Blog
Let’s look at some of the ways advanced analytics is driving business innovation in the fashion retail industry.
It is the absence of a meaningful connect between data sciences and marketing that we need to bridge.Getting the data together, running sophisticated analysis behind the scenes, and automating the entire process so that results can be delivered instantaneously – is achieved by Big data technologies and Big data analytics.
Data Scientists are finding it difficult to keep in pace with the ever increasing volume and detail of data captured by enterprises, the rise of multimedia, social media, and the Internet of Things that will fuel exponential growth in data for the foreseeable future.
e-Commerce retailers can increase customer lifetime values (CLV) through customer journey analytics and tracking the customer’s path to purchase
Retailers have a treasure trove in their retail trade data, which if shared with the suppliers though proper data sharing platforms can generate a steady revenue stream.
Customer segmentation starts with the right data. Read this post to learn about the seven categories to deliver best-in-class customer segments to drive your marketing tactics.
When should retailers rely on market segmentation versus customer segmentation? What are the pitfalls of only using market segmentation to devise marketing plans and review marketing performance?
What marketing metrics really matter? Should there be a standard set of marketing metrics that every marketer knows? How do you know which metrics are the right metrics for your business?
What does data-driven marketing really mean? Manthan Director of Marketing Joanna Beerman explores four activities required to be a data-driven marketer.