100+ datasets found
  1. d

    Contact Data Enrichment, CRM Data Enrichment, People Data Enrichment, Email...

    • datarade.ai
    Updated Mar 19, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nimbler (2021). Contact Data Enrichment, CRM Data Enrichment, People Data Enrichment, Email Enrichment, Phone Number Enrichment, Social Media Profiles Enrichment. [Dataset]. https://datarade.ai/data-products/contact-data-enrichment-crm-data-enrichment-people-data-enr-nymblr-inc
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Mar 19, 2021
    Dataset authored and provided by
    Nimbler
    Area covered
    United States of America
    Description

    Nymblr offers access to over 80 million US-based verified B2B contacts with valid work emails, personal emails, work phones & direct dials, and social profiles. Easily enrich your contact data in real-time with our APIs or provide us with flat files with your records and we'll do the work for you.

    Nymblr makes it easy to enrich emails, phone numbers, social media profiles and receive additional data attributes including:

    Job Title Seniority Level (C-Level/Owner, VP, Director, etc.) Job Department (Sales, Accounting, Marketing, Finance, etc.) Skills Company Name/Company Domain Company Industry Company SIC Company Revenue Company Size Location (State, and City)

    Contact us to get a free trial today! No commitments required.

  2. d

    Customer Data Enrichment - Netherlands (names, address, phone number, email)...

    • datarade.ai
    .csv
    Updated Oct 6, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Matrixian (2020). Customer Data Enrichment - Netherlands (names, address, phone number, email) [Dataset]. https://datarade.ai/data-products/data-enrichment-matrixian-group
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Oct 6, 2020
    Dataset authored and provided by
    Matrixian
    Area covered
    Netherlands
    Description

    A complete customer base is important, as you cannot (properly) reach your customers when data is missing. With our Data Enrichment solution, missing data can be added to your customer base. This starts with validating the contact information you already have, such as names, addresses, phone numbers and email addresses. Besides, we can also enrich your database with specific wishes, such as real estate, location and / or consumer data.

    Benefits: - An accurate customer base - Always reach the right (potential) customers - Reconnect with dormant accounts - Data enrichment as desired

  3. d

    SMARTe Enrich - CRM Data audit with Real time Enrichment

    • datarade.ai
    Updated Sep 11, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SMARTe (2020). SMARTe Enrich - CRM Data audit with Real time Enrichment [Dataset]. https://datarade.ai/data-products/smarte-datagenie
    Explore at:
    Dataset updated
    Sep 11, 2020
    Dataset authored and provided by
    SMARTe
    Area covered
    Venezuela (Bolivarian Republic of), Portugal, Australia, Netherlands, Hungary, Singapore, Indonesia, Argentina, Thailand, New Zealand
    Description

    SMARTe Enrich offers a comprehensive data audit to help identify potential bad data, duplicates and redundant Salesforce CRM records. Our intuitive dashboards can provide a visual view of the complete CRM data health analysis. The audit is done at CRM record level and also at field level. Besides, the Real Time Enrichment is completely automated and happens proactively within the Salesforce CRM experience. The product also offers Persona based enrichment that can boost marketing campaigns.

  4. h

    saas-companies

    • huggingface.co
    Updated Dec 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Company Enrich (2024). saas-companies [Dataset]. https://huggingface.co/datasets/company-enrich/saas-companies
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 16, 2024
    Dataset authored and provided by
    Company Enrich
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    SaaS Companies Dataset

    This dataset contains a list of 500 Software as a Service (SaaS) companies, providing a valuable resource for those interested in the SaaS industry. The dataset includes essential information such as the company's name, website, type of service, industry category, relevant keywords, and a brief description.

      Dataset Overview
    

    Number of Companies: 500 Data Format: CSV Fields Included: Name: The name of the company. URL: The website URL of the company.… See the full description on the dataset page: https://huggingface.co/datasets/company-enrich/saas-companies.

  5. p

    Trends in Total Students (2017-2023): Enrich Gm

    • publicschoolreview.com
    Updated Aug 29, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review (2014). Trends in Total Students (2017-2023): Enrich Gm [Dataset]. https://www.publicschoolreview.com/enrich-gm-profile
    Explore at:
    Dataset updated
    Aug 29, 2014
    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual total students amount from 2017 to 2023 for Enrich Gm

  6. D

    Data Enrichment Tool Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). Data Enrichment Tool Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/data-enrichment-tool-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Data Enrichment Tool Market Outlook



    The global data enrichment tool market size was valued at approximately USD 1.5 billion in 2023, and it is projected to reach around USD 5.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 16.3% during the forecast period. This substantial growth is driven by the increasing demand for accurate, comprehensive, and quality data to support business intelligence and analytics in various sectors.



