100+ datasets found
  1. d

    GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business...

    • datarade.ai
    .json, .csv
    Updated Aug 13, 2024
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    GapMaps (2024). GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business Decisions | Consumer Spending Data| Demographic Data [Dataset]. https://datarade.ai/data-products/gapmaps-premium-demographic-data-by-ags-usa-canada-gis-gapmaps
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Aug 13, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    Canada, United States
    Description

    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

  2. d

    Accurate Append | Verified US Segmentation Data |...

    • datarade.ai
    .csv
    Updated Sep 10, 2024
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    Accurate Append | Verified US Segmentation Data | Demographics/Wealth/Donation History Targeting & More | High Match Rate | Batch & API Delivery [Dataset]. https://datarade.ai/data-products/accurate-append-verified-us-segmentation-data-demographic-accurate-append
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    Accurate Append
    Area covered
    United States
    Description

    At Accurate Append, we specialize in providing industry-leading US Segmentation Data solutions that empower businesses to connect with the right consumers.

    Whether you’re aiming to enhance your marketing campaigns, refine your lead generation efforts, or enrich your customer data, our comprehensive dataset enables you to target the ideal audience based on demographics, wealth insights, donation history, and much more.

    With a high match rate and flexible delivery options via batch processing or API integration, our data solutions are built to optimize your outreach, ensuring you achieve measurable results with greater precision.

    Why Choose Accurate Append for Audience Targeting? Accurate Append stands out for its quality data, innovative delivery options, and dedicated support, ensuring that businesses can achieve the highest ROI from their marketing campaigns. Our data solutions are designed to help you:

    Increase Engagement: Reach the consumers most likely to convert by targeting based on wealth, demographics, and past donation behavior. Boost Campaign Efficiency: Reduce wasted marketing efforts by ensuring your messaging reaches those with the highest potential to respond.

    Refine Customer Retargeting: Use enriched data to better understand and re-engage existing customers, increasing lifetime value and retention. Enhance Lead Generation: Generate higher-quality leads with insights into consumers’ demographics and purchasing behaviors.

    Expand Sales Opportunities: Reach new segments of your audience with detailed data that can inform upselling, cross-selling, and new product launches.

    Key Features of Our Audience Targeting Data Accurate Append’s US audience targeting dataset includes a wide range of attributes, allowing for detailed segmentation and custom targeting that aligns with your specific needs:

    Demographic Data: Including age, gender, education level, marital status, homeownership, and more, enabling you to tailor campaigns to match your desired consumer profile.

    Wealth Insights: Identify high-net-worth individuals to direct your premium offerings and luxury services toward the right audience. Data on estimated income, assets, and property values help you focus on affluent segments.

    Donation History: Target charitable givers and donors with campaigns that resonate. Understanding an individual’s donation history can help you align your messaging with their values and interests.

    Geographic Data: Access granular location data to enhance your local or regional campaigns, whether you’re targeting customers by state, city, or neighborhood.

    Psychographic Data: Leverage behavioral and lifestyle data to further segment your audience based on interests, activities, and purchase patterns.

    Flexible Delivery Options: Batch Processing and API Integration

    We understand that every business has unique workflows and requirements. That’s why Accurate Append offers two flexible delivery methods to ensure seamless integration with your existing systems:

    Batch Data Delivery: Ideal for businesses needing large-scale data appending or updating. Send us your file, and we’ll return it enriched with the latest audience targeting data.

    Real-Time API Access: For those looking for instant data, our API allows you to connect directly with Accurate Append’s database. This is perfect for applications requiring real-time updates, CRM integration, or instant lead qualification.

    Use Cases of Audience Targeting Data Accurate Append’s data solutions can be applied across a variety of use cases, enhancing the performance of your marketing efforts and business strategies:

    Email Marketing Campaigns: Improve open rates and engagement by sending targeted emails to recipients based on their wealth, demographics, and donation history.

    Telemarketing: Enhance the effectiveness of your outbound calling campaigns by focusing on high-quality leads, increasing the likelihood of conversions.

    Customer Data Enrichment: Augment your existing CRM records with additional demographic, wealth, and behavioral data to create more complete customer profiles.

    Lead Generation: Generate new leads by identifying key audience segments most likely to respond to your offers. Whether you’re selling products or services, our data can help you find the right buyers.

    Customer Retargeting: Re-engage past customers or those who have shown interest in your brand. By using enriched data, you can tailor your messaging to their specific interests, driving repeat business.

    Accurate Append’s audience targeting data is your key to reaching the right consumers and driving successful marketing campaigns. Whether you’re targeting high-net-worth individuals, seeking to enhance your CRM data, or running telemarketing and email campaigns, our robust dataset and flexible delivery options will ensure you get the most out of your marketing efforts.

    For businesses looking to achieve accurate data and amazin...

  3. Personalization data companies use for customer profiling 2023

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Personalization data companies use for customer profiling 2023 [Dataset]. https://www.statista.com/statistics/1426127/customer-profiling-data-demands/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    During a 2023 survey among senior marketing executives worldwide, 86 percent of respondents listed demographics as the most important type of data used for customer profiling. Behavioral data came next, with 49 percent, while data about business details rounded up the top three with 44 percent.

  4. d

    Wave 61, September 2014

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
    + more versions
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    Ipsos (2023). Wave 61, September 2014 [Dataset]. http://doi.org/10.5683/SP2/X7CRJQ
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Ipsos
    Time period covered
    Sep 1, 2014
    Description

    Ipsos Global @dvisor wave 62 was conducted on September 2 and September 16, 2014. It included the following question sections: [add section letter and name, e.g., A: Demographic Profile, B: Consumer Confidence, R: Small Business/Executive Decision Makers Demo, JS: Taking Surveys.

  5. d

    Demographic Data | Asia & MENA | Make Informed Business Decisions with High...

    • datarade.ai
    .json, .csv
    Updated Jun 25, 2024
    + more versions
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    GapMaps (2024). Demographic Data | Asia & MENA | Make Informed Business Decisions with High Quality and Granular Insights | GIS Data | Map Data [Dataset]. https://datarade.ai/data-products/gapmaps-premium-demographics-data-asia-mena-accurate-and-gapmaps
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Jun 25, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    India, Saudi Arabia, Indonesia, Malaysia, Singapore, Philippines
    Description

    Sourcing accurate and up-to-date demographic data across Asia and MENA has historically been difficult for retail brands looking to expand their store networks in these regions. Either the data does not exist or it isn't readily accessible or updated regularly.

    GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic datasets across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities.

    With this information, brands can get a detailed understanding of who lives in a catchment, where they work and their spending potential which allows you to:

    • Better understand your customers
    • Identify optimal locations to expand your retail footprint
    • Define sales territories for franchisees
    • Run targeted marketing campaigns.

    Premium demographics data for Asia and MENA includes the latest estimates (updated annually) on:

    1. Population (how many people live in your local catchment)
    2. Demographics (who lives within your local catchment)
    3. Worker population (how many people work within your local catchment)
    4. Consuming Class and Premium Consuming Class (who can can afford to buy goods & services beyond their basic needs and /or shop at premium retailers)
    5. Retail Spending (Food & Beverage, Grocery, Apparel, Other). How much are consumers spending on retail goods and services by category.

    Primary Use Cases for GapMaps Demographic Data:

    1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
    2. Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential
    3. Analyse your trade areas at a granular 150m x 150m grid levels 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 GapMaps demographic data with your existing GIS or BI platform to generate powerful visualizations.

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

    8. Tenant Recruitment

    9. Target Marketing

    10. Market Potential / Gap Analysis

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

    12. Customer Profiling

    13. Target Marketing

    14. Market Share Analysis

  6. d

    QuoteWay Canada | Canadian Demographic Data | 1.3M Records: Age, Gender,...

    • datarade.ai
    .csv, .xls
    Updated Jul 2, 2023
    + more versions
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    QuoteWay (2023). QuoteWay Canada | Canadian Demographic Data | 1.3M Records: Age, Gender, Address, Identity Data | Comprehensive Audience Targeting & Advertising Data [Dataset]. https://datarade.ai/data-products/quoteway-canada-canadian-demographic-data-1-3m-records-a-quoteway
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Jul 2, 2023
    Dataset authored and provided by
    QuoteWay
    Area covered
    Canada
    Description

    QuoteWay Canada provides extensive Demographic Data, ideal for businesses seeking detailed audience targeting. Our Demographic Data encompasses approximately 1.3M records, specifically collected for life insurance purposes and currently resting for about 3 months without contact. This Demographic Data includes age, gender, address, and identity data, ensuring a comprehensive view of the Canadian audience.

