Retail Analytics In A BOX
Customer Analytics is a pioneer in the field of retail analytics. With more than 25 years of experience working with retail clients, we understand business needs. We also know how to use state-of-the-art analytics techniques to turn transactional and demographic data into valuable insights for retailers, both B2C and B2B.
This experience, and the wisdom gained from it, have now been packaged to provide analytics out of the box, through our cloud-based solution ROCKIT BOX™. With ROCKIT BOX, you can get the benefits of analytics without needing to hire an army of data scientists or buying expensive BI and analytics tools.
Simply upload your customer and transaction data into ROCKIT BOX to get rich analytical insights and reports!
ROCKIT BOX is a package of predefined analytical modules across three dimensions—Store Intelligence, Market Intelligence and Customer Intelligence—to give you a 360° view of your business and operating landscape.
ROCKIT BOX will help you answer questions that you've always had, but have struggled to answer. Questions like:
What is the market potential for my products?
What does my trade area look like? What is my market penetration and where should I focus my sales and marketing efforts?
Who is buying/not buying? Who buys Brand X vs Brand Y? Who buys online vs instore?
Click here to see more such business questions and how ROCKITBOX helps answer them.
With ROCKIT BOX, the thinking is already done for you:
Additionally, with ROCKIT BOX,
While the ROCKIT BOX package provides the core analytics required by a retail business, it can easily be customized to meet the specific need of your business.
For more information or to schedule a consultation, please contact rockitbox@customeranalytics.com
What comes in the box
How IT WORKS
View market potential by geography and demographic attributes.
View zips segmented into Grow, Protect, Maintain, Review and Ignore areas based on market potential and penetration.
View sites recommended for a new store location, ranked by criteria such as market potential, competition, etc.
View population estimates by geography and demographic attributes.
View KPIs across stores and identify problem areas.
View performance trends, what is selling/not selling, top brands, top stores, etc.
Understand trade area around a store location to maximize marketing resources and avoid cannibalization.
View products that sell most often along with other products, in order to create suitable offerings.
View customer segments based on demographic attributes and understand buying behavior of each segment.
View KPIs across stores and identify problem areas.
Compare characteristics of buying customers by different attributes, e.g., brand.
View performance/trends in different purchase behavior based customer segments.