Today’s apps aren’t as simple as they used to be 5 years ago … or even 2 years ago. There’s a lot of KPIs for mobile professionals to track and examine, from monetization efforts to usability to A/B testing (just to name a few).
In order to make the best data-driven decisions for one’s mobile app, mobile professionals need to equip themselves with the top app analytics tools in the industry. However, there’s one aspect of this whole app analysis process that should be quite easy, yet still has mobile professionals jumping through hoops: the process of researching and selecting one’s app analytics platforms.
One of the most difficult analytical challenges facing digital publishers is measuring the effect of quality on revenue and profits.
The “Marketing Channel” is the main entry point for any analysis on digital campaign performance in today’s Web Analytics world. But how good is a channel if you can only see how much money it earned you, but not how much you spent on it?
Web analytics, and our understanding of it, continued to evolve in 2016. We rely more and more on analytics for transparency and direction and, without it, our online lives and businesses would be distressingly opaque.
Big data is now omnipresent. It is embedded into our day-to-day lives as the hard-wired DNA that fuels our business processes and decisions. Data-driven cultures went mainstream in 2016, with organizations scrambling to establish data strategies that enabled all employees to make better informed decisions. Yet despite all of the hype, the majority of organizations still have a long way to go before realizing the potential that big data holds.