    Several factors contribute to the robust growth of the data enrichment tool market. One of the primary drivers is the proliferation of big data across industries. Organizations are constantly collecting vast amounts of data from various sources, and the need to refine this raw data into actionable insights has never been greater. Data enrichment tools play a crucial role in this transformation by enhancing and improving the quality of data, thereby enabling businesses to make informed decisions. The evolution of machine learning and artificial intelligence technologies has further augmented the capabilities of data enrichment tools, making them indispensable in the modern data-driven landscape.



    Another significant growth factor is the increasing adoption of customer-centric business models. Enterprises are focusing on understanding their customers better to provide personalized experiences, and enriched data is key to achieving this goal. By integrating various data points and ensuring their accuracy and relevance, data enrichment tools help in building comprehensive customer profiles. This, in turn, leads to more effective marketing strategies, enhanced customer satisfaction, and improved retention rates. Additionally, the rise of e-commerce and digital platforms has necessitated the need for enriched data to gain a competitive edge in the market.



    The regulatory landscape surrounding data privacy and security is also a pivotal factor influencing the growth of the data enrichment tool market. With stringent regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), organizations are under immense pressure to maintain high standards of data accuracy and compliance. Data enrichment tools assist in ensuring that the data used by companies is not only accurate but also compliant with these regulations. This aspect is particularly crucial for sectors such as BFSI and healthcare, where data integrity and privacy are paramount.



    In the rapidly evolving landscape of data enrichment, the role of an Alternative Data Provider has become increasingly significant. These providers offer unique datasets that are not traditionally available through conventional data sources. By leveraging alternative data, organizations can gain a competitive edge by uncovering hidden patterns and insights that might otherwise go unnoticed. This data can include information from social media, satellite imagery, web traffic, and more, providing a more comprehensive view of market trends and consumer behavior. The integration of alternative data into enrichment tools allows businesses to enhance their analytical capabilities, leading to more informed decision-making and strategic planning. As the demand for diverse and high-quality data continues to grow, the influence of Alternative Data Providers is expected to expand, offering new opportunities for innovation and growth in the data enrichment tool market.



    From a regional perspective, North America holds the largest share of the data enrichment tool market. The presence of major technology players and the high adoption rate of advanced analytics solutions in this region significantly contribute to its dominance. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period. The rapid digital transformation, increasing internet penetration, and the burgeoning e-commerce industry in countries like China and India are key factors driving the market in this region. Europe and Latin America also present substantial growth opportunities due to the increasing focus on data-driven decision-making processes across industries.



    Component Analysis



    The data enrichment tool market is segmented by components into software and services. The software component dominates the market due to the increasing adoption of sophisticated data enrichment platforms that offer advanced features like machine learning integration, real-time data processing, and extensive data analytics capabilities. These software s

  7. p

    Distribution of Students Across Grade Levels in Enrich Gm

    • publicschoolreview.com
    Updated Aug 29, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review (2014). Distribution of Students Across Grade Levels in Enrich Gm [Dataset]. https://www.publicschoolreview.com/enrich-gm-profile
    Explore at:
    Dataset updated
    Aug 29, 2014
    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual distribution of students across grade levels in Enrich Gm

  8. p

    Enrich Gm

    • publicschoolreview.com
    json, xml
    Updated Aug 29, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review (2014). Enrich Gm [Dataset]. https://www.publicschoolreview.com/enrich-gm-profile
    Explore at:
    json, xmlAvailable download formats
    Dataset updated
    Aug 29, 2014
    Dataset authored and provided by
    Public School Review
    License

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

    Time period covered
    Jan 1, 2017 - Dec 31, 2025
    Description

    Historical Dataset of Enrich Gm is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2017-2023),Distribution of Students By Grade Trends,Hispanic Student Percentage Comparison Over Years (2017-2022),Black Student Percentage Comparison Over Years (2017-2023),White Student Percentage Comparison Over Years (2017-2023),Diversity Score Comparison Over Years (2017-2023),Free Lunch Eligibility Comparison Over Years (2019-2023)

  9. h

    enrich-music4all

    • huggingface.co
    Updated Mar 13, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    seungheon.doh (2025). enrich-music4all [Dataset]. https://huggingface.co/datasets/seungheondoh/enrich-music4all
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 13, 2025
    Authors
    seungheon.doh
    Description

    seungheondoh/enrich-music4all dataset hosted on Hugging Face and contributed by the HF Datasets community

  10. d

    People Profile API - Enrich Profiles With Structured Data e.g. contact,...

