This solution involves creating an AI-powered analytics platform that game developers can integrate into their games to continuously monitor and analyze player interaction and satisfaction levels with current monetization models.

The platform uses machine learning algorithms to identify patterns and generate insights about player behaviors and preferences.

It then suggests adaptive monetization tactics, such as dynamic price adjustments, reward timing optimizations, and personalization features that align with individual player journeys.

These suggestions are based on real-time data and predictive analytics, ensuring that monetization strategies are seamless parts of the game narrative or player progression, thereby enhancing satisfaction and engagement.

This framework allows developers to implement monetization strategies that genuinely complement and enhance player experience, leading to higher player retention and satisfaction.

It shifts the focus from intrusive monetization to an integrated model that players find rewarding and enriching, providing a competitive edge in user experience.

The technology underpinning this solution is feasible given the current advancements in AI and data analytics, though initial integration into game development cycles may require dedicated resources and time.

Cost could be a barrier for smaller studios, but the value proposition outweighs the initial investment for medium to larger developers.

There is no significant regulatory hurdle associated with this solution.