#188: Smart Marketing for Smart Apps: AI Insights for 2024 with Günay Aliyeva, Co-Founder of Gamelight
Mar 4, 2024
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Discussing the potential of AI in mobile advertising with Günay Aliyeva, co-founder of Gamelight. Topics include AI in app marketing, the impact of generative AI, and the future of smart technology. Also, insights on smartphone preferences, app store evolution, and desired smartphone features.
AI algorithms revolutionize mobile marketing, enhancing user engagement and retention rates.
Generative AI tools like OpenAI SORA revolutionize video production and creative processes in marketing.
Deep dives
AI's Potential for Mobile Advertising and App Marketing
AI algorithms have revolutionized mobile marketing strategies, enhancing user engagement and retention rates. Gamelight's AI algorithm analyzes user data to match users with apps, ensuring users get apps they love and publishers attract loyal users. With the advancement of AI in the industry, companies are expected to shift towards AI-powered algorithms for more optimized targeting and better campaign results.
Evolution of AI in Various Industries
AI technology has rapidly progressed in recent years, impacting industries from astronomy to marketing. The advent of generative AI tools like OpenAI SORA has revolutionized video production and creative processes. AI's role in marketing extends to user acquisition and retention strategies, providing analytics tools and algorithms to enhance campaign performance and user loyalty.
Advantages and Limitations of AI in Marketing
AI tools offer immense support to marketing teams, enabling precise decisions and efficient campaign management. However, users must be proficient in utilizing these tools for optimal results. Adequate data input is crucial for AI algorithms to analyze and generate accurate outcomes, highlighting the importance of skilled personnel and sufficient data for successful AI implementation.
Challenges and Prospects in the App Industry
In the app industry, the dominance of Google Play and App Store restricts innovation and experimentation due to stringent policies and fees. Gamelight's co-founder advocates for a more open ecosystem with diversified app stores, allowing developers more freedom to explore new features. As the industry adapts to evolving regulations like the Digital Markets Act, there is potential for increased innovation and competition in the app market.
We live the world of smart things - smart homes, smart cars (and I don’t mean the Smart car brand from Mercedes, in general - fleets of electric vehicles from Tesla, Rivian, Polstar and so on that are full of high tech that makes them smart). The list wouldn’t be complete if I wouldn’t mention, right - smartphones and apps.
Before late 2022 we thought we saw it all and than ChatGPT happened - boom! People who didn’t follow AI research and development (meaning the majority of population) were shocked by what it was capable of doing and quite frankly they haven’t seen what it can do for science and medicine yet, mostly the focus has been on generation of text for marketing, online publication and so on.
In this episode, we have Günay to talk about AI potential for mobile advertising and app marketing.
Today’s Topics Include:
Günay Aliyeva's background
What is Gamelight
Günay's thoughts about the state of AI and Generative AI in particular
The role of AI in mobile advertising
How does AI fit into mobile app marketing
The cons and externalities of AI in mobile advertising and app marketing
What Günay would like to change about mobile tech the most
Android or iOS?
Leaving her smartphone at home, what features would Günay miss most?
What features she would like to see added to her smartphone?
"And it's going to get just easier for image and video makers to perform better and to get better results and put their focus on something more strategic and something where we actually do need human input. You don't need actually a human to sit and click so many times to create them. So it's it's just much easier for UA managers to do their job and perform better if they have all of those tools in hand."
"There's always a need for a human who will direct it in the right direction and know how to implement the outcomes or what kind of data needs to be input to get what kind of results."