    Use Cases of Demographic Data: - Targeted Marketing Campaigns: Utilize our Demographic Data to launch highly targeted marketing campaigns with precise audience segmentation. - Customer Profiling: Create detailed customer profiles using our rich Demographic Data. - Market Research: Conduct thorough market research with reliable Demographic Data for accurate consumer insights. - Product Development: Use Demographic Data to inform product development based on the characteristics and identity of your target audience. - Geographic Analysis: Perform geographic analysis with 96% valid postal codes from our Demographic Data. - Email Campaigns: Boost email marketing success rates with 98% valid emails from our Demographic Data. - Telemarketing: Improve telemarketing outcomes using 70% valid phone numbers in our Demographic Data.

    Key Benefits of Demographic Data: - High Accuracy: Our Demographic Data is verified with 96% valid postal codes, 98% valid emails, and 70% valid phone numbers. - Comprehensive Dataset: Access a large dataset of approximately 1.3M records, including detailed demographic information and identity data. - Fresh Data: The Demographic Data has been resting for about 3 months, ensuring it is not overused. - Versatile Use: Suitable for various applications such as marketing, research, advertising and product development. - Compliance Ready: Our Demographic Data is ready to use under QuoteWay Canada Inc., ensuring compliance and ease of use. - Life Insurance Focused: The data was initially collected for life insurance purposes, providing a unique consumer segment. - Reliable Source: QuoteWay's commitment to quality ensures that our Demographic Data is reliable and effective, using our Advertising Data.

    By leveraging QuoteWay Canada's Demographic and Identity Data, businesses can achieve greater accuracy and success in their consumer outreach efforts. The comprehensive and verified nature of our Demographic Data makes it an invaluable resource for any organization looking to enhance its audience targeting strategies.

  7. d

    Demographic Profiles of ACS 5 Year Estimates at the Public Use Microdata...

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Nov 10, 2020
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    data.cityofnewyork.us (2020). Demographic Profiles of ACS 5 Year Estimates at the Public Use Microdata Areas (PUMA) Level [Dataset]. https://catalog.data.gov/dataset/demographic-profiles-of-acs-5-year-estimates-at-the-public-use-microdata-areas-puma-level
    Explore at:
    Dataset updated
    Nov 10, 2020
    Dataset provided by
    data.cityofnewyork.us
    Description

    Four tables of ACS demographic profiles for 2012 to 2016 at the PUMA level. Four profiles include demographics, economic, housing and sociological. Column headers in this database are abbreviated. Please see the data dictionary (shown in worksheet entitled “Dictionary”) for an explanation of these abbreviated headers.

  8. d

    Wave 48, August 2013

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Ipsos (2023). Wave 48, August 2013 [Dataset]. http://doi.org/10.5683/SP2/LT3YH6
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Ipsos
    Time period covered
    Aug 1, 2013
    Description

    Ipsos Global @dvisor wave 43 was conducted on August 8 and 20, 2013. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, R: Small Business/Executive Decision Makers Demo, EU: Healthcare Study, HA: Socialogue.

  9. d

    Wave 51, November 2013

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Ipsos (2023). Wave 51, November 2013 [Dataset]. https://search.dataone.org/view/sha256%3A380eee1ec8c9424f7fe3d3bcdbb886f1901d3b530404827ddd5dbd3d7cc1743a
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Ipsos
    Time period covered
    Nov 1, 2013
    Description

    Ipsos Global @dvisor wave 51 was conducted on November 5 and November 19, 2013. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, R: Small Business/Executive Decision Makers Demo, IC: Socialogue.

  10. d

    Demographic, Social, Economic, and Housing Profiles by Community...

    • catalog.data.gov
    • data.cityofnewyork.us
    • +2more
    Updated Nov 1, 2024
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    data.cityofnewyork.us (2024). Demographic, Social, Economic, and Housing Profiles by Community District/PUMA [Dataset]. https://catalog.data.gov/dataset/demographic-social-economic-and-housing-profiles-by-community-district-puma
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    Dataset updated
    Nov 1, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    Selected demographic, social, economic, and housing estimates data by community district/PUMA (Public Use Micro Data Sample Area). Three year estimates of population data from the Census Bureau's American Community Survey

  11. d

    Wave 40, December 2012

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Ipsos (2023). Wave 40, December 2012 [Dataset]. https://search.dataone.org/view/sha256%3A8b5327c3096a49a4e46bf23a7e4c3b581604a35ba464e6b5911e0d5a893ee4b2
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Ipsos
    Time period covered
    Dec 4, 2012
    Description

    Ipsos Global @dvisor wave 40 was conducted on December 4 and December 18, 2012. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, R: Small Business/Executive Decision Makers Demo, GG: Sociologue, E: Risk for Industrial Sectors, BD: Retail Confidence, GI: Career Satisfaction, GJ: Global Warming.

  12. c

    Demographic Profiles

    • data.clevelandohio.gov
    • hub.arcgis.com
    Updated Aug 21, 2023
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    Cleveland | GIS (2023). Demographic Profiles [Dataset]. https://data.clevelandohio.gov/maps/89c639f534684dbaab9218d2227580ba
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    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    TO VIEW AND DOWNLOAD THE ACTUAL DATA, CLICK ON ONE OF THE LAYERS BELOWPolygon layer containing American Community Survey (ACS) 5-Year Estimate data for the most recent vintage. 5 year estimates are a rolling average of data from the past five years. The current vintage is for 2018-2022. Data is filtered for Cuyahoga County, OH, and additional calculations are performed to determine the city each census tract lies within. Therefore, this dataset is filterable for the city of Cleveland and its surrounding suburbs. To learn more about each of these datasets, click on one of datasets under "Layers". This dataset powers the City Census Viewer.This dataset is ported from the ArcGIS Living Atlas.Data GlossaryClick here, then click on "Fields" to view documentation. Use the "Layers" drop down to view documentation for different tables.Update FrequencyThis dataset is updated annually in December when the new ACS vintage is released.ContactsSamuel Martinez, Urban Analytics and Innovationsmartinez2@clevelandohio.gov

  13. d

    Wave 26, October 2011

    • search.dataone.org
    • borealisdata.ca
    • +1more
    Updated Dec 28, 2023
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    Ipsos (2023). Wave 26, October 2011 [Dataset]. http://doi.org/10.5683/SP2/7HWOID
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Ipsos
    Time period covered
    Oct 1, 2011
    Description

    Ipsos Global @dvisor wave 26 was conducted on October 7 and October 20, 2011. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, R: Reuters Battery, DH: World Affairs, DK: Telecommuting.

  14. d

    Wave 47, July 2013

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Ipsos (2023). Wave 47, July 2013 [Dataset]. https://search.dataone.org/view/sha256%3A6860fe2db022a40bd8f063f66a7fefef74b28c1d9b2d0c982ee2e0b98ee6f80b
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Ipsos
    Time period covered
    Jul 1, 2013
    Description

    Ipsos Global @dvisor wave 47 was conducted on July 2 and July 16, 2013. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, R: Small Business/Executive Decision Makers Demo, HN: Socialogue, HO: Brazil Protests.

  15. d

    Wave 65, January 2015

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Ipsos (2023). Wave 65, January 2015 [Dataset]. https://search.dataone.org/view/sha256%3A6d02dd5c79eb1aa3c3ae6ca8e6a09d964d3eafaa0351cc027e8ab2cc1eb410c3
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Ipsos
    Time period covered
    Jan 1, 2015
    Description

    Ipsos Global @dvisor wave 65 was conducted from January 6-January 20, 2018. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, R: Small Business/Executive Decision Makers Demo; E: Risk for Industrial Sectors.

  16. d

    Demographic Profile of Family PACT Clients Served by Fiscal Year

    • catalog.data.gov
    • data.chhs.ca.gov
    • +2more
    Updated Nov 27, 2024
    + more versions
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    California Department of Health Care Services (2024). Demographic Profile of Family PACT Clients Served by Fiscal Year [Dataset]. https://catalog.data.gov/dataset/demographic-profile-of-family-pact-clients-served-by-fiscal-year-de0fb
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Health Care Services
    Description

    This data file includes demographics of clients served by the Family Planning, Access, Care, and Treatment (Family PACT) Program from July 1, 2003, through the current FY of available data. Parity is defined as the number of live births reported at the time of enrollment or recertification for the Family PACT Program. Clients are recertified annually and are considered served only if they had a paid claim. Age, race/ethnicity, language, and parity variables were self-reported by clients at time of enrollment and recertification. Reimbursement amounts are rounded to the nearest million.

