Everybody does A/B Testing, right? Test, Test, Test! Simply compare user conversions on two page options, then select the better performing one and set it as default -- one size fits all. That's A/B Testing.
Manually segment your user base, and manually define the rule-base that enables to serve each segment a pre-designated page option, and you'll probably have a slightly better mousetrap, though at a significant initial and on-going expense. That's Segmentation and Cohort Analysis.
Harness the vast mounds of user data (social, behavioral, demog, geo, etc.) and apply predictive algorithms to automatically serve each user with the most relevant page-option in real-time, and now you got yourself a dynamically-adaptive, self-learning, 'fire-breathing' conversion booster that invariably generates much better results than A/B Testing or Segmentation. That's Dynamic, Best-Fit Optimization.
Come and learn how to turn "trash into gold" by mathematically extracting buried knowledge of predicted user conversion behavior, and turning it into money-making personalized actions right in your game.
0