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The world of mobile gaming ads is experiencing a quiet revolution. While the overall growth in ad spend has been modest, innovative strategies are gaining momentum among advertisers. Key among these is the rise of playable ads and the extension of campaign durations—a trend reshaping the landscape of mobile gaming advertising.
By harnessing the potential of in-app messaging, businesses can optimize user acquisition efforts, bolster their retargeting campaigns, and ultimately cultivate a more substantial and loyal user base.
Let’s delve deeper into the top 10 trends shaping the mobile gaming industry, influencing user engagement, technological advancements, and marketing strategies. By understanding and leveraging these trends, mobile app marketers can strategically position themselves for success and innovation in the evolving realm of mobile gaming.
In the fast-paced world of mobile app marketing, understanding cutting-edge technology can make all the difference in achieving successful advertising campaigns. One such area that is gaining traction is the use of neural networks and deep neural networks in mobile advertising. But what exactly are these technologies, and how do they differ? More importantly, how can they impact your advertising strategies?
Numerous industries are harnessing the immense potential of deep learning to fuel innovation. As computing power and datasets have significantly expanded, deep learning has transitioned from theory to practical applications. Whether enhancing manufacturing processes or refining mobile advertising strategies, deep learning offers opportunities to boost efficiencies and foster growth in various business sectors. Below, we unveil how neural networks with deep learning algorithms are poised to drive groundbreaking machine learning innovations for mobile advertising in 2024.
Tracking essential metrics for mobile app performance is crucial to guarantee a favorable user experience, boost engagement and retention, optimize revenue generation, and remain competitive in the constantly changing mobile app environment.
The rapid expansion of artificial intelligence (AI) has revolutionized diverse industries, notably mobile marketing. Through AI advancements, machine learning is now integral to data analysis and implementation in mobile marketing. This evolution is reshaping online advertising, prompting mobile marketers to adopt innovative strategies and technologies. Understanding AI’s significance in the marketing evolution is crucial for competitiveness in the mobile app industry.
Artificial Intelligence (AI) is at the forefront of transforming the landscape of mobile advertising, playing a pivotal role in driving significant change within the industry. Its influence extends across various critical areas such as campaign optimization, audience targeting, fraud prevention, and enhancing creative components, showcasing the multifaceted impact AI has on mobile advertising strategies.
Crafting a compelling ad for your mobile game can forge a strong bond with users, a pivotal factor for triumph in the mobile game industry. A captivating ad not only attracts the right audience but also enhances organic user acquisition, leading to optimal ROI. Furthermore, monitoring the performance of mobile game ad creatives can unlock the full potential of your game.
For years, focusing on user acquisition (UA) has been a key strategy for mobile game publishers to attract valuable players. This approach thrived on the abundant user data that powered their successful marketing efforts. However, recent privacy changes by Apple, and now Google have limited access to this data, prompting marketers to adapt their tactics to meet performance goals and rethink the role of AI in achieving success.
Want to grow your app’s user community? You’ll want to employ a user acquisition funnel—a strategic setup designed to captivate and convert newcomers to your app. It all starts with raising awareness about your app, nurturing potential users’ interest, stirring their consideration, and finally prompting them to act and install your app.
There are numerous strategies employed in the acquisition of users. Some of the most popular methods include influencer marketing, paid advertisements, social media campaigns, and search engine optimization (SEO). These strategies require a detailed understanding of your target audience to effectively reach and engage with them.
The technique known as cross-device targeting involves the identification and subsequent delivery of advertisements to individuals across this array of devices and platforms. Statista forecasts that by the start of the next decade, an average person worldwide will have close to 7 devices connected to the network. This projection presents advertisers with the formidable task of engaging with consumers in a consistent and impactful way across every device they use.
Remarketing and retargeting are similar in many ways, but they do have some subtle differences. While they are often used interchangeably, remarketing generally refers to reconnecting with users through email. It involves targeting individuals who have previously engaged with a website or social media account, using personalized messaging. Remarketing emails nurture leads, encourage repeat purchases, or re-engage inactive customers.
With a wide range of options, from DSP to social media, navigating the landscape of mobile app marketing and connecting with your target audience can be difficult. Here are some top app distribution channels to help you identify the best marketing platforms for promoting a mobile app:
Game developers nowadays are discovering innovative ways to monetize their titles, acquire users, and improve development efficiency using a model called Play and Own (P&O).
In June 2023, Apple held its WWDC event and shared some updates on its latest plans to increase user privacy. Naturally, these announcements will significantly impact mobile advertising and the entire ad-tech ecosystem. At Bigabid we follow these updates and constantly analyze their impact on our customers and the service we provide.
Mobile app feedback is essential for delving into user experience. As an app developer, you are likely familiar with the significance of contextual user feedback. When combined with behavioral data, it can provide more insights into user experience and app performance compared to traditional techniques.
The usage of AI in mobile app development is widespread. It serves to resolve common user queries and improve their daily routine. By collecting and analyzing information from mobile devices such as contacts, location, and activities, AI can aid in enhancing user satisfaction. AI-based apps have the capability to accumulate and examine the data from customer interactions to facilitate human requirements.
