100+ datasets found
  1. U.S. trust in political campaigns to accurately report election information...

    • statista.com
    Updated Aug 26, 2024
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    Statista (2024). U.S. trust in political campaigns to accurately report election information 2023 [Dataset]. https://www.statista.com/statistics/1428659/political-campaign-election-information-trust-us/
    Explore at:
    Dataset updated
    Aug 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 9, 2023 - Dec 12, 2023
    Area covered
    United States
    Description

    Heading into a presidential election year, a December 2023 survey found that a considerable share of U.S. citizens did not place a lot of trust in political campaigns to accurately report election information. About one-third of respondents reported that they did not trust campaigns at all in their reporting, compared to seven percent that placed a great deal of trust in political campaign reporting.

  2. s

    Content Marketing Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Content Marketing Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/digital-marketing-statistics/
    Explore at:
    Dataset updated
    Apr 1, 2025
    License

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

    Description

    Content marketing is a core part of a digital marketing strategy. 62% of marketers plan to increase content marketing budgets within the next fiscal year.

  3. s

    Paid Advertising Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Paid Advertising Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/digital-marketing-statistics/
    Explore at:
    Dataset updated
    Apr 1, 2025
    License

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

    Description

    People think of paid advertising as the holy grail of digital marketing. The truth is that paid ads can deliver excellent results for your business very quickly. Here are some digital marketing statistics about paid advertising to keep in mind.

  4. Number of newsletters per week

    • getresponse.com
    Updated Apr 5, 2017
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    GetResponse (2017). Number of newsletters per week [Dataset]. https://www.getresponse.com/resources/reports/email-marketing-benchmarks
    Explore at:
    Dataset updated
    Apr 5, 2017
    Dataset authored and provided by
    GetResponse
    License

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

    Description

    What’s the right email frequency? What’s the potential increase in the number of conversions your email campaigns generate if you add an extra message to your schedule? The data in this table should help you find the right answers.

  5. d

    Campaign Financial Expenditures

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Mar 4, 2025
    + more versions
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    Office of Campaign Finance (2025). Campaign Financial Expenditures [Dataset]. https://catalog.data.gov/dataset/campaign-financial-expenditures-d2f64
    Explore at:
    Dataset updated
    Mar 4, 2025
    Dataset provided by
    Office of Campaign Finance
    Description

    The Office of Campaign Finance (OCF), in cooperation with OCTO, is pleased to publicly share election campaign expenditures data. The Campaign Finance Office is charged with administering and enforcing the District of Columbia laws pertaining to campaign finance operations, lobbying activities, conflict of interest matters, the ethical conduct of public officials, and constituent service and statehood fund programs. OCF provides easy access to all contributions and expenditures reported from 2003, through the current reporting period. Because the system is updated on a daily basis, you may be able to retrieve data received by OCF after the latest reporting period. This data is as reported, but may not be complete. Visit the ocf.dc.gov for more information. Users may also visit the Candidate Campaign Contributions web application to find financial data by zip codes.

  6. d

    US Consumer Marketing Data - 269M+ Consumer Records - 95% Email and Direct...

    • datarade.ai
    Updated Jun 1, 2022
    + more versions
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    Giant Partners (2022). US Consumer Marketing Data - 269M+ Consumer Records - 95% Email and Direct Dials Accuracy [Dataset]. https://datarade.ai/data-products/consumer-business-data-postal-phone-email-demographics-giant-partners
    Explore at:
    Dataset updated
    Jun 1, 2022
    Dataset authored and provided by
    Giant Partners
    Area covered
    United States
    Description

    Premium B2C Consumer Database - 269+ Million US Records

    Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

    Core Database Statistics

    Consumer Records: Over 269 million

    Email Addresses: Over 160 million (verified and deliverable)

    Phone Numbers: Over 76 million (mobile and landline)

    Mailing Addresses: Over 116,000,000 (NCOA processed)

    Geographic Coverage: Complete US (all 50 states)

    Compliance Status: CCPA compliant with consent management

    Targeting Categories Available

    Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

    Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

    Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

    Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

    Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

    Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

    Multi-Channel Campaign Applications

    Deploy across all major marketing channels:

    Email marketing and automation

    Social media advertising

    Search and display advertising (Google, YouTube)

    Direct mail and print campaigns

    Telemarketing and SMS campaigns

    Programmatic advertising platforms

    Data Quality & Sources

    Our consumer data aggregates from multiple verified sources:

    Public records and government databases

    Opt-in subscription services and registrations

    Purchase transaction data from retail partners

    Survey participation and research studies

    Online behavioral data (privacy compliant)

    Technical Delivery Options

    File Formats: CSV, Excel, JSON, XML formats available

    Delivery Methods: Secure FTP, API integration, direct download

    Processing: Real-time NCOA, email validation, phone verification

    Custom Selections: 1,000+ selectable demographic and behavioral attributes

    Minimum Orders: Flexible based on targeting complexity

    Unique Value Propositions

    Dual Spouse Targeting: Reach both household decision-makers for maximum impact

    Cross-Platform Integration: Seamless deployment to major ad platforms

    Real-Time Updates: Monthly data refreshes ensure maximum accuracy

    Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

    Compliance Management: Built-in opt-out and suppression list management

    Ideal Customer Profiles

    E-commerce retailers seeking customer acquisition

    Financial services companies targeting specific demographics

    Healthcare organizations with compliant marketing needs

    Automotive dealers and service providers

    Home improvement and real estate professionals

    Insurance companies and agents

    Subscription services and SaaS providers

    Performance Optimization Features

    Lookalike Modeling: Create audiences similar to your best customers

    Predictive Scoring: Identify high-value prospects using AI algorithms

    Campaign Attribution: Track performance across multiple touchpoints

    A/B Testing Support: Split audiences for campaign optimization

    Suppression Management: Automatic opt-out and DNC compliance

    Pricing & Volume Options

    Flexible pricing structures accommodate businesses of all sizes:

    Pay-per-record for small campaigns

    Volume discounts for large deployments

    Subscription models for ongoing campaigns

    Custom enterprise pricing for high-volume users

    Data Compliance & Privacy

    VIA.tools maintains industry-leading compliance standards:

    CCPA (California Consumer Privacy Act) compliant

    CAN-SPAM Act adherence for email marketing

    TCPA compliance for phone and SMS campaigns

    Regular privacy audits and data governance reviews

    Transparent opt-out and data deletion processes

    Getting Started

    Our data specialists work with you to:

    1. Define your target audience criteria

    2. Recommend optimal data selections

    3. Provide sample data for testing

    4. Configure delivery methods and formats

    5. Implement ongoing campaign optimization

    Why We Lead the Industry

    With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

    Contact our team to discuss your specific targeting requirements and receive custom pricing for your marketing objectives.

  7. D

    Digital Marketing Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    Search Logistics (2025). Digital Marketing Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/digital-marketing-statistics/
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Search Logistics
    License

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

    Description

    I have compiled a list of over 150+ digital marketing statistics to help you see how others are leveraging digital marketing for their own businesses today.

  8. Leading e-mail marketing campaign types worldwide 2024

    • statista.com
    Updated Jun 6, 2025
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    Statista (2025). Leading e-mail marketing campaign types worldwide 2024 [Dataset]. https://www.statista.com/statistics/1375850/email-marketing-campaign-types/
    Explore at:
    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    During a 2024 survey carried out among marketers in selected countries worldwide, newsletters were the most popular type of email marketing campaigns, with **** percent of professionals sending it out to existing and potential customers. The promotional e-mail campaigns followed with **** percent of professionals using it for their marketing purposes.

  9. D

    Campaign Finance Summary

    • data.wa.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Jul 14, 2025
    + more versions
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    Public Disclosure Commission (2025). Campaign Finance Summary [Dataset]. https://data.wa.gov/Politics/Campaign-Finance-Summary/3h9x-7bvm
    Explore at:
    application/rssxml, json, xml, tsv, csv, application/rdfxmlAvailable download formats
    Dataset updated
    Jul 14, 2025
    Dataset authored and provided by
    Public Disclosure Commission
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This data set contains a summary of information about candidate campaigns and political committees by election year. For candidate campaigns and single-year/election committees, a single record is provided that covers all activity of the campaign for the given election year. Information for continuing political committees is summarized by calendar/reporting year. The data set covers that prior 16 years plus the current election year. The data are compiled from the campaign reports deposit (C3), campaign summary reports (C4), campaign registrations (C1/C1pc) and candidate declarations and elections data provided to the PDC by the Washington Secretary of State. Records are updated in near real-time, typically less than 2 minutes from the time the campaign submits new data.

    This dataset is a best-effort by the PDC to provide a complete set of records as described herewith. The PDC provides access to the original reports for the purpose of record verification.

