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.
Product Managers, especially those in start-ups, have no easy job to do: product tweaks, project management, QA, release notes, you name it. With such a dynamic and all-encompassing role, things can get tricky. So much so that, in a recent poll we conducted via LinkedIn, we found out that “Testing and Launch” is the second most problematic stage in the life of a digital product, according to almost 27% of product managers.
The EU’s General Data Protection Regulation is approaching its 4th year anniversary since it was implemented in May 2018. Since its inception, it has been hailed as a groundbreaking framework for making users’ rights on the Internet a human right. Its impact in many other markets has been undeniable and it truly has affected how the world of the Internet works, even outside EU borders.
Almost 6 years ago, the European Union’s General Data Protection Regulation (better known for its acronym, GDPR) changed the world of personal data protection forever. The groundbreaking ruling has since been replicated, albeit with changes, in over a dozen other markets.
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?
