Influence Model

Soully’s ML Model ensures that the measurement of influence is both trustless and transparent by leveraging multiple data sources. Here are the key factors that contribute to redefining influence:

On-Chain Interactions

• Transactions: The algorithm tracks interactions recorded on the blockchain, such as transfers, contracts executed, and other activities. These interactions provide verifiable and tamper-proof evidence of an individual’s activity and engagement in the decentralized ecosystem.

• Credential Verification: On-chain credentials, such as participation in DAOs (Decentralized Autonomous Organizations) or contributions to open-source projects, are also considered. These credentials help establish the individual’s credibility and expertise within the community.

Social Media Activities

• Engagement Metrics: The algorithm collects data on likes, shares, comments, and other engagement metrics from various social media platforms. These metrics indicate the level of interaction and interest generated by the influencer’s content.

• Follower Growth: Tracking the growth and activity of followers provides insight into the influencer’s reach and impact over time. This includes metrics like new followers gained, active followers, and follower retention rates.

Marketing Performance

• Campaign Effectiveness: The algorithm evaluates the success of marketing campaigns by analyzing conversion rates, click-through rates, and other performance indicators. Effective campaigns demonstrate the influencer’s ability to drive desired outcomes.

• Revenue Generation: The financial impact of the influencer’s marketing efforts, such as sales generated or funds raised through promotions, is also a critical factor. This measures the direct economic value the influencer brings to marketing initiatives.

Community Engagement

• Fan Support: The level of support from fans, including direct interactions, endorsements, and contributions to support pools, is measured. High levels of fan support indicate strong community backing and influence.

• Participation in Community Activities: Engagement in community activities, such as hosting events, participating in discussions, and contributing to community projects, is tracked. Active participation showcases the influencer’s involvement and leadership within the community.