlo, not ours.

> It’s probably cut my sourcing time in half. Findem was super clicky, with a lot of steps. Juicebox is cleaner and quicker to use.

- **75 to 80%**: “I’d say Juicebox is 75 to 80% more accurate than other platforms.”

> Juicebox is definitely the one I’ve used the most, and the one that I’ve probably gotten the most value out of.
>
> Brenda Tern, Global Head of Recruiting & HR

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 50% is printed word for word on the page, near the name of Monte Carlo.
- Checked: the passage quoted above is copied word for word from the page, near the name of Monte Carlo.
- Checked: Monte Carlo uses Juicebox. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/monte-carlo-juicebox · How we check: https://www.usedby.ai/methodology