100+ datasets found
  1. Use of first-party data in marketing personalization worldwide 2021-2022

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Use of first-party data in marketing personalization worldwide 2021-2022 [Dataset]. https://www.statista.com/statistics/451641/customer-data-used-marketing-personalization-worldwide/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2022 - May 2022
    Area covered
    Worldwide
    Description

    During a 2022 survey carried out among business managers and above who were familiar with their company's customer experience, marketing tech, or customer data strategies from various countries across the globe, ** percent stated their brands used exclusively first-party data to personalize customer experiences. A year earlier, the share stood at ** percent.

  2. Reasons for using first-party data in marketing personalization worldwide...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Reasons for using first-party data in marketing personalization worldwide 2022 [Dataset]. https://www.statista.com/statistics/1332293/reason-use-first-party-data-marketing-personalization/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2022 - May 2022
    Area covered
    Worldwide
    Description

    During a 2022 survey carried out among business managers and above who were familiar with their company's customer experience, marketing tech, or customer data strategies from various countries across the globe, ** percent stated their brands used exclusively first-party data to personalize customer experiences because the data is higher quality than other data (e.g., first- or second-party data); ** percent said first-party data was easier to manage because their brand owned it.

  3. Lockbox, First Party

    • catalog.data.gov
    • data.va.gov
    • +4more
    Updated Apr 21, 2021
    + more versions
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    Department of Veterans Affairs (2021). Lockbox, First Party [Dataset]. https://catalog.data.gov/dataset/lockbox-first-party
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    Dataset updated
    Apr 21, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    Lockbox First Party provides automated processing of payments made by Veterans who are required to make co-payments for health care services at VA facilities. Veterans receive their bills through the Consolidated Co-payment Processing Center (CCPC) and make payment through Lockbox First Party. Lockbox First Party provides a central collection point for payments through a commercial bank. In addition, Lockbox First Party provides reporting and inquiry capability.

  4. Print personalizations' top 1st-party data sources for marketers in the U.S....

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Print personalizations' top 1st-party data sources for marketers in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1464803/first-party-data-sources-print-vendors-marketers-united-states/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    During a survey conducted in the United States in the first quarter of 2024 among marketers working at organizations running print marketing campaigns, ** percent of respondents selected customer feedback as a primary source for first-party data for print vendors' personalized communications. Around ** percent chose customer demographics.

  5. Effects of phasing out third-party cookies on data marketing in North...

    • statista.com
    Updated Aug 7, 2023
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    Statista (2023). Effects of phasing out third-party cookies on data marketing in North America 2022 [Dataset]. https://www.statista.com/statistics/1202652/phase-out-cookies-data-marketing/
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    Dataset updated
    Aug 7, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2022
    Area covered
    North America
    Description

    During a 2022 survey carried out among data marketers, 41 percent of respondents said they expected that they would be increasing spending/emphasis on use of first-party data because of the planned phase-out of third party cookies by browsers developers; 37 percent said they expected to increase interest in third-party identity resolution solutions.

  6. Popularity of sharing first-party data in the U.S. 2020

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Popularity of sharing first-party data in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/1206477/popularity-first-party-data-sharing-usa/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2020
    Area covered
    United States
    Description

    During a 2020 survey carried out among senior industry experts from companies involved in the use of data and data collaboration from the United States, **** percent of respondents stated they were currently collaborating with a third party to share first-party data for insights, activation, measurements, or attribution; *** percent said they were not collaborating with anybody to such an end but that they used to in the past.

  7. Popularity of sharing first-party data in the UK 2020

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Popularity of sharing first-party data in the UK 2020 [Dataset]. https://www.statista.com/statistics/1222193/popularity-first-party-data-sharing-uk/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2020
    Area covered
    United Kingdom
    Description

    During a 2020 survey carried out among senior industry experts from companies involved in the use of data and data collaboration from the United Kingdom, **** percent of respondents stated they were currently collaborating with a third party to share first-party data for insights, activation, measurements, or attribution; **** percent said they were not collaborating with anybody to such an end but that they used to in the past.

