This statistic presents the online shopping locations that shoppers worldwide prefer to shop at for first-time and repeat purchases. During the July 2019 survey, 71 percent of respondents stated that they preferred to make first-time purchases at a physical store , whereas 37 percent of repeat buyers preferred online marketplaces. In total, three quarters of repeat purchases are made online.

In the fourth quarter of 2021, a total 38 percent of consumers in the United States made four or more repeat purchases on the Amazon platform. Additionally, 29 percent of consumers made two to three repeat purchases.

Introduction

Customer Service Statistics: Customer service is a crucial component of business operations, significantly affecting customer retention and revenue generation. Research shows that 88% of customers are more likely to make repeat purchases when they receive excellent customer service. On the other hand, U.S. companies lose approximately USD 75 billion each year due to poor customer service.

Consumer expectations have evolved; 80% of consumers believe that the experience a company provides is just as important as its products and services. Additionally, 45% of consumers expect their issues to be resolved during their first interaction.

The use of artificial intelligence (AI) in customer service is increasing, with 56% of companies currently employing AI-powered chatbots to improve their operations. Projections indicate that by 2025, 85% of customer interactions will be managed without human intervention, thanks to advancements in AI. However, the human touch remains essential, as 80% of consumers expect to interact with a live agent when they contact a company.

These statistics illustrate the vital role of exceptional customer service in building loyalty and driving business success.

The COVID-19 pandemic marked a change of pace in e-commerce personalization. According to a global study, in 2017, 44 percent of consumers stated they would become repeat buyers after a personalized digital shopping experience. After the global e-commerce surge in 2021, the figure declined but remained higher than pre-pandemic levels. As of 2023, 56 percent of surveyed consumers were driven to purchase again from a retailer providing online personalization. Regional variations in personalization preferences The demand for personalized online shopping experiences varies across countries. In the United States, nearly half of consumers desire personalized service when buying online, leading a ranking of 17 countries. Spain and Australia follow closely, with 42 percent of respondents expressing similar preferences. Another survey showed that Portuguese consumers show the highest appetite for personalized product recommendations, with over 50 percent desiring such features. Data privacy concerns While personalization is increasingly valued, concerns about data privacy persist, particularly among older consumers. A 2024 survey revealed that 55 percent of U.S. consumers aged 55 to 59 are the least likely to share personal data with AI technologies for shopping purposes. In contrast, only 25 percent of shoppers aged 18 to 24 express such reservations. This generational divide extends to AI-driven personalization, with 43 percent of Baby Boomers globally rejecting AI personalization in their customer journey, compared to just 15 percent of Gen Z shoppers.

Customer Loyalty Program Software Market size was valued at USD 4.1 Billion in 2024 and is projected to reach USD 10.97 Billion by 2031, growing at a CAGR of 13.07% from 2024 to 2031.

Businesses are increasingly recognizing that maintaining existing clients is more cost-effective than obtaining new ones. Customer Loyalty Program Software offers an organized strategy for rewarding repeat customers, and increasing customer happiness, loyalty, and long-term involvement. Companies dramatically boost the possibility of client repeat purchases by providing targeted rewards and personalized experiences, hence driving market development.

The capacity to collect and evaluate client data is critical when developing an effective marketing strategy. Customer Loyalty Program Software enables organizations to gain deep insights into their customers’ behavior, preferences, and purchasing history. This data enables the optimization of marketing activities and the creation of highly personalized consumer experiences, fueling demand for such software as businesses look to use data to achieve a competitive advantage.

Furthermore, advanced technologies such as artificial intelligence, machine learning, and blockchain have been integrated into Customer Loyalty Program Software to improve its efficiency and security. These technologies allow for the automation of rewards distribution, fraud detection, and the construction of individualized customer experiences. Furthermore, the ability to effortlessly link with other company systems (such as CRM, ERP, and e-commerce platforms) improves the operational efficiency of loyalty programs, driving market growth.

In the United States, during the first half of 2023, the share of repeat visitors to Ulta Beauty amounted to about 34.4 percent, an increase compared to the same period of time in the previous year, when this figure came to nearly 32 percent.

India IHIS: Percentage of Repeat Hotel Guests: Less than 50 Rooms data was reported at 42.600 % in 2018. This records a decrease from the previous number of 44.800 % for 2017. India IHIS: Percentage of Repeat Hotel Guests: Less than 50 Rooms data is updated yearly, averaging 46.600 % from Mar 2000 (Median) to 2018, with 19 observations. The data reached an all-time high of 51.100 % in 2005 and a record low of 25.000 % in 2000. India IHIS: Percentage of Repeat Hotel Guests: Less than 50 Rooms data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHB016: Indian Hotel Industry Survey: Percentage of Repeat Hotel Guests.

Fast-moving consumer goods (FMCG) had the highest customer retention rate among the main e-commerce categories in France in the first quarter of 2023, with a returning customer rate of 62 percent. In contrast, categories like fashion and home appliances had a customer retention rate of 54 percent and 51 percent, respectively.

