Demografy is a privacy by design customer demographics prediction AI platform.
Core features: - Demographic segmentation - Demographic analytics - API integration - Data export
Key advantages: - 100% coverage of lists - Accuracy estimate before purchase - GDPR-compliance as no sensitive data is required. Demografy can work with only first names or masked last names
Use cases: - Actionable analytics about your customers to get demographic insights - Appending missing demographic data to your records for customer segmentation and targeted marketing campaigns - Enhanced personalization knowing you customer better
Unlike traditional solutions, you don’t need to know and disclose your customer or prospect addresses, emails or other sensitive information. You can provide even masked last names keeping personal data in-house. This makes Demografy privacy by design and enables you to get 100% coverage of your audience since all you need to know is names.
Premium B2C Consumer Database - 269+ Million US Records
Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.
Core Database Statistics
Consumer Records: Over 269 million
Email Addresses: Over 160 million (verified and deliverable)
Phone Numbers: Over 76 million (mobile and landline)
Mailing Addresses: Over 116,000,000 (NCOA processed)
Geographic Coverage: Complete US (all 50 states)
Compliance Status: CCPA compliant with consent management
Targeting Categories Available
Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)
Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options
Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics
Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting
Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting
Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors
Multi-Channel Campaign Applications
Deploy across all major marketing channels:
Email marketing and automation
Social media advertising
Search and display advertising (Google, YouTube)
Direct mail and print campaigns
Telemarketing and SMS campaigns
Programmatic advertising platforms
Data Quality & Sources
Our consumer data aggregates from multiple verified sources:
Public records and government databases
Opt-in subscription services and registrations
Purchase transaction data from retail partners
Survey participation and research studies
Online behavioral data (privacy compliant)
Technical Delivery Options
File Formats: CSV, Excel, JSON, XML formats available
Delivery Methods: Secure FTP, API integration, direct download
Processing: Real-time NCOA, email validation, phone verification
Custom Selections: 1,000+ selectable demographic and behavioral attributes
Minimum Orders: Flexible based on targeting complexity
Unique Value Propositions
Dual Spouse Targeting: Reach both household decision-makers for maximum impact
Cross-Platform Integration: Seamless deployment to major ad platforms
Real-Time Updates: Monthly data refreshes ensure maximum accuracy
Advanced Segmentation: Combine multiple targeting criteria for precision campaigns
Compliance Management: Built-in opt-out and suppression list management
Ideal Customer Profiles
E-commerce retailers seeking customer acquisition
Financial services companies targeting specific demographics
Healthcare organizations with compliant marketing needs
Automotive dealers and service providers
Home improvement and real estate professionals
Insurance companies and agents
Subscription services and SaaS providers
Performance Optimization Features
Lookalike Modeling: Create audiences similar to your best customers
Predictive Scoring: Identify high-value prospects using AI algorithms
Campaign Attribution: Track performance across multiple touchpoints
A/B Testing Support: Split audiences for campaign optimization
Suppression Management: Automatic opt-out and DNC compliance
Pricing & Volume Options
Flexible pricing structures accommodate businesses of all sizes:
Pay-per-record for small campaigns
Volume discounts for large deployments
Subscription models for ongoing campaigns
Custom enterprise pricing for high-volume users
Data Compliance & Privacy
VIA.tools maintains industry-leading compliance standards:
CCPA (California Consumer Privacy Act) compliant
CAN-SPAM Act adherence for email marketing
TCPA compliance for phone and SMS campaigns
Regular privacy audits and data governance reviews
Transparent opt-out and data deletion processes
Getting Started
Our data specialists work with you to:
Define your target audience criteria
Recommend optimal data selections
Provide sample data for testing
Configure delivery methods and formats
Implement ongoing campaign optimization
Why We Lead the Industry
With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.
Contact our team to discuss your specific ta...
GapMaps GIS data for USA and Canada sourced from Applied Geographic Solutions (AGS) includes an extensive range of the highest quality demographic and lifestyle segmentation products. All databases are derived from superior source data and the most sophisticated, refined, and proven methodologies.
GIS Data attributes include:
Latest Estimates and Projections The estimates and projections database includes a wide range of core demographic data variables for the current year and 5- year projections, covering five broad topic areas: population, households, income, labor force, and dwellings.
Crime Risk Crime Risk is the result of an extensive analysis of a rolling seven years of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, Crime Risk provides an accurate view of the relative risk of specific crime types (personal, property and total) at the block and block group level.
Panorama Segmentation AGS has created a segmentation system for the United States called Panorama. Panorama has been coded with the MRI Survey data to bring you Consumer Behavior profiles associated with this segmentation system.
Business Counts Business Counts is a geographic summary database of business establishments, employment, occupation and retail sales.
Non-Resident Population The AGS non-resident population estimates utilize a wide range of data sources to model the factors which drive tourists to particular locations, and to match that demand with the supply of available accommodations.
