Recruiting · Production

Randstad uncovers 12,500 new job seekers from 1.6M profiles with HireVue AI-powered talent pool engagement

The problem

Randstad's talent database required continuous nurturing at scale, while new privacy laws demanding explicit consent and competitive pressure to find candidates faster compounded the challenge. Their existing landing-page-and-form approach was inadequate for engaging the volume of profiles required.

First attempt

Randstad's traditional marketing automation approach using landing pages and form fields produced lower engagement rates and slower results than the conversational AI approach.

Workflow diagram · grounded in source
1
Email outreach to talent database
trigger
“combining email outreach with a natural language-based and multilingual webchat”
2
Multilingual webchat conversation
ai_action
“natural language-based and multilingual webchat”
3
New job seekers identified
output
“uncovered 12,500 new active job seekers”
Reported outcome

Within 4 weeks, Randstad contacted over 1.6M profiles and uncovered 12,500 new active job seekers, with 96% of conversations completed — far exceeding expectations compared to the prior marketing automation approach.

Reported metrics
Profiles contacted1.6M
Conversations completed96%
Conversations resulting in new job seekers63%
New active job seekers uncovered12,500
Show all 5 reported metrics
profiles contacted1.6M
conversations completed96%
conversations resulting in new job seekers63%
new active job seekers uncovered12,500
project execution timeless than 4 weeks
Reported stack
HireVue
Source
https://www.hirevue.com/case-studies/randstad
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Within 4 weeks, Randstad contacted over 1.6M profiles and uncovered 12,500 new active job seekers, with 96% of conversations completed — far exceeding expectations compared to the prior marketing automation approach.

What tools did this team use?

HireVue.

What results were reported?

Profiles contacted: 1.6M; Conversations completed: 96%; Conversations resulting in new job seekers: 63%; New active job seekers uncovered: 12,500 (source-reported, not independently verified).

What failed first in this deployment?

Randstad's traditional marketing automation approach using landing pages and form fields produced lower engagement rates and slower results than the conversational AI approach.

How is this recruiting AI workflow structured?

Email outreach to talent database → Multilingual webchat conversation → New job seekers identified.