With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.
Basic, Household and Financial, Lifestyle and Interests, Political and Donor.
Here is a list of what sorts of attributes are available for each output type listed above:
Basic:
- Senior in Household
- Young Adult in Household
- Small Office or Home Office
- Online Purchasing Indicator
- Language
- Marital Status
- Working Woman in Household
- Single Parent
- Online Education
- Occupation
- Gender
- DOB (MM/YY)
- Age Range
- Religion
- Ethnic Group
- Presence of Children
- Education Level
- Number of Children
Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool
Lifestyle and Interests:
- Mail Order Buyer
- Pets
- Magazines
- Reading
- Current Affairs and Politics
- Dieting and Weight Loss
- Travel
- Music
- Consumer Electronics
- Arts
- Antiques
- Home Improvement
- Gardening
- Cooking
- Exercise
- Sports
- Outdoors
- Womens Apparel
- Mens Apparel
- Investing
- Health and Beauty
- Decorating and Furnishing
Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation
Key Features: • Enriches CRM and first-party data with verified demographic attributes • Supports both hashed and unhashed email formats • Privacy-compliant and sourced from permission-based datasets • Coverage available across key APAC markets
Use Cases: • Enhance customer profiles with age, gender, and lifestyle indicators • Build detailed personas for refined audience segmentation • Power personalization engines with enriched user data • Boost acquisition and retention strategies with smarter targeting
Key Attributes Available (varies by region): • Age • Gender • Location (City, State, Country) • Household Composition • Income Bracket • Interests & Lifestyle Indicators
Data Format: Hashed (SHA-256) & Unhashed Emails
Data Delivery: SFTP
Perfect For: • CRM Managers • Data & Analytics Teams • Marketing Automation • Ad Tech / Martech Providers • Media Agencies
With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.
Basic, Household and Financial, Lifestyle and Interests, Political and Donor.
Here is a list of what sorts of attributes are available for each output type listed above:
Basic:
- Senior in Household
- Young Adult in Household
- Small Office or Home Office
- Online Purchasing Indicator
- Language
- Marital Status
- Working Woman in Household
- Single Parent
- Online Education
- Occupation
- Gender
- DOB (MM/YY)
- Age Range
- Religion
- Ethnic Group
- Presence of Children
- Education Level
- Number of Children
Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool
Lifestyle and Interests:
- Mail Order Buyer
- Pets
- Magazines
- Reading
- Current Affairs and Politics
- Dieting and Weight Loss
- Travel
- Music
- Consumer Electronics
- Arts
- Antiques
- Home Improvement
- Gardening
- Cooking
- Exercise
- Sports
- Outdoors
- Womens Apparel
- Mens Apparel
- Investing
- Health and Beauty
- Decorating and Furnishing
Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Last Update: 02/2021This datasets was was downloaded from the 2020 Census Redistricting Data (P.L. 94-171) page. All 2020 census boundaries are current to January 1, 2020. The Census Bureau will release the first set of corresponding demographic data in September 2021 (the 2020 Census Redistricting P.L. 94-171 Summary Files). Following that release, AGRC will append the demographic data to the existing 2020 geographies served on this page.Visit the SGID 2020 Census data page for more information.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Last Update: 02/2021This datasets was was downloaded from the 2020 Census Redistricting Data (P.L. 94-171) page. All 2020 census boundaries are current to January 1, 2020. The Census Bureau will release the first set of corresponding demographic data in September 2021 (the 2020 Census Redistricting P.L. 94-171 Summary Files). Following that release, AGRC will append the demographic data to the existing 2020 geographies served on this page.Visit the SGID 2020 Census data page for more information.
Contact Append / Contact Append Plus: Append consumer emails that have been validated for deliverability (~90% to 95% accuracy). Append phone numbers that have been labeled as the best number to reach someone at (Landlines, VOIP, and Mobile phones included as a default) Append address information for mailing and geo segmentation purposes
Demographic Append: Add consumer demographic data to your list of customers or prospects.