Consumer Expenditures AGS provides current year and 5-year projected expenditures for over 390 individual categories that collectively cover almost 95% of household spending.
Retail Potential This tabulation utilizes the Census of Retail Trade tables which cross-tabulate store type by merchandise line.
Environmental Risk The environmental suite of data consists of several separate database components including: -Weather Risks -Seismological Risks -Wildfire Risk -Climate -Air Quality -Elevation and terrain
Primary Use Cases for GapMaps GIS Data:
Integrate AGS demographic data with your existing GIS or BI platform to generate powerful visualizations.
Finance / Insurance (eg. Hedge Funds, Investment Advisors, Investment Research, REITs, Private Equity, VC)
Network Planning
Customer (Risk) Profiling for insurance/loan approvals
Target Marketing
Competitive Analysis
Market Optimization
Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)
Tenant Recruitment
Target Marketing
Market Potential / Gap Analysis
Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)
Customer Profiling
Target Marketing
Market Share Analysis
Automatic Gender recognition
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Introduction Demographic segmentation has been a key part of the marketing strategy for decades, and as more and more buyers conduct their research and make purchase decisions online, it's become even more pivotal to marketing's overall success. From highly targeted ad campaigns to personalized web pages for returning website visitors, it's now easier than ever to reach a specific persona, group, or individual online, and with so many companies competing for buyers' attention online today, knowing just where to find your prospects and how to best communicate with them is crucial. Under Demographic segmentation, marketing professionals divide the population based on demographic variables, such as age, gender, income, etc. The problem that we are trying to solve is Gender segmentation.
Gender Segmentation - Under gender segmentation, the database is divided into male or female. Both men and women have different interest in terms of shopping for various products such as apparel, cosmetics, perfumes, shoes, etc. and even food habits. The segmentation based on gender is important for lots of industries which have portfolios for both male as well as female. For example, Nike as a sportswear company has a separate portfolio for both male as well as female. As a company, Nike will have to come out with different strategies to market products differently for male and female. The company even has to create a separate segment for both men and women in the showroom itself. This is much evident if you go to an apparel showroom such as Zara, Marks & Spencers, etc.
Times Internet Limited is No 1 Premium Digital Publisher in the world with over 400 million monthly unique visitors, consuming 10K+ unique contents which are published daily generating 80 billion monthly pageviews. Since, most of TIL revenue comes from Digital Advertising where TIL focuses on serving relevant ads to its audiences. Hence, Gender Identification is very crucial for us in order to plan and execute successful marketing campaigns for brands and provide maximum ROI to our Advertisers. Unlike other social media platforms where users submit their personal details like gender, age, etc TIL is a publishing company where users consumes content without sharing their personal details. Hence, we need a solution to identify their gender by understanding how they interact with TIL digital contents. Problem Statement Automatic Gender recognition based on digital content reading pattern through Machine Learning.
Data There will be 2 data sets that would be shared with the participants for understanding the structure of the datasets, training their algorithm(s)/model(s) and to test their model and present their findings/results.
***Sample Data (for training) ***- To understand the structure of the data, so, that they can extract the information from sample data. File will contain fields for users from different gender and the content they had consumed, the participants have to analyse, understand and train their algorithm/model on this data.
***Testing Data ***- This is the system data (with certain modified fields, see Privacy Policy section), where the participants have to run their model and submit their results and presentation over the same. Data Set Download Data Set File Name Description Format Size UserIdToUrl.zip Url visited by user zip Urls_Json_Data.zip Urls details zip UserIdToGender_Train.csv User to gender data for training csv UserId_Test.csv User to gender data for testing csv sample_submission.csv Sample submission csv
Data Dictionary Here's a brief version of what you'll find in the data description file.
Variable Description userid User id gender Gender url Content URL title Title of the Content description Short Description of the Content long_description Long Description of the Content alt_titles Alternate Title of the Content brand Content Brand Name language Language of the Content Submission Model Implementation Findings & Insights of the model results of the above Presentation Evaluation Metric The score is calculated with the following formula:
Score = Number of correct predictions / Total records*100
As of January 2025, 78 percent of social media users in the United States aged 40 to 49 years were users of Facebook, as were 75 percent of 30 to 39 year olds in the country. Overall, 66 percent of those aged 18 to 29 years were using Instagram in the U.S. The social media market in the United States The number of social media users in the United States has shown continuous growth in the past years, and it is forecast to continue increasing to reach 342 million users in 2029. As of 2023, the social network user penetration in the United States amounted to an impressive 91.56 percent, meaning that more than nine in ten people in the country engaged with online platforms. Furthermore, Facebook was by far the most popular social media platform in the United States, accounting for 45 percent of all social media visits in 2023, followed by Pinterest with 21.2 percent of visits. The global social media landscape As of April 2024, 5.07 billion people were social media users, accounting for 62.6 percent of the world’s population. Northern Europe was the region with the highest social media penetration rate with a reach of 80.2 percent, followed by Western Europe with 78.2 percent and Eastern Asia 74.9 percent. In contrast, less than one in ten people in Middle Africa used social networks. Facebook’s popularity is not limited to the United States: this network leads the market on a global scale, and it accumulated more than three billion monthly active users (MAU) as of 2024, which is far more any other social media platform. 272014 YouTube, Instagram, and WhatsApp followed, all with two billion or more MAU.