  8. d

    Social Media Ad Exposure | 1st Party | 3B+ events verified, US consumers |...

    • datarade.ai
    .csv, .parquet
    Updated May 1, 2024
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    MFour (2024). Social Media Ad Exposure | 1st Party | 3B+ events verified, US consumers | Facebook, TikTok, X, Instagram and YouTube [Dataset]. https://datarade.ai/data-products/app-web-consumer-data-mfour-s-1st-party-app-web-usage-mfour
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    .csv, .parquetAvailable download formats
    Dataset updated
    May 1, 2024
    Dataset authored and provided by
    MFour
    Area covered
    United States of America
    Description

    This dataset encompasses social media exposure to sponsored posts, collected from over 150,000 triple-opt-in first-party U.S. Daily Active Users (DAU). Use it for measurement, attribution or brand lift surveying. Platforms covered include Facebook, TikTok, X, Instagram and YouTube.

    Platform ad type coverage includes News Feed, Stories and In-Stream Videos on Facebook ; Feed and Reels on Instagram ; Feed on TikTok ; Timeline on X ; Pre-Roll on YouTube.

  9. d

    Global B2B Contact Data | First-Party Data, 100% Opt-in Contacts | 9.4M+...

    • datarade.ai
    .csv
    Updated Jun 12, 2025
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    Response America (2025). Global B2B Contact Data | First-Party Data, 100% Opt-in Contacts | 9.4M+ Consumers | Weekly Refresh [Dataset]. https://datarade.ai/data-products/global-b2b-contact-data-first-party-data-100-opt-in-conta-response-america
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset authored and provided by
    Response America
    Area covered
    South Africa, Rwanda, Tajikistan, Haiti, Taiwan, Zambia, Niger, Mayotte, Lesotho, Saint Helena
    Description

    Attributes: - opt-in - email - name - phone

    9.4MM Global Consumer Data: Comprehensive dataset of 9.4 million global consumers, including email, name, phone, city, region, opt-in status, and date of birth. Data is collected directly from recipients, ensuring compliance, accuracy, and reliability. Designed for highly effective, targeted marketing campaigns, the dataset offers exceptional deliverability and deep insights to drive strong engagement.

  10. d

    Web Traffic Data | Cookieless First Party Opt-In Platform | Capture/Resolve...

    • datarade.ai
    .csv
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    VisitIQ™, Web Traffic Data | Cookieless First Party Opt-In Platform | Capture/Resolve Website Visitors | Pixel | B2B2C 300 Million records | US [Dataset]. https://datarade.ai/data-products/visitiq-web-traffic-data-cookieless-first-party-opt-in-p-visitiq
    Explore at:
    .csvAvailable download formats
    Dataset authored and provided by
    VisitIQ™
    Area covered
    United States of America
    Description

    Be ready for a cookieless internet while capturing anonymous website traffic data!

    By installing the resolve pixel onto your website, business owners can start to put a name to the activity seen in analytics sources (i.e. GA4). With capture/resolve, you can identify up to 40% or more of your website traffic. Reach customers BEFORE they are ready to reveal themselves to you and customize messaging toward the right product or service.

    This product will include Anonymous IP Data and Web Traffic Data for B2B2C.

    Get a 360 view of the web traffic consumer with their business data such as business email, title, company, revenue, and location.

    Super easy to implement and extraordinarily fast at processing, business owners are thrilled with the enhanced identity resolution capabilities powered by VisitIQ's First Party Opt-In Identity Platform. Capture/resolve and identify your Ideal Customer Profiles to customize marketing. Identify WHO is looking, WHAT they are looking at, WHERE they are located and HOW the web traffic came to your site.

    Create segments based on specific demographic or behavioral attributes and export the data as a .csv or through S3 integration.

