In-store Retail Analytics: Definition, Benefits, Use Cases
    7 minutes read

    When we think of analytics in business, we often think of sales figures and profits, but there is more than that. For retailers looking for resources on how to increase the sales of their retail business, the first thing they should consider is in-store retail analytics. In this competitive market, it is necessary for retailers to have in-store analytics initiatives to develop business, catch up with customers, and gain insights into consumers and store performance!

    In this blog post, we’ll discuss the definition of in-store retail analytics, the benefits and use cases of in-store retail analytics, and factors to consider before reaching a final analytics solution.  

    What Is In-store Retail Analytics? 

    What is in-store retail analytics? 

    In-store analytics, or in-store retail analytics, is the process of analysing and collecting valuable information about customers while they visit the store. That information will be compiled into customers’ behavioural data and turned into meaningful insights for retailers and shop owners. In-store analytics aims to optimize store performance; therefore, stores, malls, and retailing units can enhance customer experience and boost their sales.  

    Retailers can execute in-store retail analytics with the help of technology. In general, store owners use beacon-attached smart carts, in-store cameras, and Wi-fi systems to see the number of customers visiting the store, how they move around within it, and which areas are visited the most. From that, related demographic data are processed and utilized as chains, connecting consumers and retail stores and depicting buyer decisions. 

    Benefits Of In-store Retail Analytics Adoption

    Check out these five key benefits below to better understand how in-store retail analytics adoption would benefit your business.

    1. A better understanding of customer behaviour through In-store Retail Analytics

    The first and foremost advantage of applying in-store analytics is to give retailers transparent and panoramic insights into customer behaviour and evaluate the efficiency of the store’s sectors. Through deep, data-driven insights, retailers can tackle particular challenges, namely personalizing campaigns, lowering customer acquisition costs, and improving customer conversion rate towards the brand.  

    Benefits Of In-store Retail Analytics Adoption - A better understanding of customer behaviour 

    Having a 360-degree view of customers can also help retail distributors improve and upgrade the store’s physical layout. They can boost the store’s design to guide customers to designated areas or products they are currently pushing for more sales. Moreover, products that don’t appeal to customers can be replaced by ones that can gain higher sales for the store. On the other hand, best-selling goods are kept track to know what the best time for restocking is.  

    Also, a deep understanding of what drives customers to visit the store will help owners and retailers initiate campaigns that could enhance the storefront attraction to passers-by and window-shopping. This method can be seen and is mainly used in malls and individual stores. 

    More Retail Analytics books and courses to learn!
    

    2. Tracking In-store retail experience

    In the early days, in-store merchandising was a sophisticated discussion topic with little to no proper measures to calculate how merchandising decisions fully impact. As the world is in the midst of the 4.0 technology revolution, the online market sector has appeared and has been gaining substantial profit since then. Consequently, a new trend among customers emerged as they would go to the physical store to research the product and later decide to purchase the effect on the website. Although this might seem to harm the physical performance of the store, shop owners can still use the data collected from those shoppers to boost online sales for the franchise and other analytics for marketing campaigns.  

    Benefits Of In-store Retail Analytics Adoption- In-store experience and journey tracking 

    Tracking shoppers’ journey of purchasing is a subordinate use case. Speaking of the technology boom, customers can easily find information about goods they intend to purchase on Internet-connected devices and social networks. All omnichannel information is gathered to help buyers decide what, where to buy, and at which price to purchase. Later, buyers could make the final decision that fits their preference most. By analysing which sites and domains they mainly visit for research, retailers can gain an extensive view of their customers, offer them values, and further drive a brand’s growth.  

    Several retailers out there even have already adopted Video Retail Analytics to record customer journey inside the store and then evaluate each buyer’s purchasing behaviour using advanced algorithms for better customer experience and comprehensive management in all facets.

    Learn more about Retail Analytics Use Cases: A Comprehensive Guide

    3. Better staffing decision and marketing with In-store Analytics

    Staff at the store and the marketing department can obtain this advantage once they could receive all the footfall record the marketing attribution. There are critical criteria for retailers to track how the marketing campaign performs and its impacts. They can use specific analytics software to measure the daily volume of store visits, flows of new and existing customers, effects of different marketing methods, placements, and efficiency of specific ads on hit rate and average in-store purchases. Once the retail store managers can measure those indexes and their influence on purchase patterns, they can alter future marketing campaigns if necessary.  