US Senior Living Market Size 2025-2029
The senior living market in US size is forecast to increase by USD 30.58 billion at a CAGR of 5.9% between 2024 and 2029.
The senior living market is experiencing significant growth due to various driving factors. One of the primary factors is the aging population, as the number of seniors continues to increase, the demand for services is also rising. Another key trend is the integration of technology into senior living facilities, which enhances the quality of care and improves the overall living experience for seniors. Innovations in artificial intelligence, data analytics, predictive modeling, and personalized care plans are disrupting traditional care models and improving overall financial sustainability through cost containment and value-based care. However, affordability remains a challenge for many seniors and their families, as the cost of services can be prohibitive. This report provides a comprehensive analysis of these factors and more, offering insights into the current state and future direction of the market.
What will be the Size of the Market During the Forecast Period?
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The market encompasses a range of services designed to address the unique needs of an aging population, including long-term care, end-of-life care, palliative care, hospice care, respite care, adult day care, home health services, geriatric care, and various forms of cognitive and behavioral health support. This market is driven by demographic trends, with the global population of individuals aged 65 and above projected to reach 1.5 billion by 2050.
Key challenges in this market include addressing cognitive decline, social isolation, fall prevention, medication management, nutritional support, mobility assistance, personal care assistance, continence management, and other aspects of daily living. Additionally, there is a growing focus on quality of life, resident satisfaction, staffing ratios, caregiver training, technology adoption, and regulatory compliance. The aging services network is evolving to provide a continuum of care, from independent living to palliative care, with a focus on evidence-based practices, industry best practices, and regulatory compliance.
How is this market segmented, and which is the largest segment?
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. Service TypeAssisted livingIndependent livingCCRCAge GroupAge 85 and olderAge 66-84Age 65 and underBy TypeMedical ServicesNon-Medical ServicesDistribution ChannelDirect SalesAgency ReferralsOnline PlatformsEnd-UserBaby BoomersSilent GenerationGen XGeographyUS
By Service Type Insights
The assisted living segment is estimated to witness significant growth during the forecast period. Assisted living communities cater to seniors who require assistance with daily activities but do not necessitate full-time nursing care. These residences offer a combination of personalized care, social engagement, and medical support in a secure and comfortable setting. The market is experiencing growth due to the expanding aging population, rising life expectancy, and a preference for home-like environments over traditional nursing homes. Personalized care services are a defining feature of assisted living. Residents receive aid with activities of daily living, such as bathing, dressing, grooming, medication management, and mobility assistance, based on their individual needs.
Trained staff members are available 24/7 to ensure the safety and well-being of residents. Memory care communities are a specialized segment within assisted living, designed for seniors with Alzheimer's disease and other forms of dementia. These facilities provide secure environments and specialized care techniques to address the unique needs of these residents. Independent living communities offer seniors the opportunity to live in a social, active environment while maintaining their independence. These communities provide housing solutions with minimal support services, such as meal preparation and housekeeping. Nursing care homes and skilled nursing facilities offer comprehensive care for seniors with chronic health conditions and complex care needs.
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Market Dynamics
Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
What are the key market drivers leading to the rise in adoption of US Senior Living Market?
An aging population is the key driver of the market. The market in the US is experiencing significant grow
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In the context of Indonesian online markets, this study uses a quantitative methodology to methodically examine the intricate relationships between utilitarian browsing, hedonic browsing, electronic word-of-mouth (eWOM), e-satisfaction, and e-loyalty. The study makes use of purposive sample approaches and focuses on active consumers of online marketplaces. 962 respondents are given access to an organized online survey that asks questions on their demographics, internet surfing habits, participation in eWOM, e-satisfaction, and e-loyalty. The survey is pre-tested to make sure it is relevant and clear before going live. Three endogenous variables—eWOM, e-satisfaction, and e-loyalty—as well as two exogenous variables—utilitarian and hedonic browsing—are examined in this study.
Statistical analysis of data is done through the use of SPSS 29 and Smart PLS software. Structural Equation Modeling (SEM) is used to examine the complex interactions between the variables, while descriptive statistics are used to investigate the sample demographics and important variables. To gain a deeper understanding of the complex relationships inside the model, mediation analyses are carried out. In keeping with the ethical guidelines for research involving human subjects, informed permission, anonymity, and confidentiality for all participants are given top priority. This study is noteworthy because it has the ability to offer insightful information to companies that operate in the Indonesian online market. This information can help with the creation of more focused marketing campaigns, improved client interactions, and the promotion of e-loyalty. In order to evaluate any potential variations in the reactions of Millennials, Gen X, and Baby Boomers across the factors under investigation, the study also includes a comparison analysis of these groups.
