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:

1. 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.

2. 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.

3. 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.

4. Business Counts Business Counts is a geographic summary database of business establishments, employment, occupation and retail sales.

5. 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.

6. Consumer Expenditures AGS provides current year and 5-year projected expenditures for over 390 individual categories that collectively cover almost 95% of household spending.

7. Retail Potential This tabulation utilizes the Census of Retail Trade tables which cross-tabulate store type by merchandise line.

8. 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:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
2. Customer Profiling: get a detailed understanding of the demographic & segmentation profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular census block level using all the key metrics
4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
5. Target Marketing: Develop effective marketing strategies to acquire more customers.

6. Integrate AGS demographic data with your existing GIS or BI platform to generate powerful visualizations.

7. Finance / Insurance (eg. Hedge Funds, Investment Advisors, Investment Research, REITs, Private Equity, VC)

8. Network Planning

9. Customer (Risk) Profiling for insurance/loan approvals

10. Target Marketing

11. Competitive Analysis

12. Market Optimization

13. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

14. Tenant Recruitment

15. Target Marketing

16. Market Potential / Gap Analysis

17. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

18. Customer Profiling

19. Target Marketing

20. Market Share Analysis

During a survey carried out in November 2021 among marketers from 10 countries worldwide, 52 percent stated their organizations used past purchases to define target consumer segments. Consumer demographics, such as age, gender, income, or location, were used most often, named by 60 percent of respondents.

Advertising Market Outlook

The global advertising market size was valued at approximately $700 billion in 2023 and is projected to reach around $1.2 trillion by 2032, growing at a CAGR of about 6.2% during the forecast period. The primary growth factor driving this market is the rapid expansion of digital platforms and the increasing importance of targeted advertising. The proliferation of smartphones and the internet has significantly transformed the advertising landscape, enabling advertisers to reach their audience more efficiently and effectively.

A major growth factor for the advertising market is the ever-increasing penetration of digital devices and internet connectivity. With more than half of the global population now having access to the internet, advertisers have an unprecedented opportunity to reach a vast audience. The rise of social media platforms, search engines, and video-sharing sites has further enabled highly targeted and measurable advertising campaigns, which have proven to be more efficient and cost-effective compared to traditional advertising methods.

Another significant driver is the advancements in data analytics and artificial intelligence. These technologies allow advertisers to analyze vast amounts of consumer data to understand behavior patterns and preferences, enabling them to create highly personalized and relevant advertisements. AI-driven programmatic advertising is gaining traction, as it automates the buying process of ads and optimizes them in real-time based on performance metrics, thus ensuring higher engagement rates and better ROI.

The shift towards mobile advertising also contributes significantly to market growth. With the increasing use of smartphones and mobile applications, advertisers are focusing more on mobile platforms to reach consumers. Mobile advertising offers unique advantages such as location-based targeting and the use of interactive content, which can enhance user engagement. Additionally, the development of 5G technology is expected to further boost mobile advertising by providing faster data speeds and more reliable connections, creating new opportunities for innovative ad formats.

In the evolving landscape of advertising, Experiential Advertising Agency Services have become increasingly vital. These services focus on creating immersive and interactive experiences that engage consumers on a deeper emotional level. By leveraging experiential marketing, brands can foster stronger connections with their audience, leading to enhanced brand loyalty and advocacy. This approach allows consumers to experience a brand's message firsthand, often through events, pop-up installations, or interactive digital experiences. As the advertising market continues to grow, the demand for experiential services is likely to rise, offering unique opportunities for brands to differentiate themselves in a crowded marketplace.

Regionally, the Asia Pacific region is emerging as a significant market for advertising, driven by the expanding middle-class population, increasing urbanization, and growing internet penetration. Countries like China and India are experiencing rapid growth in digital advertising, fueled by their large populations and thriving e-commerce sectors. North America and Europe continue to be mature markets with substantial advertising spending, particularly in digital formats. The Middle East & Africa and Latin America are also witnessing growth, albeit at a slower pace, as they gradually adopt digital advertising technologies.

