Geek Metrics: Using App Analytics to Drive Distribution, Engagement, & Monetization
On the next panel, Geek Metrics: Using App Analytics to Drive Distribution, Engagement, & Monetization, the panelists are Dave McClure (500 Hats), Hiten Shah (CrazyEgg / KISSmetrics), Ian Swanson (Sometrics, Inc.), Albert Lai (Kontagent) and Roy Pereira (Refresh). Dave McClure is moderating the panel.
Why would I use third party analytics solution?
HS: It boils down to resources (experience, scaling problems) and insights.
IS: Resources, relationships and partnerships that developers can't build on their own.
RP: Launched on May 1. App developers should focus on core making it viral and as successful as possible.
AL: We develop viral analytics. Most customers tell him that customers don't have bandwidth (time, retention etc).
Are you shipping currently?
AL: Private beta shipping to select customers. Currently not releasing customers. 80% of our time goes into scaling, building infrastructure.
RP: already launched. Their target is application networks (companies that have lots of applications) and ad networks.
IS: Launched in January this year. Currently doing 15 million daily unique active users. He is from Userplane. They have a long tail. 90% facebook, 8% myspace and 2% spread across other networks.
HS: Several large customers lined up. Shipping next week as private beta. Less focused on monetization and more focused on engagement and growth.
Are you currently charging?
RP: Free model right now. Plan on introducing value added functionality in coming months. Fundamental functionality will always be free.
IS: free product. last week launched a social ad platform. They have some premium services. Kind of like atlas or DART but for social space.
HS: base analytics will be free but subscription services will cost some.
AL: I am going to pay million dollars to everyone for using :)
How is your product better than say Google Analytics?
AL: We are focused on viral channels, enagament and allow easier access to A/B testing methodologies like big guys (Slide etc) do.
What are the risks are going forward and what keeps you awake at night?
HS: Social networks control us and the developers. That's what keeps us up at night.
RP: Social networks changing APIs etc.
Specific example of viral analytics?
AL: Very very quickly adapting to traffic that's coming in. Providing the ability to forecast virality based on changes. Framework that allows to test various changes.
HS: Viral growth factor number and equation that's getting standardized. Related to invitations and engaging users. The equation is called k-factor.
Why are you better than other guys?
IS: make money
HS: great insight. use all analytics you can.
Another great session at the Graphing Social Patterns conference.
Why would I use third party analytics solution?
HS: It boils down to resources (experience, scaling problems) and insights.
IS: Resources, relationships and partnerships that developers can't build on their own.
RP: Launched on May 1. App developers should focus on core making it viral and as successful as possible.
AL: We develop viral analytics. Most customers tell him that customers don't have bandwidth (time, retention etc).
Are you shipping currently?
AL: Private beta shipping to select customers. Currently not releasing customers. 80% of our time goes into scaling, building infrastructure.
RP: already launched. Their target is application networks (companies that have lots of applications) and ad networks.
IS: Launched in January this year. Currently doing 15 million daily unique active users. He is from Userplane. They have a long tail. 90% facebook, 8% myspace and 2% spread across other networks.
HS: Several large customers lined up. Shipping next week as private beta. Less focused on monetization and more focused on engagement and growth.
Are you currently charging?
RP: Free model right now. Plan on introducing value added functionality in coming months. Fundamental functionality will always be free.
IS: free product. last week launched a social ad platform. They have some premium services. Kind of like atlas or DART but for social space.
HS: base analytics will be free but subscription services will cost some.
AL: I am going to pay million dollars to everyone for using :)
How is your product better than say Google Analytics?
AL: We are focused on viral channels, enagament and allow easier access to A/B testing methodologies like big guys (Slide etc) do.
What are the risks are going forward and what keeps you awake at night?
HS: Social networks control us and the developers. That's what keeps us up at night.
RP: Social networks changing APIs etc.
Specific example of viral analytics?
AL: Very very quickly adapting to traffic that's coming in. Providing the ability to forecast virality based on changes. Framework that allows to test various changes.
HS: Viral growth factor number and equation that's getting standardized. Related to invitations and engaging users. The equation is called k-factor.
Why are you better than other guys?
IS: make money
HS: great insight. use all analytics you can.
Another great session at the Graphing Social Patterns conference.
Labels: graphing social patterns, gspeast, GSPEast08, GSPEConf08, metrics, monetization
posted by Frank at 11:42 AM
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