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Real Estate Market size was valued at USD 79.7 Trillion in 2024 and is projected to reach USD 103.6 Trillion by 2031, growing at a CAGR of 5.1% during the forecasted period 2024 to 2031
Global Real Estate Market Drivers
Population Growth and Urbanization: In order to meet the demands of businesses, housing needs, and infrastructure development, there is a constant need for residential and commercial properties as populations and urban areas rise.
Low Interest Rates: By making borrowing more accessible, low interest rates encourage both individuals and businesses to make real estate investments. Reduced borrowing costs result in reduced mortgage rates, opening up homeownership and encouraging real estate investments and purchases.
Economic Growth: A thriving real estate market is a result of positive economic growth indicators like GDP growth, rising incomes, and low unemployment rates. Robust economies establish advantageous circumstances for real estate investment, growth, and customer assurance in the housing sector. Job growth and income increases: As more people look for rental or purchase close to their places of employment, housing demand is influenced by these factors. The housing market is driven by employment opportunities and rising salaries, which in turn drive home buying, renting, and property investment activity. Infrastructure Development: The demand and property values in the surrounding areas can be greatly impacted by investments made in infrastructure projects such as public facilities, utilities, and transportation networks. Accessibility, convenience, and beauty are all improved by improved infrastructure, which encourages real estate development and investment.
Government Policies and Incentives: Tax breaks, subsidies, and first-time homebuyer programs are a few examples of government policies and incentives that can boost the real estate market and homeownership. Market stability and growth are facilitated by regulatory actions that promote affordable housing, urban redevelopment, and real estate development.
Foreign Investment: Foreign capital can be used to stimulate demand, diversify property portfolios, and pump capital into the real estate market through direct property purchases or real estate investment funds. Foreign investors are drawn to the local real estate markets by favorable exchange rates, stable political environments, and appealing returns.
Demographic Trends: Shifting demographic trends affect housing preferences and demand for various property kinds. These trends include aging populations, household formation rates, and migration patterns. It is easier for real estate developers and investors to match supply with changing market demand when they are aware of demographic fluctuations.
Technological Innovations: New technologies that are revolutionizing the marketing, transactions, and management of properties include digital platforms, data analytics, and virtual reality applications. In the real estate industry, technology adoption increases market reach, boosts customer experiences, and increases operational efficiency.
Environmental Sustainability: Decisions about real estate development and investment are influenced by the growing knowledge of environmental sustainability and green building techniques. Market activity in environmentally aware real estate categories is driven by demand for eco-friendly neighborhoods, sustainable design elements, and energy-efficient buildings.
The statistical data generated through the administration of the Federal milk order program is recognized widely as one of the benefits of this program. These data provide comprehensive and accurate information on milk supplies, utilization, and sales, as well as class prices established under the orders and prices paid to dairy farmers (producers). The sources of this data are monthly reports of receipts and utilization, producer payroll reports, and reports of nonpool handlers filed by milk processors (handlers) subject to the provisions of the various milk orders. The local market administrator (MA) uses these reports to determine pool obligations under the order and to verify proper payments to producers. Auditors employed by the MA review handler records to assure the accuracy of reported information. Reporting errors are corrected; if necessary, pool obligations are revised. After the pool obligations have been determined the local market administrator summarizes the individual handler reports and submits a series of order summary reports to the Market Information Branch (MIB) in Dairy Programs. The MIB summarizes the individual order data and disseminates this information via monthly, bimonthly, and annual releases or publications. Since milk marketing order statistics are based on reports filed by the population of possible reporting firms and not a sample, these statistics are comprehensive. Also, since these individual firm reports are subject to audit and verification, these statistics are accurate. The Federal milk order statistics database contains historical information, beginning in January 2000, generated by the administration of the Federal milk order program. Most of the information in the database has been published previously by the Market Information Branch in Dairy Programs either on its web site or in the Dairy Market News Report. New users are encouraged to use the "User Guide" to learn how to navigate the search screens. If you are interested in a description of the Federal milk order statistics program, or want current data, in ready made table form, use the "Current Information" link.
Customer Analytics Applications Market Size 2024-2028
The customer analytics applications market size is estimated to grow by USD 16.73 billion at a CAGR of 17.58% between 2023 and 2028. The growth of the market depends on several factors, including the increasing number of social media users, the growing need for improved customer satisfaction, and an increase in the adoption of customer analytics by SMEs. Customer analytics application refers to a software or system that analyzes customer data such as behavioral, demographic, and personal information to gain insights into their behavior, preferences, and needs. It uses various techniques such as data mining, predictive modeling, and statistical analysis to gather information and make informed decisions in marketing, sales, product development, and overall customer management. The goal of a customer analytics application is to enhance customer understanding and improve business strategies by allowing companies to make data-driven decisions and provide personalized experiences to their customers.
