Case Study: Monobank achieves 20–30% reduction in fraudulent attribution and smarter campaign optimization with Adjust

A Adjust Case Study

Preview of the Monobank Case Study

How monobank uses Adjust to fight fraud

monobank, Ukraine’s first mobile-only bank, relied on performance marketing and a cost-per-action (CPA) model to acquire users and drive post-install account openings. With many traffic sub-sources to measure and higher CPA payouts making campaigns vulnerable, the team began seeing suspicious spikes in new accounts followed by immediate drop-offs and realized attribution fraud was undermining their acquisition efforts.

After consulting with Adjust, monobank implemented the Adjust Fraud Prevention Suite to block suspicious attribution and spoofing. The solution immediately blocked 20–30% of fraudulent attributions, freed budget to reinvest in genuine traffic, improved campaign optimization by quality, and gave the team confidence in their data—plans that include integrating Adjust’s SDK into their new UK app, koto.


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Monobank

Anatoliy Rogalskiy

Chief Marketing Officer


Adjust

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