Seasonal creatives have been shown to be highly effective in improving return on advertising spend (ROAS). Successful holiday creatives, such as those for single-day events like Easter, see peak performance over everyday creatives. Even more impressively, successful seasonal creatives can stay at the top for an average of 5 weeks.
In this article, we’ve provided a recipe for selecting the right technology or vendor for your business. By carefully mapping out your needs, resources, and constraints, and exploring potential solutions, you can make an informed decision that aligns with your goals. It’s important to keep in mind that there may not be a perfect solution, but rather a solution that fits your specific context and needs
Where should you publish first? What store will give your app the best chances for success? Understanding the differences between these two major app stores is essential for app developers and marketers. This article will outline the important difference to help you grow your app.
Despite challenges, 2023 will be a time for greater ideas, more comprehensive solutions, and harnessing technological opportunities in mobile app marketing. In this article, we will discuss the future of mobile gaming and non-gaming app marketing and share some key predictions for the upcoming months.
In this blog, I’ll teach you how to avoid dumb SQL syntax errors automatically. We will check the validity of each of our queries before we merge the code into production. The code for this article can be found on GitHub.
In this post, I will present why it is difficult to build trust in machine learning projects. To gain the most business value from the model, we want stakeholders to trust it. We want to provide defensive mechanisms to avoid problems impacting stakeholders and to build developers’ trust in the product.
This brief article will define the difference between all three and help illuminate best practices when utilizing these metrics.
App developers depend on a steady stream of ad revenue to be in business. Besides working with ad networks and partners to deliver the highest eCPM, publishers need to achieve the highest possible ad fill rates to maximize their ad revenue.
This brief article will define hyper-casual games, where they came from, and most importantly, how they can be monetized.
2022 has seen a challenging market hampered by the economic downturn, rising inflation, a war in Ukraine, a post-covid slump, and the remaining aftershocks of Apple’s privacy changes. But as they say, “when the going gets tough, the tough get going”.
Most Mobile marketers work tirelessly to increase their app’s conversation rate. The conversation rates they’re chasing could apply to app store installs, in-app purchases, subscriptions, etc., but the idea is the same… get your prospect to complete an action that converts them to a paying customer.
This article will outline what ads.txt is, how it works, its use in the mobile space, and uncover the app-ads.txt solution.
Mobile ad mediation is a mobile app monetization solution that allows app developers (publishers) to set, manage, and optimize multiple mobile ad networks with only one SDK (software development kit) integration.
In recent years, programmatic advertising has gone through rapid changes. With the onset of RTB and Header-Bidding technologies, auctions have grown more complex. If Publishers and buyers haven’t opted for fixed or pre-auction deals, the auction will be dynamic, where buyers bid for advertising inventory at different rates. This article will expose the benefits and pitfalls of both.
A programmatic waterfall (aka daisy-chaining) starts with a chain of ad networks/exchanges arranged in order of their performance for any given publisher from top to bottom. The network/exchange performance is typically rated based on CPM, fill rate, latency, etc.. Ad impressions are passed from network to network, from top-rated to bottom-rated ones until they’re sold.
Israel Mobile Summit is the ultimate event for everyone in the apps/games/adtech ecosystem. Whether you’re a publisher, developer, app marketer, startup, or VC, the summit features sessions on how to grow and monetize your apps using advertising and in-app purchases, how to analyze your data, as well as how to acquire and maintain more users.
If you’re looking to enhance your mobile app marketing campaign ROAS and deliver the best possible experience to your users, then understanding user segmentation is key.
As we depend more and more on ML (machine learning) in big business, we are beginning to see the effect of some big business ML failures. 9-figure ML-induced losses are becoming a trend like the recent Unity 110 M loss, Zillow’s recent ML failures, and many more. Considering this disturbing trend, we thought it pertinent to share how Bigabid approaches ML data quality, real-time and near-real-time monitoring, and performance by segment.
Many DSPs (Demand-Side Platforms) specialize in either UA (User Acquisition) or RT (Retargeting) technologies but not both. Running UA and RT campaigns in isolation can lead to misattribution, redundancies, and therefore a wasted spend. Bigabid advocates running UA+RT in harmony, and here are five reasons why!
Benchmarks can be CPI, ROI, or any other KPI that is important to the client. Sharing what ROI other vendors are reaching does not disclose any sensitive information such as budget or even strategy and is completely anonymous.
With proprietary tools like Deep Categories, which uniquely categorizes apps into thousands of categories instead of the 50 or so that the app stores use; Real-Time Data Analysis, which analyzes terabytes of data in real-time; and Creative Personalization, which creates thousands of ad variations to find the perfect fit…
In the past 3 years, we’ve collaborated with game app developers, designers, analysts, and monetization experts to give our proprietary ML (machine learning) technologies the edge in the social casino app industry
A Game-Plan to Scaling in a Responsible Way. Scaling up your platform is a necessary part of the evolution of your company. Moreover, scaling should be something that’s always on your mind.
How to deal with scaling on a day-to-day basis. You’re now managing a scaled system. Congratulations! But wait—don’t throw your feet up just yet.
While heatmaps are hardly a new concept in digital advertising, their advantages are often forgotten and they’re rarely used for in-app user acquisition. In this article, we survey some of the ways in which heatmaps can be beneficial to your performance strategy.
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