What will be the Size of the Market During the Forecast Period?
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Market Dynamics
In the evolving internet retail landscape, businesses are increasingly adopting innovative cloud deployment modes to enhance their operational efficiency. Customer Data Platforms (CDPs) like Neustar and Clarity Insight are pivotal in integrating and analyzing customer data to drive personalized experiences and strategic decisions. These platforms leverage cloud deployment modes to offer scalable solutions that support internet retail operations and enhance customer engagement. Data platforms are instrumental in collecting and processing vast amounts of data, providing valuable insights for trailblazers in the industry. By utilizing advanced cloud deployment modes, companies can efficiently manage their data infrastructure and improve their online retail strategies. Integrating Neustar and Clarity Insight into their systems enables businesses to stay ahead of the competition by offering tailored experiences and optimizing their internet retail performance through scalable solutions.
Key Market Driver
An increase in the adoption of customer analytics by SMEs is notably driving market growth. Expanding the efficiency and performance of business operations is critical to achieving the desired set of goals of an organization. Businesses with a customer-centric approach deal with massive amounts of customer data, which is stored, managed, and processed in real-time. SMEs generate numerous forms of customer data related to customer demographics and sales, marketing campaigns, websites, and conversations. Consequently, these businesses must scrutinize all this customer-related data to achieve a competitive edge in the market. SMEs are majorly using these as they enable better forecasting, resource management, and streamlining of data under one platform, lower operational costs, improve decision-making, and expand sales.
In addition, the increase in customer data, along with the companies' need to automate customer data processing, is leading to the increased adoption by SMEs. Hence, customer analytics is being executed across SMEs for better management of their business operations via a centralized management system with enhanced collaboration, productivity, simplified compliance, and risk management. Such factors are the significant driving factors driving the growth of the global market during the forecast period.
Major Market Trends
Advancements in technology are an emerging trend shaping the market growth. AI and ML technologies have revolutionized the way businesses understand and analyze customer data, allowing them to make more informed decisions and deliver customized experiences. Also, AI and ML have played a critical role in fake detection and prevention in the customer analytics market. Algorithms can identify unusual activities that may indicate fraud by analyzing transactional data and behavioral patterns. This allows businesses to secure themselves and their customers from potential financial losses.
Additionally, AI and ML have enhanced customer segmentation capabilities. Businesses can group customers based on their similarities by using clustering algorithms, allowing them to create targeted marketing campaigns for specific segments. This enables enterprises to personalize their messages and offers, resulting in higher customer engagement and conversion rates. These factors are anticipated to fuel the market growth and trends during the forecast period.
Significant Market Restrain
Data integration issues are a significant challenge hindering market growth. To analyze customer data generated from various types of systems, enterprises use these. The expansion in the use of smart devices and Internet penetration is creating
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ObjectiveThis study aims to examine the impact of e-WOM on customer purchase intentions in Facebook fan pages using theories of trust, value co-creation and brand attitude. The present research has set out to explore this emerging domain of study and has thus developed & tested propositions which attempt to establish a relationship between e-WOM and customer‘s purchase intentions. A deeper understanding of this possible association is obtained by studying the mediating roles of Trust, Value Co-Creation, Brand Image and Brand Attitude.MethodologyThe context for exploring this phenomenon is chosen to be the fan pages of smartphone brands on Facebook. The study involved conducting a sample survey of 490 respondents, comprising of both male and female, who belong to 5 smartphone brands Facebook fan pages–Samsung, Moto G, Lenovo, MI and ASUS are considered for the study. Out of which sample of 100 each has been targeted individuallyFindingsThe findings suggested that e-WOM significantly predicts the purchase intentions of the customers of a specific product and considerable impacted on the purchase decision. The findings of the study also reveal that customer ‘s trust beliefs, perceived value co-creation, brand image and brand attitude partially mediate in between relationships of e-WOM and purchase intentionConclusionThe actual presence of different types of consumer electronics brands on the social media, more prominently, the smartphones, which undoubtedly are the most ubiquitous product of this segment. In fact, this indicates that presence on social media is a well- thought organizational strategy developed by companies to gain partial control over the customer ‘s decision- making process by establishing a close connect with the customers for a long period.ImplicationThis consequence will significantly impact the decision-making process of marketers or practitioners in relation to their marketing tactics. This research also indicates that marketers could devise more effective methods for distributing marketing content through social networking sites, while corporations can cultivate favorable electronic word-of-mouth for their products or services. Through the implementation of social media marketing strategies, companies can increase their sales volume and generate higher revenue. The study examined the role of trust, virtual community participation, and desire to purchase as mediators on smartphone brand fan sites on Facebook. It was observed that these factors had a partial influence on customer purchase intention.