List Generation: Create a list of consumer targets from scratch by using demographic, geolocation, and financial data
Online Audience: B2C social media and programmatic display marketing - Increase match rates by 30% to 300%
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Last Update: 02/2021This datasets was was downloaded from the 2020 Census Redistricting Data (P.L. 94-171) page. All 2020 census boundaries are current to January 1, 2020. The Census Bureau will release the first set of corresponding demographic data in September 2021 (the 2020 Census Redistricting P.L. 94-171 Summary Files). Following that release, AGRC will append the demographic data to the existing 2020 geographies served on this page.In Utah, “places” include cities, towns, metro townships, and census-designated places (CDPs). The first three are legal boundaries in Utah, representing incorporated places that provide governmental functions for a concentration of people. CDPs are statistical boundaries delineated by the Census Bureau. They provide data for recognizable places that are not legally incorporated.Visit the SGID 2020 Census data pagefor more information.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This file can be used as a tool to append geographic codes to geocoded point data. The file was developed by Pitt's Center for Social and Urban Research and provides the county, census tract, county subarea/municipality, Allegheny County Council District, PA House and Senate District numbers, school district, and Zip codes. Also included from the City of Pittsburgh: neighborhoods, wards, City Council election districts, and City administrative boundaries, including Permits Licenses and Inspection administrative zones, Public Works administrative zones, Fire districts, and Police zones. The file contains data from Allegheny, Armstrong, Beaver, Butler, Fayette, Greene, Indiana, Lawrence, Washington, and Westmoreland Counties in Pennsylvania.
With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.
Basic, Household and Financial, Lifestyle and Interests, Political and Donor.
Here is a list of what sorts of attributes are available for each output type listed above:
Basic:
- Senior in Household
- Young Adult in Household
- Small Office or Home Office
- Online Purchasing Indicator
- Language
- Marital Status
- Working Woman in Household
- Single Parent
- Online Education
- Occupation
- Gender
- DOB (MM/YY)
- Age Range
- Religion
- Ethnic Group
- Presence of Children
- Education Level
- Number of Children
Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool
Lifestyle and Interests:
- Mail Order Buyer
- Pets
- Magazines
- Reading
- Current Affairs and Politics
- Dieting and Weight Loss
- Travel
- Music
- Consumer Electronics
- Arts
- Antiques
- Home Improvement
- Gardening
- Cooking
- Exercise
- Sports
- Outdoors
- Womens Apparel
- Mens Apparel
- Investing
- Health and Beauty
- Decorating and Furnishing
Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation
https://www.usa.gov/government-workshttps://www.usa.gov/government-works
After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.
The following dataset provides facility-level data for hospital utilization aggregated on a weekly basis (Sunday to Saturday). These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.
The hospital population includes all hospitals registered with Centers for Medicare & Medicaid Services (CMS) as of June 1, 2020. It includes non-CMS hospitals that have reported since July 15, 2020. It does not include psychiatric, rehabilitation, Indian Health Service (IHS) facilities, U.S. Department of Veterans Affairs (VA) facilities, Defense Health Agency (DHA) facilities, and religious non-medical facilities.
For a given entry, the term “collection_week” signifies the start of the period that is aggregated. For example, a “collection_week” of 2020-11-15 means the average/sum/coverage of the elements captured from that given facility starting and including Sunday, November 15, 2020, and ending and including reports for Saturday, November 21, 2020.
Reported elements include an append of either “_coverage”, “_sum”, or “_avg”.
The file will be updated weekly. No statistical analysis is applied to impute non-response. For averages, calculations are based on the number of values collected for a given hospital in that collection week. Suppression is applied to the file for sums and averages less than four (4). In these cases, the field will be replaced with “-999,999”.
A story page was created to display both corrected and raw datasets and can be accessed at this link: https://healthdata.gov/stories/s/nhgk-5gpv
This data is preliminary and subject to change as more data become available. Data is available starting on July 31, 2020.
Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied according to prioritization rules within HHS Protect.
