Do you aspire to create a product that's universally hated? Are you aiming to evoke feelings of exasperation, frustration, and downright dislike among your users? If you've been losing sleep, wondering how to really irk your user base, then this is the guide for you! In this rather unconventional manual, we’re going to flip the script and steer away from the age-old adage of 'the customer is always right'.
Product analytics, as a pivotal component in the modern digital business ecosystem, empowers organizations with data-driven insights to make informed decisions and craft superior user experiences. Particularly, A/B testing and conversion rate optimization (CRO) are critical techniques for fine-tuning mobile applications. This article delves into the technical aspects of implementing and analyzing these strategies, specifically within a mobile context.
In our data-driven world, the landscape of product analytics is rapidly evolving. With the rise of Artificial Intelligence (AI) and Machine Learning (ML), we're seeing a seismic shift in how businesses approach product development and enhancement. But how does AI and ML fit into product analytics, particularly for non-technical business leaders and marketers? And more importantly, what does this mean for the future?
The fast-paced world of digital technology necessitates dynamic and responsive approaches to data analysis. In this light, cohort analysis emerges as a formidable tool, providing meaningful insights when blended with real-time analytics. This fusion is especially beneficial for digital enterprises like Countly's users, who operate within a highly volatile environment.
Push notifications have steadily solidified their role as a pivotal element in business marketing strategies, offering an immediate, unfiltered line of communication with customers. However, there is a delicate balance to maintain between efficient push notifications and those that are merely intrusive. It is here where personalization and A/B testing, among other considerations, become instrumental in honing the effectiveness of these real-time messages.
In the first part of this article, we delved into the importance of data privacy for children's apps, examined prominent regulations like COPPA and GDPR-K, and offered practical advice for parents and developers to safeguard children's data. As indicated by the title, this second part aims to elucidate the exceptional qualities of Countly as an analytics tool specifically tailored for the kids gaming industry.
DB Viewer is a plugin that provides a UI to browse databases. But it is also a great option to access Database data through REST API, for example, to export data. In this article, we will explain how to navigate the data scheme and find all the needed information to export events and their granular data from Countly. Let's say you have some other database, and you want to populate it with data from Countly. Or you just want to prepare some kind of report through a third-party application.
The scope of mobile devices has reached beyond the realms of standard smartphones and tablets, venturing into the exciting worlds of wearable technology and IoT devices. As the landscape of mobile tech expands, so does the significance of mobile analytics. Here at Countly, we understand the power of these analytics to provide businesses with a lens into user experience, fostering data-driven decision-making and allowing us to fine-tune our offerings continually.
Do you ever notice how children have become more glued to gadgets than any generation before? Being highly exposed to digital experiences, including educational and entertainment applications comes with the need for more privacy protection for children's personal information.
