Algorithmic Engagement

Identify
Algorithmic detection of relevant and social friendly stakeholders (leads and key opinion leaders, investors, reporters)
Create
Generate relevant algorithmic content to build your presence and reputation
Sift
Continuously analyze stakeholders’ activities to detect the best opportunities to open a conversation
Converse
Drive meaningful conversations on your topics with relevant stakeholders
Track and Measure
Measure number of active relations with stakeholders, number of conversations and engagement level
Previous
Next

Model

  • Discover stakeholders, conversations and content​
  • Collect and normalize millions of data points generated by stakeholders
  • Continuously update model with new data points

Analyze

  • Prioritize and rank modeled entities – people, conversations, content, links, …
  • Add higher level information such as concepts

Engage

Daily suggestions of content and engagement opportunities​ including:

    • Stakeholders to converse with
    • Conversations to participate in
    • What to say in selected conversations
    • Algorithmic content pieces to post to gain reputation

Measure

Measure quality of relationship and traction

  • Relationship strength
  • Conversion Ratios
  • Interest in your topics among stakeholders over time
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