    Descriptions attached to this dataset do not constitute legal definitions; please consult RCW 42.17A and WAC Title 390 for legal definitions and additional information regarding political finance disclosure requirements.

    CONDITION OF RELEASE: This publication and or referenced documents constitutes a list of individuals prepared by the Washington State Public Disclosure Commission and may not be used for commercial purposes. This list is provided on the condition and with the understanding that the persons receiving it agree to this statutorily imposed limitation on its use. See RCW 42.56.070(9) and AGO 1975 No. 15.

  10. d

    City Campaign Expenditures

    • catalog.data.gov
    • data.lacity.org
    Updated Jun 29, 2025
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    data.lacity.org (2025). City Campaign Expenditures [Dataset]. https://catalog.data.gov/dataset/city-campaign-expenditures
    Explore at:
    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.lacity.org
    Description

    City candidates and elected officeholders are subject to detailed public disclosure requirements regarding their political fundraising activities. Expenditures are from Recipient Committee Campaign Statements (CA460) filed online by officeholders and candidates since October 2001.

  11. E

    SMS Marketing Statistics By Effectiveness, Sales, Benefits and Facts

    • electroiq.com
    Updated Mar 24, 2025
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    Electro IQ (2025). SMS Marketing Statistics By Effectiveness, Sales, Benefits and Facts [Dataset]. https://electroiq.com/stats/sms-marketing-statistics/
    Explore at:
    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Electro IQ
    License

    https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    SMS Marketing Statistics: With mobile marketing on the rise, it’s no wonder SMS marketing is becoming more popular among businesses. SMS, which stands for short message service, is a key part of mobile and text message marketing. This tool helps you boost brand awareness, engage with customers, and increase sales. It lets e-commerce marketers build a stronger relationship with their customers and connect with them more personally. SMS marketing is both practical and smart, changing how you grow your business.

    Using SMS ensures quick delivery and efficiency, as your message can be sent instantly and reach customers’ phones within seconds. SMS is especially effective for advertising time-sensitive sales or special promotions exclusive to your mobile customers. We shall shed more light on SMS Marketing Statistics through this article.

  12. Data from: marketing campaign

    • kaggle.com
    Updated Feb 25, 2022
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    Beatrice Tenan (2022). marketing campaign [Dataset]. https://www.kaggle.com/datasets/beatricetenan/marketing-campaign
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 25, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Beatrice Tenan
    Description

    Dataset

    This dataset was created by Beatrice Tenan

    Contents

  13. Campaign Affiliate Data

    • kaggle.com
    zip
    Updated Mar 26, 2024
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    Edgar Raul Cusi Osccorima (2024). Campaign Affiliate Data [Dataset]. https://www.kaggle.com/edgarco11/campaign-affiliate-data
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Mar 26, 2024
    Authors
    Edgar Raul Cusi Osccorima
    Description

    This dataset contains data on transfer affiliates carried out by campaigns of a pension fund company, which shows non-real data on how clients are divided, whether according to their affiliates of origin and when income was given. Notes: the data is fictitious but corresponds to giving an understanding of the business.

    Description from columns: - period: period in yyyymm format in which the transfer was made - id : key id - numdoc: document number - cuspp: registered email - first_name: first name of the affiliate - last_name: first last name of the member - age: age of the member - fund_type: fund type 0, 1, 2, 3 (The higher the type of fund, the greater the investment risk) - afp_origen: origin affiliate company - company: company where you work - ruc: unique company registration number - commission_type: type of account, flow or mixed commission - ram: monthly insurable remuneration (salary, bonuses, etc.) - user_type: new entry or customer again - lead_type: campaign, referral, group - sex: male, female - gest_fecha: date on which the transfer was made mm/dd/yyyy - telephone: contact cell phone number - email: single email - team: team that carried out the transfer of the client - stage: stage, default close

  14. Cleaning Bank Marketing Campaign Data

    • kaggle.com
    Updated Sep 26, 2024
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    Abdelaziz Sami (2024). Cleaning Bank Marketing Campaign Data [Dataset]. https://www.kaggle.com/datasets/abdelazizsami/cleaning-bank-marketing-campaign-data/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 26, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Abdelaziz Sami
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset

    This dataset was created by Abdelaziz Sami

    Released under Apache 2.0

    Contents

  15. Mock Email Campaign Data

    • kaggle.com
    Updated Jan 9, 2021
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    Aristotelis Charalampous (2021). Mock Email Campaign Data [Dataset]. https://www.kaggle.com/aristotelisch/playground-mock-email-campaign/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 9, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aristotelis Charalampous
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Context

    The data are obtained from a hypothetical email campaign by serving 3 different Subject Lines across a three month period. There exist three tables for you to play around.

