Systems | Development | Analytics | API | Testing

A product analyst helps teams understand how users interact with a product — and turns that data into decisions that improve growth, retention, and user experience. They sit at the intersection of: Instead of guessing what users want, product analysts rely on behavioral data to guide decisions.

Artificial intelligence is changing how every team, from startups to global brands, builds, learns, and competes. But AI is only as powerful as the data it’s built on. That’s why we’ve rebuilt Countly from the ground up, to make data faster, smarter, and truly AI-ready.With Countly 26.01, we’re introducing our next-generation data engine: This release marks a turning point for Countly: from analytics to intelligence.

A few years ago, we looked across many deployments and noticed a pattern: teams would build prototypes, spin up ML pipelines, and then stall. The model’s accuracy dropped. The “aha insights” dried up. The data scientists would get stuck waiting for dashboards to refresh, or data to be cleaned.AI is sexy. It sells. But it doesn’t do itself. The missing piece? Data readiness. Not just fast data.

Knowing how customers behave is the unrefined oil of the data world, so having a tool that lets you understand and process it into measurable, actionable data can help keep the customers you have just as much as finding new ones. But how do you use customer engagement to maximize your product's value? There are three key steps: These key steps and more all come together to turn engagement metrics into an actionable source of data. Learn more about it here.

Choosing an analytics tool demands being conscious of the responsibility that comes with it. When you're handing over behavioral data about your users while relying on third-party infrastructure to manage it, and trusting that their policies and security remain sound, you cannot leave anything to chance. You'd also have to factor in possible scenarios like a vendor being shit down or changing direction, or whether you'll be able to extract your data. Will you be locked into a state of dependency?

In certain sectors, such as healthcare data is not just valuable—it's SACRED. The same goes for data analytics in the healthcare sector, where the stakes are incredibly high. Healthcare data analytics consists of the systematic analysis of any health-related data that can be used not only to improve patient care, but also to find a way to improve healthcare ops and make informed decisions based on the analysis of said data.

The digital landscape is changing. More and more, consumers are realising the importance of data privacy. This shift in mindset is something businesses must attune to if they hope to build strong relationships with their customers. The phasing out of third-party cookies by Google at the end of 2024 and global regulations like GDPR and CCPA tightening data collection mean companies that embed privacy as a core part of their operations have the most to gain.

At Countly, we’re passionate about empowering businesses and developers with analytics that work everywhere - even when the internet doesn’t. In a world where applications and devices don’t always stay connected, we’ve built robust capabilities to track user behavior and performance, no matter the scenario. From IoT gadgets in remote locations to industrial systems in secure facilities, we ensure you never miss a data point.

When people search for "best analytics tools," they usually find lists that include the same names: Depending on the month, some new or unexpected names may also appear. Regardless, they typically lead to a quick summary, showing off their respective pros and cons for each, and a link to their pricing pages. Useful basic information, sure, but what they do not do is show what matters most: Showing what your team needs to own, understand, and protect.

Most companies believe they own their customer data. Most are wrong. Data is your most powerful asset for fueling decisions, improving customer experiences, and providing a competitive edge. But if your customer, marketing, or product teams rely on third-party analytics tools, there’s a great chance you don’t actually own your data. It’s processed, stored, and sometimes even monetized by vendors who decide your access and control levels.