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Why Must Sourcers Move Away From LinkedIn In Their Sourcing?

March 9, 2022 · SourceCon Digital ·

About this video

LinkedIn holds an enormous amount of candidate data, but size creates its own problem: most recruiters never look past the first ten pages of results, which means qualified people sitting on page twenty or page fifty are effectively invisible. A candidate can be fully present on LinkedIn and still never get found, simply because the search algorithm buries them.

A side-by-side experiment tested this by running identical strings, locations and current-company filters across LinkedIn, GitHub, Amazing Hiring and HireEZ for the same software engineering role. The results were wildly inconsistent:

  • LinkedIn returned a smaller candidate pool than the other platforms for the same search terms, and its ranking order shifted person to person, since results are shaped by each recruiter's own network.
  • HireEZ and Amazing Hiring surfaced candidates LinkedIn missed entirely, often because those platforms retain older or richer profile data pulled from sources like GitHub or Stack Overflow, even after a person edits or trims their LinkedIn profile.
  • Keyword variants mattered: a search for "REST" and one for "RESTful" produced different people, showing how sensitive these searches are to exact phrasing.
  • When 150 profiles were pulled from each of four platforms for the same search, only two names overlapped across all six hundred results. Nearly everyone assumed at least a third would repeat; almost none did.
  • Widening the same search beyond a single company produced result counts ranging from roughly seven thousand on LinkedIn to well over thirty thousand on another platform, with GitHub adding thousands more names not found anywhere else.

The pattern points to a distinction worth keeping in mind: there are candidates who genuinely cannot be found because they aren't on a given platform, and there are candidates who simply aren't found because of how a search engine ranks and filters results. Search engines don't surface the best candidates; they surface the candidates their own ranking logic decided to show first.

The practical response is not to abandon LinkedIn but to stop treating it as sufficient on its own. Running the same search across multiple sourcing platforms, and treating each one's ranking as a partial and biased view rather than a complete list, recovers a meaningful share of the talent pool that a single-channel search would never surface.

Why Must Sourcers Move Away From LinkedIn In Their Sourcing? | ERE Pro