    Benefits Of In-store Retail Analytics Adoption- Better staffing decision on marketing and promotion 

    In general business, conversion rates and Return on Investment index (ROI) are two essential metrics for keeping the circulation of good flow. With the help of in-store retail analytics, retailers can enhance these two enhanced across aspects of business management. Additionally, they can analyze tactics of capturing customer interests or even identify their best-selling items with the help of centric promotions and predictive analytics. What’s more, Direct Store Delivery (DSD) retail analytics aid in determining the sustainability of consumer loyalty programs, seasonal discounts, one-time deals, and other similar initiatives you are offering customers.  

    4. Optimize operation and supply chain management 

    In-store retail analytics unlock numerous opportunities for retail distributors, especially those traditionally brick-and-mortar. Other than a profound understanding of the consumer behind the store, in-store retail analytics help optimize the best staffing option, the most appealing layout set-up for stores and malls, and the most effective selling tactics to attract more customers. In other words, in-store analytics improves what is already inside the store by placing featured products in key areas for maximum attention and offering customers a more pleasurable service.  

    Benefits Of In-store Retail Analytics Adoption - Better store’s operation and supply chain management 

    Following the success of those optimizations, retailers can gather comprehensive data and use them for product tracking, quality improving, forecasting more precisely, and managing inventory better in real-time for proper restock. For those individual stores or franchises that offer delivery service, in-store analytics also helps speed up good delivery. The utility of the said method cuts not only unnecessary costs but also contributes a significant impact to final business income.  

    5. Enhancing customer retention

    Benefits Of In-store Retail Analytics Adoption - Enhancing loyalty 

    Businesses, regardless of sector, always expect to build up a stable group of loyal customers, and the retail industry is no exception. The integration of in-store retail analytics will give valuable insights into the loyalty group and strengthen their relationship with the stores. With advanced and deep acknowledgment of their devoted buyers, those stores can secure a pleasurable shopping experience for their customers. The responsive recipients shall receive personalized marketing content and item recommendations based on their purchase history and personal preference, bonuses, and discounts. Therefore, it can encourage them to buy more and feel recognized by the brands. Retail stores, in a similar way, gain the trust of the customers and boost their sales. 

    Importance Of In-Store Retail Analytics 

    We can notice that the retail industry, under the influence of technological development, is in an apparent need of in-store analytics. Another undeniable fact is that information, or data, has been surging and ruling this new era. More data about given products, companies, or brands and alternatives for buyers equals more intense competition and pressure among retailers as they compete against each other for a more significant market share. Since retail is a customer-centric industry, the more data retailers collect about customers, products, and shopping patterns, the more beneficial the data optimization will be for buyers’ shopping experience in the future.   

    Additionally, in terms of product development, utilizing in-store analytics software and methods helps retailers understand the factors that boost the sale of certain products. It also allows them to dive down into what makes them sell best and whether that trend is likely to continue in the future.  

    Importance Of In-Store Retail Analytics 

    In-store analytics benefit not only mall-located retail stores but also the individual, traditionally brick-and-mortar ones that mainly reside on the streets. Medium and big retailers, who own their digital storefronts, already have a natural advantage in measuring and optimizing the consumer experience. Those advantages raise customer expectations regarding convenience and personalization in physical channels. Hence, to achieve the same level of customer behaviour measurement in brick-and-mortar stores, retailers should also consider integrate technologies into their store.

    Those said technologies measure and collect data about the in-store journey, dwell time, conversion rates, and customer loyalty. Then the retailers could use those data for countless operations, security, inventory management, and marketing decisions. In addition, in-store analytics tools provide detailed customer insights from many points in the store and later help make necessary decisions. However, this level of understanding will not be the same as that of digital storefronts due to limitations in physical space; therefore, store owners must take the solution with several considerations. 

