• Resources
  • Jobs
  • Blog
  • Contact
  • 415.538.8484

DesignMind

Big Data, Business Intelligence, and Data Analytics Consultants

 
  • Company
    • Meet the DesignMind Team
    • Partners
    • Subscribe
    • Resources
    • Datasheets
    • White Papers
  • Services
    • Big Data Consulting
    • Business Intelligence & Data Warehousing
    • Cloudera Integration
    • Data Science
    • SQL Server and Database Services
    • Software Development
    • Technical Staffing
  • Videos
  • Meetups
  • Clients
December 28, 2015Mark Ginnebaugh

The Shopping Beacon and How It’s Changing Retail

The Shopping Beacon: Your New Best Friend

The shopping beacon is changing how you shop.  Imagine you’re looking looking at a smartwatch in the store window, and you get a text with 10% off on the very same watch? But wait, you don’t even need to go inside! That’s because you can buy it right from your location and pay easily online.Shopping Beacon San Francisco

It’s happening already. It’s all possible with Beacon technology, often called marketing technology or simply “martech”.  Martech, along with its cousin data science, is revolutionizing the customer experience with in-store analytics, proximity marketing, indoor navigation, and contact-less payments. Beacons are taking the mobile world by storm. They are low-powered radio transmitters that can send signals to smartphones that enter their immediate vicinity, via Bluetooth Low Energy (BLE) technology.

Beacons are small devices working on tiny BLE radio signals that are received and interpreted by an app on smartphones. This can work within 50-70 meters of a beacon device. There is no scanning necessary. In addition, it can pinpoint where your a customer is in a store and push specific information to them.

Thanks to big data analytics and a shopping beacon, retailers can offer a better shopping experience. In the near future, as soon as you walk into a store, the sales staff will know your name, what products you typically buy, which items you checked out recently but didn’t purchase, and even information about your spending habits. With this data, salespeople can offer shoppers personalized attention.

Well-known players in shopping beacon technology include Apple, Estimote, and major retailers like Macys, Target, JC Penney, Staples, and Gamestop.

Beacons are changing the retail experience and boosting retail sales in various ways:

  • “Proximity marketing” can bring shoppers into the store by targeting them with right offers as they approach a store.
  • Well-designed martech campaigns can help customers feel excited about visiting a store.
  • Shoppers can navigate the customers to the more appropriate products for their needs.
  • Customers can be notified about new products at the right time and place.
  • Real time data tells retailers how much time customers are spending in each part of the store, which can optimize the in-store experience.
  • The use of data science can use a customer’s purchase history to come up with product-specific offers.
  • Finally, customers can use contact-less payments on smartphones so they don’t have wait in line to check out.

At DesignMind, we’re excited about shopping beacon technology and what it brings to the table for retailers and shoppers alike.  Our Big Data consulting group collaborates with our Data Science team to create the best shopping experience possible.  What are you waiting for? Let’s go shopping!

Recent Posts

Advanced Bookmarks and Buttons in Power BI

January 17, 2021

How To Export Underlying Data in Power BI

December 15, 2020

Right Sizing Your Power BI Gateway on AWS

May 26, 2020

Creating Power BI Custom Visuals

April 21, 2020

My Power BI report is too slow. What tools and techniques should I use?

March 2, 2020

Are Your Power BI Performance Issues Due To High Memory Consumption?

January 17, 2020

Power BI Parameters – How to Use & Update Parameters in the Power BI Service

December 9, 2019

Power BI Tips: How To Increase The Number of Rows Exported to Excel

September 6, 2019

Power BI Data Modeling Tips for Developers and Analysts

October 15, 2018

Company

  • About
  • Team
  • Clients
  • Partners
  • Privacy and Cookie Policy

Resources

  • Blog
  • Resources
  • White Papers
  • Datasheets

Community

  • Microsoft Technical Groups
  • Bay Area BI User Group
  • San Francisco Data Platform
  • Silicon Valley Data Platform
  • San Francisco Power BI
  • Twitter
  • LinkedIn
  • Subscribe
  • Contact

© 2021 DesignMind. All rights reserved.