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Turning Social Media Into Transactions

Turning Social Media Into Transactions. November 19, 2009. Why are we here today?. Partnership. Ken Hertz Objective Increase Revenues Improve eCPM and ecommerce conversion. Ken Hertz Key Implications.

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Turning Social Media Into Transactions

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  1. Turning Social Media Into Transactions November 19, 2009

  2. Why are we here today?

  3. Partnership

  4. Ken Hertz ObjectiveIncrease RevenuesImprove eCPM and ecommerce conversion

  5. Ken Hertz Key Implications • How do we add more engaging content to our site, so we don’t lose users to places like Twitter? • How do we get more content that drives SEO, and improve our Quality Score? • How do we remains RealTime relevant about the topics we serve? • How do we pre condition your audience users better before they get to the registration page • How do create additional distribution lists to distribute our latest offers?

  6. How Social Approach Will Help!

  7. The Common Language Lead generation / SEO Social Approach Domains; Branded Websites Social Media

  8. Syzygy and Solution Lead generation / SEO Social Approach Domains; Branded Websites Social Media

  9. Social Approach RealTime Platform • Discover and distill all discussions and sentiment about the Ken Hertz related topics • Filter and score the conversations for relevancy • Moderation tools for editor and domain experts • Create dynamic RealTime web properties that will be consumed in many formats • Provide engagement tools to communicate and enable action for the community

  10. Is a Pattern Recognition Learning Platform

  11. Transforming Data To Actionable Information Searchable Social Web

  12. Our Magic

  13. Our Magic

  14. What Will The Solution Look Like?

  15. Social Media Content Unit

  16. Media Property Social Media Ad Unit

  17. Widget based Ad Unit Social Media Ad Unit Ad location On Rollover Popups with ads and Contextual Links Another prime ad unit Contextual links

  18. Bigger, below the fold Content Unit

  19. Topic Hub – Multiple Widgets

  20. Simple Setup

  21. Wizard based Content Search

  22. Cyborg Persona Engine

  23. Social Approach “persona”

  24. Participate & Establish Credibility

  25. Deploy Topic Hub – Direct Traffic

  26. Demo

  27. Next StepsHow we engage

  28. Possible Social Fabric Engagements • Beta agreement to build the solution together • Infuse RealTime stream into existing Ken Hertz sites as widgets • Create separate, dynamically created “social” Topic Hubs for a select group of subjects

  29. Next Steps Discussion Thank You

  30. Technology Overview • Pattern recognition recommendation engine • One of the key differentiators • Transform avalanche of data into actionable information • The user is provided with an always-fresh information, that are most likely to create, manage and grow buzz in the Social Web • Alert-driven semantic crawling • Monitor notifications of activity on the Social Web • Drills down to analyze and identify opportunities to participate and engage in social media • Opportunities are scored and evaluated into actionable recommendations • Modular architecture / Scalable infrastructure • Enable to constantly extend service offering • E.g. future target mobile devices for Alerts • Patentable technologies • Scoring engine; • Overlapping discussion / search keywords

  31. Pattern Recognition Scoring Discovered Item Author Keyword Freshness Anthology Sentiment

  32. Scoring the Influence Author Propensity to engage Social Graph Virality

  33. Mapping Virality

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