    The Future Of In-Store Retail Analytics

    It is undeniable that human beings are living in the era of information. People get access to millions of data streams everywhere on earth in less than one second. But only a small number of them make sense and create specific value. The same thing happens with the retail industry. Retailers expectedly could make better business decisions, improving retail operation efficiency, and delivering a better customer experience thanks to a good use of data.

    Yet, they still face challenges in interpreting that data into valuable insights. One of the most significant issues concerned by retailers is the lack of necessary data management skills. Therefore, retail enterprises tend to invest in data visualization software and specific categories of retail analytics. These are data visualization, location-based mobile targeting, in-store sensors investment, and machine learning and artificial intelligence implementation.  

    The Future Of In-Store Retail Analytics

    Besides being solely transactional, traditional physical stores will move forward, increasing brand value and consumer engagement. The integration of in-store analytics could initiate the process, which helps to create a highly personalized, advanced shopping experience for customers. It is an essential step for a physical retail business to stay relevant in the time of new technology.

    On top of that, brick-and-mortar enterprises and eCommerce platforms shall work together with the installation of new technologies and software in physical stores for data optimization on online shopping platforms. Therefore, data is likely to play a crucial role in providing critical insights into behaviour and trends and suggestions for marketing and sale-boosting tactics. However, entrepreneurs should take care of the privacy in the process of personalization.

    It would be an understatement to say that in-store retail analytics and reporting technology will be vital to the future of retail.

    Retail data analytics and reporting can assist shop managers in tracking and accommodating visitor flows, optimizing product placement, encouraging consumers to try new products or various brands, and providing a smooth store experience similar to an e-commerce environment. Essential retail analytics tools and reporting technology are also considered for investing since they can gain detailed and actionable insights and deliver desired store experiences for future consumers. Additionally, retailers should promote foot traffic to offer experiences that appeal to the shifting buyer landscape. However, convenience will remain essential, particularly for lower-value or recurrent transactions.   

    Nowadays, consumers have become more tech-savvy than ever and familiarized themselves with interactive technologies. Retail owners might consider developing more brand-new retail experiences to meet buyers’ satisfaction. Machine learning and artificial intelligence can help the staff of physical stores to provide consumers with better customer service and support. These kinds of technologies can be set up in kiosks that automatically collect data from the buyer’s purchase list, depicting the relevance of in-store items based on the number of purchases.  

    Key Factors To Consider When Choosing An In-house Retail Analytics Solution

    Once the retailers, whether traditional or modern shops, have decided to assess their stores with analytical solutions, there are many aspects to consider before selecting one. Here are the top 6 key factors for retailers to consider when choosing the ultimate solution.  

    1. Real-time customer data profiling 

    Real-time customer data profiling 

    The chosen solution must provide real-time and seamless data capture about the customer. In-store analytics does not simply count the number of customers. It should give retailers basic information, namely gender, age, likes, dislikes, preferences, and style. Beyond that, those data must aid retailers in personalizing omnichannel promotion content – in email and social network newsfeeds – and adopting new trends to secure customer loyalty. In other words, retailers must understand their in-store shoppers like their old friends. 

    2. Omnichannel touchpoints and view 

    Omnichannel touchpoints and view 

    To fully understand customers, retail shop owners need to grasp different attributes of customers with the help of multiple sensors. Research done on a large group of Generation Z buyers, who will soon become the largest cohort of consumers, has pointed out their blended shopping experience. In other words, most Gen Z buyers tend to check products in physical stores to get information before purchasing them on eCommerce domains. This new type of behaviour has established a link between retail stores with electronic platform counterparts and a new way of thinking for data and insights expansion.   

    3. Accuracy

     Accuracy

    Not every in-store analytics solution has a high level of accuracy. In many scenarios, the customer’s behaviour will not be correctly detected and classified by the analytics software. For example, a buyer picking up many goods at first and later returning them to the shelf does not declare the success of merchandising. A child naively adding items to its mother’s cart does not mean the mother is in a rush for stocking. Therefore, the higher accuracy the solution can guarantee, the fewer mistakes and misclassification can occur. Also, it is suggested that a standard analytics solution should have a minimum accuracy of 95%.  

