ERIN, AI Employee Referral Platform

How a Global CX Leader Automated 18,000 Referrals a Month and Saved Millions

September 1, 2024

Customer name withheld at the company's request. All metrics are reported as measured on the ERIN platform.

"We found out that with a strong employee referral program, we could get a lower cost-per-hire and decreased time-to-fill — which is totally working for us." — Sr. Director, Talent Acquisition Innovation

At a glance

  • 23,000employees across multiple countries
  • 73%workforce actively engaged with the platform
  • ~18,000referrals submitted per month
  • 11,168hires made through ERIN in two years
  • $5.2Msaved in cost-per-hire over two years
  • $1M+admin time reclaimed over two years

Introduction

A global Customer Experience Management (CXM) leader with 23,000 employees set out to modernize how referrals worked across its multi-country workforce. In 2022 the company launched ERIN under a white-labeled brand, letting employees submit and track referrals from any web browser or from the mobile app. Two years post-launch, this case study looks at adoption, performance, and impact on the company's hiring strategy.

Platform adoption

Adoption has been notably high: 73% (18,493 employees) of the workforce actively engage with the platform, and 68% of those (15,615 employees) have made at least one referral — a strong signal of organic acceptance, not mandated use.

Performance metrics

  • Total referrals: 461,869 referrals (322,860 unique candidates), averaging nearly 18,000 referrals per month.
  • Referral quality: Despite the volume, the platform automatically flagged 42.6% (197,036) of referrals as ineligible based on company policy — keeping recruiter inboxes clean.
  • Engagement: 30% (138,700) of referred candidates did not respond, leaving 126,133 eligible and interested candidates.
  • Hiring success: 11,168 hires through ERIN — roughly 30% of annual hires — at a referral-to-hire ratio of 1:11.

Financial impact

Administration time saved — $1M+ over two years

The team estimates a conservative 10–15 minutes of management time on average for every legitimate referral that ends up marked ineligible (full-time status, manager status, and dozens of other policy checks). Automating those eligibility checks added up to 25,000+ man-hours saved over two years.

Cost-per-hire savings — $5.2M over two years

The company estimates that a referral hire comes in at roughly a 50% reduction vs. their average cost-per-hire. The pre-ERIN benchmark was <10% of hires coming from referrals; today, referrals account for 32% of hires — a net of nearly 6,000 additional referral hires attributable to ERIN. At an average $1,000 savings per hire, that's $5.2M saved over two years.

Impact analysis

Recruitment efficiency

By tapping into employee networks, the company reached a far larger candidate pool — evidenced by 322,860 unique individuals referred. Beyond pipeline volume, referrals consistently produced candidates who were a better fit for the company's culture and roles.

Cost-effectiveness

A 30% referral-driven hiring rate meaningfully reduced reliance on agencies and external sourcing spend. Automatic eligibility screening ensured recruiters only spent time on viable candidates — compounding the cost savings.

Employee engagement

High adoption and active participation reflect well on overall engagement. Involving employees in hiring built a sense of ownership in the company's growth — and reinforced retention.

Conclusion

Two years in, the platform has transformed how this CX leader hires: a streamlined process, measurable financial efficiency, and a stronger, employee-built workforce. With referrals operating as a durable, scaled channel, the company is positioned to keep attracting top talent and defending its competitive edge.