Case Study: How a Recruiter with No Tools or Experience Found a Candidate with Our Predictive Model

Case Study: How a Recruiter with No Tools or Experience Found a Candidate with Our Predictive Model

At ELTIC, we know that four in ten people identified by our predictive analytics as likely to move jobs do, in fact, change positions within a short period. Despite this, there is skepticism in the market. One prospect even challenged us by asking, “If it’s so good, why don’t you do it yourself?” That’s why we decided to put our model to the test.

One prospect even challenged us by asking, “If it’s so good, why don’t you do it yourself?” That’s why we decided to put our model to the test.

We brought in a consultant with a strong HR background but no prior outreach or recruiting experience. She wasn’t using advanced tools like LinkedIn Recruiter and instead relied on basic tools and our predictive model. The idea was simple: Could our tool drive successful outcomes even for someone with no prior recruitment experience?

Key Metrics:

  • Targeted Outreach: Out of 200 solicitors in Brighton, our model identified 66 candidates as the most likely to change jobs (a combination of green and amber). This drastically reduced the potential pool to 33% of the original size.
  • Multi-Touch Approach:
  • Results: Despite these small numbers, the consultant managed to engage a high-potential candidate who was marked as "green" (most likely to change jobs), proving the tool’s predictive power.

What’s Important:

This case shows that by focusing on data-driven outreach, we dramatically reduced the number of people contacted—down from 200 to just 66—and still managed to drive meaningful engagement. Even with follow-ups to only 9% of the overall pool and connecting with 20% of phone calls, we identified a mover.

Efficiency:

The process took just over a day and a half of actual work, spread over three days. This is a powerful example of how our tool can help recruiters save time by focusing on high-probability candidates.

Conclusion:

In a short time, using minimal resources and focusing on high-probability candidates, our consultant managed to engage a solicitor likely to move jobs. This success story demonstrates that even with basic tools and a small candidate pool, ELTIC’s predictive model can significantly reduce outreach while still delivering results.


Want to see how Job Change Predictor can improve your recruitment process? Contact us for a demo or start your free trial today and experience the benefits of data-driven recruitment.

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