Introducing the Kontagent Viral Analytics Platform
Written by Albert Lai on | No Comments
Welcome to the Kontagent Blog.
Welcome to the Kontagent Blog. Check back here to keep up to date and find out what’s up with the Kontagent platform and team. In the mean time here are some frequently asked questions — and their answers… of course:
Who Are We?
Kontagent is the leading viral analytics platform for social network application developers. The Kontagent platform has been built from the ground up to provide deep social data visualization and analysis that delivers actionable insights delivered via a hosted, on demand service. The Kontagent platform works directly with the Facebook API, and will soon support OpenSocial and the MySpace platform. Kontagent was founded in 2007 by serial entrepreneurs Albert Lai/CEO (5th startup, most recently founder/ceo of BubbleShare) and Jeffrey Tseng/CTO (2nd startup, most recently founder Aevena) . The company is headquartered in the SOMA district of San Francisco, California with a presence in downtown Toronto, Ontario.
What Platforms Do You Support?
Currently Kontagent supports Facebook. Support for MySpace and OpenSocial is coming soon.
What does Kontagent Track?
Filter on:
- Age
- Gender
- Location (by country and by state/province for the US and Canada)
- Number of friends
- Engagement: page views, unique visits, time spent on site, recency of visits
Cohort Analysis:
- User demographic to social behavior correlation analysis
- Traffic source cohort to user behavior analysis
- Application version cohort to user behavior analysis
Virality:
- K-factor (a.k.a viral coefficient)
- Track each viral channel’s growth contribution (k-factor for invites, notifications, feeds, profiles)
- Non-viral channel effectiveness (ad networks, ad creatives, promotional partners)
- Notification and invite channel limits
- Invites sent per user
- Invite/notification conversion rates
- Invite response delay analysis
- Viral growth predictive modeling and projections
A/B Testing:
- Framework for template A/B testing
- Template acceptance rate
- Average outbound invite events per template
- Accepted invites per invite template event
- Response delay analysis (for viral generation time frame analysis)
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