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The Honjozo Sake market, valued at $107 million in 2025, exhibits a slightly negative CAGR of -0.4%. While this suggests a relatively stagnant market, a deeper analysis reveals nuanced trends. The segmentation data indicates a significant portion of consumption comes from the 20-40 and 40-60 year-old demographics, suggesting potential for growth through targeted marketing campaigns emphasizing modern interpretations of Honjozo Sake or its pairing with contemporary cuisine. The preference for Polished Rice 50% and 60% suggests a focus on a balance between price and quality, a trend that can be leveraged by producers. Furthermore, the presence of established players like Kubota, Hakkaisan, and Gekkeikan indicates a degree of market maturity, but also an opportunity for smaller, niche producers to carve out unique positions focusing on specific flavor profiles or sustainable production practices. Given the regional data, further investigation into regional preferences and market penetration rates could highlight areas for growth. For example, the Asia Pacific region, especially Japan, is likely a significant market driver, while untapped potential might exist in regions like North America and Europe through strategic import and distribution channels that highlight the unique characteristics of Honjozo Sake compared to other sake types. The slightly negative CAGR might be attributed to several factors including changing consumer preferences towards other alcoholic beverages, economic fluctuations impacting disposable income, and the influence of other alcoholic beverages in certain regions. However, the existing market structure and potential for targeted marketing offer opportunities to offset this stagnation. Producers might consider innovative packaging, collaborations with chefs and mixologists, and an emphasis on the cultural and historical significance of Honjozo Sake to attract younger demographics and expand market share in established and emerging regions. A comprehensive marketing strategy focusing on product differentiation and premiumization within existing segments could revitalize the growth trajectory. Focusing on the specific needs and preferences of each age demographic will be key to achieving future market expansion.
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Content marketing is a core part of a digital marketing strategy. 62% of marketers plan to increase content marketing budgets within the next fiscal year.
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Here are a few use cases for this project:
Use Case 1: Gender-Based Retail Analytics By analyzing customer demographics in retail stores, the "man vrouw dataset 1" can help retailers understand the gender distribution of their shoppers, empowering them to make informed decisions on store layout, marketing strategies, and product placements.
Use Case 2: Crowd Monitoring and Event Management This model can help enhance safety and optimize visitor experience at crowded events, such as concerts or festivals, by identifying the gender distribution of attendees, enabling promoters to customize services, restrooms allocation, and security measures accordingly.
Use Case 3: Digital Advertising and Marketing Using the "man vrouw dataset 1" model, businesses can better target their digital advertisements by understanding the key demographic visiting specific websites or engaging with specific content, allowing for tailored ad campaigns designed to target male or female audiences.
Use Case 4: Smart Surveillance and Security Systems The model can be used in surveillance and security systems to help identify and track people by their HU classes (man or vrouw) in premises like airports or corporate buildings, allowing security teams to analyze patterns and prevent potential threats.
Use Case 5: Social Media Image Analysis The "man vrouw dataset 1" model can be used to analyze the gender composition of social media images, providing insights into trends, preferences, and behaviors of different gender groups on social platforms. This information can then be used for targeted marketing or social research purposes.
Demographics Analysis with Consumer Edge Credit & Debit Card Transaction Data
Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal is an aggregated transaction feed that includes consumer transaction data on 100M+ credit and debit cards, including 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants and deep demographic and geographic breakouts. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.
Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel
This data sample illustrates how Consumer Edge data can be used to compare demographics breakdown (age and income excluded in this free sample view) for one company vs. a competitor for a set period of time (Ex: How do demographics like wealth, ethnicity, children in the household, homeowner status, and political affiliation differ for Walmart vs. Target shopper?).
Inquire about a CE subscription to perform more complex, near real-time demographics analysis functions on public tickers and private brands like: • Analyze a demographic, like age or income, within a state for a company in 2023 • Compare all of a company’s demographics to all of that company’s competitors through most recent history
Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.
Use Case: Demographics Analysis
Problem A global retailer wants to understand company performance by age group.
Solution Consumer Edge transaction data can be used to analyze shopper transactions by age group to understand: • Overall sales growth by age group over time • Percentage sales growth by age group over time • Sales by age group vs. competitors
Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key demographic drivers of growth for company-wide reporting • Reduce investment in underperforming age groups, both online and offline • Determine retention by age group to refine campaign strategy • Understand how different age groups are performing compared to key competitors
Corporate researchers and consumer insights teams use CE Vision for:
Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts
Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention
Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities
Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring
Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.
Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends
Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period ...
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This Electric Vehicle (EV) Sales and Adoption dataset contains detailed records of electric vehicle sales, including vehicle details, region, customer segments, and sales metrics. It aims to help data enthusiasts and businesses forecast EV sales, analyze market trends, and derive insights to improve marketing and inventory strategies.
Data Aggregation: Combined from (fictional) public EV registration records, automotive dealership sales reports, and online retailer transactions.
Quality Control: Only confirmed EV transactions are included; partially-completed orders and canceled orders were filtered out.
Revenue Calculation: Reflects the final sale price after applying any applicable discounts or incentives.
Feature Engineering: Customer demographics (segment, region) are included to facilitate market segmentation analysis.
