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24metrics Hits 4.2x Higher Fraud Detection Accuracy

DoiT guided the team through Google Cloud AutoML to ship real-time ML fraud detection in 2 months instead of 5+.

The Challenge

24metrics needed to enhance their rule-based fraud detection with machine learning to predict user quality early and stop evolving fraud schemes. With only 8 engineers and no ML expertise, they required a trusted partner to guide them through building these capabilities on Google Cloud.

The Solution

DoiT provided comprehensive support through a dedicated Slack channel and guided 24metrics through Google Cloud AutoML implementation. The team helped define the problem scope, recommended the right tools, analyzed training results, and ensured cost-efficient deployment of ML models.

Results

Reduced project timeline from 5+ months to just 2 months
60% of existing user base adopted new ML-based services
Achieved 4.2x higher accuracy than traditional methods
Delivered 7x faster results for fraud detection
Attracted new customers specifically for ML capabilities

We thought this project would take more than five months and involve more engineers. But with close support from DoiT, it ended up being quite easy and much faster than expected. It only took us two months to build the machine learning algorithm and deploy the new feature.
Stavros Charitakis, Engineer, 24metrics

The fraud detection challenge

About 20% of marketing spend is lost to digital ad fraud. 24metrics helps businesses detect fraudulent traffic with proprietary rule-based algorithms, but evolving threats required machine learning capabilities to predict user quality early. With only 8 engineers and no ML expertise, the team needed a trusted partner to guide them through building these capabilities on Google Cloud.

Finding the right partner

24metrics runs all services on Google Cloud using microservices on Google Kubernetes Engine. They needed ML expertise to leverage Google Cloud's capabilities. DoiT International stood out for their deep familiarity with 24metrics' Google Cloud setup, attractive pricing with no extra cost, and excellent support team.

Rapid ML implementation

DoiT set up a dedicated Slack channel for non-bureaucratic collaboration and provided comprehensive guidance on Google Cloud AutoML. When initial results didn't meet standards, DoiT helped analyze issues and recommend alternatives. The team guided 24metrics through exact deployment steps, ensuring cost-efficient implementation.

Exceptional customer results

The new ML capabilities delivered immediate value. 60% of existing customers adopted the new services, experiencing 4.2x higher accuracy than traditional methods and 7x faster results. Customers can now set executive dashboards to observe campaign metrics and user quality in real-time.

Business impact and growth

The ML feature became a unique differentiator, attracting new customers specifically for this capability. It directly improved revenue and client retention. The solution enables businesses to stop fraud before it happens, with intuitive task reports helping customers quickly see campaign improvements.

Future innovation plans

24metrics plans to expand ML capabilities to add more anti-fraud filters and adapt solutions to new industries, especially e-commerce. With the ability to predict purchase values, they aim to help online stores improve conversion rates, becoming a one-stop shop for campaign effectiveness optimization.

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