100+ datasets found
  1. d

    Factori USA Consumer Graph Data | socio-demographic, location, interest and...

    • datarade.ai
    .json, .csv
    Updated Jul 23, 2022
    + more versions
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    Factori (2022). Factori USA Consumer Graph Data | socio-demographic, location, interest and intent data | E-Commere |Mobile Apps | Online Services [Dataset]. https://datarade.ai/data-products/factori-usa-consumer-graph-data-socio-demographic-location-factori
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Jul 23, 2022
    Dataset authored and provided by
    Factori
    Area covered
    United States of America
    Description

    Our consumer data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

    Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.

    1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc.
    2. Demographics - Gender, Age Group, Marital Status, Language etc.
    3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc
    4. Persona - Consumer type, Communication preferences, Family type, etc
    5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc.
    6. Household - Number of Children, Number of Adults, IP Address, etc.
    7. Behaviours - Brand Affinity, App Usage, Web Browsing etc.
    8. Firmographics - Industry, Company, Occupation, Revenue, etc
    9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc.
    10. Auto - Car Make, Model, Type, Year, etc.
    11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

    Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

    Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

    Consumer Graph Use Cases:

    360-Degree Customer View:Get a comprehensive image of customers by the means of internal and external data aggregation.

    Data Enrichment:Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment

    Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.

    Advertising & Marketing:Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

    Using Factori Consumer Data graph you can solve use cases like:

    Acquisition Marketing Expand your reach to new users and customers using lookalike modeling with your first party audiences to extend to other potential consumers with similar traits and attributes.

    Lookalike Modeling

    Build lookalike audience segments using your first party audiences as a seed to extend your reach for running marketing campaigns to acquire new users or customers

    And also, CRM Data Enrichment, Consumer Data Enrichment B2B Data Enrichment B2C Data Enrichment Customer Acquisition Audience Segmentation 360-Degree Customer View Consumer Profiling Consumer Behaviour Data

  2. MIRA-KG: A Knowledge Graph of Hypotheses and Findings for Social Demography...

    • zenodo.org
    • data.niaid.nih.gov
    bin
    Updated May 26, 2024
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    Lise Stork; Lise Stork; Richard Zijdeman; Richard Zijdeman (2024). MIRA-KG: A Knowledge Graph of Hypotheses and Findings for Social Demography Research [Dataset]. http://doi.org/10.5281/zenodo.10286846
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    binAvailable download formats
    Dataset updated
    May 26, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Lise Stork; Lise Stork; Richard Zijdeman; Richard Zijdeman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 10, 2023
    Description

    A shift in scientific publishing from paper-based to knowledge-based practices promotes reproducibility, machine actionability and knowledge discovery. This is important for disciplines like social science, as study indicators are often social constructs such as race or education; hypothesis tests are challenging to compare in demographic research due to their limited temporal and spatial coverage; and natural language in research papers is often imprecise and ambiguous. Therefore, we present the MIRA-KG, consisting of: (1) an ontology for capturing social demography research, which links hypotheses and findings to evidence, (2) annotations of papers on health inequality in terms of the ontology, gathered by (i) prompting a Large Language Model to annotate paper abstracts using the ontology, (ii) mapping concepts to terms from NCBO BioPortal ontologies and GeoNames, and (iii) refining the final graph by a set of SHACL constraints, developed according to data quality criteria. The utility of the resource lies in its use for formally representing social demography research hypotheses, discovering research biases, discovery of knowledge, and the derivation of novel questions.

    This dataset was generated using the code available on Github at https://w3id.org/mira/ at version v1.0. It uses the following ontology: https://w3id.org/mira/ontology/. A dump of the requirement stories and other resources used to generate the resource can be found on the drive: https://drive.google.com/drive/folders/1QKAOVV0TXfF4vYQ7b5dkHkXQjBqnh75W?usp=sharing.

  3. Global population 1800-2100, by continent

    • statista.com
    • ai-chatbox.pro
    Updated Jul 4, 2024
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    Statista (2024). Global population 1800-2100, by continent [Dataset]. https://www.statista.com/statistics/997040/world-population-by-continent-1950-2020/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The world's population first reached one billion people in 1803, and reach eight billion in 2023, and will peak at almost 11 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two thirds of the world's population live in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a decade later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.

  4. T

    United States Population

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). United States Population [Dataset]. https://tradingeconomics.com/united-states/population
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    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1900 - Dec 31, 2024
    Area covered
    United States
    Description

    The total population in the United States was estimated at 341.2 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - United States Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. T

    Brazil Population

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). Brazil Population [Dataset]. https://tradingeconomics.com/brazil/population
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    json, csv, xml, excelAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    Brazil
    Description

    The total population in Brazil was estimated at 212.6 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Brazil Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. Population of the world 10,000BCE-2100

    • statista.com
    Updated Aug 7, 2024
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    Statista (2024). Population of the world 10,000BCE-2100 [Dataset]. https://www.statista.com/statistics/1006502/global-population-ten-thousand-bc-to-2050/
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    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    Until the 1800s, population growth was incredibly slow on a global level. The global population was estimated to have been around 188 million people in the year 1CE, and did not reach one billion until around 1803. However, since the 1800s, a phenomenon known as the demographic transition has seen population growth skyrocket, reaching eight billion people in 2023, and this is expected to peak at over 10 billion in the 2080s.