Sales Forecasting – Predict future EV sales volume based on regional and demographic patterns.
Market Trend Analysis – Identify which brands and vehicle types are most popular in specific regions.
Battery and Range Insights – Correlate battery capacity and fast-charging options with sales performance.
Consumer Behavior & Segmentation – Understand different customer segments' purchasing habits and price sensitivities.
Environmental Policy & Incentive Impact – Investigate how discounts or tax incentives affect adoption rates.
Date: Represents a month in YYYY-MM format.
Region: Geographic region where sales took place.
Brand: Automotive brand (e.g., Tesla, BYD, Volkswagen, etc.).
Model: Specific EV model name.
Vehicle_Type: Category (Sedan, SUV, Hatchback, etc.).
Battery_Capacity_kWh: Battery capacity in kilowatt-hours.
Discount_Percentage: Any discount applied to final sale (%).
Customer_Segment: Broad segmentation (High Income, Tech Enthusiast, Eco-Conscious, etc.).
Fast_Charging_Option: Indicates if the vehicle supports fast-charging.
Units_Sold: Total number of units sold (in train.csv).
Revenue: Total revenue from units sold (in train.csv).
This dataset is well-suited for machine learning, statistical analysis, and data visualization projects that address growing interest in electrification, sustainability, and emerging transportation technologies!
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
I have compiled a list of over 150+ digital marketing statistics to help you see how others are leveraging digital marketing for their own businesses today.
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The global eyeglass frames market size is set to grow from USD 36.5 billion in 2023 to an estimated USD 54.9 billion by 2032, at a compound annual growth rate (CAGR) of 4.5%. This robust growth is driven by several factors, including increasing awareness of vision care, rising disposable incomes, and evolving fashion trends.
One of the primary drivers of the eyeglass frames market is the growing prevalence of vision disorders across all age groups. Conditions such as myopia, hyperopia, and presbyopia are becoming increasingly common, necessitating the use of corrective eyewear. Additionally, the aging global population, which is more susceptible to vision impairments, further fuels demand. The World Health Organization (WHO) estimates that over 2.2 billion people worldwide have a vision impairment, with at least 1 billion of these cases preventable or unaddressed, indicating a significant market potential.
Another crucial growth factor is the rising disposable income in emerging economies, which allows consumers to spend more on healthcare and lifestyle products, including eyeglass frames. The increasing middle-class population in countries like China, India, and Brazil is particularly noteworthy. These consumers are not only seeking functional eyewear but also stylish and branded frames, thereby boosting market growth. Moreover, the proliferation of digital screens has led to an increase in digital eye strain, further escalating the demand for eyeglasses.
The market is also significantly influenced by evolving fashion trends and consumer preferences. Eyeglass frames have transitioned from purely functional items to fashion accessories, with many consumers owning multiple pairs to match different outfits or occasions. This trend is particularly prominent among younger demographics who are fashion-conscious and willing to invest in trendy and designer eyeglass frames. The influence of social media and celebrity endorsements also plays a vital role in shaping consumer preferences.
Eyewear Packaging plays a crucial role in the overall consumer experience and brand perception in the eyeglass frames market. As the demand for stylish and high-quality frames increases, so does the need for packaging that not only protects the product but also enhances its appeal. Innovative packaging solutions are being developed to provide a luxurious unboxing experience, often incorporating eco-friendly materials to align with consumer preferences for sustainability. Companies are investing in unique designs and personalized packaging options to differentiate their brands and create a lasting impression. This trend highlights the importance of packaging as a key component of the marketing strategy in the competitive eyewear industry.
Regional outlook reveals varied growth trends, with the Asia Pacific region expected to witness the highest growth due to its large population base and increasing urbanization. North America and Europe continue to be significant markets, driven by high disposable incomes and a strong presence of key market players. Latin America and the Middle East & Africa are also poised for growth, albeit at a slower pace, as awareness and accessibility to vision care products improve in these regions.
The material segment of the eyeglass frames market comprises metal, plastic, combination (metal and plastic), and others. Metal frames, often made from materials such as titanium, stainless steel, and aluminum, are popular for their durability, lightweight nature, and sleek designs. Titanium frames, in particular, are favored for their hypoallergenic properties and resistance to corrosion, making them ideal for both everyday wear and specific needs like sports eyewear. Metal frames tend to appeal to consumers looking for sophisticated and long-lasting options.
Plastic frames, typically made from materials like acetate, propionate, and nylon, offer a wide variety of colors, patterns, and styles, catering to fashion-forward consumers. Acetate frames are particularly popular due to their flexibility, comfort, and the ability to incorporate vibrant colors and patterns. These frames are often more affordable than metal ones and are favored by younger demographics and those looking for more casual or trendy eyewear options.
Combination frames, which incorporate both metal and plastic elements, provide a balance of durability and
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Alto Saxophone Market size was valued at USD 100.1 Billion in 2023 and is projected to reach USD 140.42 Billion by 2030, growing at a CAGR of 5.1% during the forecast period 2024-2030.
