Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Retail Data And Shopping In The Digital Age
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > Retail Data And Shopping In The Digital Age
Big DataBusiness IntelligenceCRMExclusiveMarket Research

Retail Data And Shopping In The Digital Age

Nathan Sykes
Nathan Sykes
6 Min Read
retail data
Shutterstock Licensed Photo - By Rawpixel.com
SHARE

Technology has changed the way businesses operate. Because the customer has a more direct hand in the way transactions are processed, more companies are taking a customer-centric approach. Being customer-centric means the customers wants and needs are everything. To identify those wants and needs, you have to use data.

Contents
Real-Time Promotions and DiscountsOmnichannel ShoppingFast Payment OptionsIn-Store Augmented RealityCustomer AnalyticsData Is About Customer Happiness

Data allows us to take general information about an individual, categorize everything into a sample size of the average customer and create new ways to cater to them specifically. Because of the shifting demands of the customers, the market is constantly changing. Businesses need to keep up with the change and stay ahead of the curve or risk losing their customer base to competitors.

Real-Time Promotions and Discounts

A real-time promotion is a deal targeted to the individual at the exact time they need the discount. If there’s data about someone shopping for nails, sending them a discount for a hammer would be a great way to get a repeat customer. Putting a promo code into the company?s app that shows up after download is another way to get a loyal customer.

Sadly, the seven percent of retailers offering real-time promotions doesn’t match up to the 47 percent of customers wanting the promotions. The good news is that there’s a high demand on low supply out there waiting to be cashed in on. For businesses considering new ways to get a customer base, real-time promos are a great start.

More Read

On Trees, Data Quality, and Big Data
5 Steps To Data-Driven Marketing [INFOGRAPHIC]
AI the Perfect Solution to the Identity Fraud Epidemic
Interview: Karl Rexer – Rexer Analytics
Social CRM and Customer Advocacy Programs: Case Study

Omnichannel Shopping

With more technology entering our lives, customers are using every means to do their shopping. They could shop off of multiple devices while in the physical store if they wanted to. Some big businesses are offering in-app or online purchases with immediate pickup in store. The interesting and tricky part for a company is finding a way to collect data from single shoppers across all of these different access points.

The organization of the data is key to understanding everything. The information collected through the omnichannel is a gold mine if deciphered correctly and used accordingly. Compiling all it in one place is the best way to start organizing everything for more information. At least 73 percent of shoppers use multiple channels on a single shopping journey. Businesses can’t afford to lose the data readily available from these experiences.

Fast Payment Options

The whole point of using data is to make the customer’s shopping experience as great as possible. Shopping includes checking out the product, as some companies tend to miss. A study found that 41 percent of customers leave their purchases behind because of long wait times at checkout. The promos and sales pitches won’t matter if the customer never even buys the product.

Many large companies are allowing customers to use self-checkout or doing away with checking out products completely. In the digital age, a few businesses are using mobile devices like Square Readers to check customers out while they?re on the move. All the customer cares about is getting their business done quickly and easily, and there are multiple avenues to make this mark.

In-Store Augmented Reality

Online and in-store shopping is still a hassle for wearable items like clothing and cosmetics when the goal is speed. Trying out clothes or trying to match colors can take up time some customers aren’t willing to spend. A few companies are finding ways to satisfy the need to make sure everything looks right and keep shopping fast and easy.

Companies like Sephora are using augmented reality to virtually show their customers what they would look like in their products. 3D facial recognition allows users to see how makeup would look on them without having to try anything on or compare to pictures of others. Stores using AR to sell products is slowly becoming a trend, which will likely be more widespread soon.

Customer Analytics

The data collected from customers, which is used for important business decisions, is referred to as customer analytics. Over the past year, 70 percent of enterprises increased spending on real-time customer analytics, enforcing the idea of a customer-first mindset in the growing industries. As a result of the extra spending, 58 percent of those companies are seeing significant increases in customer loyalty.

Not only are big businesses jumping on the real-time promotions train, but they’re also doing very well. As a result of integrating customer analytics, 44 percent of companies are increasing their revenue. Customers want the extra mile from companies ? they want to be pandered to. Since other businesses are already valuing customers so much, the time to start is now.

Data Is About Customer Happiness

Data collection is being used to drive customer-centric businesses. Since customers are more likely to conduct their business with companies catering to their needs, data is making a big change in how profit is made. Without utilizing data for real-time shopping, the business may not be up to the customers’ par, and they’ll be lost to the competition. Data and retail are now walking hand-in-hand and need to be used together if a business wants to expand in the future.

TAGGED:big dataretailretail data
Share This Article
Facebook Pinterest LinkedIn
Share
ByNathan Sykes
Follow:
Nathan Sykes is the editor of Finding an Outlet where he writes about the latest in technology and business. When he's not covering topics such as big data, AI, and cybersecurity, he can be found exploring the city of Pittsburgh.

Follow us on Facebook

Latest News

data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive
AI and data mining
What the Rise of AI Web Scrapers Means for Data Teams
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

data driven marketing
Big Data

Data-Driven Marketing: 4 Key Advantages

5 Min Read
Embracing Big Data as a Small Business
Big DataMarketing

7 Great Benefits of Big Data in Marketing

6 Min Read
big data and ecommerce
Big DataExclusive

5 Steps To Launching eCommerce Stores That Are Ready For Big Data

8 Min Read
life insurance settlement data
Big DataExclusive

7 Ways Big Data Is Essential For Life Insurance Settlements

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?