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Data analysis & balancing meeting thibault coupart avril 2015

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Leveraging on Data Analysis to Balance Game Design, via the example of 2 social games: a casual one and a mid-core one. Presentation by Thibault Coupart, Game Data Analyst & Game Balance Designer.

Publié dans : Données & analyses
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Data analysis & balancing meeting thibault coupart avril 2015

  1. 1. Data Analysis & Balancing Coupart Thibault - 10/04/2015
  2. 2. Presentation Data Analyst / Game Economy Designer - Master in engineering/town planning - DU in Game / Level Design - Complementary Formation in Hadoop/Programmation skills - Internship data analyst at Corexpert - Data analyst at Adictiz - Current- data analyst at 505 Games
  3. 3. Plan 1. Definitions & concepts 2. Case Study 1 - Arcade Game 3. Case Study 2 - City Builder Game 4. Conclusion
  4. 4. Intro Current mobile game trend (subjective opinion) ?
  5. 5. Definition & concepts
  6. 6. Definition & concepts A few important words : - The balancing fundamentally is about “tweaking” existing game variables in order to increase the game experience. - You always want to have the reward accorded with the difficulty, the investment accorded with the quality, the cost accorded with the power. - Data analysis helps a lot to spot areas of the balancing that need improvements, whereas a better balancing usually increase the commercial success of the game - This statement is even more true in the world of Free-to-Play, where it is all about convincing the player that the ing-game purchase worth his real money.
  7. 7. Definition & concepts A simple way of visualizing the balancing in a free-to-play Economy Not good (too easy) Not good (too hard) Good !
  8. 8. Case Study 1 - Arcade game
  9. 9. Case study 1 - Arcade game 2D casual Games where you need to reach the highest distance possible with your dog ! (tap to fly)
  10. 10. Case Study 1 - Arcade Game Unlock Buy Accelerate Revival Reroll PLAY Content BUY VIRALIZE
  11. 11. Case Study 1 - Arcade Game Distribution of players score for each levels of the Game
  12. 12. Case study 1 - Arcade game Retention by level and fail rate
  13. 13. Case study 1 - Arcade game Gate 1 where you need to pay 500 coins Tutorial Most important retention losses Retention by level/steps and Retention as percent from previous
  14. 14. Case study 1 - Arcade game Changing the wheel reward balance is also a part of the balancing. 25% 25 45% 45 5% 100 20% 5 50% 50 5% 100 Original values New values (expected gain / roll : 31) (expected gain / roll : still 31)
  15. 15. Case study 1 - Arcade game +4 pts post lvl 3 +8 pts post lvl 7 +3 pts post lvl 12
  16. 16. Case study 1 - Arcade game Introducing the “bad” roll on the wheel with the 2.5 release Average Rerolls used by players
  17. 17. Case study 1 - Arcade game +5 points retention at Day +1 and after
  18. 18. Case Study 2 - Builder game
  19. 19. Case study 2 - Builder Game
  20. 20. Case study 2 - Builder Game Percentage from First - Economy Variables
  21. 21. Case study 2 - Builder Game DPS/ Health of Units unlocked throughout the game
  22. 22. Case study 2 - Builder Game DPS/ Health of Turrets unlocked throughout the game
  23. 23. Case study 2 - Builder GamePOWER PROGRESSION Defender > Attacker; hard to progress easily at this point in the game; correspond to HQ lvl 2 / 3
  24. 24. Case study 2 - Builder Game Retention of users according to Campaign Mission with Fail Rate- February 2015 Most important drop
  25. 25. Case study 2 - Builder Game Researching Negative side effect - the investment is a deception
  26. 26. Case study 2 - Builder Game Supplies invested in each units for each users who unlocked the said unit - February 2015 (Total number of Purchases * Unit Price) / Distinct users who bought it at least once) Underused
  27. 27. Conclusion
  28. 28. Conclusion - The balancing has became a big topic in the free-to-play economy, and pretty much every gameplay needs a decent balancing now to succeed - A data analyst will have many benefits by matching balancing data with user data, and the opposite is true : a game designer / balancer will use user data to orient his balancing ! - QUESTIONS
  29. 29. Thanks for your attention! Contact Coupart Thibault Mail : thibault.coupart69@gmail.com Linkedin : https://www.linkedin.com/hp/?dnr=oiFedA9QkZ4bzJnRoqEvqAHABQ43iJ4WcI2W&trk

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