Simpool's AI-based game simulation system
gives you the power to predict and maximize
user lifetime value.
Maximizing user lifetime value depends heavily on properly balanancing your game economy. You need a big media budget, a critical mass of users, and continuous trial-and-error experimentation, in order to achieve that balance.
While A/B testing is often invaluable, testing your game economy carries the risk of destabilizing the entire system by giving some players an unfair advantage. You also need to hire from a small pool of game economists to analyze the data once it's finally available. And even after spending so much precious time and money, there's still too much guesswork in a mission-critical system that is best managed not as an art, but as a science.
You hope your game economy is well-balanced, and you play a hunch as to which options will have the most positive effct on your users LifeTime Value (LTV)
You just launched a new feature. To understand its effect on 30-day retention, for example, you need to wait an entire month just to see the initial results
While you wait for relevant feedback, you run the risk of churning high-value users, prioritizing dev time inefficiently, and exposing new users to an unbalanced product that isn't optimized for engagement and retention.
Building on our deep expertise in AI and machine learning, Simpool has developed a powerfull 'off-the-shelf' AI solution capable of conducting real-world simulations, predicting user behavior, and providing real-time monitoring of your game economy.
Simpool's got your back. Our smart, scalable solution allow you to quickly and effectively optimize your game economy and maximize user LTV. No more guesstimating, waiting & leaving money on the table.
You'll know where to focus your efforts to have the greatest impact on user LTV
You'll know in hours what previously took days or weeks
You'll be able to invest your capital more efficiently and effectively
Co-Founder & CEO
Over 13 years of experience in in-depth data cycles (BI, analysis, big data) in leading companies (Playtika, bwin). Guy has vast experience in user classifications, segmentation and predictive LTV.
Co-Founder & CTO
More than 10 years of experience leading design and development teams at large companies (Elbit, SAP) He also brings extensive experience in large-scale architectures.
Head of Marketing & Biz Dev
Over 15 years of experience in the video game industry, leading game studios and communities worldwide. Tsahi has also created an ecosystem for game education, and he's an hardcore gamer with a heart and soul of an indie.
Web Developer & Gamer
Graduated from an elite technological unit, with background in embedded and web development. Eyal has worked on a variety of software projects and has years of extensive gaming experience.
Business & Game Economy Analyst
Economist with experience in risk management, statistics and data science. Developed risk indicators and machine learning models for different international businesses. Erwin is also passionate about games.