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.
Building a search
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.