    4. Visual dashboard 

    Visual dashboard 

    The in-store analytics solution must have a fast and real-time updating function for the retailers. To explain this, we must understand that business-to-customer(B2C) commerce is fast, seasonal, and vulnerable to market fluctuations. Especially in the peak of the sale season, store managers should continually update insights to catch up with customers’ demands. By knowing customers’ frequency and speed, retailers can take active steps during golden sale hours. Additionally, having sorted real-time data will help retailers to set up stores intendedly and allocate in-store staff more efficiently.  

    To understand consumers better, a plethora of retailers these days have decided to consider using a wide range of data visualization and visual analytics tools to identify and discern patterns, outliers, and underlying trends in large data sets for data-based & valuable decisions. However, it seems difficult for retailers to make the most out of these tools, especially those in the discovery stage. Hence, you can always rely on a data analytics company like Synodus with proven data analytics experience to assist you. We always here to help you identify what would work best for your business!

    5. Information privacy compliance 

     Information privacy compliance 

    Privacy has been the top concern of many enterprises as many leaks and cybersecurity failures have occurred recently. The consequence of those fallouts is often loss of millions of dollars, operation disruption, and loss of trust and reputation. Regarding the 24/7 cross-channel customer-shadowing method, the privacy and safety of buyers’ data are discussed, as this could cause many brands to face serious lawsuits. As a result, retailers must select an analytics solution that assists them in adhering to a strict and transparent privacy policy while harmonizing with opt-in data collecting and marketing initiatives.  

    6. Smooth customer experience

    Smooth customer experience  

    In most retail stores, all procedures take place at a fast pace. As a result, the in-store analytics solution must catch up and withstand all activities inside the store. Data gathering must be convenient and privacy-friendly and should not confuse customers and staff. Customer experience should be the most comfortable, not filled with lengthy surveys, complicated sign-ups, and privacy risks. If stores are equipped with new methods for shopping or checking out, they should be easy to use and helpful toward consumers, not making them overwhelmed by the presence of new technology.   

    Wrapping Up

    In-store retail analytics enables retailers to make informed and data-driven decisions about customers and their shopping experience. It can help entrepreneurs identify any issues or concerns about their customers’ in-store experience and suggest ways to improve it.

    In today’s retail climate, it is more important than ever to ensure that customers get the best possible experience when they visit your stores. Hence, we suggest you follow the guideline and criteria aforementioned to choose the most efficient in-store retail analytics solution for your business!

    Don’t forget to follow us on LinkedInTwitter, and Youtube to be informed about the latest news and information about Retail Analytics!

    author avatar

    Maya

    I am a content planner & writer with more than 2 years of experience in Tech. Writing mostly about Data Analytics, AI, Digital Transformation and Blockchain, I consider myself an aspiring and passionate content writer/editor who enjoys learning new technologies and introducing them to others through easy-to-read texts!

      Recent Posts

      Partnership-Announcement-Synodus-Anatics

      New Strategic Partnership Announcement: ANATICS x SYNODUS

      Hanoi, Sep 19th 2022 We are thrilled to announce our strategic partnership...
      Read More
      Leveraging Predictive Analytics In Excel For Sales Forecasting

      Leveraging Predictive Analytics In Excel For Sales Forecasting: How To Do It  

      Sales forecasting has a substantial role in every business's success when making...
      Read More
      Top 10 behavioral analytics tools and a guide to choose one

      Top 10 User Behavioral Analytics Tools And A Complete Guide To Choose One

      Behavioral analytics tool is changing how businesses become more profitable and serve...
      Read More
      What is Behavioral Analytics? Defintion, Examples & Tools

      What Is Behavioral Analytics? Definition, Examples and Tools 

      Every mouse click and movement on the screen reveals something about the...
      Read More
      Data Maturity Assessment: Models & Frameworks

      Data Maturity Assessment: How-to Guide (Models and Framework Included)

      Table of Contents[Open][Close]Part 1: What Is Data Maturity And How Important It...
      Read More
      Boody

