What you see in Visitor Insights
Visitor Insights is the core workspace for reviewing identified visitors and deciding what to do next.
| Column | What it helps you understand |
|---|---|
Name | Which person Leadpipe identified |
Job title | Seniority and role |
Emails | Known contact points |
Source | Where the visit came from |
Landing | The first page in the session |
Phone | Available phone data |
Location | Geographic context |
Recency | How recently the visitor was active |
Firmographics | Company size, industry, and revenue context |
What you can inspect inside a visitor record
Open a visitor to review the full profile and recent behavior. That can include:- full name and LinkedIn
- job title and professional profile
- personal and professional emails
- phone numbers
- company size, revenue, industry, and other firmographics
- sessions and visited pages
- technical activity such as scroll behavior and idle time
What the row states mean
Engaged
Engaged
Engaged is a row-level status that flags a stronger visitor signal than a basic one-off visit.Email Only
Email Only
Email Only means the record has an email-level identity but does not currently show the fuller named-person profile you see on richer rows.+N more
+N more
Values like
+2 more or +7 more mean Leadpipe has additional emails or phone numbers for that visitor beyond the primary value shown in the table.Read intent and engagement
Leadpipe surfaces intent signals so you can prioritize follow-up.High intent
High intent
Multiple sessions and high-value activity. This includes repeated pricing views or visits to demo or checkout pages.
Medium intent
Medium intent
Return visits or some high-value page activity. This usually means the visitor is worth watching or routing into a workflow.
Low intent
Low intent
A lighter signal, often a single session without pricing, demo, or checkout activity.
Use the filters sidebar

Professional & CompanyLocationAcquisitionIntent & Engagement
83 available data points for filtering.
For people-level location, Leadpipe primarily identifies city and state in the United States. When the company is elsewhere but the visitor was identified in the US, you can still see the US-based person-level location.
A simple review flow
- Start with the current date range and pixel you care about.
- Scan the table for recent visitors, strong sources, and relevant landing pages.
- Open the strongest records to inspect the full profile and session activity.
- Add filters to narrow the list.
- Save the result as a view or segment once it becomes reusable.
Start simple
Use the default table first. Then narrow the data with filters once you understand what healthy traffic looks like for your site. Focus on:- Recency, so you act on fresh visits
- Landing pages, so you know where interest started
- Source, so you can tie visitor quality back to acquisition
- Firmographics, so you can prioritize the right accounts
Next steps
- Use Filter, save views, and segments to turn this data into repeatable workflows.
- Use Set up integrations when you want visitor data to flow into external tools.