    • datarade.ai
    .json
    Updated Feb 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nubela (2023). People Profile API - Enrich Profiles With Structured Data e.g. contact, jobs, name [Dataset]. https://datarade.ai/data-products/people-profile-api-enrich-profiles-with-structured-data-e-g-nubela
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Feb 1, 2023
    Dataset authored and provided by
    Nubela
    Area covered
    United Arab Emirates, Malawi, Sri Lanka, Heard Island and McDonald Islands, Burkina Faso, Oman, Cuba, San Marino, Montenegro, Benin
    Description

    ➡️ DOCS With just the persons' LinkedIn profile URL, you can get tons of data points of an individual, up to a whooping 44 data points. Check out our API Docs at ➡ nubela.co/proxycurl/docs

    ➡️ PRICING MODEL Get the data using our API at just $0.01/credit, with each successful request using up only 1 credit. If you need more advanced data points, use more credits for each API request.

    ➡️ COVERAGE Our People Profile API covers profiles globally.

    ➡️ FRESHNESS 88% of our data is fetched in real time, and the API takes 2-3 seconds to complete. If freshness is not a priority, you can choose cached results, which returns immediately.

    ➡️ LEGAL COMPLIANCE All our data and procedures are in place that meet major legal compliance requirements such as GDPR, CCPA. We help you be compliant too.

  11. Data from: Evaluating Elements of Web-based Data Enrichment for...

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated Sep 21, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Timo Breuer; Melanie Pest; Philipp Schaer; Timo Breuer; Melanie Pest; Philipp Schaer (2021). Evaluating Elements of Web-based Data Enrichment for Pseudo-Relevance Feedback Retrieval [Dataset]. http://doi.org/10.5281/zenodo.4105885
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 21, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Timo Breuer; Melanie Pest; Philipp Schaer; Timo Breuer; Melanie Pest; Philipp Schaer
    License

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

    Description

    This data archive accompanies our work, in which we analyze a pseudo-relevance retrieval method that is based on the results of web search engines. By enriching topics with text data from web search engine result pages and linked contents, we train topic-specific and cost-efficient classifiers that can be used to search test collections for relevant documents. Building up on attempts that were initially made at TREC Common Core 2018 by Grossman and Cormack, we address the questions of system performance over time considering different search engines, queries and test collections. Our experimental results show how and to which extent the considered components affect the retrieval performance. Overall, the analyzed method is robust in terms of average retrieval performance and a promising way to use web content for the data enrichment of relevance feedback methods.

  12. p

    Distribution of Students Across Grade Levels in Enrich Excel Achieve...

    • publicschoolreview.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review, Distribution of Students Across Grade Levels in Enrich Excel Achieve Learning Academy [Dataset]. https://www.publicschoolreview.com/enrich-excel-achieve-learning-academy-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual distribution of students across grade levels in Enrich Excel Achieve Learning Academy

  13. p

    Trends in Diversity Score (2017-2023): Enrich Gm vs. Minnesota vs. Southern...

    • publicschoolreview.com
    Updated Aug 29, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review (2014). Trends in Diversity Score (2017-2023): Enrich Gm vs. Minnesota vs. Southern Mn Education Consortium School District [Dataset]. https://www.publicschoolreview.com/enrich-gm-profile
    Explore at:
    Dataset updated
    Aug 29, 2014
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Minnesota
    Description

    This dataset tracks annual diversity score from 2017 to 2023 for Enrich Gm vs. Minnesota and Southern Mn Education Consortium School District

  14. p

    Trends in White Student Percentage (2009-2023): Enrich Excel Achieve...

    • publicschoolreview.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review, Trends in White Student Percentage (2009-2023): Enrich Excel Achieve Learning Academy vs. Wisconsin vs. Wausau School District [Dataset]. https://www.publicschoolreview.com/enrich-excel-achieve-learning-academy-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Wausau School District, Wisconsin
    Description

    This dataset tracks annual white student percentage from 2009 to 2023 for Enrich Excel Achieve Learning Academy vs. Wisconsin and Wausau School District

  15. d

    Data Enrichment, CRM Enrichment, and Lead Enrichment | U.S. Contact Data,...

    • datarade.ai
    .json, .csv, .xls
    Updated Jul 1, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Salutary Data (2023). Data Enrichment, CRM Enrichment, and Lead Enrichment | U.S. Contact Data, Company Data, Email, Mobile Phone, B2B, Lead Generation [Dataset]. https://datarade.ai/data-products/salutary-data-data-enrichment-crm-enrichment-and-lead-enr-salutary-data
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Jul 1, 2023
    Dataset authored and provided by
    Salutary Data
    Area covered
    United States of America
    Description

    Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

    We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

    What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

    Products: API Suite Web UI Full and Custom Data Feeds

    Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

  16. a

    Enriched CDC Places and Patients Data

    • community-health-outreach-4-healthgis.hub.arcgis.com
    Updated Aug 17, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Model Health Organization (2022). Enriched CDC Places and Patients Data [Dataset]. https://community-health-outreach-4-healthgis.hub.arcgis.com/items/29c8df8f6c4d44448c270401e7325f16
    Explore at:
    Dataset updated
    Aug 17, 2022
    Dataset authored and provided by
    Model Health Organization
    Area covered
    Description

    Feature layer generated from running the Enrich layer solution. CDC Places and Patients Data were enriched

  17. h

    enrich-blog-posts-data-v01_group

    • huggingface.co
    Updated Apr 13, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Pi Labs Inc. (2025). enrich-blog-posts-data-v01_group [Dataset]. https://huggingface.co/datasets/withpi/enrich-blog-posts-data-v01_group
    Explore at:
    Dataset updated
    Apr 13, 2025
    Dataset provided by
    Pi Labs, Inc.
    Authors
    Pi Labs Inc.
    Description

    withpi/enrich-blog-posts-data-v01_group dataset hosted on Hugging Face and contributed by the HF Datasets community

  18. o

    CellEnrich sample data

    • explore.openaire.eu
    • zenodo.org
    Updated Jan 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ulsan National Institute of Science and Technology (2024). CellEnrich sample data [Dataset]. http://doi.org/10.5281/zenodo.12194770
    Explore at:
    Dataset updated
    Jan 1, 2024
    Authors
    Ulsan National Institute of Science and Technology
    Description

    Sample datasets for testing CellEnrich package.

  19. General download statistics.

    • plos.figshare.com
    xls
    Updated May 10, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Elina Late; Michael Ochsner (2024). General download statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0303190.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 10, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Elina Late; Michael Ochsner
    License

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

    Description

    The aim of this paper is to investigate the re-use of research data deposited in digital data archive in the social sciences. The study examines the quantity, type, and purpose of data downloads by analyzing enriched user log data collected from Swiss data archive. The findings show that quantitative datasets are downloaded increasingly from the digital archive and that downloads focus heavily on a small share of the datasets. The most frequently downloaded datasets are survey datasets collected by research organizations offering possibilities for longitudinal studies. Users typically download only one dataset, but a group of heavy downloaders form a remarkable share of all downloads. The main user group downloading data from the archive are students who use the data in their studies. Furthermore, datasets downloaded for research purposes often, but not always, serve to be used in scholarly publications. Enriched log data from data archives offer an interesting macro level perspective on the use and users of the services and help understanding the increasing role of repositories in the social sciences. The study provides insights into the potential of collecting and using log data for studying and evaluating data archive use.

  20. a

    Bigfoot Locations

    • hub.arcgis.com
    Updated May 3, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    East Carolina University (2018). Bigfoot Locations [Dataset]. https://hub.arcgis.com/datasets/9947fc49e6c44120b4a1b3133c073dbc
    Explore at:
    Dataset updated
    May 3, 2018
    Dataset authored and provided by
    East Carolina University
    Area covered
    Description

    The data was gathered from the BFRO Website and enriched using land cover and other environmental data available through the enrich data option in Arcgis online.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Nimbler (2021). Contact Data Enrichment, CRM Data Enrichment, People Data Enrichment, Email Enrichment, Phone Number Enrichment, Social Media Profiles Enrichment. [Dataset]. https://datarade.ai/data-products/contact-data-enrichment-crm-data-enrichment-people-data-enr-nymblr-inc

Contact Data Enrichment, CRM Data Enrichment, People Data Enrichment, Email Enrichment, Phone Number Enrichment, Social Media Profiles Enrichment.

Explore at:
.json, .xml, .csv, .xlsAvailable download formats
Dataset updated
Mar 19, 2021
Dataset authored and provided by
Nimbler
Area covered
United States of America
Description

Nymblr offers access to over 80 million US-based verified B2B contacts with valid work emails, personal emails, work phones & direct dials, and social profiles. Easily enrich your contact data in real-time with our APIs or provide us with flat files with your records and we'll do the work for you.

Nymblr makes it easy to enrich emails, phone numbers, social media profiles and receive additional data attributes including:

Job Title Seniority Level (C-Level/Owner, VP, Director, etc.) Job Department (Sales, Accounting, Marketing, Finance, etc.) Skills Company Name/Company Domain Company Industry Company SIC Company Revenue Company Size Location (State, and City)

Contact us to get a free trial today! No commitments required.

Search
Clear search
Close search
Google apps
Main menu