> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getpg.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Contact Intelligence

> AI-powered insights about each person

Contact Intelligence surfaces AI-powered insights about each person at your target accounts. Go beyond the job title to understand their background, expertise, likely role in a purchase decision, and recent activity. AI builds a profile of what matters to each person, what they care about, and how they fit into your deal.

<div className="my-8">
  <iframe src="https://www.tella.tv/video/20-contact-intelligence-0sni/embed?b=0&title=0&a=1&loop=0&t=0&muted=1&wt=0" className="w-full rounded-xl" style={{ aspectRatio: "16 / 9", border: 0 }} allow="autoplay; fullscreen; picture-in-picture" allowFullScreen />
</div>

<Info>
  Contact Intelligence combines professional history, job posting data, content engagement signals, organisational context, and AI analysis to build a complete picture of each contact - far richer than what any job title or firmographic database can tell you.
</Info>

## How It Works

<Steps>
  <Step title="AI Analyzes Professional Background">
    The system ingests LinkedIn profiles, career history, previous roles, companies, and tenure to understand someone's experience and expertise.
  </Step>

  <Step title="Cross-References Context">
    Account intelligence (strategic priorities, technology initiatives, hiring patterns) is matched against individual profiles to determine relevance and likely buying role.
  </Step>

  <Step title="Builds Expertise Signals">
    AI identifies skills, technologies, industry knowledge, and domain expertise based on career history, current role, and professional activity.
  </Step>

  <Step title="Determines Buying Role">
    Using account context, purchase cycle patterns, and role signals, AI determines whether someone is likely a decision-maker, influencer, champion, stakeholder, or end user.
  </Step>

  <Step title="Captures Activity Signals">
    Recent job changes, new hires in their team, content engagement, LinkedIn activity, and company announcements provide up-to-date context about someone's current priorities.
  </Step>
</Steps>

## What Intelligence Reveals

<CardGroup cols={2}>
  <Card title="Professional Background" icon="briefcase">
    Career history, previous companies, roles, tenure, education. Understand where someone comes from and how they got to where they are today.
  </Card>

  <Card title="Expertise & Skills" icon="sparkles">
    Technical skills, domain expertise, industry knowledge. What does this person actually know about - and what problems are they likely trying to solve?
  </Card>

  <Card title="Buying Role" icon="chart-line">
    Decision-maker, influencer, champion, stakeholder, or end user. What's their likely role in a purchase decision for your solution?
  </Card>

  <Card title="Relevance to Your Account" icon="target">
    How does this person's background and role align with the account's strategic priorities, hiring patterns, and technology investments?
  </Card>

  <Card title="Recent Activity" icon="zap">
    New hires, promotions, job moves, content engagement, company announcements. What's changed recently that might create urgency or opportunity?
  </Card>

  <Card title="Likely Messaging Angles" icon="speech-bubble">
    AI-powered suggestions for what might resonate with this person based on their background, role, account context, and strategic priorities.
  </Card>
</CardGroup>

## Key Capabilities

**Persona Assignment:** Contacts are automatically matched to pre-built personas (CRO, CFO, Chief Data Officer, VP Sales, etc.) or custom personas you define in Settings. This helps you group people by role and reach the right buyers.

**Background Intelligence:** Career timeline showing previous companies, roles, and tenure. Understand someone's experience level and how their background prepares them to evaluate your solution.

**Expertise Extraction:** AI identifies technical skills, industry knowledge, and functional expertise from career history and current role. This helps you personalise your value proposition.

**Buying Role Prediction:** Machine learning models trained on successful deals predict whether someone is likely a decision-maker, influencer, champion, or stakeholder for your specific solution.

**Activity Monitoring:** Recent job changes, promotions, new hires in their team, and company news trigger updates to contact intelligence, signalling potential deal opportunities.

**Content Engagement Signals:** When available, engagement with your company's content, website visits, webinar attendance, and other signals inform intelligence and help you personalise outreach.

## Using Intelligence for Better Conversations

**Personalise Your Approach:** Use background and expertise insights to tailor your messaging. A VP with a data science background will respond differently than one who came up through sales operations.

**Identify Champions:** Contacts whose background aligns with your solution's value and whose role suggests influence are ideal champions to recruit early in the deal.

**Spot Buying Signals:** Recent promotions, new hires into roles that matter for your solution, or company announcements about new initiatives often signal buying intent.

**Build Multi-Threaded Relationships:** Understand what each person cares about. This helps you know who to loop in for different conversations - technical for engineers, financial for CFO, business impact for executives.

**Avoid False Starts:** Intelligence reveals who is and isn't a relevant contact. This helps you focus effort on real buying-side stakeholders and avoid wasting time on people who aren't decision-makers.

## Tips and Best Practices

* **Use buying role signals to prioritise:** Focus your effort on decision-makers and champions first. Intelligence shows you who actually influences purchases in your solution area.

* **Match background to your value proposition:** A contact with a background in operational efficiency is more likely to buy a cost-reduction tool than one with pure technical background.

* **Combine with account intelligence:** Use account strategic priorities to interpret individual intelligence. Someone's background might signal buying potential only if the account is pursuing relevant strategic goals.

* **Personalise at scale:** Intelligence makes it possible to personalise outreach for hundreds of contacts. Use it to customise emails, discovery questions, and value angles by person.

* **Monitor activity signals:** Recent activity - job moves, promotions, new hires - are the best buying signals. Use these to time outreach and spike conversations.

<Warning>
  Contact Intelligence is probabilistic, not definitive. AI predictions about buying role and relevance are most accurate when combined with your sales expertise and account knowledge. Use intelligence as a research tool, not a replacement for conversation.
</Warning>

## Related Modules

<CardGroup cols={3}>
  <Card title="Contact Discovery" icon="magnifying-glass" href="/contact/discovery">
    Discovery finds the people; Intelligence tells you which ones matter most and why.
  </Card>

  <Card title="Contact Enrichment" icon="envelope" href="/contact/enrichment">
    Enrichment provides verified contact details; Intelligence provides context about who that person is and what they care about.
  </Card>

  <Card title="PG:AI Studio" icon="message" href="/studio/overview">
    Studio uses Contact Intelligence to personalise conversation threads, value propositions, and discovery questions for each person.
  </Card>
</CardGroup>