    Check our product that has the most accurate Web Traffic Data for the B2B2C market.

  11. g

    Third-party digital platforms, applications or websites used by businesses...

    • gimi9.com
    Updated Mar 1, 2025
    + more versions
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    (2025). Third-party digital platforms, applications or websites used by businesses or organizations to outsource tasks, projects or short contracts over the last 12 months, first quarter of 2025 | gimi9.com [Dataset]. https://gimi9.com/dataset/ca_d21ad2cf-fc8a-469b-958a-92cfd4d47040
    Explore at:
    Dataset updated
    Mar 1, 2025
    Description

    Third-party digital platforms, applications or websites used by businesses or organizations to outsource tasks, projects or short contracts over the last 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2025.

  12. H

    Political Party Database Round 2 v4 (first public version)

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Mar 7, 2022
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    Susan Scarrow; Paul D. Webb; Thomas Poguntke (2022). Political Party Database Round 2 v4 (first public version) [Dataset]. http://doi.org/10.7910/DVN/0JVUM8
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 7, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Susan Scarrow; Paul D. Webb; Thomas Poguntke
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Political Party Database (PPDB) is an online public database that is a central source for key information about political party organization, party resources, leadership selection, and partisan political participation in many representative democracies. The files contain the data in SPSS, STATA, and CSV formats. The dataset also includes a PDF with the text responses for the appropriate variables. The PPDB Round 2 dataset complements the Round 1a_1b Dataset. Round 2 data covers 51 countries, reflecting the state of 288 parties in the years 2017-2020.

  13. Importance of collecting selected behavioral data in marketing worldwide...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Importance of collecting selected behavioral data in marketing worldwide 2024 [Dataset]. https://www.statista.com/statistics/1470128/importance-collect-data-worldwide/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    Worldwide
    Description

    During a survey carried out among decision-makers in charge of customer engagement/retention strategy from 20 countries worldwide, ** percent of respondents stated that they thought it was important or critical to collect customer channel engagement data; ************* named real-time experience in this context.

  14. a

    AEC - Federal Election - First Party Preference by Polling Place (Point)...

    • data.aurin.org.au
    Updated Mar 6, 2025
    + more versions
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    (2025). AEC - Federal Election - First Party Preference by Polling Place (Point) 2019 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aec-aec-federal-election-first-preference-by-polling-place-2019-na
    Explore at:
    Dataset updated
    Mar 6, 2025
    License

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

    Description

    This dataset provides the number of votes and the percentage of the first preference vote won by each of the parties in the 2019 federal election. The data also includes the first preferences swing by party - a comparison of the percentage of first preference votes for each party compared to the percentage of first preference votes received at the previous federal election. For more information please visit the Australian Electoral Commission.

  15. Third-party trackers captured with PrivacyScore

    • zenodo.org
    Updated Jan 23, 2025
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    Ana Pop Stefanija; Ana Pop Stefanija (2025). Third-party trackers captured with PrivacyScore [Dataset]. http://doi.org/10.5281/zenodo.14719661
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    Dataset updated
    Jan 23, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ana Pop Stefanija; Ana Pop Stefanija
    License

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

    Description

    This is a dataset of trackers as captured by PrivacyScore (privacyscore.org) on February 19th, 2019. Data collected with Privacy Score was done one-time only, as the presence of trackers is tied with the website, not the research subject. The data collection reflects the state of the particular website at that particular data. Data collected showed that the number of third party embeds (third parties that provide services to the first party) is 575 for only ten websites, set by 328 unique companies, and the number of third-party calls is 172. The queried websites were: Wired, The Guardian, Ars Technica, EuraktivJobs, Forumotion, Motheboard (VICE), Politico EU. The found trackers were tringulated with data from Better.fyi and WhoTracksMe in order to detect the purpose for tracking and the tracking type detected. Visual analysis is provided in the published paper (see details below).

