Many good presentations here. Two that are stand out of the crowd are from MyYearBook and Kontagent.
MyYearBook Ideas
Trend Observation: From Viral Analytics early on to User Lifetime Value vs External User acquisition so Retaining engagement is important!
Key matrix to use these days for social apps:
1. Entry event distribution (why and how users get back to the system). More ways to incentivize entries
2. # Outbound messages/Users
3. Viral messages/Conversion (clicks per post)
4. Virality (K-factor) on FB it’s max at ~.5 these days
5. Engagement (time on site, #times user play, #user actions)
6. Exit event distribution (mindset of user when they leave app, indicate potential problems)
7. Retention (revisit rate), measure of engagement. %% users come back in week-by-week bases 8. Lifetime network value revenue_per_user/(1-K)
9. Conversion to Paying Users
10. Avg revenue per Paying User
My Side Note: Advertising should be used for acceleration of successes and should feed from analytics. If detected that app is doing particalually well in some age/gender/area/channel – ads should be (auto) targeted to this area.
MyYearBook Ideas
- Games Should Advance What Site is About
- Play games within streamOpening doors for 3-rd party developers
- Anyway games are popular for 6-8 mth except “platform” games
- Game promotionViral channels “promotions”, a way to present apps:
- Bulletin board
- In-stream games
- Action Items (below user profile picture)
- Notifications
- Profile Box (badges, etc)
Trend Observation: From Viral Analytics early on to User Lifetime Value vs External User acquisition so Retaining engagement is important!
Key matrix to use these days for social apps:
1. Entry event distribution (why and how users get back to the system). More ways to incentivize entries
2. # Outbound messages/Users
3. Viral messages/Conversion (clicks per post)
4. Virality (K-factor) on FB it’s max at ~.5 these days
5. Engagement (time on site, #times user play, #user actions)
6. Exit event distribution (mindset of user when they leave app, indicate potential problems)
7. Retention (revisit rate), measure of engagement. %% users come back in week-by-week bases 8. Lifetime network value revenue_per_user/(1-K)
9. Conversion to Paying Users
10. Avg revenue per Paying User
My Side Note: Advertising should be used for acceleration of successes and should feed from analytics. If detected that app is doing particalually well in some age/gender/area/channel – ads should be (auto) targeted to this area.
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