B2B Prospecting Database: Build a LinkedIn Lead List Without a Scrape
A prospecting database returns a finished lead list in minutes and spends no LinkedIn account capacity doing it. Reachium's holds more than 5 million people and companies, and it is strongest on investors (VCs, family offices and PE firms), where LinkedIn scraping is a poor substitute. Here is how to search it without importing a list that reads wrong.
Run it when: the ICP is investors, or it is standard B2B and you would rather not wait two hours for a scrape.
Time: 10 minutes.
Last reviewed September 2026.
Before you search the database
The ICP one-liner
A decision on whether email addresses are genuinely needed
A target list size
How to search a B2B prospecting database
1. Decide whether this is the right source.
Investor ICPs belong here first: VCs, family offices, PE firms are the database's strongest coverage, and LinkedIn scraping is a poor substitute. Standard B2B works well too, and a list built here costs no LinkedIn activity at all, so it never eats into the 25 a day.
What the database cannot do is behavioural targeting: if the trigger is "commented on this post" or "posted in the last 30 days", that is a scrape, not a search.
2. Build the person side of the filter.
Title keywords, seniority, department, and the person's own country, state or city. Title keywords behave like the job-titles filter elsewhere: write the variations, because matching is on words, not meaning.
3. Build the company side.
Company keyword, industries, verticals, headcount buckets, and the company's own HQ location. Company location and person location are separate filters for a reason; a remote executive lives in one and works for the other.
4. For investors, switch the company type over.
Set company type to investor, then use the investor-specific filters: investor types such as Venture Capital or Family Office, and the sectors they invest in. Sectors go in the target-sectors filter, never in industries, which describes the firm rather than what it funds. This is the most common mistake on investor searches.
5. Only filter on email if the workflow needs it.
Email coverage is much thinner than LinkedIn coverage, so requiring a verified email shrinks the result set hard. If the campaign runs on LinkedIn, leave it off.
6. Preview before you import.
Run the search and read the sample rows. Do the titles and companies actually look like the ICP? A sample that reads slightly wrong becomes a list that reads very wrong at 2,000 rows. Never import a search you have not previewed.
7. Check what got dropped.
Industry, vertical and investor-type values are resolved against a controlled vocabulary. Anything that does not resolve comes back in a dropped-filters list rather than failing loudly. Read it. A search that silently ignored your industry filter is a much broader search than you think you ran.
8. Watch the ceiling.
Results cap at 10,000 rows. Hitting the cap means the real audience is larger than what you are seeing, so narrow before importing rather than taking an arbitrary slice.
9. Import into a named list.
Straight into a new or existing lead list, named after the ICP. From here it behaves like any other list: mergeable, splittable, ready for a campaign.
Database searches: do this, not this
Do this | Not this |
|---|---|
Investors from the database | Investors from a LinkedIn scrape |
Target sectors for what an investor funds | Sectors in the industries filter |
Read the preview sample properly | Import blind because the count looked right |
Check dropped filters every time | Assume every value resolved |
Leave email filters off for LinkedIn campaigns | Require verified email and lose 80 percent of the list |
Narrow when the count hits the cap | Import 10,000 and sort it out later |
Person location and company location chosen deliberately | Both set, cancelling each other out |
Questions people ask
What is a B2B prospecting database?
A searchable store of people and companies you can filter by title, seniority, industry, headcount and location to produce a contact list. Unlike a LinkedIn scrape it returns results immediately and costs no LinkedIn activity, but it cannot target behaviour.
Does searching the database use my LinkedIn daily limit?
No. A list built this way spends no LinkedIn account capacity at all, so it never eats into the 25 connection requests a day. Only sending does that.
Can I find investors on LinkedIn?
You can, but a database is the better source. Set company type to investor and use the investor-specific filters: investor type and target sectors. Sectors go in the target-sectors filter, never in industries, which describes the firm rather than what it funds.
You are done when
The search previewed and the sample matches the ICP
Dropped filters checked and none of them mattered
Result count under the cap and inside the target band
Leads imported into a list named after the ICP
No LinkedIn account capacity was spent getting here
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