How can brands leverage user interests for community growth?

Leveraging user interests within the Brand Control Center allows brands to build highly relevant, engaging, and scalable communities. This matters because:

• Stronger community engagement: Users see content aligned with what they care about
• Faster community growth: Interest-based discovery improves join rates
• Better retention: Relevant experiences keep users active for longer
• Smarter content distribution: AI prioritizes content based on user preferences
• Higher monetization potential: Interest-driven targeting improves ad and sponsorship performance

Guide: Step-by-step usage

Capture user interests

To leverage interests, you first need to collect them:

1. Enable user profile and interest capture via SDK or onboarding flows
2. Allow users to:
   • Select topics during onboarding
   • Follow communities/groups
   • Engage with content (implicit interest signals)

Note: Interests can be both:

• Explicit (user-selected)
• Implicit (based on behavior like watch time, likes, shares)

Enable interest-based data in Brand Control Center

This allows the Brand Control Center to:

• Aggregate user preferences
• Continuously update interest profiles using AI

Auto-create and optimize communities

Using interest signals:

• Brand Control Center can auto-curate communities and groups
• Content is categorized into relevant interest clusters
• New communities may be created dynamically based on emerging trends

Example: Users engaging with fitness videos → auto-grouped into a “Fitness & Wellness” community

Personalize content and feeds

Interest data powers:

• Feed personalization: Users see relevant videos first
• Community recommendations: Suggested groups based on interests
• Content ranking: High-interest content gets priority visibility

Drive growth through targeting

Use interest segmentation to:

• Run targeted campaigns for specific audiences
• Promote communities to users with matching interests
• Send personalized notifications to boost engagement

Measure and refine

1. Go to Analytics Dashboard in Brand Control Center
2. Track:
   • Engagement by interest category
   • Community growth trends
   • Content performance per interest

Use insights to:

• Refine content strategy
• Create new communities
• Optimize targeting

Specs & Limitations

System Behavior

• Interests are continuously updated using AI + user actions
• Supports both explicit and implicit interest signals
• Feeds and communities dynamically adapt based on interests

Validation Rules

• Requires user interaction or onboarding input to generate interest data
• Interest mapping depends on content tagging and classification
• AI models improve accuracy over time

Limitations

• Cold-start users may have limited personalization initially
• Incorrect tagging can impact interest classification
• Over-segmentation may lead to fragmented communities

Example Scenario (Use Case)

A lifestyle brand wants to grow its Community Media Network across multiple categories.

• They enable interest tracking in Brand Control Center
• Users interact with content across fitness, fashion, and food
• Brand Control Center automatically:
  • Segments users by interest
  • Recommends relevant communities
  • Personalizes feeds

Result:

• Higher community joins
• Increased engagement
• Scalable, interest-driven growth

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