Kontagent
Social Analyics
Press Release: Kontagent Social Web Analytics Raises Over $4 Million in Additional Capital
Tuesday, June 29th, 2010San Francisco, California, June 30th, 2010 — San Francisco based social web analytics company Kontagent, has raised over $4 million in additional equity funding in its latest round of funding. The round was led by Altos Ventures and Maverick Capital, with participation from Larry Braitman, co-founder of FlyCast and Adify. This brings the total amount raised by Kontagent to nearly $6 million to date. Anthony Lee from Altos Ventures and Eric Kim from Maverick Capital will be joining the Kontagent board.
The company’s social web analytics platform is the most broadly used platform of its kind, deployed by many of the top social game and app developers on Facebook. The Kontagent platform now tracks over 60 million users monthly across hundreds of Facebook connected games and services.
The new funding partners will be joining existing angels and seed funds announced earlier this year that include: Jameson Hsu, co-founder and CEO of Mochimedia; James Hong, co-founder and CEO of HotOrNot; Benjamin Sun, co-founder and CEO of CommunityConnect; Auren Hoffman, founder and CEO of RapLeaf; Greg Thomson, founder of TallTreeGames and Mike Sego, chief product officer of Gaia Online and also the Facebook Fund, The Hit Forge and Extreme Venture Partners.
The company plans to use this additional capital to extend its technology platform, as well as to build out its sales and marketing capacity. Kontagent is actively hiring and expanding its engineering, sales and marketing teams in both its San Francisco and Toronto offices.
About Kontagent:
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.
Kontagent was founded in 2007 by serial entrepreneurs Jeffrey Tseng (2nd startup, most recently founder of Aevena) and Albert Lai (5th startup, most recently founder of BubbleShare). The company is headquartered in the SOMA district of San Francisco, California with a presence in downtown Toronto, Ontario.
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Release v1.19: Date Filtering for Traffic Source Released!
Friday, June 18th, 2010We’ve heard many of our customers ask for this, so we are expecting this to be a crowd pleaser. The Kontagent team has been hard at work at getting this rolled out today:
We are pleased to announce that it is now possible to filter data on the traffic source page by date. You can select an arbitrary date range and analyze the behavior of users from different install sources over this time period. The old pages that show behavior over the lifetime of the application are still available since they have a few metrics which are not yet supported on the date-filterable pages.
The data shown on the date-filterable pages reflects the behavior of users with a particular install source over the selected time range. This does not mean that the user carrying out an action reflected in the data installed the application during that time period, just that the action was carried out during the time period. This is perhaps best illustrated with a few examples. For these examples, assume that the selected time range is 6/10 to 6/16.
- If a user installed the application on 6/8 and had 5 page views that day and 3 more page views on 6/12, only the 3 page views on 6/12 would contribute to the displayed data.
- If a user installed the application on 6/8, sent out an invite two three friends, who accepted the invite and installed the application on 6/8, 6/10 and 6/12, respectively, this user would contribute 2 viral installs to the displayed data. Note that the install time of the original user is irrelevant. Only the install time of the user who he or she invited matter in determining the data that is displayed.
Please note that the data used to populate these pages exists from 6/9 onwards. Setting the start date further back will not yield any additional data.