Business metrics provide a quantifiable way to measure the success of a business. They help organizations to track their progress internally while also serving as a way to communicate the performance of a business to stakeholders and external parties. There are hundreds of metrics that could be factored into these calculations, but they need to be specific to an organization to be effective.
As a product analytics solution, establishing a strong sense of trust is vital to what we do. It provides the foundation for the relationships we build with our clients, which in turn allows our clients to confidently provide the services they need to their customers. Data privacy and security are both key components of building a level of trust that is essential for both our customers and ourselves as a company.
When thinking about a product analytics solution, an essential component of the process lies in deciding between two types of data storage: cloud or on-premise. Each has its advantages and disadvantages depending on a number of factors, such as the stage or size of a business, budget, etc. Before we can tackle these variables, we should understand what each option entails.
If you currently work as a product manager, are thinking about a job in product management, or work with product managers, one thing is certain: you will hear a different definition of what a ‘product manager’ is (or does) from each person you ask. Is the product manager the “CEO of the product” (which is a broad and misunderstood definition), the person who manages the product (a much narrower view of product management), or both?
A/B testing is the most effective way to observe users’ behavior with two or more different versions of the same screen or in-app experience. It can help you test variations of an item, generally UI based, to determine which one performs better. Directing some users to version A and others to version B allows you to observe user behavior for each.
“What should you and your business focus on when trying to create better customer journeys and beat competition?” That was the question we asked Countly data captains (also known as Countly customers) when trying to determine how well they collect customer experience metrics and how well they were using that data to make data-driven decisions.
Some time ago, we covered the key metrics that a Product Manager in a fintech organization should make a top priority when determining their KPIs, breaking them down into five groups: Session-based data, Customer Feedback, Technical Metrics, Action Stats, and Revenue. With that in mind, we conducted a series of surveys on LinkedIn, asking PMs in the fintech industry which of those groups were the most important for them while running digital product analytics.
Ever wondered what it would be like if we weren’t able to see all of a sudden? Being born blind and facing blindness and low vision at a later stage are very different experiences. When you first feel the loss of vision, the panic and the helplessness are real. It’s that feeling of losing something important that we took for granted. Let’s just take a moment to appreciate that we can read this all thanks to our healthy eyesight.
Cybersecurity research website CyberNews recently interviewed Countly’s CEO, Onur Alp Soner, discussing everything from Countly’s origins to the role of cybersecurity in product analytics and how this might shape digital products in the near future.
Never before has data become so prevalent in everything we do. Sorting out the best way to make sense of incoming terabytes of data has turned into an extreme sport. Likewise, it has become a life-or-death decision in every organization, regardless of their level of maturity, to determine an analytics strategy to harness the potential power of all that data without running the risk of overwhelming teams and paralyzing processes.