NOTE TO USERS -- There may be disruption to this data set between March 19 to March 29 related to a upgrade. Please contact dsdopendata@austintexas.gov with questions. City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq This dataset shows a list of properties on Austin Codes Repeat Offender list. Status is included to indicate if the property is a currently active registered repeat offender.

Your Premier Source for Comprehensive Consumer Marketing Data

Accurate Append offers an extensive consumer marketing data repository designed to empower businesses with the tools they need to connect with the right consumers. Our database encompasses over 900 million consumer contact records across the United States, providing a robust foundation for your marketing, lead generation, and customer engagement strategies.

The Power of Accurate Consumer Marketing Data Our consumer marketing data includes verified email addresses, landlines, and mobile phone numbers, all available through batch data delivery or real-time API integration. This comprehensive dataset allows you to reach a wide range of consumers with precision, whether you're focusing on email marketing, telemarketing, or enriching your existing customer records.

Real-Time Validation: Our consumer marketing data undergoes continuous real-time validation, ensuring you always have access to the most current and accurate consumer information. This process significantly reduces bounce rates and enhances the success of your marketing campaigns.

Nationwide Coverage: With over 900 million consumer records, our consumer marketing data provides extensive coverage across the entire United States. This broad reach allows you to target consumers in various demographics and locations, giving you the flexibility to tailor your marketing strategies to specific regions or nationwide campaigns.

Leveraging Consumer Marketing Data for Business Success Accurate Append's consumer marketing data can be applied across various use cases, offering businesses the ability to fine-tune their outreach efforts for better results:

Email Marketing Campaigns: Reach consumers with targeted, personalized messages using accurate email addresses. Our B2C marketing data enables you to optimize open rates and increase engagement by connecting with the right audience at the right time.

Telemarketing: Enhance your outbound calling campaigns with verified landlines and mobile phone numbers. With access to accurate contact information, you can focus on consumers who are more likely to engage with your offers.

Customer Data Enrichment: Enrich your existing customer records by appending missing or outdated contact information. This enables you to create more complete profiles for personalized marketing and better customer interactions.

Lead Generation: Identify high-quality leads with detailed B2C marketing data. Our data helps you engage with prospects that fit your target audience, increasing the chances of converting them into customers.

Customer Retargeting: Use enriched consumer marketing data to reconnect with consumers who have shown interest in your brand. Accurate Append's real-time validation ensures that you're reaching out to consumers with up-to-date contact information, helping you increase retention and repeat business.

Key Features and Benefits of Accurate Append's Consumer Marketing Data Accurate Append offers several advantages when it comes to providing reliable B2C marketing data, giving your business a competitive edge: API Access: For businesses looking for instant access to consumer data, our API allows you to integrate directly with our database. This real-time data access enables you to append or validate contact information instantly, enhancing your workflows and saving time.

Comprehensive Coverage: With over 900 million Consumer marketing data records, Accurate Append provides extensive coverage of US consumers. Our data spans across various demographics and locations, giving you the ability to target your ideal audience with ease.

Customizable Data Solutions: We offer both batch processing and API access to fit your specific business needs. Whether you require a large-scale data appending service or real-time data integration, Accurate Append has the flexibility to deliver consumer marketing data in a way that works best for you.

High Match Rate: Accurate Append is known for its high match rate, ensuring that your existing data is enriched and appended with the most relevant contact information. This allows you to maximize your outreach potential by increasing the number of valid contacts in your database.

Maximizing Your Marketing Efforts with Consumer Marketing Data Accurate Append's consumer marketing data gives your business the ability to target, engage, and convert consumers across the United States with greater precision. Whether you're focused on email marketing, telemarketing, lead generation, or customer data enrichment, our high-quality data solutions are built to drive success in your campaigns.

Enhanced Targeting: Leverage our comprehensive consumer marketing data to identify and reach your ideal consumer segments with precision. This targeted approach can significantly improve your marketing ROI by ensuring your messages reach the most relevant audiences.

Improved Campaign Efficiency: With acce...

India IHIS: Percentage of Repeat Hotel Guests: Five-Star data was reported at 35.600 % in 2018. This records an increase from the previous number of 25.200 % for 2017. India IHIS: Percentage of Repeat Hotel Guests: Five-Star data is updated yearly, averaging 35.300 % from Mar 2000 (Median) to 2018, with 19 observations. The data reached an all-time high of 48.200 % in 2005 and a record low of 25.200 % in 2017. India IHIS: Percentage of Repeat Hotel Guests: Five-Star data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHB016: Indian Hotel Industry Survey: Percentage of Repeat Hotel Guests.

These data are microgravity measurements collected in Yellowstone National Park. Data are collected using multiple instruments, which each data file representing measurements from a specific instrument during a specific time period. The data dictionary explains the file format and contents, and the dataset will be updated as new data are collected.

During the July 2019 survey of shoppers worldwide, 77 percent of respondents stated that they preferred to make first-time purchases at a physical store , whereas 37 percent of repeat buyers preferred online marketplaces. In total, approximately two thirds of repeat purchases are made online.

