Growing player revenue and reducing churn requires machine learning-fueled digital intelligence.
Growing at a rate of 8.5% per year, the global games market reached $99.6 billion in 2016, according to Newzoo’s Global Games Market Report.
Although the gaming industry is large and growing exponentially, the road ahead is filled with challenges.
Traditionally, gaming companies have relied upon big titles to re-attract hard core players. However, the engagement is fleeting, often decaying within a few months of launch.
As studios compete not just for players and playing minutes but also for wallet share, building innovative games no longer is enough to win.
Instead, competitive differentiation in an increasingly crowded landscape requires gaming companies to deliver hyper-targeted, relevant experiences that connect with individuals playing the game, embrace and engage the gamer’s network of fellow players, and spur the gamer to action pushing them to achieve more levels, gamble more chips, or try a brand new category of game.
With gamer engagement, excitement, and revenue dependent upon it, failure to deliver these personalized experiences may literally mean “game over” for many companies.
2017 Industry Guide: Leveling up player revenue and retention through machine learning-fueled digital intelligence
Traditional marketing cloud offerings and niche gaming platforms can't keep pace. Instead, marketers need machine learning-powered digital intelligence that provides the following benefits:
- Nano-Clustering – Dynamically cluster your customers into 1000’s of nano segments for marketing and experimentation. Stop segmenting. Start engaging.
- Machine Learning Automation – Break all the rules by moving from human driven marketing automation solutions to machine learning platforms.
- Continuous Experimentation – Your A/B testing tool is offically too slow for today's connected consumer. Instead, rapidly run 1000’s of recursive tests to maximize performance of customer-oriented KPI’s such as average revenue per user, retention rate, and customer lifetime value.
- Adaptive Optimization – Optimize every interaction. Every time. Adaptive Optimization utilizes multi-armed bandit capabilities to automatically adapt campaigns to ongoing shifts in customer behavior or market conditions. This results in rapid lift as the tool identifies and takes action on additional pockets of value.
Explore how Amplero leverages machine learning to drive engagement lift and digital transformation across the entire customer lifecycle for our Fortune 1000 clients.