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!

From exploration to execution, high-scale campaigns demand the symbiotic coordination of an experienced team and revolutionary AI. Bigabid’s RTB team has refined its methodologies and technologies to scale campaigns with confidence by baking in all the essential ingredients that our high-scale campaigns depend on.

Recent mergers and acquisitions involving gaming companies like Microsoft and Activision Blizzard and advertising companies like AppLoving, IronSource, and Zynga have furthered the shift towards the use of first-party data.

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…

App Tracking Transparency (ATT) is here to stay. Whether or not Apple is an altruistic champion of user privacy, playing war games with Facebook, or creating an unfair home-field advertising advantage is moot.

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

Today, Bigabid is hyper-focused on spearheading the use of ML to create a new generation of DSPs to target high LTV users in a more effective way than anyone else in the market.

Real-time data analysis adds an exciting performance-enhancing element to user acquisition. Targeting in real-time based on session features and Deep Categories greatly improves our pricing, and therefore, your ROAS.

The fact that Bigabid has been effectively using Deep Categories for a few years now, gives us a major advantage. We can spearhead this new era with our compliant, contextual-based technologies and help our clients have a smooth transition and ongoing success.

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.