Generating rich customer insights – the centerpiece of successful marketing efforts – is more arduous and crucial in today’s digitally saturated world. Brands must not only understand their customers across all touch points, but analyze and glean patterns from their behavior, and quickly respond to the faintest signs of changing
As promised a couple of weeks ago, I am very happy to share Part 2 of a webcast series highlighting how SAS participates in the space of digital analytics for data-driven marketing with applications for personalization and attribution. Before launching the video, let me set some context for what you are
Digital analytics primarily supports functions of customer and prospect marketing. When it comes to the goals of digital analysis, it literally mirrors the mission of modern marketing. But what exactly is today's version of marketing all about? Honestly, we've been talking about this for years. And years. We ALL know
Martech is moving fast - pulling in other segments of technology as it pushes forward into 2016. We are well on the way to 2020 - where WalkerInfo predicts that customer experience will be the primary differentiator for consumers over the traditional four P's of marketing (product, place, price and promotion).
Although the title of this blog posting has all the ingredients to attract the eyes of an analyst, the content is targeted for all personalities of a digital marketing organization. Before we jump into the marketing analytic use case regarding forecasting, scenario analysis, and goal-seeking for digital analytics, let's spend some time
Broadly speaking, the holy grail of digital media measurement is to analyze the impact and business value of all company-generated marketing interactions across the complex customer journey. In this blog post, my goal is to take a transparent approach in discussing how data-driven marketers can progress past rules-based attribution methods, and make the business case for leveraging algorithmic applications.
In anticipation of SAS Forum Portugal 2015, I wanted to kick off my first contribution to the SAS Customer Analytics Blogosphere sharing an interview I completed with Sofia Real on the topics of modern digital marketing, predictive analytics, optimization, and personalization. Does that sound like a nasty traffic jam you might want to avoid? Absolutely not,
Digital marketing analytics has evolved over nearly two decades, per Gartner, and has beginnings with Web analytics developed to analyze server logs. Much has changed and a broader digital marketing analytics ecosystem has evolved into its own right, so Gartner saw the need to evaluate providers of digital marketing analytics solutions. In their inaugural Magic Quadrant for
Providing a great digital customer experience is more and more important, and yet many brands seem not to care by providing less than stellar experiences over and over again. It's like déjà vu, a French term that means “already seen,” which is used to describe the sensation that you have already experienced something that
Think back to the best restaurant experience you’ve ever had - what made it memorable? Location, quality and ambience all matter, but for me, the truly great experiences have always been where the service was exceptional. In a small handful of cases, it was as if the servers anticipated my
