How to Analyse Audience Demographics with Claude
Analyse audience demographics with Claude and ToolRouter. Infer composition from name data.
Tool
Claude analyses demographic composition from a name list through a structured research conversation. Run bulk_enrich on your dataset, then ask Claude to summarise the composition, identify any notable imbalances, and suggest what the distribution implies for outreach segmentation or DEI reporting.
Connect ToolRouter to Claude
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
Steps
Once connected (see setup above), use the Name Enrichment tool:
- Provide your name list (CSV format or pasted names work)
- Ask: "Use name-enrichment to bulk_enrich these names and infer gender and origin for each"
- Claude returns enrichment data across the list
- Ask Claude to summarise the demographic composition and identify any notable patterns or gaps
Example Prompt
Try this with Claude using the Name Enrichment tool
I have a list of 50 customer names from our European user base. Use name-enrichment with bulk_enrich to infer gender and probable nationality for each. Then summarise the demographic composition — what is the gender distribution, the most common nationality clusters, and any notable gaps compared to our target market in Europe?
Tips
- Always treat the output as a probabilistic estimate rather than verified demographic data
- Ask Claude to flag the confidence level of the aggregated estimates, not just individual records
- Use composition analysis for research and segmentation decisions, not for individual-level assumptions