  7. e

    Total Demographic Data of Zaragoza

    • data.europa.eu
    unknown
    Updated Sep 29, 2024
    + more versions
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    Ayuntamiento de Zaragoza (2024). Total Demographic Data of Zaragoza [Dataset]. https://data.europa.eu/data/datasets/https-www-zaragoza-es-sede-portal-datos-abiertos-servicio-catalogo-302?locale=en
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Sep 29, 2024
    Dataset authored and provided by
    Ayuntamiento de Zaragoza
    License

    https://www.zaragoza.es/sede/portal/aviso-legal#condicioneshttps://www.zaragoza.es/sede/portal/aviso-legal#condiciones

    Area covered
    Zaragoza
    Description

    Set of graphs, tables or maps with demographic data on the population of the city of Zaragoza, gathered by the Statistical Observatory. http://www.zaragoza.es/ciudad/risp/demografia.htmÍndice content (complete): Municipal Register: Characteristics of the population Demographic Indicators Official Data Characteristics of the population Natural Population Movement Migrations Demographic Indicators Aid: To access the data set, you need to click on the Demographic and Population tag in the drop-down menu. There you can access the set of tables that are organised thematically. Click on the tag of the theme on which you want to extract the statistical data, select the desired table(s), clicking on the square to the left of the title of each table and clicking on the tab called: Table/Map/Graph to display or generate charts, tables and maps. http://demografia.zaragoza.es/ayuda.aspx?id_idioma=1Más information about the tool Developer Tools: You can export graphs in different formats and generate Json from the tab tables/maps in those indicators that have information together

  8. F

    Population Growth for Brazil

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
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    (2025). Population Growth for Brazil [Dataset]. https://fred.stlouisfed.org/series/SPPOPGROWBRA
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    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Brazil
    Description

    Graph and download economic data for Population Growth for Brazil (SPPOPGROWBRA) from 1961 to 2024 about Brazil, population, and rate.

  9. F

    Population Growth for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
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    (2025). Population Growth for the United States [Dataset]. https://fred.stlouisfed.org/series/SPPOPGROWUSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Population Growth for the United States (SPPOPGROWUSA) from 1961 to 2024 about population, rate, and USA.

  10. F

    Population Level - Hispanic or Latino

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). Population Level - Hispanic or Latino [Dataset]. https://fred.stlouisfed.org/series/LNU00000009
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Population Level - Hispanic or Latino (LNU00000009) from Mar 1973 to Jun 2025 about civilian, latino, hispanic, population, and USA.

  11. F

    Population Growth for Low Income Countries

    • fred.stlouisfed.org
    json
    Updated Dec 17, 2024
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    (2024). Population Growth for Low Income Countries [Dataset]. https://fred.stlouisfed.org/series/SPPOPGROWLIC
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    jsonAvailable download formats
    Dataset updated
    Dec 17, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Population Growth for Low Income Countries (SPPOPGROWLIC) from 1961 to 2023 about income, population, and rate.

  12. F

    Population Ages 15 to 64 for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
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    (2025). Population Ages 15 to 64 for the United States [Dataset]. https://fred.stlouisfed.org/series/SPPOP1564TOZSUSA
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    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Population Ages 15 to 64 for the United States (SPPOP1564TOZSUSA) from 1960 to 2024 about 15 to 64 years, population, and USA.

  13. F

    Infra-Annual Labor Statistics: Working-Age Population Total: From 25 to 54...

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
    + more versions
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    Infra-Annual Labor Statistics: Working-Age Population Total: From 25 to 54 Years for United States [Dataset]. https://fred.stlouisfed.org/series/LFWA25TTUSM647N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Total: From 25 to 54 Years for United States (LFWA25TTUSM647N) from Jan 1955 to May 2025 about 25 to 54 years, working-age, population, and USA.

  14. F

    Resident Population in Richmond city, VA

    • fred.stlouisfed.org
    json
    Updated Mar 14, 2025
    + more versions
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    (2025). Resident Population in Richmond city, VA [Dataset]. https://fred.stlouisfed.org/series/VARICH0POP
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    jsonAvailable download formats
    Dataset updated
    Mar 14, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Richmond, Virginia
    Description

    Graph and download economic data for Resident Population in Richmond city, VA (VARICH0POP) from 1970 to 2024 about Richmond City, VA; Richmond; VA; residents; population; and USA.

  15. f

    Population Dynamics of Arctic Alaska A graphical library of demographic...

