Posts tagged player dynamics
Understanding the behavior of players of social games has been an expensive lesson to learn by many companies, often picking up bite-sided pieces of insight through extensive A/B testing and internal metrics over time. Many companies have also tried to better understand the viral invitation process and successful virality of social games both on and off the Facebook platform. An academic paper entitled “Diffusion Dynamics of Games on Online Social Networks” was recently written by Xiao Wei and Jiang Yang from the University of Michigan, Ricardo Matsumura de Araújo from the Federal University of Pelotas, Brazil and Manu Rekhi, VP of strategy, marketing, business and corporate development for Lolapps.
The paper analyses the viral spread of an application and how/why are these processes occurring. SocialTimes.com did a great post that summarizes the academic paper. Alternatively, you can view the entire paper here.
Some of the key findings are summarized below:
- On average, each inviter has invited 26 friends while the median number is 10
- Just 10% of users account for 50% of successful invites
- Around 90% of users share their locale information
- Around 40% of users share their friend list
- Only 1% of users share their relationship status
- Invited users remain in the game longer: over 50% kept on playing for more than a day and 20% of all invited users were still playing 80 days later.
- Around 80% of non-invited players leave the game within the first day
- Overall, they find that invitation strategy is more important than demographics in determining invitation success rate
To determine how to create a profitable social game, please explore my previous blog post on the importance of Customer Acquisition Costs for startups.