If you work in digital marketing, you’ve heard of Databox. Maybe you’ve even used Databox. It’s a pretty neat online marketing analytics tool - convenient, timely, interactive, and groundbreaking in many ways. However, it’s not the best option for all businesses.

Analysis is the most overlooked part of sales and marketing strategies. Knowing what’s working -- and perhaps more importantly, why -- ensures you’re not throwing your money away on crappy campaigns. And what’s a better source of smug satisfaction than a chart showing how great your campaign is performing?

In simple terms, an A/B test compares two versions of a web page to see which one performs better. (Let’s call them version A and version B.) The tester shows the experiment to users at random. The tester then uses statistical analysis to determine which version performed better.

The Internet of Things, in a nutshell, describes the interconnectivity of devices in the home, office, factory, and throughout the world. The IoT allows devices to "talk" to each other, allows data to be available anywhere at any time, and gives users (and devices!) remote control over technology.

It makes automation very simple - but it also raises a number of privacy concerns. 

At the end of 2016, unsavory things are coming to light about social media advertising - Facebook in particular. Over the last few months, Facebook has come out saying some of its metrics were miscalculated. This leads publishers and advertisers to ask a few questions:

Radius, an up-and-coming SaaS company that specializes in predictive marketing software, collaborated with Forrester Consulting to produce this infographic on the impact of predictive analytics. First, let's go over the basics of predictive analytics.

Google Analytics is one of the best free tools that any business can have, hands down. It tracks nearly every action on your website including the things most important to business owners. They want to know how much traffic do we get, how do they get there, where do they come from, what do they do when they are there. Google Analytics will tell you all of that AND MORE!

If you are using Google Analytics and are now tracking demographic information, start using the filtering feature to better understand your website's user experience based on their age. A 25 year old will have a different experience on a website than someone 60+ (in many cases), so by clumping all of that data together you aren't getting a true picture. In compiling these reports you may save yourself from jumping to conclusions that maybe aren't true.