LinkedIn search

Searching at query time, measuring how many prospects actually match, and how large searches split into complementary sub-searches.

Neuraware's search queries LinkedIn data at the moment you search — the results are as fresh as your query, not as old as an export. Before any campaign is promised anything, you see how many profiles actually match your criteria.

Describe your target with filters — role, industry, location, and so on — directly in Neuraware. The search runs as a public LinkedIn search: no connected account involved, no cookie, no quota. It returns a measured count: how many prospects exist for these criteria, right now.

That number matters more than it looks: it is your real market for this targeting. A narrow count is a warning worth having before launching a campaign, not after.

Drawing prospects into a list

From a search, you draw prospects into a list in controlled batches — you decide how many. Every draw applies the standard safeguards: deduplication against the whole workspace and the exclusion list. Drawing more from the same search later continues where it left off, without duplicates.

Large searches: complementary sub-searches

Past roughly 2,500 profiles, LinkedIn stops serving deeper pages of any single search. When your search is bigger than that, Neuraware proposes a split plan: the search is divided into complementary sub-searches (by facets such as location or industry), each covering a slice of the audience, plus a remainder covering everything the slices miss.

You see the plan before launching — each sub-search with its estimated size — and confirm it. Exhausted sub-searches are flagged; when everything is exhausted, refining the filters opens a new pool.

What search never does

Searching never consumes anything on your connected LinkedIn accounts — no invitations, no profile visits, no quota. Your accounts keep their full capacity for conversations.