      Turning 10-Year Data Into A Single Source Of Truth With Boody  

      Table of Contents[Open][Close]Who Is Boody?How They Came To Us Here Are Key...
      Read More
      Data Analytics For Marketing Benefits Tools And Examples of Top Brands

      Data Analytics for Marketing: Benefits, Tools and Top Brand Examples  

      Marketing data is everywhere. Yet, the most valuable insights are usually wrapped...
      Read More
      Data Monetization A Complete Guide

      Data Monetization: A Complete Guide 

      You may hear that data is a treasure that will do you...
      Read More

      Success Story of The ICONIC: Leveraging Customer Analytics To Become A Fashion Giant

      Table of Contents[Open][Close]Part 1: A Brief History Of Multi-millionaire Empire: How It...
      Read More
      Artificial Intelligence 101 and AI in E-Commerce

      Artificial Intelligence 101 and AI in E-Commerce

      A survey by Statista showed that 70% of decision-makers in the e-commerce world assumed...
      Read More
      Top 10 examples of Predictive Analytics in Retail

      Predictive Analytics in Retail: The Best 10 Uses With Examples

      Predictive analytics has undoubtedly around for decades, yet until recently, more and...
      Read More
      Data security Definition, Importance, Types, Methods

      Data security – Definition, Importance, Types, Methods

      This article will give you an overview of data security: definition and...
      Read More
      Top 7 Data Security Best Practices

      Top 7 Data Security Best Practices

      This blog will explain definition, common security threats and best practices for...
      Read More
      Top Ecommerce Consulting Companies & How To Choose One

      Top Ecommerce Consulting Companies & How To Choose One

      While some firms can build an eCommerce business themselves, others turn to...
      Read More
      Data Strategy A definite guide

      Data Strategy: A Definitive Guide

      A data strategy helps companies know how to manage and analyze data...
      Read More
      Retail Analytics Courses, Books & Reports

      Retail Analytics Courses, Books & Reports: Resources for your knowledge

      It is crucial for retailers and those who are enthusiastic about retailing...
      Read More
      The Future of Retail Analytics (10 trends included)

      The Future of Retail Analytics (Top 10 Trends)  

      It's clear to see that analytics has become a critical component of...
      Read More
      Sentiment Analysis - A comprehensive Guide

      Sentiment Analysis: A Comprehensive Guide

      The power of Natural Language Processing (NLP) enables organizations to implement sentiment...
      Read More
      What is Data-driven culture

      What Is A Data-Driven Culture and How to Create One?

      One of the major shifts in today’s business world is the transformation...
      Read More
      What is Data Visualization?

      What Is Data Visualization And Why Is It Important? 

      We live in a world of Big Data, in which data visualization...
      Read More
      Video Analytics For Retail - Definition & Use Cases

      Video Analytics For Retail: Definition & Use Cases 

      Retail video analytics is becoming more than simply a loss prevention tool;...
      Read More
      Top 10 Data Visualization Tools

      Top 10 Best Data Visualization Tools (Free & Paid)

      As the value of data visualization has become widely recognized across companies...
      Read More
      Databases vs DataWarehouse: Similaries & Differences

      Database vs Data Warehouse: Similarities & Differences

      What is a database? What is a data warehouse? What are the...
      Read More
      What is A Database Schema? Types, Benefits, Terms Explained

      What Is Database Schema? Types, Benefits, Terms Explained

      In this blog, we’ll go further into database schema including database schema...
      Read More
      Data Warehouse Costs

      Data Warehouse Costs: 3 Important Elements to Consider 

      It’s essential to select the right data warehouse, business intelligence, and analytics...
      Read More
      What Is a Data Warehouse? Definition, Benefits, Architecture Explained

      What is a Data Warehouse? Definition, Benefits, Architecture Explained

      A data warehouse is essential for businesses that wish to drive engagement...
      Read More
      what is a data warehouse top 10 solutions compared

      What is Cloud Data Warehouse? Benefits, Features & Solutions Compared

      The growing demand for data warehouses as a service is propelling the...
      Read More
      data warehouse tutorial for dummies

      Data Warehouse Tutorial: Learn from Experts with 6 Steps

      Data is gathered at regular intervals from source systems such as ERP...
      Read More
      benefits of data visualization

      What Are The Benefits of Data Visualization?