Type Analysis

The advertising market is segmented by type, which includes Digital Advertising, Traditional Advertising, Out-of-Home Advertising, and Others. Digital advertising has seen the most rapid growth and is expected to continue dominating the market. It encompasses various formats such as display ads, video ads, social media ads, search engine marketing, and more. The key advantage of digital advertising is its ability to target specific demographics and measure campaign performance in real-time, providing valuable insights for advertisers. This segment's growth is further fueled by increasing internet usage and the proliferation of digital content platforms.

Traditional advertising, which includes print media, television, and radio, still holds a significant share of the market. Television remains a powerful medium for reaching a broad audience, especially for brand-building campai

At VisitIQ™, we provide a wealth of consumer marketing data to help businesses unlock deeper insights and optimize their B2C strategies. Our extensive and meticulously curated datasets are designed to provide a 360-degree view of your target consumers, combining a wide range of behavioral, demographic, and psychographic data points to deliver actionable insights that drive measurable results.

Our comprehensive consumer marketing database is built to fuel data-driven marketing strategies. With our rich behavioral insights, you can understand not just who your customers are, but also how they interact with your brand, what they are looking for, and what motivates their purchasing decisions. By tracking online and offline behaviors, preferences, purchase history, and engagement patterns, VisitIQ™ enables you to segment your audience more effectively and craft personalized marketing messages that resonate with your ideal customer profiles.

In addition to behavioral insights, our datasets provide detailed demographic information, including age, gender, location, income level, education, and household characteristics. This allows you to pinpoint your marketing efforts with incredible precision, reaching the right audience with the right message at the right time. Our data also includes psychographic attributes, such as lifestyle preferences, interests, and values, providing a deeper understanding of what drives consumer behavior and helping you create more compelling and relevant content.

VisitIQ's™ platform integrates seamlessly with your existing marketing stack, enabling you to utilize our consumer marketing data across multiple channels, from digital and social media to email and direct mail. With our data, you can improve targeting, increase engagement, reduce customer acquisition costs, and ultimately achieve a higher return on your marketing investment.

Whether you’re looking to attract new customers, retain existing ones, or re-engage lapsed consumers, VisitIQ™ provides the data you need to build effective, data-driven B2C marketing strategies. Our comprehensive datasets empower you to make informed decisions, optimize your marketing campaigns in real-time, and drive successful outcomes.

Unlock the full potential of your consumer marketing efforts with VisitIQ™. Transform your approach with powerful insights, sharpen your competitive edge, and achieve unparalleled marketing success.

This dataset contains information about bank customers and their responses to marketing campaigns. The dataset includes demographic and financial characteristics of customers, such as age, job, marital status, education level, and balance in their accounts. Additionally, it includes information about their response to marketing campaigns, such as whether they subscribed to a term deposit (yes/no) and the outcome of the marketing campaign (success/failure).

The dataset aims to help understand the factors that influence a customer's decision to subscribe to a term deposit and the effectiveness of marketing campaigns. It can be used for predictive modeling, data analysis, and machine learning tasks to identify patterns and relationships between customer characteristics and marketing outcomes.

Key Features:

Demographic information (age, job, marital status, education level)

Financial information (account balance, housing loan, personal loan)

Marketing campaign information (campaign duration, number of contacts, outcome)

Response to marketing campaign (subscription to term deposit, yes/no)

Target Variable:

y (subscription to term deposit, yes/no)

Number of Instances:

5 (in the provided sample, but the actual dataset may have more instances)

Number of Attributes:

16 (including the target variable)

Knowing who your consumers are is essential for businesses, marketers, and researchers. This detailed demographic file offers an in-depth look at American consumers, packed with insights about personal details, household information, financial status, and lifestyle choices. Let's take a closer look at the data:

Personal Identifiers and Basic Demographics At the heart of this dataset are the key details that make up a consumer profile:

Unique IDs (PID, HHID) for individuals and households Full names (First, Middle, Last) and suffixes Gender and age Date of birth Complete location details (address, city, state, ZIP) These identifiers are critical for accurate marketing and form the base for deeper analysis.

