Monthly Archives: September 2016

How to Avoid Data Analysis Paralysis: Separating the Wheat From the Chaff

Consider the following scenario:
You run an integrated marketing campaign promoting your new product. The campaign includes all possible online marketing channels – PPC, display, email, content syndication, PR and of course social media and SEO. You also throw in mobile ads and some in-app advertisement. You have a big budget and since this is a crucial campaign for the company, you run print ads that direct people to a unique landing page and invite your house list to a local meet up and a launch party.

Each URL is tagged and every campaign is tracked. Over the next several weeks leading up to and following the launch you collect all the data in your digital marketing solution and when the campaign ends, you have amassed mountains of data. Now what? Continue reading