      Data visualization lets us present sets of data through the use of...
      Read More
      Data Analytics Services for Small Business: Pricing Review

      Data Analytics Services for Small Business: Pricing Review

      As a small business owner, you’d better implement data analytics if you...
      Read More
      6 Best Practices for Small Business Analytics

      6 Best Practices for Small Business Analytics

      Today's successful businesses are propelled by the covert power of small business...
      Read More
      Data Analytics for SMEs: What You Should Know

      Data Analytics for SMEs: What You Should Know

      Operating in an ever-changing market, many SMEs are facing challenges and struggling...
      Read More
      How Your Business Can Benefit From Data Analytics Outsourcing

      How Your Business Can Benefit From Data Analytics Outsourcing 

      In recent decades, a lot of enterprises - large and SMEs, want...
      Read More
      Small Business Analytics: 4 Ugly Facts

      Small Business Analytics: 4 Ugly Facts

      Analytics is an important part of any business, but it's not something...
      Read More
      5 Data Visualization Trends in 2022

      Top 5 Data Visualization Trends in 2022 and More Years to Come!

      Due to the fact that technological advances are ever-changing, the future of...
      Read More
      7 Things to Consider When You Hire a Data Analytics Consultant

      7 Things to Consider When You Hire a Data Analytics Consultant

      The data analytics consulting industry is a rapidly growing market. The U.S....
      Read More
      Merge Data from Multiple Sources Effortlessly

      6 Detailed Steps to Merge Data from Multiple Sources Effortlessly 

      The advancement of technology has created many opportunities for the big data...
      Read More
      How to Identify Bad Data and 3 Excellent Ways to Improve Data Quality

      How to Identify Bad Data and 3 Excellent Ways to Improve Data Quality 

      Do you know that 2.5 quintillion bytes of data are generated every...
      Read More
      Top 6 common payment gateways for eCommerce stores

      Top 6 Common Payment Gateways for eCommerce Stores

      The world of online business is a fast-paced one. The ability to...
      Read More
      7 Huge Gaps in Google Analytics And Tools to Fix Them

      7 Huge Gaps in Google Analytics And Tools to Fix Them

      Google Analytics is a must-have tool in the toolbox of any e-commerce...
      Read More
      eCommerce advice: How to work with customers as privacy regulations are changing

      Ecommerce Advice: How to Work with Customers as Privacy Regulations Are Changing

      As the eCommerce industry grows and matures, consumers are becoming more aware...
      Read More
      Data Warehouse Trends 2022

      The Latest Trends in Data Warehouse 2022 

      The world has changed since the introduction of data warehouse. Data warehouse...
      Read More
      Searching for data to make critical decisions? Try these 8 sources

      Searching for data to make critical decisions? Try these 8 sources 

      Leveraging the gigantic database of your customers can help you seek insights...
      Read More
      5 Ways Data Science Can Boost Your E-commerce Revenue

      5 Ways Data Science Can Boost Your E-commerce Revenue

      The 21st century has digitized the world and provided a gigantic database...
      Read More
      6 Significant Impacts of Geography on E-commerce Conversions

      6 Significant Impacts of Geography on E-commerce Conversions 

      In online retail, e-commerce conversions happen when customers purchase products or services...
      Read More
      4 Insightful Books To Master Your Data Visualization

      4 Insightful Books To Master Your Data Visualization 

      Data analytics is like solving a puzzle. Raw data is a clue...
      Read More
      How Retail Analytics Can Help You Win Fraudsters

      How Retail Analytics Can Help You Win Fraudsters 

      Fraud has remained a big concern in the retail industry. The National...
      Read More
      How You Can Use Data Analytics for Better Inventory Management

      How You Can Use Data Analytics for Better Inventory Management  

      Inventory is the most important section of a company, ranging from different...
      Read More
      4 Significant Use Cases of Location Analytics in Retail

      Retail Location Analytics | Definition & Use Cases 

      Retail Location Analytics supports businesses with robust conditions to directly approach customers,...
      Read More
      10 Most Reliable KPI Tracking Software Worth Your Consideration 

      10 Most Reliable KPI Tracking Software Worth Your Consideration 

      With proper KPIs, you can keep track of your campaign’s performance and...
      Read More
      3 Tips on Selecting the Best E-commerce KPIs for Online Businesses 

      3 Tips on Selecting the Best E-commerce KPIs for Online Businesses 

      KPIs are always an essential part of any business strategy on the...
      Read More
      2 Ways Internal Data Can Benefit Your E-commerce Business

      2 Ways Internal Data Can Benefit Your E-commerce Business

      Simply defined, data is helpful information that you accumulate to support organizational...
      Read More
      8 Best Free Google Analytics Tutorials for Beginners and Experts

      8 Best Free Google Analytics Tutorials for Beginners and Experts

      Google Analytics is considered an indispensable tool to every website owner. It...
      Read More
      3 Clever Tips to Scale Your E-commerce Businesses With Data

      3 Clever Tips to Scale Your E-commerce Businesses With Data

      In the cut-throat world of business, entrepreneurs must compete fiercely with each...
      Read More
      10 Best Free WooCommerce Analytics Plugins for Your E-commerce Website  

      10 Best Free WooCommerce Analytics Plugins for Your E-commerce Website  

      WooCommerce is among the popular platforms that has been revolutionizing the digital...
      Read More
      Sentiment Analysis and 2 Important Factors to Analyze Customer Feedback

      Sentiment Analysis and 2 Important Factors to Analyze Customer Feedback

      Satisfied customers are a constant source of happiness to businesses. Usually, every...
      Read More
      Customer behavior analytics are transforming how retailer sell online

      Behavior Analytics Are Transforming How Retailers Sell Online Introduction

      Behavior analytics refers to the method of collecting and analyzing qualitative and...
      Read More
      How Emotion Analytics is Applied in the E-Commerce Analytics to Increase Customer Engagement 

      How Emotion Analytics is Applied in the E-Commerce Analytics to Increase Customer Engagement

      Emotions are verbal and non-verbal communication cues that play an integral role...
      Read More
      Retail Analytics Can Boost Your Merchandising Effectiveness

      2 Ways Retail Analytics Can Boost Your Merchandising Effectiveness

      Physical stores have been through a great transformation due to digitalization. The...
      Read More
      ar in Retail Analytics

      How Can Augmented Reality Be So Helpful in Retail Analytics

      In the age of innovative technology, retail e-commerce presents a number of...
      Read More
      retail analytics use cases

      Retail Analytics Use Cases: Comprehensive Guide

      Table of Contents[Open][Close]What is Retail Analytics?Effective Use Cases For Retail AnalyticsRetail Analytics...
      Read More
      retail analytics

      How to Boost Conversion Rates With The Use of Retail Analytics

      The rapid growth of the retail industry comes with big data and...
      Read More

      4 Effective Ways to Collect Customer Feedback for Analytics

      Understanding the importance of customer feedback helps businesses have a full view...
      Read More

      4 Ways to Use Speech Analytics for Better Customer Engagement

      A significant challenge for any business is getting deep insights about customers...
      Read More
      data science in retail

      Data Science in Retail | Use Cases & Famous Projects

      Data science employs specific methods, processes, algorithms, and systems to draw insights...
      Read More
      secrets of online shopping behaviors

      3 Big Secrets of Online Shopping Behaviors You Must Know

      Customers have certain online shopping behaviors that businesses in the e-commerce industry...
      Read More
      Customer Feedback Analysis

      Detailed Customer Feedback Analysis Guide 2022

      Customers have been leaving feedback more than ever before, and businesses amass...
      Read More

      Comment 2

      1. Awesome! Information. Great work thanks for sharing such useful information. keep it up all the best.

      2. Thanks for your blog, nice to read. Do not stop.

      Leave a Reply

      Your email address will not be published.

      Search here...

      Get a fully-stacked data team within 47 hours without making a hire. Our team of data experts help build your data infrastructure, create your metrics and much more. Available from day 1, so you can get a world-class data setup in record time.

      Contact Us