Trove Insights

Marketers are forever looking to leverage the lucrative opportunities in the ever-expanding mobile industry. The mobile ad spending is expected to surpass $235.7 billion by 2025 growing at a CAGR of 12% (between 2022 and 2025).  However, the unprecedented growth and intense competition make it tough for marketers to navigate

With 82% of mobile ad impressions coming from them, in-app advertising comes across as one of the fastest and most effective mobile advertising tactics. It serves as a powerful tool for app user acquisition.  And why not? In-app advertising lets you capture users with laser precision and level up the

With 8.93M mobile apps hustling for user attention, it’s getting tougher for mobile app owners and marketers to improve retention and stay competitive. Naturally, this means app owners must build an exceptional app experience to stand out from the sea of apps available today.  This is possible with a thorough

As a mobile marketer, there is no bigger accomplishment than seeing your app getting downloaded thousands or millions of times. But no app achieved that feat overnight. Several challenges threaten the mobile app marketing landscape currently, but none as prominent as high user abandonment rates, data privacy concerns, and ad

The mobile ad spending share in the total spend on digital advertising is expected to reach 68% by 2027. For mobile app marketers, marketing attribution is essential in understanding the most essential factors driving the performance of their mobile app. A proven way to reduce the attribution process’s complexity is

With the spiking rise in privacy concerns and bombarding advertising promotions based on data accumulation, customers are becoming alarmed about their information’s safety. Apple is one company that took the initiative and altered its privacy policy with proactive indicators. The company successfully safeguarded their customers while giving an impactful space

Tracking mobile app metrics gives businesses a comprehensive idea about behavior, preferences, and app performance. Through this businesses can work on improving their user experience by understanding the way your users engage with your app. They can identify aspects of improvements and make data-driven decisions. This way businesses can evaluate

Using data, statistical algorithms, and machine learning approaches, predictive analytics determines the likelihood of future outcomes based on historical data. The objective is to provide the most accurate prediction of what will happen in the future in addition to understanding what has already occurred. History of Predictive Analytics and Recent