Store Personalization models

Gaming web stores can significantly enhance user experience and increase sales by implementing personalization models. Here are the two Appcharge's effective approaches:

Using Segments
Personalization through segmentation involves categorizing customers based on shared characteristics such as purchasing behavior, game preferences, and engagement level. For instance, a game might identify segments like hardcore gamers, new players, paying payers, etc. By analyzing data from user interactions and purchase histories, stores can tailor their interfaces, recommendations, and promotions to fit the unique preferences of each segment. This could mean showing special offers, bonuses, and bundles. Effective segmentation allows game web stores to craft highly targeted player offers. Appcharge supports this Personalization technique by enabling the creation of offers with segments; once the player logs into the store, the Player Data Sync API will retrieve his segments as defined by the game logic and present the personalized offers to the player.

Offers List
This model focuses on capturing user interest through timed promotions relevant to his classification by the game. The game platform will use data analytics to determine the optimal offers for that player, including discounts, multipliers, one-time deals, campaigns, player birthdays, and frequently viewed but not purchased offers. The base offers will be configured on the Appcharge system. During the player activity in the store, we will retrieve the offers and their dynamic product list and quantities as calculated by the Game system using the below API.

Both Models rely on the Player Info Sync API in 2 different variations and will be triggered every:

  1. Immediately after login
  2. Every 5 minutes
  3. Immediately after purchasing an offer/collecting a bonus