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How does ProspectHalo discover and score prospects?

Understand how people become leads, what the Intent Score means and how to read the saved evidence.

Written by Umer Arif

ProspectHalo first finds possible matches, then checks them against your agent’s rules. Only people who pass the required checks can enter that agent’s normal discovery pipeline.

A search result is not yet a qualified lead

  1. The agent finds potential matches.

  2. It checks duplicates and available profile evidence.

  3. It checks person, company, location and exclusion rules.

  4. Suitable people can be added to the agent. Outreach still follows your settings.

Missing proof can hold someone back. This is why the number of search results can be higher than the number of added leads. Imports and selected lists can follow different paths.

What does the Intent Score mean?

The Intent Score is a ranking from 0 to 100. It combines profile fit, available signals and feedback.

It is not the chance of making a sale. A high score does not prove that a person wants to buy or should be contacted immediately.

Use the Intent Score as a ranking, not a buying guarantee.

Use the Intent Score as a ranking, not a buying guarantee. Sample data shown.

A score can use a fallback fit estimate when no active signal is available. Signals may include replies, engagement or job and company activity when available. Related signals, repeated activity and older evidence have limits on their effect.

The score is not the full sending order. It does not override a failed required check or account and sending rules.

Read the Qualification page

  1. Open a lead and select Qualification.

  2. Read the person and company checks, evidence and sources.

  3. Check when the assessment was saved.

  4. Read any warning about changed targeting or missing original details.

Qualification shows a saved assessment and the evidence behind it.

Qualification shows a saved assessment and the evidence behind it. Sample data shown.

Opening this page does not run a fresh verification. A saved evidence count is not necessarily a count of independent sources.

If the agent’s targeting changed, or the original rule history is missing, do not treat the old result as a confirmed match for the current audience.

When details are missing

A company having no recorded category is only one possible explanation. Missing history is not proof that the company matches your rules.

Website research and LinkedIn data are different sources. A missing field does not, on its own, prove a LinkedIn subscription restriction. Search filters vary by account tier.

If leads seem unsuitable, compare the saved rules and evidence before changing the audience. See the few-or-no-leads checklist for more help.

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