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Fan Scoring & Classification System

Learn how the scoring works, what the classifications mean, and how to use this data to optimize your audience strategy.

Ethan Monkhouse avatar
Written by Ethan Monkhouse
Updated over 4 months ago

Understanding Fan Scores

What is Fan Scoring?

Fan scoring is NAVIRO’s proprietary algorithm that evaluates each follower based on:

  • Engagement Quality: Type and depth of interactions with your content

  • Consistency: Regularity of engagement over time

  • Influence: The follower’s own reach and engagement on the platform

  • Relevance: How well the follower aligns with your target audience

  • Authenticity: Indicators that the follower is a real, active user

Score Range and Meaning

Fan scores range from 0-100:

  • 90-100: Exceptional fans with highest value and engagement

  • 75-89: High-value fans with strong engagement and relevance

  • 60-74: Good fans with moderate engagement and alignment

  • 40-59: Average fans with basic engagement

  • 20-39: Low-engagement fans with minimal interaction

  • 0-19: Inactive or potentially problematic followers

Fan Classification Types

SUPER Fans (Score: 85-100)

Characteristics:

  • Consistently engage with your content within hours of posting

  • Leave thoughtful, meaningful comments that add value

  • Share your content to their stories and with their networks

  • Have high engagement rates on their own content

  • Demonstrate strong brand alignment and advocacy

Typical Behaviors:

  • Comment with detailed responses and questions

  • Share content multiple times across different formats

  • Tag friends and encourage others to follow you

  • Participate actively in live sessions and community events

  • Create user-generated content featuring your brand

Strategic Value:

  • Brand ambassadors and word-of-mouth promoters

  • High lifetime value and conversion potential

  • Community leaders who influence other followers

  • Valuable feedback providers for content and strategy

ACTIVE Fans (Score: 65-84)

Characteristics:

  • Regular engagement with your content (weekly to bi-weekly)

  • Mix of likes, comments, and occasional shares

  • Moderate to high engagement on their own content

  • Good alignment with your target audience demographics

  • Responsive to calls-to-action and community initiatives

Typical Behaviors:

  • Like most of your posts and comment occasionally

  • Share content that particularly resonates with them

  • Participate in polls, questions, and interactive content

  • Respond to direct outreach and community building efforts

  • Show interest in your products, services, or offerings

Strategic Value:

  • Reliable engagement base for consistent performance

  • Potential to evolve into SUPER fans with nurturing

  • Good candidates for community building initiatives

  • Responsive to targeted campaigns and offers

RISING Fans (Score: 45-64)

Characteristics:

  • Increasing engagement over time

  • Newer followers or those becoming more active

  • Moderate alignment with your target audience

  • Growing influence or engagement on their own content

  • Showing signs of deeper interest in your brand

Typical Behaviors:

  • Recently started engaging more frequently

  • Engagement quality is improving over time

  • Beginning to share and save your content

  • Showing interest in your brand story and values

  • Responding to community building efforts

Strategic Value:

  • High potential for growth into ACTIVE or SUPER categories

  • Good targets for nurturing and engagement campaigns

  • Indicators of successful content strategy changes

  • Opportunities for early relationship building

Scoring Methodology

Engagement Quality Factors

Comment Analysis

  • Length and thoughtfulness of comments

  • Use of relevant keywords and topics

  • Questions and conversation starters

  • Emotional engagement and personal connection

Interaction Types

  • Likes: Basic engagement (lower weight)

  • Comments: Medium engagement (moderate weight)

  • Shares: High engagement (higher weight)

  • Saves: Very high engagement (highest weight)

  • Story interactions: Premium engagement

Timing and Consistency

  • Speed of engagement after posting

  • Consistency of interaction over time

  • Engagement across different content types

  • Participation during different posting times

Relevance and Alignment

Demographic Matching

  • Age, location, and interest alignment

  • Professional background relevance

  • Lifestyle and value indicators

  • Language and cultural alignment

Content Affinity

  • Engagement with specific content topics

  • Response to different content formats

  • Interaction with industry-related content

  • Alignment with your content pillars

Influence and Reach

Follower Quality

  • The fan’s own follower count and engagement rate

  • Quality of their audience and content

  • Influence within your shared niche or industry

  • Potential reach for shared content

Network Effects

  • Connections to other high-value followers

  • Influence within relevant communities

  • Potential for viral content distribution

  • Cross-platform presence and influence

Score Reasoning and Insights

Understanding Score Breakdowns

Each fan’s score includes detailed reasoning:

Bio Analysis

  • Keywords and phrases in their profile

  • Professional background indicators

  • Interest and hobby mentions

  • Brand affinity signals

Content Analysis

  • Quality and relevance of their own posts

  • Engagement patterns on their content

  • Topics and themes they create about

  • Visual style and aesthetic alignment

Username and Profile Indicators

  • Professional vs. personal account signals

  • Industry or niche-specific usernames

  • Verification status and credibility indicators

  • Account age and authenticity signals

Engagement Pattern Analysis

  • Frequency and timing of interactions

  • Quality progression over time

  • Response to different content types

  • Participation in community activities

Using Fan Classifications Strategically

Content Strategy by Fan Type

SUPER Fan Content

  • Exclusive behind-the-scenes content

  • Early access to announcements and launches

  • Personal stories and deeper brand insights

  • Community leadership opportunities

ACTIVE Fan Content

  • Educational and valuable content

  • Interactive polls and questions

  • Shareable and save-worthy posts

  • Community building initiatives

RISING Fan Content

  • Accessible, engaging content

  • Clear value propositions

  • Welcoming community messages

  • Opportunities for increased engagement

Engagement Strategies

SUPER Fan Engagement

  • Personal responses to comments

  • Direct outreach and relationship building

  • Exclusive community access

  • Collaboration and partnership opportunities

ACTIVE Fan Engagement

  • Consistent acknowledgment and responses

  • Group engagement initiatives

  • Targeted content based on interests

  • Conversion-focused campaigns

RISING Fan Engagement

  • Welcoming and encouraging responses

  • Easy entry points for deeper engagement

  • Educational content to build interest

  • Progressive value delivery

Monitoring Score Changes

Tracking Fan Evolution

Positive Progression

  • RISING fans moving to ACTIVE status

  • ACTIVE fans becoming SUPER fans

  • Overall score improvements across your audience

  • Increased engagement quality and consistency

Warning Signs

  • SUPER fans dropping to ACTIVE status

  • Declining scores across fan segments

  • Reduced engagement quality or frequency

  • Increased inactive or low-scoring followers

Factors Affecting Scores

Content Strategy Changes

  • New content formats or topics

  • Posting frequency adjustments

  • Engagement strategy modifications

  • Community building initiatives

External Factors

  • Platform algorithm changes

  • Seasonal engagement variations

  • Industry trends and events

  • Competitive landscape shifts

Optimization Strategies

Improving Fan Scores

Content Quality Enhancement

  • Create more engaging, valuable content

  • Optimize content for your highest-scoring fans

  • Develop content series that build anticipation

  • Focus on formats that generate high-quality engagement

Community Building

  • Respond personally to high-scoring fans

  • Create exclusive experiences for top fans

  • Foster connections between community members

  • Acknowledge and celebrate fan contributions

Engagement Optimization

  • Post when your highest-scoring fans are most active

  • Use calls-to-action that encourage quality engagement

  • Create content that naturally generates discussion

  • Respond promptly and meaningfully to interactions

Growing High-Value Fan Segments

Attracting Similar Audiences

  • Analyze characteristics of your SUPER and ACTIVE fans

  • Create content that appeals to similar demographics

  • Use hashtags and topics that attract quality followers

  • Collaborate with accounts that have similar high-value audiences

Nurturing Rising Fans

  • Identify fans with improving scores

  • Provide additional value and attention to rising fans

  • Create pathways for increased engagement

  • Recognize and reward engagement improvements

Best Practices for Fan Management

Regular Analysis

  • Weekly: Monitor score changes and trends

  • Monthly: Analyze fan classification distribution

  • Quarterly: Review scoring methodology effectiveness

  • Annually: Assess long-term fan development success

Strategic Focus

  • Prioritize quality over quantity in follower growth

  • Invest more time and resources in high-scoring fans

  • Create strategies to nurture rising fans

  • Identify and address factors causing score declines

Data-Driven Decisions

  • Use fan scores to inform content strategy

  • Adjust engagement approaches based on fan classifications

  • Measure the impact of strategy changes on fan scores

  • Optimize for long-term fan value rather than short-term metrics

Next Steps

  • Review your current fan score distribution and classifications

  • Identify patterns among your highest-scoring fans

  • Develop targeted strategies for each fan classification

  • Monitor score changes and optimize based on results

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