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ShopperTech Update             March 24, 2016 - Volume 7, Number 3     

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In This Issue
ANALYTICS: Grocers Need to Increase Use of Predictive Analytics
Virtual LEAD Marketing Conference: Leveraging the Power of Virtual Research to Create Shopper Decision Trees
EXPERT ANALYSIS: How is Predictive Analytics Being Used in Grocery?
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ANALYTICS
Grocers Need to Increase Use of Predictive Analytics
 
By Graeme McVice

Various grocers have employed predictive analytics over the past decade, but most have used them as part of a solution that has been provided by an external solution provider. The analytics themselves have been developed by external partners and have been largely unseen by grocery retailers as the analytics have been used "behind-the-scenes" to deliver price, promotion, assortment or marketing plans. 

Some of these capabilities have subsequently been discontinued or reduced in scope as the grocer has not fully internalized their use and the original users frequently move into other areas of the company, leaving behind new associates who have not been appropriately trained in these analytical solutions.

The solution providers themselves also have to accept some of the responsibility because they don't always provide the appropriate levels of support to ensure that the grocers are extracting the maximum value from the analytics
...
 
STI's Virtual LEAD Marketing Conference 
                                        
Leveraging the Power of Virtual Research 
To Create Shopper Decision Trees

Traditionally, shopper decision trees are created either from historical purchase data or attitudinal surveys. But what if there was a solution that enabled you to create shopper decision trees before implementing any changes in-store, or that is based on region, or for products without UPC codes? What if you could do it faster, and more cost-effectively? Virtual reality lets you do all that-and more.

InContext insights and research gurus Liz Cox and Brendan Light will explain the game-changing way our virtual shopping can help not only create and execute decision trees, but also understand the attitudinal "whys" behind them. 
Just click on the screen below to view the recording:



And click here to view all the recordings from our November 11th virtual conference.


 
EXPERT ANALYSIS
Analysis Magnifying Glass                                         
How Is Predictive Analytics Being Used 
In Grocery?
   
Predictive analytics - that is, mining data for information
to be used in predicting trends and behavior patterns - is
being used by some grocery retailers in different areas. They include category management, pricing, inventory planning, e-commerce, mobile marketing, among others

DISCUSSION QUESTION:
What is the number one area that grocers should focus on with predictive analytics?

Here's what the experts have to say...
 
MARKET WATCH
                                        
 
GROCERY STORIES BLOG 
 
Grocery Stories to Entertain & Inform
 
GroceryStories.com is an amusing collection of news and views about the world of grocery, plus entertaining videos, the world's most challenging Grocery Trivia Quiz, and more.

Recent stories include How Clean Is Your Supermarket?, Picking the Fastest Line at Checkout, and How Millennials Are Ruining Grocery Shopping.

CLICK HERE to read these stories and subscribe.

 
STI PUBLICATIONS
 
Shopper Technology Institute's Latest Book,
The Little Book of Big Data, 
Has Just Been Published!

The Little Book of Big Data is the third book from the Shopper Technology Institute. The book is divided into four sections: Loyalty, Engagement, Analytics and Digital. Thought leaders have shared their insights and vision. Merchants and marketers will learn the essentials of Big Data and then move forward to understand the more complex
issues involved.

Click here to read samples and ordering information for the paperback and Kindle editions.


Shopper Technology Institute's Second Book,
New Directions in Shopper Technology
 
New Directions in Shopper Technology, the second book from the Shopper Technology Institute. Building upon the foundations of last year's Essentials of Shopper Technology, the book is divided into five sections: Shoppers, Loyalty, Engagement, Analytics and Digital and contains 19 essays on how mobile marketing, social media, sophisticated analytics, Big Data and the like are continuing to evolve.
 
Those changes-and others-are presented in this book. As well as reading about their area of expertise, progressive executives will gain a fuller understanding of the entire industry. 
   
Click here to read sample chapters and view ordering information for the paperback and Kindle editions.
 

 

Shopper Technology Institute Sponsoring Members 

 

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