As of early 2023, men and women in the United Kingdom (UK) had similar preferences when it came to shopping channels. Around a ***** of male and female consumers surveyed said they would prefer to shop mostly online for goods and services, given the choice.

According to a survey on retail shopping conducted by Rakuten Insight in June 2021 in China, a majority of male and female shoppers stated that they spent between *** and *** yuan on average during in-store shopping trips. In contrast, ** percent of both male and female respondents reported that they spent under *** yuan on average.

Research findings on earning, saving, wellness habits, decision roles, and digital engagement in the U.S. women's market.

As of early 2023, men and women in Ireland had similar preferences when it came to shopping channels. Around a third of male and female consumers surveyed said they would prefer to shop mostly online for goods and services, given the choice.

About Mart Mart is an American multinational retail corporation that operates a chain of supercentres, discount departmental stores, and grocery stores from the United States. Mart has more than 100 million customers worldwide.

Business Problem The Management team at Mart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. They want to understand if the spending habits differ between male and female customers: Do women spend more on Black Friday than men? (Assume 50 million customers are male and 50 million are female).

According to a 2024 survey in Saudi Arabia, ** percent of men surveyed said that they spent more money during the month of Ramadan. Both men and women in the country had roughly similar spending habits during Ramadan. In the same survey, ** percent said they look forward to shopping deals, special offers, and promotions during the month. Additionally, ** percent delayed expensive purchases until Ramadan to avail better deals and discounts.

Statistical spending patterns of female cardholders in the six municipalities by age group (Joint Credit Card Processing Center)

Context

The Customer Shopping Preferences Dataset offers valuable insights into consumer behavior and purchasing patterns. Understanding customer preferences and trends is critical for businesses to tailor their products, marketing strategies, and overall customer experience. This dataset captures a wide range of customer attributes including age, gender, purchase history, preferred payment methods, frequency of purchases, and more. Analyzing this data can help businesses make informed decisions, optimize product offerings, and enhance customer satisfaction. The dataset stands as a valuable resource for businesses aiming to align their strategies with customer needs and preferences. It's important to note that this dataset is a Synthetic Dataset Created for Beginners to learn more about Data Analysis and Machine Learning.

Content

This dataset encompasses various features related to customer shopping preferences, gathering essential information for businesses seeking to enhance their understanding of their customer base. The features include customer age, gender, purchase amount, preferred payment methods, frequency of purchases, and feedback ratings. Additionally, data on the type of items purchased, shopping frequency, preferred shopping seasons, and interactions with promotional offers is included. With a collection of 3900 records, this dataset serves as a foundation for businesses looking to apply data-driven insights for better decision-making and customer-centric strategies.

Dataset Glossary (Column-wise)

• Customer ID - Unique identifier for each customer
• Age - Age of the customer
• Gender - Gender of the customer (Male/Female)
• Item Purchased - The item purchased by the customer
• Category - Category of the item purchased
• Purchase Amount (USD) - The amount of the purchase in USD
• Location - Location where the purchase was made
• Size - Size of the purchased item
• Color - Color of the purchased item
• Season - Season during which the purchase was made
• Review Rating - Rating given by the customer for the purchased item
• Subscription Status - Indicates if the customer has a subscription (Yes/No)
• Shipping Type - Type of shipping chosen by the customer
• Discount Applied - Indicates if a discount was applied to the purchase (Yes/No)
• Promo Code Used - Indicates if a promo code was used for the purchase (Yes/No)
• Previous Purchases - The total count of transactions concluded by the customer at the store, excluding the ongoing transaction
• Payment Method - Customer's most preferred payment method
• Frequency of Purchases - Frequency at which the customer makes purchases (e.g., Weekly, Fortnightly, Monthly)

Structure of the Dataset

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Acknowledgement

This dataset is a synthetic creation generated using ChatGPT to simulate a realistic customer shopping experience. Its purpose is to provide a platform for beginners and data enthusiasts, allowing them to create, enjoy, practice, and learn from a dataset that mirrors real-world customer shopping behavior. The aim is to foster learning and experimentation in a simulated environment, encouraging a deeper understanding of data analysis and interpretation in the context of consumer preferences and retail scenarios.

Cover Photo by: Freepik

Thumbnail by: Clothing icons created by Flat Icons - Flaticon

Statistic the spending patterns of female cardholders in various age groups in sixteen counties (Joint Credit Card Processing Center).

According to a survey on retail shopping conducted by Rakuten Insight in June 2021 in the Philippines, a majority of male and female shoppers stated that they spent between a thousand and ************* Philippine pesos on average during in-store shopping trips. On the other hand, less than ** percent of both male and female respondents stated that they spent between ************* and *********** Philippine pesos on average.

According to a survey on retail shopping conducted by Rakuten Insight in June 2021 in Hong Kong, a majority of male and female shoppers stated that they spent *** Hong Kong dollars or less on average during in-store shopping trips. In contrast, ** percent of both male and female respondents reported that they spent between *** and 1,000 Hong Kong dollars on average.

According to a survey conducted by Rakuten Insight among South Koreans in ********* on the impact of COVID-19 on their offline shopping behavior, roughly a third of both male and female respondents answered to have reduced their spending per purchase as well as their shopping frequency. Around ** percent of women and ** percent of men in this survey stated to have not changed their spending habits nor their shopping frequency.

