Improving Contact Discovery and Persona Accuracy in Campaigns

Last updated: April 24, 2026

When running campaigns, you may encounter issues with contact discovery and persona accuracy, such as missing contacts for companies that exist on LinkedIn, mismatched job titles, or empty accounts. This article provides strategies to optimize your persona configuration and improve targeting accuracy.

Understanding Contact Selection Logic

When using the 'use existing contacts in CRM or find new' option in prospect nodes, the system only selects existing CRM contacts if their job titles match your persona targeting criteria. This requires exact or close title alignment between your persona configuration and existing CRM contact job titles.

Additionally, verify that the “Include Existing People” (or “Use existing people in Unify/CRM”) setting is enabled in your Prospect node. When this setting is disabled, contacts already in your Unify/CRM will be excluded from prospecting results, which can result in “0 people found” even when relevant contacts exist in your system.

If existing contacts in your CRM have titles that don't align with your persona's included titles, they will be filtered out and you may see '0 people found' results, even though contacts exist for those accounts.

Common mismatches include:

  • Targeting executive-level roles (business development, partnerships, fintech executives) while having operational contacts (product management, infrastructure, client support) in your CRM

  • Targeting operational roles while having executive contacts in your CRM

Advanced Persona Optimization Strategies

Tighten Persona Configuration

Add Explicit Exclusions:

  • Use "Excluded titles" to prevent fuzzy matching issues by adding terms like "Revenue Operations," "RevOps," "Growth," "Product Led Growth," "Operations," "Marketing"

  • Be careful with broad exclusion terms - geographic exclusions like 'CO' for Colorado can inadvertently exclude important titles like 'Co-founder'

Include Title Variants:

  • Add explicit title variants in "Included titles" as separate entries rather than relying on fuzzy matching

  • Include both abbreviated and full title variants (e.g., "CTO" and "Chief Technology Officer," "Head of Engineering," "VP Engineering")

  • Fuzzy matching analyzes keywords and order, so explicit variants improve accuracy

Optimize Prospecting Methods

For better email quality, select the 'find the best matches' prospecting method option, which checks for the cleanest and most up-to-date email addresses during enrichment.

  • Ensure “Include Existing People” is enabled in your Prospect node settings to consider contacts already in your Unify/CRM before making external prospecting calls

Manage Persona Priority

  • List personas in order of preference in your Prospect action - the system searches personas sequentially and prefers earlier ones

  • If limits aren't met for the first persona, the system moves to the next persona in the list

  • For hard caps per persona, create separate Prospect actions with individual max caps or run parallel Prospect nodes

Add Qualification Gates

Insert an AI qualification step before enrollment to validate role relevance:

  • Example qualification: "Is this person an engineering leader such as CTO/Head/VP Engineering?"

  • Only enroll contacts if the qualification step passes

  • Use qualification gates to confirm specific role requirements before enrollment

Troubleshooting and Diagnostics

Using the Persona Builder Preview

The persona builder includes a preview section that shows the specific number of people and types of titles that would match each persona based on your CRM data. Use this preview to:

  • Validate your targeting before running plays

  • Identify potential issues with your persona configuration

  • Review matched titles to ensure they align with your intended targets

Using Execution Logs

Check your Play's Execution Logs for specific companies to see Prospect action output:

  • Logs show why specific titles were selected and which persona matching logic was applied

  • Review match details and persona fallthrough reasoning to understand unexpected results

  • Use log insights to identify which exclusion terms to add and where to adjust persona ordering

Diagnosing Fuzzy Matching Issues

When irrelevant titles appear:

  • Examine if partial keyword matches are causing the issue

  • Look for common keywords between your intended targets and the matched titles

  • Add specific exclusion terms to prevent these partial matches from qualifying

Understanding Provider Coverage Limitations

External prospecting providers may have limited or no data for certain company types, including:

  • Newer or smaller companies

  • Niche or specialized organizations

  • Companies with non‑standard organizational structures

This is a known limitation that can result in “no people found” outcomes even with properly configured personas. If you consistently see zero results for specific company segments, consider whether provider coverage gaps may be a factor.

By combining proper persona configuration, strategic ordering, qualification gates, and diagnostic tools, you can ensure the right prospects reach the intended personas and improve overall prospecting accuracy.