For influenza fields listed in the file, the current HHS guidance marks these fields as optional. As a result, coverage of these elements are varied.
For recent updates to the dataset, scroll to the bottom of the dataset description.
On May 3, 2021, the following fields have been added to this data set.
On May 8, 2021, this data set is the originally reported numbers by the facility. This data set may contain data anomalies due to data key entries.
On May 13, 2021 Changed vaccination fields from sum to max or min fields. This reflects the maximum or minimum number reported for that metric in a given week.
On June 7, 2021 Changed vaccination fields from max or min fields to Wednesday reported only. This reflects that the number reported for that metric is only reported on Wednesdays in a given week.
On January 19, 2022, the following fields have been added to this dataset:
On April 28, 2022, the following pediatric fields have been added to this dataset:
Due to changes in reporting requirements, after June 19, 2023, a collection week is defined as starting on a Sunday and ending on the next Saturday.
Census tracts are small and relatively permanent statistical subdivisions of a county or equivalent entity. Local participants review and update census tracts prior to each decennial census as part of the Census Bureau’s PSAP. The Census Bureau updates census tracts in situations where no local participant existed or where local or tribal governments declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of decennial census data. Census tracts generally have a population size of 1,200 to 8,000 people with an optimum size of 4,000 people. The spatial size of census tracts varies widely depending on the density of settlement. Ideally, census tract boundaries remain stable over time to facilitate statistical comparisons from census to census. However, physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, significant changes in population may result in splitting or combining census tracts. Census tract boundaries generally follow visible and identifiable features. Census tract boundaries may follow legal boundaries (e.g., MCD or incorporated place boundaries in some states to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses). State and county boundaries always are census tract boundaries in the standard census geographic hierarchy.In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. Census Tract Codes and Numbers—Census tract numbers have up to a 4-character basic number and may have an optional 2-character suffix. For example, 1457.02. The census tract numbers (used as names) eliminate any leading zeroes and append a suffix only if required. The 6-digit census tract codes, however, include leading zeroes and have an implied decimal point for the suffix. Census tract codes (000100 to 998999) are unique within a county or equivalent area. The Census Bureau assigned a census tract code of 9900 to represent census tracts delineated to cover large bodies of water. In addition, census tract codes in the 9400s represent American Indian Areas and codes in the 9800s represent special land use areas. The Census Bureau uses suffixes to help identify census tract changes for comparison purposes. Local participants have an opportunity to review the existing census tracts before each census. If local participants split a census tract, the split parts usually retain the basic number, but receive different suffixes. In a few counties, local participants request major changes to, and renumbering of, the census tracts. Changes to individual census tract boundaries usually do not result in census tract numbering changes. Relationship to Other Geographic Entities—Within the standard census geographic hierarchy, census tracts never cross state or county boundaries, but may cross the boundaries of county subdivisions, places, urban areas, voting districts, congressional districts, and AIANNH areas. Census Tract Numbers and Codes: 000100 to 939999 - Basic number range for census tracts940000 to 949999 - American Indian Areas950000 to 979999 - Basic number range for census tracts980000 to 989999 - Special land use areas990000 to 990099 - Basic number range for census tracts in water areas990100 to 998900 - Basic number range for census tracts 2020 Census legal boundaries (TIGER/Line Shapefiles) were downloaded from the Census website. Data pertaining to Somerset County was extracted and processed by the Somerset County Office of GIS Services (SCOGIS)
2020 Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and are reviewed and updated by local participants prior to each decennial census as part of the Census Bureau’s Participant Statistical Areas Program (PSAP). The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of decennial census data. Census tracts generally have a total population size between 1,200 and 8,000 people with an optimum size of 4,000 people. The spatial size of census tracts varies widely depending on the density of settlement. Ideally, census tract boundaries remain stable over time to facilitate statistical comparisons from census to census. However, physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, significant changes in population may result in splitting or combining census tracts. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy, but tracts can cross the same kinds of boundaries that block groups can. Census tract numbers have up to a 4-character basic number and may have an optional 2-character suffix. The census tract numbers (used as names) eliminate any leading zeroes and append a suffix only if required. The 6-digit census tract codes, however, include leading zeroes and have an implied decimal point for the suffix. Census tract codes (000100 to 998999) are unique within a county or equivalent area.
