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Build Personas from Real Conversations

Build a research system that creates data-driven audience personas from actual social conversations.

The Problem

Your buyer personas are based on assumptions. Real audience insights live in social conversations.

Traditional research is expensive and slow

Survey responses don't reflect real behavior

Personas become outdated quickly

Competitor audience insights are unavailable

Focus groups tell you what people think they want. Social listening reveals what they actually discuss and care about.

The Agentic Workflow

SENSOR (XPOZ)

XPOZ monitors conversations in your market to identify discussion patterns

BRAIN (Claude)

Claude segments audiences by behavior, language, and interests

ACTOR (Execute)

Generates detailed persona profiles with supporting evidence

Example Queries

Simply ask Claude in natural language. Here are some examples:

> Who is discussing [product category] and what are their pain points?
> What language do early adopters use vs mainstream customers?
> Show me the different segments discussing sustainable products
> What do enterprise buyers vs SMB buyers care about?

Why XPOZ

No Platform API Keys Needed

Access Twitter, Instagram, TikTok, and Reddit data without obtaining API keys from each platform.

Natural Language Queries

Ask questions in plain English instead of writing complex API calls.

Unified Multi-Platform Access

One tool to query all major social platforms simultaneously.

Generous Usage Limits

Free tier includes 100K results/month. Pro plans scale to 10M+.

Frequently Asked Questions

Claude identifies patterns in language, concerns, and behavior to create distinct audience clusters.

Yes, compare your assumptions against actual conversation data to validate or refine personas.

Run quarterly refreshes to catch shifting audience dynamics and emerging segments.

Ready to Build Your Audience Researcher?

Get started with 100,000 free results per month. No credit card required.