The missing element in game analytics

Quago’s data enrichment layer works in real time to ensure that no critical insights are missed for optimized, cheat-free gaming sessions and experience
Let’s talk

Cheat detection and management

Because precise identification of unfair play should be an industry best practice

In the fast-paced world of mobile gaming, dealing with cheaters and fraudulent activity is a resourceful headache. It abuses IAP revenues, mess-up game analytics metrics, lead to unhappy, frustrated players and more

insights based on in-game device sensor-based data signals in real-time serve to detect: 

  • Commercial cheating
  • Modded APKs and IPAs
  • Scripts
  • AIMbots
  • Speed hacks
  • Account sharing
  • IAP abuse

Retention & monetization optimization

Engage players and cross promote your game brands by identifying players sentiment

Maximizing monetization while keeping players engaged and without cannibalizing existing achievements is a delicate balancing act.

Effectively categorizing new players, within the first 24 hours can help tailor the best approach to play segmentation, retention and cross promotion.

Identifying frustration and churn probability among engaged players completes the picture and fills today’s accuracy gaps of the industry

Leverage Quago’s predictions and insights to:

  • Prevent churn and re-engage players
  • Cross-promote other games ONLY to relevant players
  • Advertise to non-paying users without risking IAP revenue
  • Segment players by churn probability, pLTV, skill level and more
  • Matchmake new players accurately

UA optimization and CPA fraud detection

Ensure every dollar spent delivers a return

In the realm of user acquisition (UA), success is not measured by installs but by the eventual ROI and ROAS attributed to channels and campaigns.

While attribution tools protect against install-based fraud, CPA fraud isn’t properly solved.

Quago detects post-install CPA fraud accurately, within the first 24 hours, without compromising user privacy, allowing game publishers to optimize campaigns and get reimbursed for fraudulent ones.

WIth Quago you can:

  • Quickly identify in-game CPA fraud (post install)
  • Provide clear evidence of fraud to be reimbursed by ad channels
  • Optimize UA campaigns based on pLTV score as soon as 24 hours from initiation

Make smarter decisions Eliminate in-game blind spots

Ultra accurate predictions:
  • pLTV scoring
  • Churn prediction
  • Engagement levels
Emulator, joystick and external device detection 
Skewed analytics Correction
Real-time authentic player verification
Auto identification of fake users, scripts and commercial fraud 
Frustration levels identification in real-time
Account selling / sharing detection
Player skills identification

ML based technology: a new level of data and insights

Machine learning is leveraged to make sense of billions of sensor-based, physical signals that represent player interactions with their device while playing

Quago hunts for patterns, looking at data coming from the device touch metrics, accelerometer, gyroscope, device tilt, and more – to understand player behavior and motivation, in a way that no other game analytics platform can.

The system is trained on over 100 Million DAU and knows how to generate insights based on historical data coming from millions of players

Scale-tested and trusted SDK

  • Patent pending technology
  • Battle-tested on top tier games
  • Light SDK – ~1 MB
  • Negligible CPU consumption (~0.1%)
  • Negligible battery consumption
  • No impact on performance and stability
  • Privacy compliant – no collection of PII
  • No dependencies, all the code is in-line and optimized

Cross-Platform Support:
Console, PC, and Mobile

What type of Data does Quago collect?

- Smart collection via lightweight SDK
- Metadata such as emulators & external device detection
- Motion events
- Sensors such as changes in battery, magnetic field, gyroscope, and accelerometer.
- App lifecycle
- All data is non-PII, non-private, and does not allow the identification of users.
- Fully compliant with GDPR and Apple's latest privacy manifest requirements.

Who owns the collected data: Is it Quago or the customer?

The customer fully owns the collected data. Quago is only a sub-processor of the data that analyzes the data on behalf of the customer.

What’s the SDK impact on the app and device?

Quago’s SDK is battle-tested on tens of millions of devices daily on some of the biggest games out there. We put a lot of attention into ensuring our impact on the game is practically negligent.

The details:
- SDK size of approx 1 MB
- Negligible battery consumption
- Negligible CPU usage
- No libraries included on the SDK. All code is written natively to avoid dependencies
- No user permissions are required from the user to run the SDK
- No changes to the app submission to the App store and Google Play
- Network consumption on average: 5.8KB per minute on Android and 5.3KB per minute on iOS

Which platforms are supported by Quago?

Mobile, Console, and PC.

Does Quago collect PII and personal data?

No PII is collected. The users cannot be identified through Quago's data.
Quago is fully compliant with GDPR and Apple's latest privacy manifest requirements.

How is the data collected by Quago delivered and analyzed?

The data is analyzed in Quago’s inference engine in the cloud.
To keep SDK impact as minimal as possible, there is no processing on the client side.
Two options are supported for sharing the collected data from the client to the backend:
1. Data is sent directly from the client to Quago’s backend.
2. The data is routed through the client App to the App’s backend and then forwarded to Quago’s backend.

What methods are supported for sharing real-time results?

- Pull: Our system allows users to retrieve information as needed through Quago’s API in real-time.
- Push: Our platform proactively sends information automatically on every relevant event.

For aggregative non-real-time results, Quago can provide detailed daily/weekly reports and a comprehensive BI Dashboard.

Does Quago use its customer's data to train other AI modules?

No, Quago keeps the data of each application completely separate.

Ready to get started?
Let’s talk