2020 Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and are reviewed and updated by local participants prior to each decennial census as part of the Census Bureau’s Participant Statistical Areas Program (PSAP). The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of decennial census data. Census tracts generally have a total population size between 1,200 and 8,000 people with an optimum size of 4,000 people. The spatial size of census tracts varies widely depending on the density of settlement. Ideally, census tract boundaries remain stable over time to facilitate statistical comparisons from census to census. However, physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, significant changes in population may result in splitting or combining census tracts. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy, but tracts can cross the same kinds of boundaries that block groups can. Census tract numbers have up to a 4-character basic number and may have an optional 2-character suffix. The census tract numbers (used as names) eliminate any leading zeroes and append a suffix only if required. The 6-digit census tract codes, however, include leading zeroes and have an implied decimal point for the suffix. Census tract codes (000100 to 998999) are unique within a county or equivalent area.
With extensive coverage nationally and across various languages, our B2C Language Demographic Data provides valuable insights for sales, marketing, and research purposes. Whether you're seeking to expand your client base, enhance lead generation efforts, or conduct market analysis, our dataset empowers you to make informed decisions and drive business growth.
Our B2C Language Demographic Data covers a wide range of languages including but not limited to Chinese, Arabic, Hindi, French, German, Vietnamese and more. By leveraging our dataset, you can identify potential prospects, explore new market opportunities, and stay ahead of the competition. Whether you're a startup looking to establish your presence, a seasoned enterprise aiming to expand your market share or a researcher, our B2C Language Demographic Data offers valuable insights.
Uses
The use cases of our B2C Language Demographic Data are diverse and versatile. From targeted marketing campaigns (e.g., billboard, location-based), to market segmentation and cohort analysis, our dataset serves as a valuable asset for various business and research functions. Whether you're targeting influencers, or specific industry verticals, our B2C Language Demographic Data provides the foundation for effective communication and engagement.
Key benefits of our B2C Language Demographic Data include:
Why businesses partner with us:
Operating for over ten years, innovation is our north star, driving value, fostering collaborative grown and compounding returns for our partners.
Our data is compliant and responsibly collected.
We are easy to work with.
We offer products that are cost effective and good value.
We work to make an impact for our customers.
Talk to us about the solutions you are after
Key Tags:
Data Enrichment, B2C Sales, Analytics, People Data, B2C, Customer Data, Prospect Data, Audience Generation, B2C Data Enrichment, Business Intelligence, AI / ML, Market Intelligence, Segmentation, Audience Targeting, Audience Intelligence, B2C Advertising, List Validation, Data Cleansing, Competitive Intelligence, Demographic Data, B2C Data, Lead Information, Data Append, Data Augmentation, Data Cleansing, Data Enhancement, Data Intelligence, Data Science, Due Diligence, Marketing Data Enrichment, Master Data Enrichment, People-Based Marketing, Predictive Analytics, Prospecting, Sales Intelligence, Sales Prospecting
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.
With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.
Basic, Household and Financial, Lifestyle and Interests, Political and Donor.
Here is a list of what sorts of attributes are available for each output type listed above:
Basic:
- Senior in Household
- Young Adult in Household
- Small Office or Home Office
- Online Purchasing Indicator
- Language
- Marital Status
- Working Woman in Household
- Single Parent
- Online Education
- Occupation
- Gender
- DOB (MM/YY)
- Age Range
- Religion
- Ethnic Group
- Presence of Children
- Education Level
- Number of Children
Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool
Lifestyle and Interests:
- Mail Order Buyer
- Pets
- Magazines
- Reading
- Current Affairs and Politics
- Dieting and Weight Loss
- Travel
- Music
- Consumer Electronics
- Arts
- Antiques
- Home Improvement
- Gardening
- Cooking
- Exercise
- Sports
- Outdoors
- Womens Apparel
- Mens Apparel
- Investing
- Health and Beauty
- Decorating and Furnishing
Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation
From our comprehensive US Data Lake, we proudly present 23M+ high-quality US decision-makers and influencers.
