Recruiting · Production

Great Wolf Lodge cuts recruitment ad spend by $700k and improves interview show rates up to 75% with conversational AI assistant Emma

The problem

Great Wolf Lodge's recruiters were manually screening and scheduling candidates, causing slow hiring, low overall applicant volume, and high candidate drop-off before interviews.

Workflow diagram · grounded in source

Candidate applies via phone

trigger

“Great Wolf Lodge's conversational AI assistant, Emma, is available 24/7 for candidates to apply or ask questions right from their phone”

Emma engages candidate conversationally

ai_action

“speeding up the hiring process and improving the candidate experience”

Emma proactively contacts via cell phone

ai_action

“Emma's ability to reach out to candidates via cell phone has improved interview-show rates up to 75%”

Streamlined hiring outcomes delivered

output

“increase applicants, decrease no-shows, and reduce recruitment marketing spend by $700,000 annually”

Reported outcome

Great Wolf Lodge saved $700k in job advertising spend in 2024, improved interview-show rates up to 75%, dramatically increased applicant volume, decreased no-shows, reduced time-to-hire, and improved candidate satisfaction.

Reported metrics

Recruitment advertising spend saved$700k in 2024

Interview show rateup to 75%

Recruitment marketing spend reduction (annual)$700,000 annually

Applicant volumedramatically increasing applicant volume

Show all 6 reported metrics

recruitment advertising spend saved$700k in 2024

interview show rateup to 75%

recruitment marketing spend reduction (annual)$700,000 annually

applicant volumedramatically increasing applicant volume

time-to-hirereducing time-to-hire

candidate satisfactionimproving candidate satisfaction

Reported stack

Emma

Source

https://www.paradox.ai/case-studies/great-wolf-lodge

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Great Wolf Lodge saved $700k in job advertising spend in 2024, improved interview-show rates up to 75%, dramatically increased applicant volume, decreased no-shows, reduced time-to-hire, and improved candidate satisfa…

What tools did this team use?

Emma.

What results were reported?

Recruitment advertising spend saved: $700k in 2024; Interview show rate: up to 75%; Recruitment marketing spend reduction (annual): $700,000 annually; Applicant volume: dramatically increasing applicant volume (source-reported, not independently verified).

How is this recruiting AI workflow structured?

Candidate applies via phone → Emma engages candidate conversationally → Emma proactively contacts via cell phone → Streamlined hiring outcomes delivered.