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Media & Entertainment
8 Oct 2026•6 min read
The Broadcast Is Not the Test. It Is the Result of the Test.
By Abhishek Hegde
Mobile apps account for a majority of digital media time spent in the US. According to Comscore, app audiences spend more than 3 hours per month on the Top 1000 apps on average – about 18x greater than what mobile web visitors spend on their Top 1000 properties.
However, it needs to be said that app engagement remains a challenge for most apps: the average Android app loses 77% of its daily active users (DAUs) within the first three days after the install, and 90% within the first 30 days.
In this context, comes the news that time spent on using the top 100 apps increased by nearly 10%. According to a report from Opera Mediaworks, the time spent per day has reached 33.5 minutes per day in mobile apps that fell into the Top 100 ranking of their platform. The catch is that such an increase is only seen in the most popular apps. Chances are, most app owners are still struggling with issues like app discovery, install and retention. A robust process implemented way before the process of app development begins is one way to improve the chance of app engagement.
Other highlights of the report include:
The report goes on to say that many brands are looking beyond app installs as the key metric and optimizing for post-install events that add to the value of each user. Post-install event optimization can fall into three buckets: retain, engage and monetise. Each of those objectives can have further goals such as activation, registration, tutorial completion, level achieved, reservation, add to cart and so on.
Check out the infographic below on the summary of trends. Download the full report here.
By Neha Gargi
RESOURCES
By Abhishek Hegde
By Ivan Pinto
Most conversations about AI delivery focus on what the delivery partner brings to the engagement. The methodology, the toolchain, the engineering practice, the governance standards. We have written elsewhere about what Robosoft brings, and about the standard we have built ARIA around.
By Srinidhi Rao
Most organizations evaluating AI delivery partners are asking the wrong question. They tend to ask which tools a firm uses, when the question that actually matters is what standard the firm is operating to.
A tool is a productivity bump. A standard is what shapes whether the work compounds or stays flat. It is, in our experience, much of why AI projects fail to move past the productivity bump. Firms producing genuinely different outcomes with AI today are doing so because the same operating rules run through every decision, every gate and every phase of the work.
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