How to Make Money from    Online Games ?
Analytics Tips For Games
Focus on the player
#10. Focus on the player• Build a player-centric view of game design• Model your expected user base• Understand how differ...
#10. Focus on the player• Aim to make the players enjoy the gameplay – in the  different ways they play – sociable, comple...
Collect the right data
#9. Collect the right data• Understand the information you want to analyse• Focus on player level, not game level informat...
#9. Collect the right data
Understand the metrics
#8. Understand the metrics• Metrics generally means dashboards• This provides historic information• It tells you the healt...
#8. Understand the metrics• Stickiness• ARPU / ARPPU• Payment Size• Time to First & Second Payment• Virality• Demographics...
Segment  playerbehaviour
#7. Segment player behaviour                                7%                                                            ...
Social interaction
#6. Social interaction• Connectedness• Centrality• Cohesion• Reciprocity
#6. Social interaction• Identify player ‘bridges’• Isolated players• Gaps and holes, leading to group fragmentation• Rewar...
Identify player value
#5. Identify player value• Total lifetime value• This is a factor of both the revenue directly and  indirectly attributed ...
#5. Identify player value• Time to first payment (2-4 weeks drive high LTV)• Payment patterns (regular, increasing, decrea...
Pattern analysis
#4. Pattern analysis             1st Event             2nd Event                3rd Event                                 ...
#4. Pattern analysis• Pattern analysis is a powerful technique• Using it allows behaviours to be tracked and  identified• ...
Predictive Modelling
#3. Predictive Modelling• Ability to predict player behaviour• Identify players likely to undertake an action if  encourag...
Actionable results
#2. Actionable results• The key to Analytics is to provide the tools to  improve the game• This can be:   –   Improve Game...
#2. Actionable results• Analytics provides the means to identify these traits• To group players into manageable segments• ...
Analytics is a tool
#1. Analytics is a tool• Analytics is a tool• Like a good 3D engine, used well it can improve a  game• But turn the findin...
Do you need us to maximizeyour revenue from your MMO,casual, social, mobile games ?UK & Europe                       North...
Upcoming SlideShare
Loading in …5
×

How to make money from online games

5,162 views

Published on

Games Analytics' top 10 useful tips to make money with online games.

1 Comment
4 Likes
Statistics
Notes
No Downloads
Views
Total views
5,162
On SlideShare
0
From Embeds
0
Number of Embeds
300
Actions
Shares
0
Downloads
85
Comments
1
Likes
4
Embeds 0
No embeds

No notes for slide

How to make money from online games

  1. 1. How to Make Money from Online Games ?
  2. 2. Analytics Tips For Games
  3. 3. Focus on the player
  4. 4. #10. Focus on the player• Build a player-centric view of game design• Model your expected user base• Understand how different players interact with the game• Build a player level revenue forecast
  5. 5. #10. Focus on the player• Aim to make the players enjoy the gameplay – in the different ways they play – sociable, completers, explorers• Length of gameplay is generally a good indication of monetisation• Analytics allows the game to be tailored to individual types of players
  6. 6. Collect the right data
  7. 7. #9. Collect the right data• Understand the information you want to analyse• Focus on player level, not game level information• Identify significant events in the game• Build good data integrity
  8. 8. #9. Collect the right data
  9. 9. Understand the metrics
  10. 10. #8. Understand the metrics• Metrics generally means dashboards• This provides historic information• It tells you the health of your game• Use metrics to identify the areas of the game that need focus
  11. 11. #8. Understand the metrics• Stickiness• ARPU / ARPPU• Payment Size• Time to First & Second Payment• Virality• Demographics• Paying Players by Country
  12. 12. Segment playerbehaviour
  13. 13. #7. Segment player behaviour 7% %Volume 0.55 6% 2.34 %Paying 36% 25% 57% 7Day Ret $0.75Virality Potential 1.30% $4.4 0 CAC 26% 31% $2.21 0.89% 22% Focusing on the Player $1.75 14% 12% 0.86 59% $3.5 Early Enthusiasts Confident Completers 0.97 7 5% 21% Social Involver 0.19 $1.9 9% 4 $2.3 Sporadic Semi Engaged 8 Losing Momentum Need Guidance Revenue Potential Borderline Incompetent
  14. 14. Social interaction
  15. 15. #6. Social interaction• Connectedness• Centrality• Cohesion• Reciprocity
  16. 16. #6. Social interaction• Identify player ‘bridges’• Isolated players• Gaps and holes, leading to group fragmentation• Reward highly influential players• Manage cohesion, caused by influential players• Reconnect isolated players• Build bridges and connect sub networks
  17. 17. Identify player value
  18. 18. #5. Identify player value• Total lifetime value• This is a factor of both the revenue directly and indirectly attributed to the player• This can be predicted to identify potential value
  19. 19. #5. Identify player value• Time to first payment (2-4 weeks drive high LTV)• Payment patterns (regular, increasing, decreasing)• Triggers for first spend (why now?)• Time lag to second spend (be quick)• Reasons for reactivation (paying players stick around)• All actionable to raise LTV• Overlay profiles to refine targets
  20. 20. Pattern analysis
  21. 21. #4. Pattern analysis 1st Event 2nd Event 3rd Event 61% 12% 9% Challenge Start Intervention here Gifted itemUse event order to predict and encourage next action Visited Home Invite Neighbour Bought Item
  22. 22. #4. Pattern analysis• Pattern analysis is a powerful technique• Using it allows behaviours to be tracked and identified• This can be used to react to next best option• This can also be used to identify actions that precede abandonment
  23. 23. Predictive Modelling
  24. 24. #3. Predictive Modelling• Ability to predict player behaviour• Identify players likely to undertake an action if encouraged• Provide the means to deliver a marketing intervention that is: – Timely – Personal – Appropriate
  25. 25. Actionable results
  26. 26. #2. Actionable results• The key to Analytics is to provide the tools to improve the game• This can be: – Improve Gameplay – Increase Revenue – Reduce Abandonment – Increase Retention – Reward Loyalty
  27. 27. #2. Actionable results• Analytics provides the means to identify these traits• To group players into manageable segments• To predict their future behaviour• To intervene to change behaviours and move the graph
  28. 28. Analytics is a tool
  29. 29. #1. Analytics is a tool• Analytics is a tool• Like a good 3D engine, used well it can improve a game• But turn the findings into actions• And measure the results – “TEST & LEARN”• You can raise your game revenues by more than 30%!
  30. 30. Do you need us to maximizeyour revenue from your MMO,casual, social, mobile games ?UK & Europe North America FranceChris Wright Alan Miller Nathalie LamriCEO Head of Operations Head of Operationschris.wright@gamesanalytics.com alan.miller@gamesanalytics.com nathalie.lamri@gamesanalytics.com+44 7971 952 943 +1 408 718 4145 +33 (0)6 59 56 05 62Copyright GamesAnalytics © 2011 www.gamesanalytics.com

×