The Waterfall People Search enrichment finds leads from a company domain and lets you filter by job title, seniority, and keywords.
It is designed for lead generation teams who want to go from an account list to matching contacts without leaving their spreadsheet workflow.
What makes this a good lead search workflow?
This enrichment supports structured people search with:
- Company domain input
- Country filter
- Up to 3 returned contacts per company
- Waterfall search logic with fallback criteria
- Preview mode without email
- Full profile mode with work email
- Cache-age control to reuse prior results
That makes it useful for account-based prospecting when you want more precision than a broad people database search.
Step-by-step guide
Step 1: Import your account list
Upload your CSV or Excel file into Datablist.
Step 2: Select "Waterfall People Search"
Open Enrich and choose the search enrichment.
Step 3: Map the company domain and define filters
Set the company domain input, then define one or more search blocks with job titles, departments, seniority, and other filters.
Datablist tries Search #1 first. If it finds no result, it can fall back to Search #2 and Search #3. This is useful when you want a tight query first, then a broader one.
What the enrichment returns
Depending on the selected result type, it can return:
- First name
- Last name
- Full name
- LinkedIn URL
- Profile summary
- Job title
- Job start date
- Seniority
- City, region, country
- Company LinkedIn page
- Work email in full-profile mode
This lets you decide whether you want a lower-cost preview pass or a full lead with email.
Good fits
- Find leads inside target accounts
- Build prospect lists from website or domain datasets
- Add preview contact data before deciding on full enrichment
- Search for several job-title variants without rebuilding the workflow
Pricing and example
- 30 credits for preview data
- 100 credits for full data with email
- No charge if no result is found
Example:
- 1,000 preview matches cost 30,000 credits
- 1,000 full matches with email cost 100,000 credits
This model is useful when you want to preview fit first, then pay for email coverage on the rows worth keeping.