The KPIs that apply to each product are as different as products come. There are infinite variables that come into play when determining what exactly a KPI should be. Because these KPIs are centered around customer journeys, they are all user-based and purposely omit technical-based KPIs (such as crashes or errors). In a recent article in our Product Analytics Academy, we covered what makes a strategy a good one when understanding and choosing relevant metrics to form KPIs based on product analytics.

You have dedicated tons of man-hours to building your product and strengthening your service. You are trying to ensure that your application is useful but, above all, that it succeeds at making users come back for more. But then, *gasp*, they don’t! Why? What went wrong? How can you get them to come back?

It’s no secret that it’s much cheaper to retain a customer than get a new one — 5 times cheaper, according to Forbes. The paradigm however seems to be changing: retaining is not enough when there are a lot of easily reachable competitors out there. You need to go one step further: make customers loyal.

A lot of things got easier in 2021 as technology advanced tremendously to continue making the digital world more accessible and integrated into our everyday lives. But luckily there was something that got harder in 2021: being irresponsible with data. You see, with great power comes great responsibility, and as people’s data gets poured online, more and more restrictions appear to ensure that data is always safe, without exceptions.

Last year, we discussed how 2020 had been a year of adaptation, both to the new business challenges that came about by the pandemic and to the behavioral changes in all individuals. In 2021, adaptation gave way to adoption: of new technologies to better cope with business needs, of data-driven processes that guide product development, and guidelines for digital-first collaboration across teams with varying degrees of remote availability. What is there to 2022 that will make our heads turn?

We constantly hear about UX Analytics. Analytics must always be a part of the design process of an app from the very beginning. We also hear tons about UI/UX design. However, and definitely during a redesign, UI and UX changes based on product analytics need to run parallel processes. So how come we never hear about UI Analytics?

It’s not every day that something free gets more perks added and continues to be free. To break with that, we’re super proud and super excited to release Countly Community Edition 21.11, and with it, four new and seriously powerful features. This release is not just an upgrade, but proof of our commitment to keep democratizing product analytics and to deliver a state-of-the-art tool that everyone can use to deliver outstanding products on a budget.

Data is the lifeblood that runs through your organization. It powers automated workflows, gives customer service reps the full story every time the phone rings, drives every upgrade planned for a product, informs decision-making leaders on what to focus next, and an endless list of etceteras. Wouldn’t it be amazing to have all your data in one place? Yes. Can you? Well…. It’s complicated.

Until not very long ago, many organizations defined business strategies based on isolated figures used by isolated teams. Unfortunately for them, that approach just won’t cut it anymore. Instead, we are fastly moving to a world where data will be the critical asset for businesses, and handling it accurately will be essential to survival.

The development of a digital product has been redefined to involve only 4 phases, as TCGen and Product Plan propose: However, having an easier-to-follow process is not the only improvement that you can implement: cost and time efficiency can be taken a huge step further when you incorporate analytics insights. So, with this infographic, we propose some tools that can help you analyze data sets to enrich the phases of each development process.