Tomobox announces first AI-driven, player churn alert system

In the heat of growing competition, gaming operators spend fortunes to acquire new players. Keeping players engaged has become a challenge for many operators due to player mobility and competitive signup bonuses. Operators are losing highly valued players due to lethargic and slow responding customer support. Understanding players and responding in real-time to customer issues has become vital to keeping them happy and playing.

Tomobox uses scientific methods based on machine learning, to predict player churn, in real-time. Leveraging an understanding of language through the analysis of player in-game chats and customer emails, combined with dozens of additional player data points, Tomobox helps agents identify and solve customer issues in seconds not hours, to keep the player happy and content.

Ongoing data validation shows that in 65% of registered incidents, providing immediate player relief results in extended player time. Player complaints that appear in emails, chat support and in-game chats are identified automatically by Tomobox’s algorithms, in all languages. Tomobox’s platform alerts the agent to player frustration, prioritises churn probability and advises the agent on how to best address the player issue.

Says David Sachs, Tomobox CEO: “Keeping players at the table, immediately translates into added revenue. In some cases, gaming platform owners and operators using Tomobox, report an uplift of 30K-50K EUR per day, which is huge on any scale. We’re excited to partner with some of the leading online gaming providers to implement advanced AI to improve the player experience. We’re thrilled to be sharing this news at Sigma18 and Malta”.

Adds Baruchi Har-Lev, Co-founder and Tomobox VP R&D: “We’ve made sure that onboarding new gaming operators and integrating into Tomobox is quick and efficient, using our secure RestAPI. We’ve seen our customers up and running in a matter of hours, not days or weeks”