Likely to move overview
This feature analyzes dozens of predictive variables and uses advanced machine learning to predict which candidates are most likely to be open to a new opportunity. High-scoring candidates are two times more likely to change jobs in the next 90 days and have 19% higher email engagement rates than low-scoring candidates.
Likely to move also offers context around each candidate's prediction score by showing some of the signals yielding the results like a candidate’s average job tenure, recent work anniversaries, company turnover rates, and recent company news.
Leverage these insights to prioritize candidates who are more receptive to new opportunities, personalize your outreach messaging, and optimize your recruiting strategy.
Likely to move prediction score
On a profile, a bar graph shows a candidate's likely to move prediction score. This helps you easily identify candidates who are likely to move.
| Low likely to move score | High likely to move score |
|---|---|
 |  |
Tip: Click
to view details like the average job tenure, work anniversary, turnover rate at current company, and more.
Filtering
You can filter searches to prioritize candidates with a high likely to move prediction score.
For search results, apply the More Likely to Move filter to view candidates that the algorithm predicts are more likely to move:
