AI-powered Market Research: Survey | Form | Quiz | Registration Form | Booking Form

Retail research methodology

Have you ever walked into a store and wondered why certain products are placed in specific aisles? Or maybe you've questioned why some retailers offer discounts at particular times of the year. Well, wonder no more, because that's where retail research comes into play! Retail research is the process of examining consumer behavior, market trends, and industry standards to help businesses make informed decisions. From surveys to focus groups and everything in between, there are several types of retail research methods available.

How Artificial Intelligence Will Affect Social Media Monitoring

Technology is everywhere and our lives are becoming more connected to one another than ever. One of the most popular ways to stay connected is through social media. A quick Internet search reveals that every smartphone user uses at least one social media application (Instagram, Facebook, Twitter, Tumblr, LinkedIn, Snapchat). Technology continues to advance rapidly and with it comes an increase in the amount of time people spend online.

Social Media Marketing Role in Lead Generation

According to statistics in 2021, more than 4.6 billion people are using social networking sites such as Facebook, Tik Tok, Instagram.. This is a golden opportunity for businesses to reach target customers through Social media marketing (SMM).

Business Intelligence, Retail Industry, and Multi-Market Competition

As a retail business owner, you want to create products that help people and businesses grow. You want to provide products that are innovative and useful, of top quality and affordable so your customers will come back. But the real problem is that there are thousands of online retailers, who all appear to be competing vigorously against your own business. So how do you differentiate yourself from the others and emerge victorious? Uncovering the most important business intelligence opportunities is the focus of this strategy. This involves tracking end-to-end processes, collecting as much data as possible, and then processing it to produce the most insightful information. For example, BI can track how customers interact with your stores, & this information can be used to enhance customers’ shopping experience making them your loyal customer & generating a series of repeat purchases which boost your revenue – the golden bird which we all eye. With the help of Successful BI Strategy, retailers can make smart, efficient decisions allowing businesses to quickly alter prices or change merchandise offerings.

Mobile Business Intelligence Trends

BI technologies allow direct access to data and information. With the help of these technologies, a business can make better decisions upon analyzing big data. They are used widely in data-centered warehouses or data marts and can help to achieve various business outcomes by integrating big data analytics with traditional BI systems. Mobile BI is one of the effective ways to use the massive amount of data. Mobile BI helps businesses deploy data analysis methods to collect, analyze and segment data. It makes business intelligence accessible everywhere and at all times, thereby enabling organizations to make decisions based on analytics-driven insights. According to a report by Datameer, mobile applications will be the second-largest technology integrating Business Intelligence and Big Data. Also, Gartner reports that over 50% of Mobile BI users will depend on mobile devices for insight delivery. Companies such as SAS Business Analytics are already positioning themselves as “mobile-first” companies through a diverse range of services and offerings.

Decision Trees: Business Intelligence, Data Latency, and Data Mining

The book begins with an overview of decision trees and discusses how decision trees are related to other concepts such as decision theory, optimization, and statistical inference. The author then explores the use of decision trees in data mining tasks and describes how these techniques complement and supplement other business intelligence applications, such as dimensional cubes (also called OLAP cubes) and data mining approaches, such as regression, cluster analysis, and neural networks. The author then demonstrates how decision trees can be used to solve real-business problems by applying them to scenarios in manufacturing, sales forecasting, CRM applications and marketing analytics.

Centralized marketing and international brands- Is it a good idea?

As a millennial in the retail industry, I am a sensory-driven person. The best way to sell an item is to make it look great, smell good, and taste amazing. Food sample stations throughout Whole Foods are a great example of this concept. You may not have come in looking for vegan muffins, but if you get a taste, you might not leave the store without them. Sephora’s makeovers are another perfect case study of retailers offering demos. Shoppers who come in to buy foundation might just fall in love with the lip stain employees put on them.

How to Leverage Marketing to Drive Innovation

Benefits of Green Marketing

Green marketing is an effective way to get noticed, but more importantly, it’s a smart way to help customers and employees feel good about what you do.