  16. d

    LATAM & Mexico Consumer Sentiment Data | Consumer Trend Prediction &...

    • datarade.ai
    .json, .csv
    Updated Apr 24, 2025
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    Sky Packets (2025). LATAM & Mexico Consumer Sentiment Data | Consumer Trend Prediction & Analysis | 100% First Party Data [Dataset]. https://datarade.ai/data-products/latam-mexico-consumer-sentiment-data-consumer-trend-predi-sky-packets
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Apr 24, 2025
    Dataset authored and provided by
    Sky Packets
    Area covered
    Mexico
    Description

    Sky Packets provides 100% first-party, AI-captured consumer sentiment and trend data from over 2,000 high-traffic retail locations across Mexico, Peru, Ecuador, and Colombia. Our edge-based computer vision systems gather real-world behavioral, emotional, and demographic insights, delivering unmatched visibility into consumer patterns across Latin America.

    Designed for enterprise-grade analysis, our datasets fuel advanced modeling, predictive analytics, and decision-making for global brands, financial firms, and urban intelligence platforms.

    Key Highlights:

    Data Types: Consumer sentiment, demographic estimation (age/gender), foot traffic trends, dwell time

    Capture Method: Computer vision (AI-powered), deployed on-premises across LATAM retail

    Geographic Coverage: Mexico, Peru, Ecuador, Colombia

    Delivery Formats: CSV & JSON (API options potentially)

    Frequency: Daily, weekly, or monthly aggregations

    Use Cases: Trend prediction, retail optimization, site selection, behavioral modeling, brand experience measurement

    Our proprietary network ensures exclusive access to real-time behavioral signals directly from the physical retail environment.

    Ideal for data-driven strategists, investment firms, retail analytics teams, and mobility insight providers seeking a unique and scalable lens into consumer emotions and engagement across Latin America.

    Let Sky Packets elevate your models with AI-grade sentiment intelligence—from the street, not just the screen.

  17. i

    First Party Coverage Cyber Insurance Market - Global Size & Upcoming...

    • imrmarketreports.com
    Updated Jun 2025
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    Swati Kalagate; Akshay Patil; Vishal Kumbhar (2025). First Party Coverage Cyber Insurance Market - Global Size & Upcoming Industry Trends [Dataset]. https://www.imrmarketreports.com/reports/first-party-coverage-cyber-insurance-market
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    Dataset updated
    Jun 2025
    Dataset provided by
    IMR Market Reports
    Authors
    Swati Kalagate; Akshay Patil; Vishal Kumbhar
    License

    https://www.imrmarketreports.com/privacy-policy/https://www.imrmarketreports.com/privacy-policy/

    Description

    The report on First Party Coverage Cyber Insurance covers a summarized study of several factors supporting market growth, such as market size, market type, major regions, and end-user applications. The report enables customers to recognize key drivers that influence and govern the market.

  18. R

    Retail Media Platform Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Apr 27, 2025
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    Archive Market Research (2025). Retail Media Platform Report [Dataset]. https://www.archivemarketresearch.com/reports/retail-media-platform-564827
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 27, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global retail media platform market is experiencing robust growth, driven by the increasing adoption of e-commerce and the escalating demand for targeted advertising solutions. This market is projected to reach a value of $100 billion in 2025, expanding at a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033. This significant expansion is fueled by several key factors. Firstly, retailers are increasingly leveraging their first-party data to offer highly targeted advertising to consumers, resulting in improved campaign performance and increased return on ad spend (ROAS) for brands. Secondly, the shift towards digital channels provides a vast pool of consumer data, enabling precise audience segmentation and personalized advertising experiences, leading to higher engagement and conversion rates. Finally, the growing sophistication of retail media platforms, incorporating advanced analytics and automation, is further optimizing campaign effectiveness and streamlining the advertising process for both retailers and brands. This market is highly fragmented across various segments based on platform type (website, app, other digital platforms) and application (clothing & footwear, food & beverage, etc.). Key players, including Amazon, Walmart, and Alibaba, dominate the landscape, constantly innovating to enhance their offerings and expand their market share. Geographical growth is also uneven, with North America and Asia Pacific currently leading, but strong growth is anticipated in other regions as e-commerce adoption accelerates globally. While the market faces challenges like data privacy concerns and competition from traditional advertising channels, the long-term outlook remains positive, driven by the continuous expansion of e-commerce and the increasing reliance on data-driven marketing strategies. The integration of retail media with other marketing technologies, such as programmatic advertising and influencer marketing, is also expected to create further growth opportunities.

