Build Personas from Real Conversations
Stop guessing who your customers are. Build data-driven buyer personas from thousands of real social media conversations using Xpoz MCP and Claude AI.
The Problem
Traditional persona development relies on surveys, focus groups, and educated guesses. Meanwhile, your actual audience is having unfiltered conversations about their problems, preferences, and purchasing decisions every day on social media.
Survey fatigue produces shallow insights
- Respondents give quick answers that don't reflect real behavior or language patterns
Focus groups attract outliers
- The people willing to participate rarely represent your broader audience
Assumptions compound over time
- Personas built on guesswork drift further from reality with each revision
Static documents become stale
- Annual persona updates can't keep pace with shifting market dynamics
Cross-platform blindness
- Your audience behaves differently on Twitter versus Instagram, but most research captures only one channel
The Workflow
Building audience personas from real conversations requires three components working together: data collection, pattern recognition, and synthesis.
Example Queries
Ask Claude in natural language. Here are some examples with the underlying API calls:
Discover topic experts and power users
>"Using getTwitterUsersByKeywords, search for users posting about "customer success" AND ("SaaS" OR "B2B") with fields: username, name, followersCount, description, relevantTweetsCount, relevantTweetsLikesSum"
Analyze conversation themes
>"Using getTwitterPostsByKeywords, search for "switched from [competitor]" OR "moved to [competitor]" with fields: text, authorUsername, likeCount, hashtags, createdAtDate"
Map audience demographics by engagement
>"Using getInstagramPostInteractingUsers on a viral industry post, get commenters with fields: username, fullName, biography, followerCount, isVerified"
Track language evolution
>"Using countTweets, measure mentions of "no-code" versus "low-code" from 2024-01-01 to 2025-12-31"
Why XPOZ
No Platform API Keys Needed
Access Twitter and Instagram data through a single Model Context Protocol connection. Skip the approval processes, rate limit negotiations, and credential management.
Natural Language Interface
Ask Claude to find your audience in plain English. The MCP server translates your questions into optimized queries across platforms, returning structured data ready for analysis.
Real Behavioral Data
Move beyond self-reported survey responses to actual posting behavior, engagement patterns, and language usage that reveal authentic preferences.
Cross-Platform Synthesis
Build unified personas that account for how the same audience segments behave differently across social platforms, producing more nuanced and accurate profiles.
Continuous Validation
Unlike annual persona projects, you can re-run queries monthly or quarterly to track how your audience segments evolve and catch shifts early.
Frequently Asked Questions
Claude analyzes patterns in language, concerns, hashtag usage, and engagement behavior across the conversation data. Users discussing the same topic but using different terminology, expressing different pain points, or engaging at different frequencies naturally cluster into segments. You can guide this by specifying the dimensions that matter most for your business.
Yes. Search for conversations matching your existing persona descriptions, then compare what you find against your assumptions. You may discover your "enterprise buyer" persona actually skews toward mid-market, or that a segment you hadn't considered appears frequently in the data.
It depends on your market velocity. Fast-moving spaces like AI tools or consumer apps benefit from monthly checks. More stable B2B markets might update quarterly. The ease of re-running queries through Xpoz MCP makes frequent validation practical rather than a major project.
Expand to adjacent conversations. People discussing the problem your product solves, or the outcomes they want, provide equally valuable persona data even if they never mention your category by name.
Xpoz returns data from public conversations and profiles. Private accounts naturally won't appear, but the volume of public social data typically provides sufficient signal for persona development.
Get Started
Connect Xpoz MCP to Claude in under two minutes. Open Settings in Claude.ai or Claude Desktop, navigate to Connectors, and add `https://mcp.xpoz.ai/mcp` as a custom connector. Your free tier includes 100,000 results per month—enough to build comprehensive personas for multiple market segments. No credit card required, no API keys to manage. Start with a simple query: ask Claude to find people discussing your product category and see what patterns emerge.
Open Claude settings and navigate to Connectors
Add a custom connector with URL: https://mcp.xpoz.ai/mcp
Authenticate with your account
Your first 100,000 results each month are free—no credit card required.
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Ready to Build Your Build Personas from Real Conversations?
Get started with 100,000 free results per month. No credit card required.