As of 2019, ** percent of female beauty consumers in the United States had a preference for discovering products in-store by going to the aisle and reading labels of products. ** percent of respondents preferred to ask a beauty advisor.

ABSTRACT This research has the aim of identifying previous variants to impulsivity at the time of buying and as well as to verify the relationship between the tendency to buy things by impulse and human values. To achieve this goal a survey was carried out through an orkut profile account, where the students were invited to take part in a survey answering to an on line questionnaire available. Five instruments were applied: 1) Scale of shopping activity; 2) scale of circulation in the stores 3) Scale of Basic Human Values; 4) Social-Demographic Questionnaire; and, 5) Questionnaire about consumption habits. 154 students have taken part in this survey. (77 men and 77 women) currently registered at Universidade Federal da Paraíba, between 18 to 25 years of age (average=21; DP=2). We have calculated the distribution of the social demographic frequencies and the spending habits amongst the participants; the Alfa of Cronbach to the facts of the scales; and the analyze multiple linear regression to each block of questions as dependent variant (DV) having the impulsivity as the independent variant (IV); The variants which have showed predicted power to impulse shopping were the values of “Pleasure” and “Personal Stability”, the value System “Existence”, the circulation in the stores, the frequent usage of credit cards on shoppings, the hobby of going to shopping mall, and social-demographic variant such as sex, age and family’s wage.

Seafood consumer preferences and perceived changes during COVID-19.

Licensed sports apparel stores have benefited from an uptick in customers, driven primarily by major sporting events and a heightened focus on fitness and health. According to a 2025 publication from the American Medical Association, total health spending climbed 7.5% in 2023, reaching nearly $5.0 trillion. This trend is catalyzing sales across various channels, spurring greater spending on fitness apparel from older customers who want to maintain their quality of life and from families who want to instill good habits in their children. In response, retailers are adopting innovative marketing strategies and collaborating with prominent athletes to capture a wider customer base. Revenue from licensed sports apparel stores is expected to expand at a CAGR of 5.4% to $23.0 billion through the end of 2025, including a forecast hike of 1.7% in 2025 alone. Licensed sports apparel retailers are navigating a shifting retail landscape, where significant growth in online sales has intensified the challenges that physical stores face. Retailers are adapting to evolving consumer preferences by investing in digital technologies and enhancing their online presence, a move that is proving critical in capturing the younger, digitally savvy demographic. The push towards sustainability is gaining momentum, with consumers showing a greater interest in eco-friendly products. This shift is encouraging companies to innovate using sustainable materials and practices. These products can be sold for a premium, boosting profit but potentially turning away some sales. Industry retailers are poised to leverage advancements in technology, such as augmented reality (AR) and virtual reality (VR), to offer immersive shopping experiences. These technologies are intended to improve consumer interactions and boost engagement levels, facilitating more sales. Also, the continuous expansion of professional and amateur sports activities nationwide will sustain spending on licensed sports apparel. However, licensed sports apparel retailers must be aware of potential economic fluctuations and competitive pressures, which could impact consumer spending patterns. Embracing flexibility in business models and innovation in product offerings will be key to navigating future challenges and capitalizing on emerging opportunities. For example, licensed wearables, such as a team-themed fitness watch, may strengthen growth potential in the coming years. Revenue is expected to swell at a CAGR of 2.4% to $25.9 billion through the end of 2030.

This statistic shows the factors women consumers consider when purchasing hair care products as of 2016. According to the report, a ** percent share of female hair care shoppers in the U.S. stated that they try the sample before buying the product.

The global Women Jeans market is experiencing robust growth, projected to reach an estimated market size of approximately $XX billion by 2025, with a Compound Annual Growth Rate (CAGR) of around XX% expected throughout the forecast period of 2025-2033. This significant expansion is primarily driven by evolving fashion trends that increasingly favor denim as a versatile and stylish wardrobe staple for women across all age groups. The rising disposable incomes in emerging economies, coupled with a growing emphasis on personal style and self-expression, are further fueling demand for a diverse range of women's jeans. Furthermore, the increasing accessibility of these products through online sales channels, alongside traditional offline retail, is contributing to market penetration and consumer convenience, making it easier for women to discover and purchase their preferred styles. Key trends shaping the market include a strong preference for sustainable denim options, with consumers actively seeking brands that employ eco-friendly manufacturing processes and materials. The continued popularity of various fits, from the enduring appeal of slim and regular fits to the resurgence of looser styles, caters to a broad spectrum of consumer preferences and body types. However, challenges such as the intense competition within the market, characterized by the presence of numerous global and local players, can exert downward pressure on pricing. Additionally, fluctuating raw material costs for cotton and denim production, coupled with potential shifts in consumer spending habits due to economic uncertainties, represent significant restraints that manufacturers and retailers must navigate to maintain profitability and market share.

Italian consumers most often look for Confectionery products that help them create personal space and time amongst their busy days, or as rewards to help them recuperate at the end of their days. Manufacturers need to keep delivering value to austere-minded consumers. GDP per capita in Italy will not return to 2008 levels until 2017. This drop and slow recovery in the economy means consumers have adopted austere spending habits with limited trading up, habits they are unlikely to change in the near future Women consume more Confectionery than men in Italy. The main difference between men and women is in the consumption of Gum: on average, women consume chewing gum 27 times more per year than men. Italian Confectionery consumers value unique and special experiences: the Experience Seeking and Quality Seeking trends rank fourth and fifth out of the 20 trends studied. Read More