Boosting data monitoring efficiency with AI-powered detailed alerts

Overview

• Azur faced challenges efficiently monitoring and optimizing their User Acquisition (UA) campaigns. Limited data coverage, delayed alerts, and high false-positive rates hindered their ability to act swiftly on performance issues, leading to missed opportunities and profit leaks.
• By implementing oolo, AppsFlyer’s AI-powered alerting solution, Azur Games gained comprehensive, noise-filtered alerts prioritized by business impact and covering 100% of their performance data.
• With oolo’s AI-driven insights, Azur sped up decision-making, reduced false positives, and achieved full visibility into campaign performance. The result? Improved efficiency and better campaign outcomes.

Background

Azur Games is a leading developer of innovative mobile games, including the popular title Slime Castle (1M+ downloads on Google Play). Their dedication to delivering engaging player experiences has earned them a strong position in the competitive mobile gaming market.

However, Azur Games is committed to continuous improvement. To stay ahead, they sought a solution to optimize campaigns in real time and maximize opportunities across their growing portfolio.

Challenge

Azur Games manages many UA campaigns across multiple platforms, relying on a basic in-house rule-based alerting system to cover their primary notification needs. While this setup worked for basic high-level monitoring, it couldn’t scale to handle the complexity of monitoring granular data across hundreds of campaigns. As Azur’s needs grew – such as spotting issues in real time and monitoring granular metrics across hundreds of campaigns – the team recognized the need for a more holistic solution.

Specific challenges included:

1. Manual inefficiencies: Teams spent hours combing through data to identify issues.
2. Frequent false positives: Overwhelming noise made it difficult to separate meaningful anomalies from routine fluctuations.
3. Limited metrics visibility: Key performance indicators were often delayed or unavailable, hindering effective optimization.

With our rule-based system,we often missed problems until it was too late, wasting valuable time. Fortunately, oolo helps us detect issues on the day of the anomaly, which has significantly sped up our workflow

Diana Agrba, UA manager

Solution

To address these challenges, Azur Games onboarded oolo into their UA monitoring routine. This AI-powered monitoring solution provides full data coverage and actionable insights (for example, where and why the cost spikes while ROAS drops), ensuring that no critical issues or opportunities are missed. With comprehensive coverage, the team is now able to make more informed and timely decisions.

oolo’s advanced metrics visibility, which monitors all cost, revenue, retention and share of voice metrics, enabled the team to dive deeper into campaign performance, uncovering insights that had previously been missed. The AI-driven system also significantly reduced false positives down to 5%, filtering out irrelevant fluctuations so the team can focus on real issues.

In addition, oolo’s automated detection of unusual activity – and its ability to highlight the creative or site ID that caused the anomaly – drastically shortens the investigation process, enabling the team to quickly understand and resolve issues. Today, Azur Games maintains high campaign performance and respond swiftly to anomalies.

With oolo, we now receive alerts with detailed insights that pinpoint the root causes of issues. This level of granularity and the convenience of having such detailed metrics has significantly streamlined our workflow, enabling us to address problems more efficiently and take timely action.

Diana Agrba, UA manager

Results

Switching to oolo brought measurable improvements across Azur’s UA campaigns.

• Time savings: Weekly monitoring time dropped from 10 hours to just 2-3 hours, saving over 30 hours monthly. Investigation time also decreased, with complex issues resolved in 1-2 hours instead of 3-5 hours.
• Accuracy gains: False positive rates were reduced from 10-20% to under 5%, ensuring focus on impactful anomalies.
• Improved performance: With full data coverage and real-time insights, Azur confidently optimized campaigns for better results.

The transformation powered by oolo enables Azur Games to make informed decisions confidently to optimize every aspect of their campaigns and achieve higher returns with greater efficiency.

The team now has the confidence to tackle challenges proactively, knowing they have comprehensive visibility and timely insights at their disposal, without missing any issue. This newfound confidence has fostered a more focused and motivated approach, driving continuous improvements and helping Azur Games stay ahead in the competitive mobile gaming industry.