Developed using ad monetisation data from over 350 apps that AnyMind Group supports, the AI Optimisation feature automates settings and adjustments traditionally handled manually by ad operations staff.
Staff Writer less than a minute ago

AnyMind Group, a BPaaS company for marketing, ecommerce and digital transformation, has announced the addition of a new AI Optimisation feature for app developers on its media and mobile app growth platform, AnyManager. In testing, the AI feature reduced operational workload by 84% while maintaining ad revenue.
Developed using ad monetisation data from over 350 apps that AnyMind Group supports, along with operational expertise, the AI Optimisation feature automates settings and adjustments traditionally handled manually by ad operations staff. This enables app developers to improve ad revenue while reducing operational workload.
Typically, adjustments for areas such as ad placement and frequency have been executed manually based on factors such as eCPM and impressions.
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With the AI optimisation feature, app publishers can leverage a solution that automatically determines and applies optimal ad settings, eliminating the need for specialised or institutionalised knowledge and enabling high-precision ad operations, reducing dependency on individual expertise and improving efficiency.
Between July 2025 and August 2025, AnyMind Group’s Japan-based publisher trading desk, FourM, tested the AI Optimisation feature on apps developed and operated by the company.
The results showed reductions in workload while maintaining the same level of ad revenue as if done by a human. This includes:
- Reduction in operational workload: Reduced from 60 hours to 10 hours (approx. 84% reduction).
- Automation of traditionally manual tasks: AI automated many tasks previously handled manually, including analysis, research, and configuration.
- No change to ad revenue: Maintained at the same level as manual operations, demonstrating efficiency without compromising quality.