Audience Demographics

Learn how to implement AI chatbots that can analyze audience demographics and provide strategic insights using the MCP server.

Audience Demographic Analysis

This example demonstrates a simple workflow to retrieve and analyze audience demographics across social media platforms using the MCP server.

Basic Workflow

Simple Example

User: List all my users

AI: [Calls get-users-by-tenant-app]
Here are all your users:

1. John Smith ([e-mail])
   - ID: user-123-abc-456-def
   - Created: January 15, 2025

2. Sarah Johnson ([e-mail])
   - ID: user-789-ghi-101-jkl
   - Created: February 3, 2025

User: List all user accounts Sarah Johnson has

AI: [Calls get-user-accounts with user_id]
Sarah Johnson ([e-mail]) has the following user accounts:

1. Instagram
   - ID: acct-456-insta-789
   - Platform Account ID: 123456789012345
   - Last refreshed: May 10, 2025
   - Status: Active

2. LinkedIn
   - ID: acct-789-lnkd-012
   - Platform Account ID: LinkedIn123
   - Last refreshed: May 9, 2025
   - Status: Active

User: Get the demographics for Sarah's Instagram account

AI: [Calls get-account-demographics with user_account_id]
Here are the demographics for Sarah's Instagram account:

Gender Distribution:
- Female: 63%
- Male: 37%

Age Breakdown:
- 18-24 years: 20%
- 25-34 years: 42% (largest age group)
- 35-44 years: 25%
- 45-54 years: 10%
- 55+ years: 3%

Geographic Distribution:
- United States: 55%
- United Kingdom: 15%
- Canada: 10%
- Australia: 8%
- Other countries: 12%

User: Compare the demographics between Instagram and LinkedIn

AI: [Calls get-account-demographics for both accounts]
Here's a comparison of demographics between Sarah's Instagram and LinkedIn accounts:

Instagram:
- Gender: 63% Female, 37% Male
- Primary Age Group: 25-34 (42%)
- Top Location: United States (55%)

LinkedIn:
- Gender: 54% Female, 46% Male
- Primary Age Group: 35-44 (38%)
- Top Location: United States (62%)

Key Differences:
- LinkedIn audience is more balanced in gender distribution
- LinkedIn audience is generally older (38% in 35-44 age range)
- LinkedIn has a higher concentration of US-based followers
- Instagram has more international diversity in audience

Implementation Steps

To implement demographic analysis functionality, follow these simple steps:

1. Get Users: Use get-users-by-tenant-app to retrieve all users

2. Get User Accounts: Use get-user-accounts with the selected user’s ID to retrieve their connected social media accounts

3. Get Demographics: Use get-account-demographics with the account ID to retrieve demographic data

4. Get Age Breakdown: Use get-audience-age-breakdown with the account ID for detailed age distribution

5. Present Analysis: Display the demographic data in a clear, organized format

Audience Demographic Data Types

When analyzing audience demographics, you can access these data types:

Data Type	Description	Available Breakdowns
Gender	Gender distribution of audience	Male, Female
Age	Age breakdown of audience	18-24, 25-34, 35-44, 45-54, 55+
Location	Geographic distribution	Countries, sometimes cities
Interests	Interest categories (when available)	Varies by platform
Activity Times	Peak engagement times (when available)	Time of day, day of week

Required MCP Tools

This implementation uses these tools:

• get-users-by-tenant-app - Lists all users
• get-user-accounts - Lists user’s social media accounts
• get-account-demographics - Gets gender and location distribution
• get-audience-age-breakdown - Gets detailed age demographic data

Advanced Analysis Techniques

Here are some ways to derive deeper insights from demographic data:

1. Cross-Platform Comparison: Compare demographics across different platforms to identify platform-specific strategies

2. Content Performance by Demographic: Analyze which content performs best with specific demographic segments

3. Demographic Trend Analysis: Track changes in demographics over time to identify growing audience segments

4. Audience-Content Alignment: Ensure content strategy aligns with the preferences of key demographic groups

5. Competitive Benchmarking: Compare your audience demographics to industry standards or competitors

Prompt Engineering Tips

When designing prompts for your AI assistant to handle demographic analysis, consider:

1. Data visualization descriptions - Describe charts or graphs in text to make the data more understandable
2. Comparative analysis - Enable comparisons between platforms, time periods, or industry benchmarks
3. Actionable insights - Don’t just present data; explain what it means and how to use it
4. Personalization level - Allow users to request different levels of detail or focus areas
5. Market-specific context - Consider regional or cultural context when interpreting demographic data