How to Track Job Changes?

Discover how to track job changes to hire the best person at the best time ✓ Optimize hiring with GoPerfect AI resume screening solution
Published on
April 22, 2026

This is part of GoPerfect Labs — where we publish findings from our data team. We analyze sourcing patterns and candidate behavior across our platform, then share what we find so recruiting teams can work sharper, not harder.

We analyzed 4 million passive candidate profiles sourced through GoPerfect across tech, fintech, and GTM roles over 18 months. We tracked engagement rates, conversion to interview, and — critically — the profile signals that predicted openness to a new role before any outreach was sent.

What we found challenges one of the most expensive assumptions in recruiting: that passive candidate sourcing is a volume game.

The myth of the passive candidate pool

Passive candidates aren't a homogeneous block. The word "passive" covers a wide spectrum — from someone who'd immediately take a call for the right opportunity, to someone who has zero intention of moving for at least two years. Most sourcing tools treat them the same. That's the first mistake.

Our data identified five distinct passive candidate states, each with very different response rates to outreach. The difference between reaching a "latently active" candidate versus a "deeply passive" one — even with an identical, high-quality message — was a 4.1x gap in positive response rates.

The obvious follow-up: how do you identify "latently active" candidates before you reach out? That's where the career signal data gets interesting.

The signals that predict a career move — before the candidate knows they're ready

We looked at the 14 months of profile activity preceding every successful placement in our dataset and mapped the signals that consistently appeared in the window before a candidate engaged. Four signals stood out with strong predictive power.

When candidates switch: the timing data nobody looks at

Beyond who is likely to move, our data revealed strong patterns in when candidates are most receptive across the calendar year. These patterns were consistent enough to be genuinely useful for sourcing campaign planning.

Two windows consistently outperform across every role type: February–April (post-bonus cycle, post-performance review) and September–October (post-summer, new-quarter energy). July and December are the worst-performing months in every category — yet many recruiting teams maintain the same outreach cadence year-round.

"Sourcing the right person at the wrong moment is indistinguishable from sourcing the wrong person."

What this means for how you build your sourcing pipeline

The practical takeaway isn't to stop sourcing outside the peak windows — it's to concentrate your highest-effort, most targeted outreach there, and let AI handle the continuous coverage. GoPerfect runs sourcing on autopilot 24/7, which means it catches the right candidate at the right moment automatically — rather than relying on a recruiter to run searches at the exact moment a signal fires.

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