Global Alto Saxophone Market Drivers
The market drivers for the Alto Saxophone Market can be influenced by various factors. These may include:
Musical Education Programs: The existence and expansion of music education programs in schools and universities may have an impact on the demand for alto saxophones. These initiatives may increase students' demand for instruments. Music Industry Trends: The demand for alto saxophones can be influenced by trends in the music industry, such as the popularity of particular genres or musicians that use them prominently. Technological Advancements: Design, material, and manufacturing process innovations for saxophones might affect consumer choices. Better materials or features might draw musicians seeking better performance. Economic Factors: The purchasing power of customers can be impacted by the general state of the economy of an area or nation. People and organizations may reduce discretionary expenditure during recessions, which could have an impact on the market. Cultural and Demographic Factors: The markets for musical instruments are influenced by both cultural tastes and demographics. For example, there can be a greater demand for alto saxophones in areas with a strong jazz or classical music background. Promotional Activities: Manufacturers, retailers, and musicians of saxophones can increase interest and sales through marketing and promotional initiatives. Collaborations, endorsements, and sponsorships of musicians could make a big difference. Globalization and Trade Policies: These two factors may have an impact on alto saxophone availability and cost. The dynamics of the market may change as a result of modifications to trade agreements, tariffs, and import/export laws. Online Retail Trends: Saxophone sales may be impacted by the expansion of e-commerce and online retail platforms. Choices made by consumers may be influenced by the ease of internet shopping and the abundance of possibilities. Product Quality and Reputation: Purchase decisions can be greatly influenced by a manufacturer's reputation as well as the quality of their items as viewed by consumers. Sales may be boosted by favorable evaluations and suggestions from established musicians. Environmental Concerns: As people become more conscious of environmental issues, they could choose to use eco-friendly and sustainable materials when making instruments.
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The United States full-service restaurant (FSR) market, encompassing diverse cuisines and outlet types, presents a dynamic landscape ripe for analysis. While precise market size figures for 2019-2024 are not provided, a reasonable estimation can be made leveraging industry knowledge and publicly available data from companies like those listed (BJ's Restaurants, Bloomin' Brands, etc.). Considering the presence of major players and the consistent demand for dining experiences, it's plausible to assume a substantial market size, potentially exceeding $XXX billion in 2024, growing at a moderate CAGR (let's assume a conservative 3% for illustration). Key drivers include evolving consumer preferences toward higher-quality dining experiences, increased disposable incomes (in specific demographics), and the growing popularity of diverse cuisines beyond traditional American fare. Trends such as the rise of experiential dining, the integration of technology (online ordering, delivery platforms), and a focus on sustainability are shaping the market. However, restraints include escalating labor costs, supply chain disruptions impacting food prices, and intense competition, particularly in densely populated areas. The segmentation by cuisine (Asian, European, etc.), outlet type (chained vs. independent), and location (leisure, lodging, etc.) reveals lucrative niches within the market, offering opportunities for specialized businesses and strategic expansion for established players. The forecast period (2025-2033) presents opportunities for growth, particularly within the more rapidly expanding segments. Continued innovation in menu offerings, customer service, and operational efficiency will be critical for success. While some segments, such as standalone restaurants in less populated areas, might face challenges, the overall market is expected to show resilience. The sustained demand for dining out, coupled with strategic investments in technology and marketing, suggests a positive outlook for this dynamic sector. Further, regional variations in consumer preferences and economic conditions will influence the growth trajectory of specific sub-segments within the US FSR market. For example, higher population density areas are likely to show stronger growth rates compared to less densely populated regions. Recent developments include: January 2023: Applebee’s announced the return of its USD 6 Smoocho Mucho Sips.December 2022: Dine Brands Global Inc. acquired Fuzzy's Taco Shop® ("Fuzzy's") from Experiential Brands LLC, a wholly-owned subsidiary of NRD Holding Company, for USD 80 million in cash.November 2022: Brinker International announced that its brand Chili's Grill & Bar launched its first to-go-only location nationwide.. Notable trends are: A significant rise in tourist arrivals is driving the market growth, capitalizing on the opportunities presented by the influx of visitors.
Demografy is a privacy by design customer demographics prediction AI platform.
Core features: - Demographic segmentation - Demographic analytics - API integration - Data export
Key advantages: - 100% coverage of lists - Accuracy estimate before purchase - GDPR-compliance as no sensitive data is required. Demografy can work with only first names or masked last names
Use cases: - Actionable analytics about your customers to get demographic insights - Appending missing demographic data to your records for customer segmentation and targeted marketing campaigns - Enhanced personalization knowing you customer better
Unlike traditional solutions, you don’t need to know and disclose your customer or prospect addresses, emails or other sensitive information. You can provide even masked last names keeping personal data in-house. This makes Demografy privacy by design and enables you to get 100% coverage of your audience since all you need to know is names.