This article is one of the 5 part series explaining Favikon's scoring & ranking algorithm in detail. See all articles here:

‍

1. Favikon Methodology | Tiers

2. Favikon Methodology | Algorithm

3. Favikon Methodology | Authority Score

4. Favikon Methodology | Influence Scores

5. Favikon Methodology | Authenticity Score

‍

‍

Favikon Methodology

‍

The Authority Score ⭐

‍

The cumulative “Authority Score” is the sum of points calculated based on different criteria (audience, engagement, views) across various social media platforms of a creator.

‍

Authority Score Tiers 🎖️

‍

The Favikon Authority Score categorizes influence into 10 distinct levels, each representing a different degree of social media impact. This article breaks down what each tier signifies in terms of influence and reach.

‍

‍

Primary Metrics (A, E, V) 🧩

The score is divided into three main metrics:

A. Audience (A)

B. Engagement (E)

C. Views (V)

Each of these has a weight, impacting the overall score.

The final “Authority Score” is calculated by summing up the points across these three categories, resulting here (refer illustration)in a total score of 6,339.

This scorecard evaluates social media influence by considering followers (audience), interactions (engagement), and views (visibility). It highlights areas for improvement in influence. Metrics are based on the centile system, which divides data into 100 equal parts, where each centile represents 1% of the distribution. For instance, the 20th centile shows that 20% of the data falls below that point.

‍

‍ 

Key Metrics

• Total Audience: 32K followers

• Total Engagement: 1.2K interactions

• Total Views: 12.9K views

Scoring Levels

Each category (Audience, Engagement, Views) has a corresponding threshold, with a maximum possible threshold of 10,000.

• Audience Threshold: 5,943 (Next threshold at 11 followers gained)

• Engagement Level: 6,701 (Next level at 1.262K additional engagement)

• Views Level: 6,380 (Next level at 12.986K additional views)

‍

Points Allocation

Each level contributes points towards the total Authority Score:

• Audience Points (A)= 2002

• Engagement Points (E)= 2209

• Views Points (V)= 2127

Authority Score

Authority Score is derived from the sum of these 3 components (A+E+V).

Authority Score = Points (A) + Points (E) + Points (V)

‍

‍

Score Recalibration (D)

Bonus 👍

We reward certain behaviors, and we'd love to share what they are, but for now we would like to keep it a bit secret🤫.

Penalty 👎

Score recalibration is an AI-powered feature designed to ensure a more accurate and meaningful representation of a creator's influence. It identifies and adjusts for rapid growth patterns that may not reflect long-term, organic engagement. Some creators may experience sudden spikes in followers or engagement through tactics like joining specific cohorts or reusing visuals, which can take advantage of social media algorithms.

By recalibrating scores, the AI helps temper these spikes, ensuring that rankings remain a true reflection of consistent and relevant influence. This process isn't a penalty but rather a way to maintain fairness, so creators who engage in sustainable growth strategies are recognized for their true impact. It's all about making sure the rankings highlight creators who truly connect with their audience over time, rather than those with a short-lived surge in numbers.

‍

Final Authority Score ⭐

Final Authority Score = A(Audience) + E(Engagement) + V(Views) ± D(Recalibration)

‍

Where:

• A represents the Audience score,
• E represents the Engagement score,
• V represents the Views score,
• D represents any Recalibration (positive or negative) that may apply.

‍

Summary

The Authority Score is a comprehensive metric designed to measure a creator’s social media influence based on key factors like audience size, engagement, and views. It adds significant value by helping brands identify impactful creators and offering creators insights into their digital presence. The score promotes transparency and fairness across platforms. However, in rare cases, there may be statistical deviations from best practices that do not fully capture a creator’s true influence. We sincerely apologize for any such instances and are committed to constantly improving the system to best reflect a creator's authority.