Research: Analytics

15 seconds. That’s how long 55% of users stay on an unfamiliar Web site before bouncing. Think about that—you spend time, money, and effort to bring people to your site, only for them to vanish in less than a minute. What makes new users leave? What makes other users stay longer? And, most importantly, how can you increase the duration of visits?

The answer to all these questions lies in understanding what users actually do when they land on your Web site. The discipline that lets you gain this understanding is user-behavior tracking, which enables you to figure out what users click, how far they scroll down pages, and the exact point at which they lose interest. Read More

To retain their customers, retail companies are now interacting with them in new ways that speed up their operations and, ultimately, increase their profits. While businesses have designed their technology and data analytics primarily for use outside the store, they’re also making them work on the inside.

By using this technology, retailers can now process and analyze data both inside the store and online. People are no longer the only subjects of data analytics. The applications that customers use to interact with retail stores also leverage data analytics to better understand the business. As a result, retailers can now seriously reconsider their consumer experience through data analytics—for example, through the use of optimal inventory management and recommendations. Read More

In the quest to keep users engaged, many businesses rely on a mix of popular retention hacks and best practices. These might include frequent push notifications, loyalty programs, or gamification features. While these methods can provide some short-term gains, they often fall short in addressing the core issue of user retention.

The problem with these approaches is that they’re based on generalized assumptions rather than specific user data. What works for one app or Web site might not work for another. Each product has a unique user base with distinct behaviors and preferences. Applying generic strategies without understanding the specific user base is like trying to solve a puzzle while blindfolded. Read More