The mobile games industry has embraced AI models, with the utilization of neural networks expanding into various areas, including marketing. These AI models are capable of teaching computers to process data in a manner resembling human thinking, leading to enhanced authenticity in their applications beyond asset creation and coding.
In a guest post by Playkot’s marketing production lead, Igor Mosin shares insights into how their studio effectively uses AI tools to increase productivity in mobile games marketing. Mosin discusses several case studies showcasing Playkot’s integration of neural networks and offers practical advice for others looking to implement similar strategies.
Playkot began experimenting with neural networks in marketing in 2023, initially using Midjourney to generate ideas for Spring Valley, a mobile farm game with expeditions. Through various case studies, Playkot discovered the benefits of quickly adapting trending themes to their projects, allowing for efficient testing and results acquisition.
Utilizing neural networks has enabled Playkot to speed up and enhance various marketing tasks. They have leveraged tools like Midjourney and Stable Diffusion for tasks such as producing static creatives, enhancing backgrounds, upscaling images, improving video quality, and developing in-game objects quickly and effectively.
Key Uses of Neural Networks in Marketing:
- Production of static creatives
- Background enhancement and rework
- Upscaling and resizing
- Improving video quality
- Development of in-game objects
Playkot’s experiences with neural networks highlight the importance of rapid hypothesis testing on trends, the ability to quickly adapt art and characters, and the empowerment of professionals in the marketing team.
Furthermore, Playkot outlines their plans for further utilizing neural networks in marketing, including features like automatic location generation for videos, AI mockups, fast UI variant generation, and music creation.
Overall, Playkot views neural networks as a valuable tool that enhances the team’s skills and efficiency in marketing production, emphasizing the importance of integrating AI tools alongside existing solutions for optimal results.
Edited by Paige Cook