    For this campaign, we consider as valid responses only the emails which were opened at the Sent Date (i.e. Sent_Date should be equal to Responded_Date.

    Modelling

    Build a model which can predict the Open Rate based on the Customer’s attributes and the SubjetLine_ID received!

  16. SWOT Postlaunch Field Campaign Data from Gliders

    • open.nasa.gov
    • data.nasa.gov
    • +1more
    Updated Jul 2, 2025
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    nasa.gov (2025). SWOT Postlaunch Field Campaign Data from Gliders [Dataset]. https://open.nasa.gov/dataset/swot-postlaunch-field-campaign-data-from-gliders
    Explore at:
    Dataset updated
    Jul 2, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The SWOT Postlaunch Oceanography Field Campaign Data from Gliders collection provides the provides the conductivity, temperature and depth (CTD) measurements and current velocity measurements from autonomous underwater vehicles (AUV) deployed by the Surface Water and Ocean Topography (SWOT) postlaunch field campaign. The SWOT satellite mission launched in late 2022 and underwent a calibration and validation (cal/val) phase in 2023. As part of cal/val, an array of oceanographic instruments was deployed at a site 300 km offshore of California. Two Slocum gliders from Rutgers University were deployed from March to August 2023 as part of the SWOT cal/val effort. Gliders are autonomous vehicles that move up and down in the water column by changing their buoyancy, and while doing so, generate forward propulsion with wings and attitude control much like a glider airplane. The gliders were equipped with CTD sensors for temperature and salinity, and operated in the upper 1000 m of the ocean. Each up/down motion generates a CTD profile, much like a ship-based CTD system or the moored CTD profilers but with some lateral motion in addition to the vertical profiling. The glider data here are provided as full time series, rather than being sorted into profiles.

  17. Average results by country

    • getresponse.com
    Updated Apr 5, 2017
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    GetResponse (2017). Average results by country [Dataset]. https://www.getresponse.com/resources/reports/email-marketing-benchmarks
    Explore at:
    Dataset updated
    Apr 5, 2017
    Dataset authored and provided by
    GetResponse
    License

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

    Description

    What are the average email marketing results in different countries? Here’s what we’ve found.

  18. D

    Campaign Finance - Transactions

    • data.sfgov.org
    • s.cnmilf.com
    • +1more
    application/rdfxml +5
    Updated Jul 13, 2025
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    (2025). Campaign Finance - Transactions [Dataset]. https://data.sfgov.org/City-Management-and-Ethics/Campaign-Finance-Transactions/pitq-e56w
    Explore at:
    tsv, csv, application/rssxml, json, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Jul 13, 2025
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    A. SUMMARY Transactions from FPPC Forms 460, 461, 496, 497, and 450. This dataset combines all schedules, pages, and includes unitemized totals. Only transactions from the "most recent" version of a filing (original/amendment) appear here.

    B. HOW THE DATASET IS CREATED Committees file campaign statements with the Ethics Commission on a periodic basis. Those statements are stored with the Commission's data provider. Data is generally presented as-filed by committees.

    If a committee files an amendment, the data from that filing completely replaces the original and any prior amendments in the filing sequence.

    C. UPDATE PROCESS Each night starting at midnight Pacific time a script runs to check for new filings with the Commission's database, and updates this dataset with transactions from new filings. The update process can take a variable amount of time to complete. Viewing or downloading this dataset while the update is running may result in incomplete data, therefore it is highly recommended to view or download this data before midnight or after 8am.

    During the update, some fields are copied from the Filings dataset into this dataset for viewing convenience. The copy process may occasionally fail for some transactions due to timing issues but should self-correct the following day. Transactions with a blank 'Filing Id Number' or 'Filing Date' field are such transactions, but can be joined with the appropriate record using the 'Filing Activity Nid' field shared between Filing and Transaction datasets.