    • figshare.com
    pdf
    Updated Jan 19, 2016
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    Lawrence Hamilton; Richard Lammers; Stanley Glidden; Kei Saito; Sustainable Futures North (2016). Population Dynamics of Arctic Alaska A graphical library of demographic change in 43 towns and villages, 1990–2013 [Dataset]. http://doi.org/10.6084/m9.figshare.1044226.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 19, 2016
    Dataset provided by
    figshare
    Authors
    Lawrence Hamilton; Richard Lammers; Stanley Glidden; Kei Saito; Sustainable Futures North
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Alaska, Arctic Alaska
    Description

    Provides data visualizations for demographic change over the last 25 years in 43 Alaska villages

  16. F

    Population Growth for China

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
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    (2025). Population Growth for China [Dataset]. https://fred.stlouisfed.org/series/SPPOPGROWCHN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    China
    Description

    Graph and download economic data for Population Growth for China (SPPOPGROWCHN) from 1961 to 2024 about China, population, and rate.

  17. T

    Data from: Vietnam Population

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 10, 2012
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    TRADING ECONOMICS (2012). Vietnam Population [Dataset]. https://tradingeconomics.com/vietnam/population
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Oct 10, 2012
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    Vietnam
    Description

    The total population in Vietnam was estimated at 101.3 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Vietnam Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. T

    Finland Population

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Finland Population [Dataset]. https://tradingeconomics.com/finland/population
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    Finland
    Description

    The total population in Finland was estimated at 5.6 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Finland Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  19. T

    Ivory Coast Population

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 1, 2012
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    TRADING ECONOMICS (2012). Ivory Coast Population [Dataset]. https://tradingeconomics.com/ivory-coast/population
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Dec 1, 2012
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    Côte d'Ivoire
    Description

    The total population in Ivory Coast was estimated at 31.9 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Ivory Coast Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. a

    Graphical library of population dynamics in 104 towns and villages of...

    • arcticdata.io
    Updated Apr 15, 2024
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    Lawrence Hamilton (2024). Graphical library of population dynamics in 104 towns and villages of Arctic/Subarctic Alaska, 1990-2022. [Dataset]. http://doi.org/10.18739/A25H7BW29
    Explore at:
    Dataset updated
    Apr 15, 2024
    Dataset provided by
    Arctic Data Center
    Authors
    Lawrence Hamilton
    Time period covered
    Jan 1, 1990 - Jan 1, 2022
    Area covered
    Description

    These files contain individual graphs tracking population dynamics in 104 individual Arctic/Subarctic Alaska communities, over the years from 1990 to 2022. The numerical data underlying these graphs have been archived separately with the Arctic Data Center: Hamilton, L.C. 2023. “Annual population, natural increase and net migration for rural Alaska communities 1990–2022.” Dataset archived with the NSF Arctic Data Center. https://arcticdata.io/catalog/view/doi:10.18739/A28K74Z2B The purpose of this "graphical library" is to provide visualizations of 1990-2022 population change for each town or village in a format that is simple to download, share, and apply to other purposes such as planning, proposals or case studies. The files (identical pdf and PowerPoint versions) include a brief rationale, illustration of the numerical database organization, description of sources, citations and links to published articles, and explanation of the graphical style. These notes are followed by 104 individual graphs, one per slide, organized by boroughs or census areas.

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Factori (2022). Factori USA Consumer Graph Data | socio-demographic, location, interest and intent data | E-Commere |Mobile Apps | Online Services [Dataset]. https://datarade.ai/data-products/factori-usa-consumer-graph-data-socio-demographic-location-factori

Factori USA Consumer Graph Data | socio-demographic, location, interest and intent data | E-Commere |Mobile Apps | Online Services

Explore at:
.json, .csvAvailable download formats
Dataset updated
Jul 23, 2022
Dataset authored and provided by
Factori
Area covered
United States of America
Description

Our consumer data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.

  1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc.
  2. Demographics - Gender, Age Group, Marital Status, Language etc.
  3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc
  4. Persona - Consumer type, Communication preferences, Family type, etc
  5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc.
  6. Household - Number of Children, Number of Adults, IP Address, etc.
  7. Behaviours - Brand Affinity, App Usage, Web Browsing etc.
  8. Firmographics - Industry, Company, Occupation, Revenue, etc
  9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc.
  10. Auto - Car Make, Model, Type, Year, etc.
  11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

Consumer Graph Use Cases:

360-Degree Customer View:Get a comprehensive image of customers by the means of internal and external data aggregation.

Data Enrichment:Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment

Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.

Advertising & Marketing:Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

Using Factori Consumer Data graph you can solve use cases like:

Acquisition Marketing Expand your reach to new users and customers using lookalike modeling with your first party audiences to extend to other potential consumers with similar traits and attributes.

Lookalike Modeling

Build lookalike audience segments using your first party audiences as a seed to extend your reach for running marketing campaigns to acquire new users or customers

And also, CRM Data Enrichment, Consumer Data Enrichment B2B Data Enrichment B2C Data Enrichment Customer Acquisition Audience Segmentation 360-Degree Customer View Consumer Profiling Consumer Behaviour Data

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