Participant: Asha Krishnan

Ambrose, Brent W., Coulson, N. Edward, and Yoshida, Jiro, (2015) "The Repeat Rent Index." Review of Economics and Statistics 97:5, 939-950.

India IHIS: Percentage of Repeat Hotel Guests: Independent Hotels data was reported at 42.800 % in 2018. This records a decrease from the previous number of 45.000 % for 2017. India IHIS: Percentage of Repeat Hotel Guests: Independent Hotels data is updated yearly, averaging 47.300 % from Mar 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 50.400 % in 2005 and a record low of 42.800 % in 2018. India IHIS: Percentage of Repeat Hotel Guests: Independent Hotels data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHB016: Indian Hotel Industry Survey: Percentage of Repeat Hotel Guests.

ExactOne delivers unparalleled consumer transaction insights to help investors and corporate clients uncover market opportunities, analyze trends, and drive better decisions.

Dataset Highlights - Source: Debit and credit card transactions from 600K+ active users and 2M accounts connected via Open Banking. Scale: Covers 250M+ annual transactions, mapped to 1,800+ merchants and 400+ tickers. Historical Depth: Over 6 years of transaction data. Flexibility: Analyse transactions by merchant/ticker, category/industry, or timeframe (daily, weekly, monthly, or quarterly).

ExactOne data offers visibility into key consumer industries, including: Airlines - Regional / Budget Airlines - Cargo Airlines - Full Service Autos - OEMs Communication Services - Cable & Satellite Communication Services - Integrated Telecommunications Communication Services - Wireless Telecom Consumer - Services Consumer - Health & Fitness Consumer Staples - Household Supplies Energy - Utilities Energy - Integrated Oil & Gas Financial Services - Insurance Grocers - Traditional Hotels - C-corp Industrial - Misc Industrial - Tools And Hardware Internet - E-commerce Internet - B2B Services Internet - Ride Hailing & Delivery Leisure - Online Gambling Media - Digital Subscription Real Estate - Brokerage Restaurants - Quick Service Restaurants - Fast Casual Restaurants - Pubs Restaurants - Specialty Retail - Softlines Retail - Mass Merchants Retail - European Luxury Retail - Specialty Retail - Sports & Athletics Retail - Footwear Retail - Dept Stores Retail - Luxury Retail - Convenience Stores Retail - Hardlines Technology - Enterprise Software Technology - Electronics & Appliances Technology - Computer Hardware Utilities - Water Utilities

Use Cases

For Private Equity & Venture Capital Firms: - Deal Sourcing: Identify high-growth opportunities. - Due Diligence: Leverage transaction data to evaluate investment potential. - Portfolio Monitoring: Track performance post-investment with real-time data.

For Consumer Insights & Strategy Teams: - Market Dynamics: Compare sales trends, average transaction size, and customer loyalty. - Competitive Analysis: Benchmark market share and identify emerging competitors. - E-commerce vs. Brick & Mortar Trends: Assess channel performance and strategic opportunities. - Demographic & Geographic Insights: Uncover growth drivers by demo and geo segments.

For Investor Relations Teams: - Shareholder Insights: Monitor brand performance relative to competitors. - Real-Time Intelligence: Analyse sales and market dynamics for public and private companies. - M&A Opportunities: Evaluate market share and growth potential for strategic investments.

Key Benefits of ExactOne - Understand Market Share: Benchmark against competitors and uncover emerging players. - Analyse Customer Loyalty: Evaluate repeat purchase behavior and retention rates. - Track Growth Trends: Identify key drivers of sales by geography, demographic, and channel. - Granular Insights: Drill into transaction-level data or aggregated summaries for in-depth analysis.

With ExactOne, investors and corporate leaders gain actionable, real-time insights into consumer behaviour and market dynamics, enabling smarter decisions and sustained growth.

India IHIS: Percentage of Repeat Hotel Guests: One-Star data was reported at 43.500 % in 2017. This records a decrease from the previous number of 49.700 % for 2016. India IHIS: Percentage of Repeat Hotel Guests: One-Star data is updated yearly, averaging 49.950 % from Mar 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 66.600 % in 2005 and a record low of 21.100 % in 2000. India IHIS: Percentage of Repeat Hotel Guests: One-Star data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHB016: Indian Hotel Industry Survey: Percentage of Repeat Hotel Guests.

This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: 'AAI' means the license was issued.

Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.

Data Owner: Business Affairs and Consumer Protection

Time Period: Current

Frequency: Data is updated daily

Malaysia Consumers: Reasons: Returning Products: Does Not Fit data was reported at 12.100 % in 2018. Malaysia Consumers: Reasons: Returning Products: Does Not Fit data is updated yearly, averaging 12.100 % from Dec 2018 (Median) to 2018, with 1 observations. Malaysia Consumers: Reasons: Returning Products: Does Not Fit data remains active status in CEIC and is reported by Malaysian Communications and Multimedia Commission. The data is categorized under Global Database’s Malaysia – Table MY.S026: E-Commerce Consumer Survey.