  19. d

    Consumer Enrichment/Enhancement/Append 500+ fields | ICP |Look A Like Model...

    • datarade.ai
    .csv
    Updated Jul 12, 2023
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    VisitIQ™ (2023). Consumer Enrichment/Enhancement/Append 500+ fields | ICP |Look A Like Model | USA| 6 Billion records| HEM MAID EMAIL First Party Opt-In [Dataset]. https://datarade.ai/data-products/visitiq-consumer-enrichment-enhancement-append-500-fields-visitiq
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Jul 12, 2023
    Dataset authored and provided by
    VisitIQ™
    Area covered
    United States
    Description

    Segment or profile your current CRM to launch targeted personalized campaigns, or to find look-a-like prospects and create an Ideal Customer Profile (ICP) using any of the following match points:

    • Email Address
    • Postal Address
    • Name
    • Hashed Email
    • Mobile Device ID

    VisitIQ™ has a self-serve platform and team that can provide back-resolved PII and up to 500 other attributes about the consumers.

    Our company has successfully been able to enrich/append our clients' data files to make it possible for them to activate against social media, email campaigns, and direct mail.

  20. f

    Data from: Evaluation of the impact of digitized first-party audit in a...

    • tandf.figshare.com
    • figshare.com
    docx
    Updated May 12, 2025
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    Martina Sartoni; Roberta Moruzzo; Francesco Riccioli; Ambra Berni; Alessandra Guidi (2025). Evaluation of the impact of digitized first-party audit in a large retail company [Dataset]. http://doi.org/10.6084/m9.figshare.29041536.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    Martina Sartoni; Roberta Moruzzo; Francesco Riccioli; Ambra Berni; Alessandra Guidi
    License

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

    Description

    Digital transition is increasingly affecting the food industry production processes as well as the food safety management tools; among this latter, the auditing system, where digitalization means making use of digital technology to support its preparation, execution, data management, and communication with stakeholders. In this context, this study investigates the use of digitalization in internal audits and evaluates the impact on auditors’ working times and minor and major observed non-conformities (NCs). The survey was carried out from 2014 to 2019 within 27 stores of an important large-scale retail trade in the Tuscany Region (Italy), comparing a digitalized system with the traditional paper-based method. Results indicate a reduction of audit’s front office time by an average of 70% and back-office time by an average of 62%; the number of minor NCs has reduced by an average of 39% and major NCs has reduced by an average of 30%. The adoption of digital technologies in auditing can lead to significant improvement of audit procedures as its scheduling and reporting system. However, it should be noted that significant tecno-managerial investments may be required to fully realize these benefits, which represent challenges to implementation.

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Statista (2025). Use of first-party data in marketing personalization worldwide 2021-2022 [Dataset]. https://www.statista.com/statistics/451641/customer-data-used-marketing-personalization-worldwide/
Organization logo

Use of first-party data in marketing personalization worldwide 2021-2022

Explore at:
Dataset updated
Jul 10, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Apr 2022 - May 2022
Area covered
Worldwide
Description

During a 2022 survey carried out among business managers and above who were familiar with their company's customer experience, marketing tech, or customer data strategies from various countries across the globe, ** percent stated their brands used exclusively first-party data to personalize customer experiences. A year earlier, the share stood at ** percent.

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