  17. d

    Demographic Profile of ACS 1 Year Estimates at the New York City and Borough...

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Nov 10, 2020
    + more versions
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    data.cityofnewyork.us (2020). Demographic Profile of ACS 1 Year Estimates at the New York City and Borough level [Dataset]. https://catalog.data.gov/dataset/demographic-profile-of-acs-1-year-estimates-at-the-new-york-city-and-borough-level
    Explore at:
    Dataset updated
    Nov 10, 2020
    Dataset provided by
    data.cityofnewyork.us
    Area covered
    New York
    Description

    Four tables of ACS demographic profiles for 2016 at the New York City and Borough level

  18. d

    Wave 11, July 2010

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Ipsos (2023). Wave 11, July 2010 [Dataset]. http://doi.org/10.5683/SP2/N5ZA4W
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Ipsos
    Time period covered
    Jul 1, 2010
    Description

    Ipsos Global @dvisor wave 11 was conducted on July 6 and July 20, 2010. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, R: Reuters Battery, G: Country Image Rating, H: Economy/Spending/Purchasing

  19. Carter's brand profile in the United States 2022

    • statista.com
    Updated May 25, 2023
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    Statista (2023). Carter's brand profile in the United States 2022 [Dataset]. https://www.statista.com/forecasts/1252017/carter-s-toys-and-baby-online-shops-brand-profile-in-the-united-states
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    Dataset updated
    May 25, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 15, 2022 - Jun 23, 2022
    Area covered
    United States
    Description

    How high is the brand awareness of Carter's in the United States?When it comes to toys and baby online shop users, brand awareness of Carter's is at 68% in the United States. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Carter's in the United States?In total, 35% of U.S. toys and baby online shop users say they like Carter's. However, in actuality, among the 68% of U.S. respondents who know Carter's, 51% of people like the brand.What is the usage share of Carter's in the United States?All in all, 25% of toys and baby online shop users in the United States use Carter's. That means, of the 68% who know the brand, 37% use them.How loyal are the customers of Carter's?Around 19% of toys and baby online shop users in the United States say they are likely to use Carter's again. Set in relation to the 25% usage share of the brand, this means that 76% of their customers show loyalty to the brand.What's the buzz around Carter's in the United States?In June 2022, about 19% of U.S. toys and baby online shop users had heard about Carter's in the media, on social media, or in advertising over the past three months. Of the 68% who know the brand, that's 28%, meaning at the time of the survey there's some buzz around Carter's in the United States.If you want to compare brands, do deep-dives by survey items of your choice, filter by total online population or users of a certain brand, or drill down on your very own hand-tailored target groups, our Consumer Insights Brand KPI survey has you covered.

  20. Demographic profile of Taylor Swift fans in the U.S. 2023, by generation

    • statista.com
    Updated Nov 22, 2024
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    Demographic profile of Taylor Swift fans in the U.S. 2023, by generation [Dataset]. https://www.statista.com/statistics/1372971/taylor-swift-fans-by-generation/
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    Dataset updated
    Nov 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 3, 2023 - Mar 5, 2023
    Area covered
    United States
    Description

    According to a survey from March 2023 among U.S. Taylor Swift fans, also called 'Swifties', the largest share of Swift fans were in the group of millenials. The second largest share was within the group of baby boomers, followed by Gen X. In 2023, Swift announced her first tour in years, called 'Era', which already caused chaos when her significant fan base tried to purchase tickets for the long anticipated concerts.

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GapMaps (2024). GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business Decisions | Consumer Spending Data| Demographic Data [Dataset]. https://datarade.ai/data-products/gapmaps-premium-demographic-data-by-ags-usa-canada-gis-gapmaps

GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business Decisions | Consumer Spending Data| Demographic Data

Explore at:
.json, .csvAvailable download formats
Dataset updated
Aug 13, 2024
Dataset authored and provided by
GapMaps
Area covered
Canada, United States
Description

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

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