Geospatial Intelligence This file goes beyond just listing addresses by including rich geospatial data like:

Latitude and longitude Census tract and block details Codes for Metropolitan Statistical Areas (MSA) and Core-Based Statistical Areas (CBSA) County size codes Geocoding accuracy This allows for precise geographic segmentation and localized marketing.

Housing and Property Data The dataset covers a lot of ground when it comes to housing, providing valuable insights for real estate professionals, lenders, and home service providers:

Homeownership status Dwelling type (single-family, multi-family, etc.) Property values (market, assessed, and appraised) Year built and square footage Room count, amenities like fireplaces or pools, and building quality This data is crucial for targeting homeowners with products and services like refinancing or home improvement offers.

Wealth and Financial Data For a deeper dive into consumer wealth, the file includes:

Estimated household income Wealth scores Credit card usage Mortgage info (loan amounts, rates, terms) Home equity estimates and investment property ownership These indicators are invaluable for financial services, luxury brands, and fundraising organizations looking to reach affluent individuals.

Lifestyle and Interests One of the most useful features of the dataset is its extensive lifestyle segmentation:

Hobbies and interests (e.g., gardening, travel, sports) Book preferences, magazine subscriptions Outdoor activities (camping, fishing, hunting) Pet ownership, tech usage, political views, and religious affiliations This data is perfect for crafting personalized marketing campaigns and developing products that align with specific consumer preferences.

Consumer Behavior and Purchase Habits The file also sheds light on how consumers behave and shop:

Online and catalog shopping preferences Gift-giving tendencies, presence of children, vehicle ownership Media consumption (TV, radio, internet) Retailers and e-commerce businesses will find this behavioral data especially useful for tailoring their outreach.

Demographic Clusters and Segmentation Pre-built segments like:

Household, neighborhood, family, and digital clusters Generational and lifestage groups make it easier to quickly target specific demographics, streamlining the process for market analysis and campaign planning.

Ethnicity and Language Preferences In today's multicultural market, knowing your audience's cultural background is key. The file includes:

Ethnicity codes and language preferences Flags for Hispanic/Spanish-speaking households This helps ensure culturally relevant and sensitive communication.

Education and Occupation Data The dataset also tracks education and career info:

Education level and occupation codes Home-based business indicators This data is essential for B2B marketers, recruitment agencies, and education-focused campaigns.

Digital and Social Media Habits With everyone online, digital behavior insights are a must:

Internet, TV, radio, and magazine usage Social media platform engagement (Facebook, Instagram, LinkedIn) Streaming subscriptions (Netflix, Hulu) This data helps marketers, app developers, and social media managers connect with their audience in the digital space.

Political and Charitable Tendencies For political campaigns or non-profits, this dataset offers:

Political affiliations and outlook Charitable donation history Volunteer activities These insights are perfect for cause-related marketing and targeted political outreach.

Neighborhood Characteristics By incorporating census data, the file provides a bigger picture of the consumer's environment:

Population density, racial composition, and age distribution Housing occupancy and ownership rates This offers important context for understanding the demographic landscape.

Predictive Consumer Indexes The dataset includes forward-looking indicators in categories like:

Fashion, automotive, and beauty products Health, home decor, pet products, sports, and travel These predictive insights help businesses anticipate consumer trends and needs.

Contact Information Finally, the file includes ke...

Dvd Rentals Market size was valued at USD 1.1 Billion in 2024 and is projected to reach USD 19 Billion by 2031, growing at a CAGR of 5% during the forecast period 2024-2031.

Global Dvd Rentals Market Drivers

The market drivers for the Dvd Rentals Market can be influenced by various factors. These may include:

Nostalgia and Collectors: - Many consumers feel nostalgic about physical media and prefer the tangible experience of DVDs over digital formats. Collectors also often seek limited editions or special releases.

Rural and Remote Areas: - In areas with poor internet infrastructure, streaming services may be less reliable or available, making DVD rentals a more feasible option for entertainment.

Special Features: - DVDs often come with exclusive content such as director’s cuts, behind-the-scenes footage, and interviews, which can appeal to movie enthusiasts.

Affordability: - Renting a DVD can be cheaper than subscribing to multiple streaming services, especially for occasional movie watchers.

No Subscription Needed: - Some consumers are hesitant to commit to yet another subscription service and prefer the pay-per-use model of DVD rentals.

Broad Selection: - DVD rental stores often carry a wide array of films, including older, rare, or foreign titles that might not be available on streaming platforms.

Physical Ownership Experience: - Some consumers enjoy the experience of physically browsing in stores, which creates a different emotional and sensory experience compared to scrolling through digital platforms.

Consumer Insurance Experience & Demographic Profile

This dataset provides a detailed view of how individuals engage with insurance products, paired with demographic and lifestyle attributes to enable powerful segmentation, behavioral analysis, and customer journey mapping. By combining real-world insurance experiences with contextual information about each respondent’s background and preferences, this dataset supports a wide range of data-driven decision-making for insurance providers, policy designers, marketing teams, and product strategists.

Value of the Dataset Understanding how consumers perceive and interact with insurance offerings is critical to building products that resonate and services that retain. This dataset offers that visibility across multiple dimensions—capturing not only what type of insurance consumers hold and how they purchased it, but also what drives their satisfaction, loyalty, and likelihood to switch. Paired with demographic details like income, education, family status, and lifestyle, this information becomes a foundation for more personalized outreach, better-designed offerings, and improved customer experiences.

Because the data reflects lived experiences across diverse markets, it is particularly valuable for benchmarking consumer sentiment in emerging economies, identifying service delivery gaps, or evaluating potential uptake of new policy formats such as digital or personalized insurance.

Example Use Cases 1. Targeted Product Design A health insurer looking to launch short-term, digital-first plans could filter this dataset for consumers with low policy tenure, high digital communication preference, and dissatisfaction with current providers. This segment would inform feature design and positioning.

1. Competitive Analysis A provider evaluating churn risk can identify patterns among users who have filed claims but report dissatisfaction—indicating operational areas that may be driving customer loss and where improvements could increase retention.

2. Communication Channel Optimization By analyzing preferred communication methods across different demographic segments, insurers can tailor outreach strategies (e.g., SMS vs. in-app chat) to improve engagement and reduce support costs.

3. Market Expansion & Localization International insurers can explore regional variations in satisfaction drivers, awareness levels, and price sensitivity to refine go-to-market strategies in countries like Senegal, Tanzania, or the UAE.

4. Personalized Policy Offer Design Using data on interest in personalized policies and lifestyle indicators, providers can build customizable offerings for consumers more likely to value flexibility, such as frequent travelers or those with irregular incomes.

Insurance-Specific Fields & Descriptions Current Insurance Type Captures the kind of insurance the individual currently holds, with a focus on health insurance in this dataset.

Purchase Method Indicates how the insurance was obtained—through an agent, online, employer, etc.—to understand acquisition channels.

Policy Length Duration of the current policy, categorized (e.g., less than 1 year, 1–3 years, more than 5 years) to analyze tenure-based behaviors.

Satisfaction Self-reported satisfaction with the current insurance provider, useful for benchmarking sentiment.

Top Factor in Choosing Provider Highlights what influenced the purchase decision most—such as coverage options, customer service, pricing, or brand reputation.

Policy Review Frequency Shows how often individuals revisit their policy details or compare with alternatives, revealing levels of engagement or passive behavior.

Filed Claim A yes/no indicator showing whether the consumer has ever filed a claim, useful for analyzing downstream service experiences.

Claim Satisfaction Measures satisfaction with how past claims were handled, providing insight into operational effectiveness.

Primary Value Sought Captures what consumers value most from their insurance—e.g., peace of mind, financial protection, access to quality care.

Likelihood to Recommend Acts as a proxy for Net Promoter Score (NPS), indicating brand advocacy and potential referral behavior.

Biggest Areas for Improvement Open-ended or multi-select responses identifying where insurers can do better—lower premiums, faster claims, more digital tools, etc.

Preferred Method of Communication Indicates how consumers want to be contacted—via online chat, phone, email, SMS—supporting channel strategy optimization.

Preferred Services Details the types of updates or services consumers want—such as claims status, policy changes, or coverage recommendations.