Take your ABM strategy to the next level, build a strong pipeline and close deals by laser targeting key decision-makers and influencers based on their department, job functions, job responsibilities, interest areas and expertise, then utilise essential prospect information, including verified work email addresses and business phone and social links.
Our data is sourced directly from executives, businesses, official sources and registries, standardised, de-duped, and verified, and then processed through vigorous compliance procedures for GDPR/PECR on a legitimate interest basis and RTBI etc. This results in a highly accurate single source of quality and compliant B2B data.
It is with our B2B Live Data Lake that we can enrich your CRM data, supply new prospect data, verify leads, and provide you with a custom dataset tailored to your target audience specifications. We also cater for big data licensing to software providers and agencies that intend to supply our data to their customers and use it in their software solutions.
and much more
Why Choose 1 Stop Data?
Products and Services:
The oscar4.io web platform for self-service data on demand Bulk data feeds Data hygiene, standardisation, cleansing and enrichment Know Your Business (KYB)
Keywords:
B2B,Prospect Data,Validated Work Emails,Personal Emails,Email Enrichment,Company Data,Lead Enrichment,Data Enhancement,Account Based Marketing (ABM),Customer Data,Phone Enrichment,LinkedIn URL,Market Intelligence,Business Intelligence,Data Append,Contact Data,Lead Generation,360-Degree Customer View,Data Cleansing,Lead Data,Email and Phone Validation,Data Augmentation,Segmentation,Data Enrichment,Email Marketing,Data Intelligence,Direct Marketing,Customer Insights,Audience Targeting,Audience Generation,Mobile Phone,B2B Data Enrichment,Social Advertising,Due Diligence,B2B Advertising,Audience Insights,B2B Lead Retargeting,Contact Information,Demographic Data,Consumer Data Enrichment,People-Based Marketing,Contact Data Enrichment,Customer Data Insights,Prospecting,Sales Intelligence,Predictive Analytics,Email Address Validation,Company Data Enrichment,Audience Intelligence,Cold Outreach,Analytics,Marketing Data Enrichment,Customer Acquisition,Data Cleansing,B2C Data,People Data,Professional Information,Recruiting and HR,KYC,B2B List Validation,Lead Information,Sales Prospecting,B2B Sales,B2B Data,Lead Lists,Contact Validation,Competitive Intelligence,Customer Data Enrichment,Identity Resolution,Identity Validation,Data Science,B2C Data Enrichment,B2C,Lead Data Enrichment,Social Media Data.
From our comprehensive UK Data Lake, we proudly present 5M+ high-quality UK decision-makers and influencers.
Take your ABM strategy to the next level, build a strong pipeline and close deals by laser targeting key decision-makers and influencers based on their department, job functions, job responsibilities, interest areas and expertise, then utilise essential prospect information, including verified work email addresses and business phone and social links.
Our data is sourced directly from executives, businesses, official sources and registries, standardised, de-duped, and verified, and then processed through vigorous compliance procedures for GDPR/PECR on a legitimate interest basis and RTBI etc. This results in a highly accurate single source of quality and compliant B2B data.
It is with our B2B Live Data Lake that we can enrich your CRM data, supply new prospect data, verify leads, and provide you with a custom dataset tailored to your target audience specifications. We also cater for big data licensing to software providers and agencies that intend to supply our data to their customers and use it in their software solutions.
and much more
Why Choose 1 Stop Data?
