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How does AI help startups?

Mobile marketing for small businesses or startups can be simplified thanks to the application of AI and machine learning algorithms.

ZNewsZNews21/03/2025

The advertisement illustrates an AI feature on a smartphone. Photo: Bloomberg .

The rise of AI is gradually transforming the mobile app marketing market, alongside automation technology and changing user behavior.

In a market with many emerging trends, startups and developers need smart and effective app marketing strategies to maintain growth momentum.

AI supports mobile marketing efforts.

“Traditional methods of engaging users, such as manual adjustments and targeting, are quite broad. However, with AI algorithms, we can analyze real-time data to allocate budgets more flexibly and optimally for advertising content, improving performance across multiple channels,” said Khai Le, Asia Pacific Sales Director at Mintegral, a mobile advertising solutions provider.

Alongside AI, automation is also changing how marketing campaigns are managed. Machine learning models can detect underperforming elements, thereby adjusting budgets toward better opportunities in real time. Additionally, AI improves creative strategies by personalizing advertising content on a large scale.

Despite offering opportunities, mobile game and app marketing is becoming increasingly complex due to fierce competition, rising user acquisition costs, and limited resources, especially for small businesses.

"With millions of competing apps, attracting attention and standing out in the market is not easy," said Khai Le.

mobile marketing la gi,  tiep thi di dong,  loi ich cua AI anh 1

The mobile marketing landscape is changing. Photo: Bloomberg .

Furthermore, businesses also face challenges in producing quality advertising content, optimizing marketing strategies, and effectively retaining users. That's why many companies are choosing AI and automation solutions to optimize their marketing strategies.

One such solution is programmatic ad buying, which helps businesses target precisely and optimize advertising costs. A prime example is Amobear, a growing game studio.

Mr. Tuan Nguyen, CEO of Amobear, stated that expanding into international markets presented numerous challenges. Penetrating new regions, adapting to market characteristics, and optimizing business operations for sustainable growth required a suitable strategy.

"With a relatively small team, we need solutions that can scale efficiently without depleting resources," shared Tuan Nguyen.

For businesses advertising on mobile, key marketing metrics include downloads, retention rates, profitability, and re-engagement. Several tools can support businesses in these activities, such as Mintegral AppGrowth, Target ROAS, and Mintegral Retargeting.

What should startups do?

In today's competitive marketing landscape, the key to startups optimizing their marketing strategies and generating revenue from their apps lies in leveraging new tools, adopting data-driven approaches, and focusing on user interaction.

According to Khai Le, startups should scale up their creative content production to meet the demand for high-quality advertising. Additionally, they need to focus on managing specific campaigns and using data for precise targeting.

mobile marketing la gi,  tiep thi di dong,  loi ich cua AI anh 2

Many factors determine the effectiveness of a mobile app marketing campaign. Photo: Bloomberg .

"In today's era, startups need to particularly embrace localization and cultural adaptation strategies to connect with diverse user groups."

"Expanding into new markets is not simply about translation; it also requires adapting content to suit the preferences and behaviors of local users," added Mr. Khai Le.

In terms of revenue, startups should explore a revenue model that combines in-app advertising with in-app purchases. Games often rely heavily on advertising, and integrating in-app purchases can help increase revenue without impacting the user experience.

Ultimately, startups should leverage AI tools to maintain agility and adaptability in a rapidly changing market. Machine learning algorithms can enhance user segmentation, predict behavior, and optimize advertising performance in real time.


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