    D. HOW TO USE THIS DATASET
    Transactions from rejected filings are not included in this dataset. Transactions from many different FPPC forms and schedules are combined in this dataset, refer to the column "Form Type" to differentiate transaction types. Properties suffixed with "-nid" can be used to join the data between Filers, Filings, and Transaction datasets. Refer to the Ethics Commission's webpage for more information. Fppc Form460 is organized into Schedules as follows:

    • A: Monetary Contributions Received
    • B1: Loans Received
    • B2: Loan Guarantors
    • C: Nonmonetary Contributions Received
    • D: Summary of Expenditures Supporting/Opposing Other Candidates, Measures and Committees
    • E: Payments Made
    • F: Accrued Expenses (Unpaid Bills)
    • G: Payments Made by an Agent or Independent Contractor (on Behalf of This Committee)
    • H: Loans Made to Others
    • I: Miscellaneous Increases to Cash

    RELATED DATASETS

  19. E

    Conversational Marketing Statistics And Facts (2025)

    • electroiq.com
    Updated Jul 8, 2025
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    Electro IQ (2025). Conversational Marketing Statistics And Facts (2025) [Dataset]. https://electroiq.com/stats/conversational-marketing-statistics/
    Explore at:
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Electro IQ
    License

    https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Conversational Marketing Statistics: The facilitation of real-time and personalised interactions has been changing the very nature of customer engagement for businesses. In 2024, manufacturers have had to use this approach to enhance the customer experience, increase sales, and reduce costs.

    We will hereafter analyse the evolving conversational marketing statistics and trends that are driving the shifts in 2024, giving your business insight into its increasing impact across various sectors.

  20. d

    Campaign & Election Data | USA Coverage | 74% Right Party Contact Rate |...

    • datarade.ai
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    BatchService, Campaign & Election Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/political-data-voter-data-155m-us-contacts-political-ca-batchservice
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    BatchService
    Area covered
    United States
    Description

    Welcome to BatchData, your trusted source for comprehensive US homeowner data, contact information, and demographic data, all designed to empower political campaigns. In the fast-paced world of politics, staying ahead and targeting the right audience is crucial for success.

    At BatchData, we understand the importance of having the most accurate, up-to-date, and relevant data to help you make informed decisions and connect with your constituents effectively. With our robust data offerings, political campaign agencies can easily reach both homeowners and renters, using direct contact information such as cell phone numbers, emails, and mailing addresses.

    The Power of Data in Political Campaigns In the digital age, political campaigns are increasingly reliant on data-driven strategies. Precise targeting, tailored messaging, and efficient outreach have become the cornerstones of successful political campaigning. BatchData equips political campaign agencies with the tools they need to harness the power of data in their campaigns, enabling them to make the most of every interaction. Harness the power of voter data and campaign & election data to effectively run political campaigns.

    Key Features of BatchData 1. US Homeowner Data At BatchData, we understand that having access to accurate and comprehensive homeowner data is the bedrock of a successful political campaign. Our vast database includes information on homeowners across the United States, allowing you to precisely target this key demographic. With our homeowner data, you can segment your campaign and craft messages that resonate with this audience. Whether you're running a local, state, or national campaign, our homeowner data is an invaluable asset.

    1. Contact Information 258M Phone Numbers (US Phone Number Data) BatchData doesn't just stop at providing you with demographic data; we go a step further by giving you direct contact information. We offer cell phone numbers, email addresses, and mailing addresses, ensuring that you can connect with your audience on multiple fronts. This multifaceted approach allows you to engage with potential voters in a way that suits their preferences and lifestyles. Whether you want to send targeted emails, reach out through phone calls, or even send physical mailers, BatchData has you covered with both the data and the tools. (See BatchDialer for more Info).

    2. Demographic Data In addition to homeowner data and contact information, BatchData provides a treasure trove of demographic data. You can refine your campaign strategy by tailoring your messages to specific demographics, including age, gender, income, religious preferences, and more. Our demographic data helps you understand your audience better, allowing you to craft compelling messages that resonate with their values and interests.

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Statista (2024). U.S. trust in political campaigns to accurately report election information 2023 [Dataset]. https://www.statista.com/statistics/1428659/political-campaign-election-information-trust-us/
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U.S. trust in political campaigns to accurately report election information 2023

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Dataset updated
Aug 26, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Dec 9, 2023 - Dec 12, 2023
Area covered
United States
Description

Heading into a presidential election year, a December 2023 survey found that a considerable share of U.S. citizens did not place a lot of trust in political campaigns to accurately report election information. About one-third of respondents reported that they did not trust campaigns at all in their reporting, compared to seven percent that placed a great deal of trust in political campaign reporting.

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