Insurance Awareness Score Self-reported awareness of how insurance works, including policy options, rights, and terms.

Interest in Personalized Policies Captures whether the individual is open to customized insurance plans, an important indicator for usage-ba...

This dataset provides a comprehensive overview of consumer preferences and willingness to pay for Fair Trade chocolate versus normal chocolate. The data is sourced from a survey conducted in 2023 and offers detailed insights into buying behavior, attitudes towards Fair Trade products, and demographic factors. The dataset is structured to include key metrics such as buying frequency, reasons for selecting Fair Trade or normal chocolate, important purchase criteria, willingness to pay more for Fair Trade products, and demographic information, providing a robust foundation for analyzing consumer behavior and market trends.

Key Features

• Buying Frequency: The dataset includes information on how frequently respondents buy bar chocolate, offering insights into purchase patterns.
• Reasons for Selection: Information is presented by reasons for selecting Fair Trade or normal chocolate, allowing for detailed analysis of consumer attitudes and motivations.
• Purchase Criteria: Data is segmented by important purchase criteria, such as brand, taste, country of origin, price, and sustainable behavior, providing insights into consumer priorities.
• Willingness to Pay: The dataset includes metrics on how much more respondents are willing to spend on Fair Trade chocolate, offering insights into price sensitivity and willingness to support sustainable products.
• Demographic Information: Information is categorized by gender, income, and country of origin, enabling analysis of demographic influences on consumer behavior.

Potential Uses

• Market Research: Assist in understanding consumer preferences and market trends for Fair Trade products, which is crucial for product development and marketing strategies.
• Consumer Behavior Analysis: Support consumer behavior analysis by providing detailed data on buying behavior, attitudes, and motivations.
• Policy Development: Inform policymakers in developing and adjusting policies related to Fair Trade and sustainable products.
• Strategic Planning: Provide insights into consumer behavior and market trends, informing strategic planning for businesses and policymakers.
• Academic Research: Enable academic research on consumer behavior, market trends, and the impact of Fair Trade products.

The Bank Marketing dataset is a commonly used dataset in the fairness literature, containing information about individuals' demographic and economic characteristics.

Online Will Writing Service Market Outlook

The global market size for online will writing services is projected to grow significantly from an estimated $1.2 billion in 2023 to a forecasted $3.5 billion by 2032, driven by a compound annual growth rate (CAGR) of 12.5%. This remarkable growth can be attributed to several factors, including increased digitalization, rising awareness about estate planning, and growing acceptance of online legal services.

One of the primary growth drivers for the online will writing service market is the escalating awareness about the importance of estate planning. As more people become educated about the significance of securing their assets and ensuring their wishes are honored after their demise, the demand for convenient and cost-effective will writing solutions has surged. Traditional will writing methods often involve hefty legal fees and time-consuming processes, whereas online platforms offer a more streamlined, accessible, and budget-friendly alternative. This shift in consumer preference towards digital solutions is expected to propel market growth.

Technological advancements and increased penetration of the internet are crucial factors fostering the growth of the online will writing service market. With the proliferation of smartphones and improved internet accessibility, consumers are increasingly inclined to utilize online platforms for various services, including legal advice and will writing. The convenience of drafting a will from the comfort of one's home, coupled with the ease of accessing professional legal support online, has significantly boosted the market's popularity. Additionally, the integration of advanced technologies like artificial intelligence (AI) and blockchain is expected to enhance the security and efficiency of online will writing services, further driving market expansion.

Socio-demographic factors, such as the aging population and the rise in single-person households, are also contributing to the market's growth. As the global population ages, there is a growing need for effective estate planning to manage wealth transfer and ensure the financial security of beneficiaries. Moreover, the increase in single-person households and non-traditional family structures has heightened the demand for personalized and flexible will writing services, which online platforms are well-equipped to provide. These demographic trends are anticipated to sustain the market's upward trajectory over the forecast period.

Regionally, North America is expected to dominate the online will writing service market, owing to the high level of internet penetration, advanced digital infrastructure, and widespread awareness about estate planning. Europe follows closely, driven by similar factors along with stringent legal requirements for will creation and estate management. The Asia Pacific region is projected to witness the fastest growth due to the rapid adoption of digital technologies, increasing disposable incomes, and rising awareness about the benefits of online will writing services. Latin America and the Middle East & Africa, while currently less mature markets, offer significant growth potential as digitalization efforts and legal reforms continue to progress.

Service Type Analysis

The online will writing service market can be segmented into basic will writing, comprehensive will writing, and legal advice and support. Basic will writing services typically cater to individuals with straightforward estate planning needs. These services provide a simplified and cost-effective solution for drafting a will, often through automated online platforms. The affordability and ease of use associated with basic will writing services make them particularly attractive to younger demographics and individuals with uncomplicated asset portfolios. As awareness about the necessity of having a legally binding will increases, the demand for basic will writing services is expected to rise steadily.

Comprehensive will writing services, on the other hand, offer more detailed and personalized estate planning solutions. These services are designed to address complex estate planning needs, including the management of substantial assets, business interests, and multiple beneficiaries. Comprehensive will writing services often involve consultations with legal professionals and include features such as trust creation, tax planning, and guardianship arrangements. This segment is anticipated to grow significantly as individuals with intricate estate planning requirements seek more robust and tailored solutions. Moreover, the integr

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.

Automatic Gender recognition

https://www.techgig.com/hackathon/colombiaonline

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

The Context Advertising market has emerged as a dynamic segment within the broader advertising landscape, focusing on delivering targeted messages based on the content a user engages with, rather than solely on demographic factors. This approach ensures that ads resonate more deeply with consumers, enhancing relevan

Demographic characteristics of analytic sample.

Individual poverty status using the Market Basket Measure (MBM) by family characteristics (couple, one-parent, presence of children).

About this dataset

Context

The dataset tabulates the New Market population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for New Market. The dataset can be utilized to understand the population distribution of New Market by age. For example, using this dataset, we can identify the largest age group in New Market.

Key observations

The largest age group in New Market, IN was for the group of age 70 to 74 years years with a population of 80 (14.71%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in New Market, IN was the Under 5 years years with a population of 7 (1.29%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the New Market is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of New Market total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Market Population by Age. You can refer the same here

Demographic factors of participants (n = 680).

The Toothpaste Market is predicted to increase further as people place a greater emphasis on oral health. Consumers are becoming more aware of the value of healthy teeth and gums, which has prompted them to emphasize excellent oral hygiene practices. This, together with increased disposable incomes in many places, is driving up demand for high-quality toothpaste products. The market size surpass USD 15.98 Billion valued in 2023 to reach a valuation of around USD 28.46 Billion by 2031.

Furthermore, factors such as focused marketing initiatives and an expanded product line of specialist toothpaste are helping to drive market expansion. Manufacturers are developing novel solutions that address specific demands including whitening, sensitivity, and gum health. This increased variety is drawing a larger customer base, moving the toothpaste business forward. The rising demand for cost-effective and efficient toothpaste is enabling the market grow at a CAGR of 7.48% from 2024 to 2031.

Toothpaste Market: Definition/ Overview

Toothpaste is a gel or paste that is used with a toothbrush to clean and preserve the health of your teeth. It typically contains abrasive agents, fluoride, taste, and other compounds intended to remove food particles, plaque, and bacteria from the teeth's surface. The major use of toothpaste is for oral hygiene, which promotes dental health by reducing cavities, gum disease, and bad breath. Specialized formulations address several needs, including whitening, sensitivity reduction, and tartar management, making toothpaste a vital component of daily oral care practices.

The toothpaste is expected to be shaped by developments in dental science and consumer preferences. Emerging trends include the creation of natural and environmentally friendly formulas that do not contain synthetic ingredients or plastic packaging. Customized toothpaste suited to individual needs based on genetic or lifestyle characteristics may become more prevalent. Technology improvements, such as the incorporation of smart sensors in toothbrushes that sync with toothpaste formulations, may provide real-time feedback on dental hygiene practices. Overall, toothpaste will evolve to improve efficacy, sustainability, and user experience in sustaining oral health.

Individual poverty status using Market Basket Measure (MBM) by visible minority groups, age, and gender.