Mid Roll Ads: What Are They and How to Nail Them to Perfection

Explore mid-roll ads: understand their significance, how they function, and tips for maximizing their impact in your marketing efforts.

Map a Successful App User Journey in 7 Easy Steps

Learn how to create an effective app user journey map in 7 simple steps. Boost user engagement, retention, and satisfaction with our comprehensive guide.

Mobile Advertising Guide 2024: The What, Why, and How

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

In-App Advertising: How to Go About It and Track It the Right Way

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

Mastering Mobile App Analytics: Key Metrics and Tools You Can’t Ignore

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

How to Increase App Downloads? 6 Underrated Tips That Work Today!

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

What Is Cohort Analysis?: Definition, Types, and 6 Best Practices

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

IDFA dead or not? What are the changes in IOS 14.5?

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

Analyzing Mobile App Metrics for Better Decision-Making

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

Predictive Analytics: What It Is and Why It Matters?

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