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Anodot Automated Anomaly Detection a Perfect Fit for Mobile Gaming Giant
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Consumer Goods
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Maintenance
Services
- Data Science Services
The Challenge
The company, a mobile gaming giant, relies heavily on its in-house developed cross-promotional system for revenue. Any bug or change in the system could lead to more than 15% loss in in-app purchases. The company used to monitor impressions, clicks, and conversions of their cross promotions on a weekly basis using Tableau dashboards. However, this manual process was slow and inefficient, often leading to delayed insights on glitches. For instance, a new promotion caused major crashes across several platforms, but the issue was not logged until the next day. It took almost four days for the company to realize the problem, and it was only discovered when checking another unrelated system.
About The Customer
The customer is one of the fastest-growing multinational family entertainment companies in the world. It has grown from a popular app into a full-fledged media franchise since its launch. The brand is used in more than 200 territories around the world and has more than 5.6 billion downloads. The company's portfolio includes free mobile apps and games, a CGI animated series and web shorts, a global licensing and merchandising program, and a variety of YouTube videos. One of the main revenue sources for the company is the use of cross-promotional advertising between applications and platforms.
The Solution
The company adopted Anodot's Automated Anomaly Detection system to monitor their cross-promotional metrics, installations, revenue, and more in real-time. Anodot's system automatically alerts the company to any changes in their business data streams including installs, customer engagement, and retention. The company streams its application and business data to Anodot to keep track of the number of crashes per application, per platform. If the number of crashes increases, they immediately know and can react with a clearer picture of what is causing the problem. They also track ad impressions and revenues, with plans to track it per provider and geographic location in a later phase. The backend development, finance, and analytics teams rely on Anodot on a daily basis. Automated correlations and the customizable Anoboards (anomaly dashboards) make it easy for each team to receive the information it needs to keep the systems running smoothly.
Operational Impact
Quantitative Benefit
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