Products and Services:
The oscar4.io web platform for self-service data on demand Bulk data feeds Data hygiene, standardisation, cleansing and enrichment Know Your Business (KYB)
Keywords:
B2B,Prospect Data,Validated Work Emails,Personal Emails,Email Enrichment,Company Data,Lead Enrichment,Data Enhancement,Account Based Marketing (ABM),Customer Data,Phone Enrichment,LinkedIn URL,Market Intelligence,Business Intelligence,Data Append,Contact Data,Lead Generation,360-Degree Customer View,Data Cleansing,Lead Data,Email and Phone Validation,Data Augmentation,Segmentation,Data Enrichment,Email Marketing,Data Intelligence,Direct Marketing,Customer Insights,Audience Targeting,Audience Generation,Mobile Phone,B2B Data Enrichment,Social Advertising,Due Diligence,B2B Advertising,Audience Insights,B2B Lead Retargeting,Contact Information,Demographic Data,Consumer Data Enrichment,People-Based Marketing,Contact Data Enrichment,Customer Data Insights,Prospecting,Sales Intelligence,Predictive Analytics,Email Address Validation,Company Data Enrichment,Audience Intelligence,Cold Outreach,Analytics,Marketing Data Enrichment,Customer Acquisition,Data Cleansing,B2C Data,People Data,Professional Information,Recruiting and HR,KYC,B2B List Validation,Lead Information,Sales Prospecting,B2B Sales,B2B Data,Lead Lists,Contact Validation,Competitive Intelligence,Customer Data Enrichment,Identity Resolution,Identity Validation,Data Science,B2C Data Enrichment,B2C,Lead Data Enrichment,Social Media Data.
The ePCCF product comprised of two files, the Unique ePCCF and the Rural Enhanced PCCF. The Unique Enhanced PCCF file contains 911,992 postal code points. The ePCCF is released twice per year to capture changes to the Canada Post postal code roster throughout the year.
While the basic PCCF may report a single postal code representing a half-dozen rural communities, our Enhanced PCCF uses a combination of place name and postal code data to assign to each record the characteristics (and location) of the DA. This Rural Enhanced PCCF refines rural postal code assignments by including the ability to match using a combination of postal code and community names commonly associated with that postal code.
This combination provides a greater degree of precision in locating rural records and results in more accurate assignment of data to customer records for rural areas.
The Enhanced PCCF can be used to geocode a company’s customer list and to append demographic and PRIZM® lifestyle segments to records for mapping and other analytical applications like data mining to uncover behavioural patterns for targeting campaigns.
Key Features: • Matches emails, phone numbers, and names to consumer profiles • Appends additional contact fields and demographic attributes (where available) • Built on permission-based, privacy-compliant global data sources • High match rates for reliable identity resolution
What You Can Match & Append: • Full Name • Email Address • Phone Number • Physical Address (City, Zipcode, Country - based on availability)
Use Cases: • Customer record enrichment • Identity resolution and deduplication • Fraud prevention and validation
Data Format: Emails, Phone Numbers, or Mixed Identifier Inputs
Data Delivery: SFTP
Perfect For: • Identity & Fraud Solutions • Data Brokers & Enrichment Providers • Customer Intelligence & Insights Teams
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Learn how you can add new datasets to our index.
With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.
Basic, Household and Financial, Lifestyle and Interests, Political and Donor.
Here is a list of what sorts of attributes are available for each output type listed above:
Basic:
- Senior in Household
- Young Adult in Household
- Small Office or Home Office
- Online Purchasing Indicator
- Language
- Marital Status
- Working Woman in Household
- Single Parent
- Online Education
- Occupation
- Gender
- DOB (MM/YY)
- Age Range
- Religion
- Ethnic Group
- Presence of Children
- Education Level
- Number of Children
Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool
Lifestyle and Interests:
- Mail Order Buyer
- Pets
- Magazines
- Reading
- Current Affairs and Politics
- Dieting and Weight Loss
- Travel
- Music
- Consumer Electronics
- Arts
- Antiques
- Home Improvement
- Gardening
- Cooking
- Exercise
- Sports
- Outdoors
- Womens Apparel
- Mens Apparel
- Investing
- Health and Beauty
- Decorating and Furnishing
Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation