27 datasets found
  1. o

    US App Store Public Perception Dataset

    • opendatabay.com
    .undefined
    Updated Jul 6, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Datasimple (2025). US App Store Public Perception Dataset [Dataset]. https://www.opendatabay.com/data/ai-ml/2bfe4b4d-af63-4d0c-8fb1-a41ae1b8beaa
    Explore at:
    .undefinedAvailable download formats
    Dataset updated
    Jul 6, 2025
    Dataset authored and provided by
    Datasimple
    License

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

    Area covered
    Reviews & Ratings
    Description

    This dataset provides a detailed collection of Apple App Store reviews for a selection of popular mobile applications, including Uber, Waze, Facebook, Spotify, Netflix, Pinterest, X (formerly Twitter), TikTok, Tinder, and Instagram. It offers insights into public perception and user feedback over several years. The data can be used to extract sentiments and trends, identify app versions that received the most positive or negative feedback, and apply topic modelling to pinpoint common user pain points within these applications.

    Columns

    • index: A unique identifier for each review record.
    • date: The specific date when the review was submitted.
    • pseudoUserId: A pseudonymous identifier for the user who submitted the review.
    • userName: The username of the reviewer.
    • title: The title provided by the user for their review.
    • review: The full text content of the user's review.
    • rating: The numerical rating given by the user, typically on a scale of 1 to 5.
    • isEdited: A boolean indicator showing whether the review has been edited (true) or not (false).
    • country: The country from which the review originated.
    • applicationName: The name of the application being reviewed.

    Distribution

    The dataset is typically provided in a CSV format. It contains approximately 174,508 records (rows) covering reviews for various applications. The distribution of ratings is as follows: 47,192 reviews are rated between 1.00 and 1.08, 15,217 between 1.96 and 2.04, 17,774 between 3.00 and 3.08, 18,183 between 3.96 and 4.04, and 76,143 between 4.92 and 5.00. The majority of reviews (173,886) are unedited, while 623 reviews have been marked as edited. The number of unique user IDs is 121,028, and there are 173,654 unique usernames.

    Usage

    This dataset is ideal for: * Sentiment analysis to gauge public opinion on specific app features or overall user satisfaction. * Trend analysis to observe changes in user feedback over time for different app versions. * Identifying pain points through topic modelling of review content, helping app developers prioritise improvements. * Market research to understand user needs and competitive landscapes within the mobile app ecosystem.

    Coverage

    The dataset primarily covers Apple App Store reviews from the US region. The reviews span a time period from September 2017 to November 2023.

    License

    CC0

    Who Can Use It

    • Data Scientists and Analysts: For building predictive models, performing natural language processing (NLP) tasks, and extracting actionable insights from unstructured text data.
    • App Developers and Product Managers: To understand user feedback, identify bugs, and inform future product development and updates.
    • Market Researchers: For competitive analysis, understanding user sentiment towards specific apps, and identifying market opportunities.
    • Academics and Students: For research projects related to user experience, mobile app trends, and sentiment analysis.

    Dataset Name Suggestions

    • Apple App Store User Reviews (US)
    • Mobile Application Feedback Dataset
    • App Store Review Data (2017-2023)
    • US App Store Public Perception Data

    Attributes

    Original Data Source: 🏆Uber, FB, Waze, etc US Apple App Store Reviews

  2. d

    Global Phone & Mobile Number Dataset – 34 Million Verified Contacts for B2C...

    • datarade.ai
    Updated May 21, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Webautomation (2025). Global Phone & Mobile Number Dataset – 34 Million Verified Contacts for B2C Outreach & Enrichment [Dataset]. https://datarade.ai/data-products/global-phone-mobile-number-dataset-34-million-verified-co-webautomation
    Explore at:
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Webautomation
    Area covered
    Argentina, Portugal, Trinidad and Tobago, Faroe Islands, Mongolia, Spain, Afghanistan, Cayman Islands, Bonaire, Estonia
    Description

    Unlock the power of direct engagement with our comprehensive dataset of 34 million verified global phone numbers. This dataset is curated for businesses and data-driven teams looking to enhance customer acquisition, power targeted outreach, enrich CRM records, and fuel B2C growth at scale.

    Whether you're running SMS marketing campaigns, telemarketing, building a mobile app user base, or performing identity validation, this dataset offers a scalable, compliant foundation to reach real users worldwide.

    🔍 What’s Included: ✅ 34,000,000+ mobile and landline numbers

    🌍 Global coverage, including high volumes from the US, UK, Canada, Europe, and emerging markets

    🧹 Clean, structured format (CSV/JSON/SQL) for easy integration

    📱 Includes carrier, country code, line type, and location data (where available)

    🧠 Ideal Use Cases: B2C & D2C marketing campaigns

    SMS and voice call outreach

    Lead generation & prospecting

    Mobile app user acquisition

    Identity verification & enrichment

    Market analysis and segmentation

  3. Low Code Development Market Study by General Purpose Platforms, Database...

    • factmr.com
    csv, pdf
    Updated May 10, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fact.MR (2024). Low Code Development Market Study by General Purpose Platforms, Database Application Platforms, Mobile Application Platforms, Process Application Platforms, and Others from 2024 to 2034 [Dataset]. https://www.factmr.com/report/low-code-development-market
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    May 10, 2024
    Dataset provided by
    Fact.MR
    License

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

    Time period covered
    2024 - 2034
    Area covered
    Worldwide
    Description

    The global low code development market is approximated at a value of US$ 22.5 billion in 2024 and is calculated to increase at a CAGR of 26.8% to reach US$ 241.9 billion by the end of 2034.

    Report AttributeDetail
    Low Code Development Market Size (2024E)US$ 22.5 Billion
    Forecasted Market Value (2034F)US$ 241.9 Billion
    Global Market Growth Rate (2024 to 2034)26.8% CAGR
    South Korea Market Value (2034F)US$ 13.1 Billion
    On-premise Demand Growth Rate (2024 to 2034)24.9% CAGR
    Key Companies ProfiledMendix Technology BV; Zoho Corporation Pvt. Ltd.; Kintonne; Appian Corporation; Microsoft Corporation; Salesforce.com, Inc.; NewGen; AuraQuantic; Oracle Corporation; Pegasystems Inc.; ServiceNow Inc.; Creatio; Quick Base; Betty Blocks; TrackVia; OutSystems Inc.

    Country-wise Analysis

    AttributeUnited States
    Market Value (2024E)US$ 2.5 Billion
    Growth Rate (2024 to 2034)26.7% CAGR
    Projected Value (2034F)US$ 26.7 Billion
    AttributeChina
    Market Value (2024E)US$ 2.5 Billion
    Growth Rate (2024 to 2034)26.7% CAGR
    Projected Value (2034F)US$ 27 Billion

    Category-wise Analysis

    AttributeBFSI
    Segment Value (2024E)US$ 4.5 Billion
    Growth Rate (2024 to 2034)27.8% CAGR
    Projected Value (2034F)US$ 52.2 Billion
    AttributeCloud-based Low Code Development Platforms
    Segment Value (2024E)US$ 14.6 Billion
    Growth Rate (2024 to 2034)27.7% CAGR
    Projected Value (2034F)US$ 169.3 Billion
  4. Number of smartphone users in the United States 2014-2029

    • statista.com
    • ai-chatbox.pro
    Updated May 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2025). Number of smartphone users in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/2711/us-smartphone-market/
    Explore at:
    Dataset updated
    May 5, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The number of smartphone users in the United States was forecast to continuously increase between 2024 and 2029 by in total 17.4 million users (+5.61 percent). After the fifteenth consecutive increasing year, the smartphone user base is estimated to reach 327.54 million users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Mexico and Canada.

  5. d

    Alesco Phone ID Database - Phone Data with over 860 Million Phone Number...

    • datarade.ai
    .csv, .xls, .txt
    Updated Jul 5, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alesco Data (2018). Alesco Phone ID Database - Phone Data with over 860 Million Phone Number with Carrier Name, covers 94% of the US population - available for licensing! [Dataset]. https://datarade.ai/data-products/alesco-phone-id-database-the-industry-s-largest-and-most-ac-alesco-data
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 5, 2018
    Dataset authored and provided by
    Alesco Data
    Area covered
    United States
    Description

    The Alesco Phone ID Database data ties together a consumer's true identity, and with linkage to the Alesco Power Identity Graph, we are perfectly positioned to help customers solve today's most challenging marketing, analytics, and identity resolution problems.

    Our proprietary Phone ID database combines public and private sources and validates phone numbers against current and historical data 24 hours a day, 365 days a year.

    With over 650 million unique phone numbers, device and service information, our one-of-a-kind solutions are now available for your marketing and identity resolution challenges in both B2C and B2B applications!

    • Alesco Phone ID provides more than 860 million phone numbers monthly linked to a consumer or business name and includes landline, mobile phone number, VoIP, private and business phone numbers — all permissibly obtained and privacy-compliant and linked to other Alesco data sets

    • How we do it: Alesco Phone ID is multi-sourced with daily information and delivered monthly or quarterly to clients. Our proprietary machine learning and advanced analytics processes ensure quality levels far above industry standards. Alesco processes over 100 million phone signals per day, compiling, normalizing, and standardizing phone information from 37 input sources.

    • Accuracy: Each of Alesco’s phone data sources are vetted to ensure they are authoritative, giving you confidence in the accuracy of the information. Every record is validated, verified and processed to ensure the widest, most reliable coverage combined with stunning precision.

    Ease of use: Alesco’s Phone ID Database is available as an on-premise phone database license, giving you full control to host and access this powerful resource on-site. Ongoing updates are provided on a monthly basis ensure your data is up to date.

  6. M

    Global Electrical Estimating Software Market Size, Share, Insights Report By...

    • marketresearchstore.com
    pdf
    Updated Jun 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Research Store (2025). Global Electrical Estimating Software Market Size, Share, Insights Report By Deployment Type (On-Premises, Cloud-Based), By Application (Lighting, HVAC, Power Systems, Communication Systems), By Features (Integration with BIM, Multi-User Collaboration, Mobile Access, Cost Database Integration), and By Region - Global Industry Analysis, Emerging Trends, Demand and Forecast 2024-2032 [Dataset]. https://www.marketresearchstore.com/market-insights/electrical-estimating-software-market-776938
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Market Research Store
    License

    https://www.marketresearchstore.com/privacy-statementhttps://www.marketresearchstore.com/privacy-statement

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    Global Electrical Estimating Software Market to grow from US$ 2.07 Billion in 2023 to US$ 5.60 Billion by 2032, CAGR 10.45%.

  7. Phone Number Data | 50M+ Verified Phone Numbers for Global Professionals |...

    • datarade.ai
    Updated Jan 1, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Success.ai (2018). Phone Number Data | 50M+ Verified Phone Numbers for Global Professionals | Contact Details from 170M+ Profiles - Best Price Guarantee [Dataset]. https://datarade.ai/data-products/phone-number-data-50m-verified-phone-numbers-for-global-pr-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Panama, Korea (Democratic People's Republic of), Mozambique, Mongolia, San Marino, Uganda, Timor-Leste, Tonga, Algeria, Germany
    Description

    Success.ai’s Phone Number Data offers direct access to over 50 million verified phone numbers for professionals worldwide, extracted from our expansive collection of 170 million profiles. This robust dataset includes work emails and key decision-maker profiles, making it an essential resource for companies aiming to enhance their communication strategies and outreach efficiency. Whether you're launching targeted marketing campaigns, setting up sales calls, or conducting market research, our phone number data ensures you're connected to the right professionals at the right time.

    Why Choose Success.ai’s Phone Number Data?

    Direct Communication: Reach out directly to professionals with verified phone numbers and work emails, ensuring your message gets to the right person without delay. Global Coverage: Our data spans across continents, providing phone numbers for professionals in North America, Europe, APAC, and emerging markets. Continuously Updated: We regularly refresh our dataset to maintain accuracy and relevance, reflecting changes like promotions, company moves, or industry shifts. Comprehensive Data Points:

    Verified Phone Numbers: Direct lines and mobile numbers of professionals across various industries. Work Emails: Reliable email addresses to complement phone communications. Professional Profiles: Decision-makers’ profiles including job titles, company details, and industry information. Flexible Delivery and Integration: Success.ai offers this dataset in various formats suitable for seamless integration into your CRM or sales platform. Whether you prefer API access for real-time data retrieval or static files for periodic updates, we tailor the delivery to meet your operational needs.

    Competitive Pricing with Best Price Guarantee: We provide this essential data at the most competitive prices in the industry, ensuring you receive the best value for your investment. Our best price guarantee means you can trust that you are getting the highest quality data at the lowest possible cost.

    Targeted Applications for Phone Number Data:

    Sales and Telemarketing: Enhance your telemarketing campaigns by reaching out directly to potential customers, bypassing gatekeepers. Market Research: Conduct surveys and research directly with industry professionals to gather insights that can shape your business strategy. Event Promotion: Invite prospects to webinars, conferences, and seminars directly through personal calls or SMS. Customer Support: Improve customer service by integrating accurate contact information into your support systems. Quality Assurance and Compliance:

    Data Accuracy: Our data is verified for accuracy to ensure over 99% deliverability rates. Compliance: Fully compliant with GDPR and other international data protection regulations, allowing you to use the data with confidence globally. Customization and Support:

    Tailored Data Solutions: Customize the data according to geographic, industry-specific, or job role filters to match your unique business needs. Dedicated Support: Our team is on hand to assist with data integration, usage, and any questions you may have. Start with Success.ai Today: Engage with Success.ai to leverage our Phone Number Data and connect with global professionals effectively. Schedule a consultation or request a sample through our dedicated client portal and begin transforming your outreach and communication strategies today.

    Remember, with Success.ai, you don’t just buy data; you invest in a partnership that grows with your business needs, backed by our commitment to quality and affordability.

  8. d

    Mobile Location Data | NORTH AMERICA | Mobility Data | Foot Traffic Data |...

    • datarade.ai
    .csv
    Updated May 31, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Veraset (2022). Mobile Location Data | NORTH AMERICA | Mobility Data | Foot Traffic Data | Mobile Device GPS [Dataset]. https://datarade.ai/data-products/veraset-movement-north-america-gps-foot-traffic-data-veraset
    Explore at:
    .csvAvailable download formats
    Dataset updated
    May 31, 2022
    Dataset authored and provided by
    Veraset
    Area covered
    Canada, United States
    Description

    Leverage the most reliable and compliant mobile device location/foot traffic dataset on the market. Veraset Movement (Mobile Device GPS / Foot Traffic Data) offers unparalleled insights into footfall traffic patterns across North America.

    Covering the United States, Canada and Mexico, Veraset's Mobile Location Data draws on raw GPS data from tier-1 apps, SDKs, and aggregators of mobile devices to provide customers with accurate, up-to-the-minute information on human movement. Ideal for ad tech, planning, retail analysis, and transportation logistics, Veraset's Movement data helps in shaping strategy and making data-driven decisions.

    Veraset’s North American Movement Panel: - United States: 768M Devices, 70B+ Pings - Canada: 55M+ Devices, 9B+ Pings - Mexico: 125M+ Devices, 14B+ Pings - MAU/Devices and Monthly Pings

    Uses for Veraset's Mobile Location Data: - Advertising - Ad Placement, Attribution, and Segmentation - Audience Creation/Building - Dynamic Ad Targeting - Infrastructure Plans - Route Optimization - Public Transit Optimization - Credit Card Loyalty - Competitive Analysis - Risk assessment, Underwriting, and Policy Personalization - Enrichment of Existing Datasets - Trade Area Analysis - Predictive Analytics and Trend Forecasting

  9. d

    US Consumer Demographics | Homeowners & Renters | Email & Mobile Phone |...

    • datarade.ai
    .json, .csv, .xls
    Updated Oct 18, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CompCurve (2024). US Consumer Demographics | Homeowners & Renters | Email & Mobile Phone | Bulk & Custom | 255M People [Dataset]. https://datarade.ai/data-products/compcurve-us-consumer-demographics-homeowners-renters-compcurve
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Oct 18, 2024
    Dataset authored and provided by
    CompCurve
    Area covered
    United States
    Description

    Knowing who your consumers are is essential for businesses, marketers, and researchers. This detailed demographic file offers an in-depth look at American consumers, packed with insights about personal details, household information, financial status, and lifestyle choices. Let's take a closer look at the data:

    Personal Identifiers and Basic Demographics At the heart of this dataset are the key details that make up a consumer profile:

    Unique IDs (PID, HHID) for individuals and households Full names (First, Middle, Last) and suffixes Gender and age Date of birth Complete location details (address, city, state, ZIP) These identifiers are critical for accurate marketing and form the base for deeper analysis.

    Geospatial Intelligence This file goes beyond just listing addresses by including rich geospatial data like:

    Latitude and longitude Census tract and block details Codes for Metropolitan Statistical Areas (MSA) and Core-Based Statistical Areas (CBSA) County size codes Geocoding accuracy This allows for precise geographic segmentation and localized marketing.

    Housing and Property Data The dataset covers a lot of ground when it comes to housing, providing valuable insights for real estate professionals, lenders, and home service providers:

    Homeownership status Dwelling type (single-family, multi-family, etc.) Property values (market, assessed, and appraised) Year built and square footage Room count, amenities like fireplaces or pools, and building quality This data is crucial for targeting homeowners with products and services like refinancing or home improvement offers.

    Wealth and Financial Data For a deeper dive into consumer wealth, the file includes:

    Estimated household income Wealth scores Credit card usage Mortgage info (loan amounts, rates, terms) Home equity estimates and investment property ownership These indicators are invaluable for financial services, luxury brands, and fundraising organizations looking to reach affluent individuals.

    Lifestyle and Interests One of the most useful features of the dataset is its extensive lifestyle segmentation:

    Hobbies and interests (e.g., gardening, travel, sports) Book preferences, magazine subscriptions Outdoor activities (camping, fishing, hunting) Pet ownership, tech usage, political views, and religious affiliations This data is perfect for crafting personalized marketing campaigns and developing products that align with specific consumer preferences.

    Consumer Behavior and Purchase Habits The file also sheds light on how consumers behave and shop:

    Online and catalog shopping preferences Gift-giving tendencies, presence of children, vehicle ownership Media consumption (TV, radio, internet) Retailers and e-commerce businesses will find this behavioral data especially useful for tailoring their outreach.

    Demographic Clusters and Segmentation Pre-built segments like:

    Household, neighborhood, family, and digital clusters Generational and lifestage groups make it easier to quickly target specific demographics, streamlining the process for market analysis and campaign planning.

    Ethnicity and Language Preferences In today's multicultural market, knowing your audience's cultural background is key. The file includes:

    Ethnicity codes and language preferences Flags for Hispanic/Spanish-speaking households This helps ensure culturally relevant and sensitive communication.

    Education and Occupation Data The dataset also tracks education and career info:

    Education level and occupation codes Home-based business indicators This data is essential for B2B marketers, recruitment agencies, and education-focused campaigns.

    Digital and Social Media Habits With everyone online, digital behavior insights are a must:

    Internet, TV, radio, and magazine usage Social media platform engagement (Facebook, Instagram, LinkedIn) Streaming subscriptions (Netflix, Hulu) This data helps marketers, app developers, and social media managers connect with their audience in the digital space.

    Political and Charitable Tendencies For political campaigns or non-profits, this dataset offers:

    Political affiliations and outlook Charitable donation history Volunteer activities These insights are perfect for cause-related marketing and targeted political outreach.

    Neighborhood Characteristics By incorporating census data, the file provides a bigger picture of the consumer's environment:

    Population density, racial composition, and age distribution Housing occupancy and ownership rates This offers important context for understanding the demographic landscape.

    Predictive Consumer Indexes The dataset includes forward-looking indicators in categories like:

    Fashion, automotive, and beauty products Health, home decor, pet products, sports, and travel These predictive insights help businesses anticipate consumer trends and needs.

    Contact Information Finally, the file includes ke...

  10. F

    Households; Owner-Occupied Real Estate Including Vacant Land and Mobile...

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Households; Owner-Occupied Real Estate Including Vacant Land and Mobile Homes at Market Value, Market Value Levels [Dataset]. https://fred.stlouisfed.org/series/HOOREVLMHMV
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

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

    Description

    Graph and download economic data for Households; Owner-Occupied Real Estate Including Vacant Land and Mobile Homes at Market Value, Market Value Levels (HOOREVLMHMV) from Q4 1945 to Q1 2025 about , and USA.

  11. a

    B2B Contact Data | SaaS TAM B2B Professional Contact Data Set | B2B Contact...

    • data.allforce.io
    Updated Jun 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Allforce (formerly Solution Publishing) (2025). B2B Contact Data | SaaS TAM B2B Professional Contact Data Set | B2B Contact Data | [Dataset]. https://data.allforce.io/products/b2b-contact-data-saas-tam-b2b-professional-contact-data-set-allforce-formerly-solution-p
    Explore at:
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Allforce (formerly Solution Publishing)
    Area covered
    United States, Canada
    Description
    • Customized Definition of Your SaaS TAM
    • Monthly 360' Visibility of your TAM
    • Monthly Feed of all Relevant US Contacts within your TAM
    • Email, Postal, Phone, Programmatic Ad Data included
    • Analysis, Email Marketing, Tele-Outreach, Ongoing Market Analysis in your TAM
  12. Mobile Wireless Providers Market Share in the US, 2016

    • reportlinker.com
    Updated Apr 11, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ReportLinker (2024). Mobile Wireless Providers Market Share in the US, 2016 [Dataset]. https://www.reportlinker.com/dataset/59f2e6f51ffb17bec8aa69c95065d944837626ea
    Explore at:
    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    United States
    Description

    Mobile Wireless Providers Market Share in the US, 2016 Discover more data with ReportLinker!

  13. d

    Google Data – Custom Google Maps Dataset with US Business Ratings, Locations...

    • datarade.ai
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Canaria Inc., Google Data – Custom Google Maps Dataset with US Business Ratings, Locations & Reviews • Weekly Updated Google Data for Lead Scoring & Market Mapping [Dataset]. https://datarade.ai/data-products/canaria-google-maps-company-profile-data-30m-global-goog-canaria-inc
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    Canaria Inc.
    Area covered
    United States
    Description

    📊 Google Data for Market Intelligence, Business Validation & Lead Enrichment Google Data is one of the most valuable sources of location-based business intelligence available today. At Canaria, we’ve built a robust, scalable system for extracting, enriching, and delivering verified business data from Google Maps—turning raw location profiles into high-resolution, actionable insights.

    Our Google Maps Company Profile Data includes structured metadata on businesses across the U.S., such as company names, standardized addresses, geographic coordinates, phone numbers, websites, business categories, open hours, diversity and ownership tags, star ratings, and detailed review distributions. Whether you're modeling a market, identifying leads, enriching a CRM, or evaluating risk, our Google Data gives your team an accurate, up-to-date view of business activity at the local level.

    This dataset is updated weekly, and is fully customizable—allowing you to pull exactly what you need, whether you're targeting a specific geography, industry segment, review range, or open-hour window.

    🌎 What Makes Canaria’s Google Data Unique? • Location Precision – Every business record is enriched with latitude/longitude, ZIP code, and Google Plus Code to ensure exact geolocation • Reputation Signals – Review tags, star ratings, and review counts are included to allow brand sentiment scoring and risk monitoring • Diversity & Ownership Tags – Capture public-facing declarations such as “women-owned” or “Asian-owned” for DEI, ESG, and compliance applications • Contact Readiness – Clean, standardized phone numbers and domains help teams route leads to sales, support, or customer success • Operational Visibility – Up-to-date open hours, categories, and branch information help validate which locations are active and when

    Our data is built to be matched, integrated, and analyzed—and is trusted by clients in financial services, go-to-market strategy, HR tech, and analytics platforms.

    🧠 What This Google Data Solves Canaria Google Data answers critical operational, market, and GTM questions like:

    • Which businesses are actively operating in my target region or category? • Which leads are real, verified, and tied to an actual physical branch? • How can I detect underperforming companies based on review sentiment? • Where should I expand, prospect, or invest based on geographic presence? • How can I enhance my CRM, enrichment model, or targeting strategy using location-based data?

    ✅ Key Use Cases for Google Maps Business Data Our clients leverage Google Data across a wide spectrum of industries and functions. Here are the top use cases:

    🔍 Lead Scoring & Business Validation • Confirm the legitimacy and physical presence of potential customers, partners, or competitors using verified Google Data • Rank leads based on proximity, star ratings, review volume, or completeness of listing • Filter spammy or low-quality leads using negative review keywords and tag summaries • Validate ABM targets before outreach using enriched business details like phone, website, and hours

    📍 Location Intelligence & Market Mapping • Visualize company distributions across geographies using Google Maps coordinates and ZIPs • Understand market saturation, density, and white space across business categories • Identify underserved ZIP codes or local business deserts • Track presence and expansion across regional clusters and industry corridors

    ⚠️ Company Risk & Brand Reputation Scoring • Monitor Google Maps reviews for sentiment signals such as “scam”, “spam”, “calls”, or service complaints • Detect risk-prone or underperforming locations using star rating distributions and review counts • Evaluate consistency of open hours, contact numbers, and categories for signs of listing accuracy or abandonment • Integrate risk flags into investment models, KYC/KYB platforms, or internal alerting systems

    🗃️ CRM & RevOps Enrichment • Enrich CRM or lead databases with phone numbers, web domains, physical addresses, and geolocation from Google Data • Use business category classification for segmentation and routing • Detect duplicates or outdated data by matching your records with the most current Google listing • Enable advanced workflows like field-based rep routing, localized campaign assignment, or automated ABM triggers

    📈 Business Intelligence & Strategic Planning • Build dashboards powered by Google Maps data, including business counts, category distributions, and review activity • Overlay business presence with population, workforce, or customer base for location planning • Benchmark performance across cities, regions, or market verticals • Track mobility and change by comparing past and current Google Maps metadata

    💼 DEI, ESG & Ownership Profiling • Identify minority-owned, women-owned, or other diversity-flagged companies using Google Data ownership attributes • Build datasets aligned with supplier diversity mandates or ESG investment strategies • Segment location insi...

  14. Success.ai | | US Premium B2B Emails & Phone Numbers Dataset - APIs and flat...

    • datarade.ai
    Updated Oct 12, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Success.ai (2024). Success.ai | | US Premium B2B Emails & Phone Numbers Dataset - APIs and flat files available – 170M+, Verified Profiles - Best Price Guarantee [Dataset]. https://datarade.ai/data-products/success-ai-us-premium-b2b-emails-phone-numbers-dataset-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 12, 2024
    Dataset provided by
    Area covered
    United States
    Description

    Success.ai offers a comprehensive, enterprise-ready B2B leads data solution, ideal for businesses seeking access to over 150 million verified employee profiles and 170 million work emails. Our data empowers organizations across industries to target key decision-makers, optimize recruitment, and fuel B2B marketing efforts. Whether you're looking for UK B2B data, B2B marketing data, or global B2B contact data, Success.ai provides the insights you need with pinpoint accuracy.

    Tailored for B2B Sales, Marketing, Recruitment and more: Our B2B contact data and B2B email data solutions are designed to enhance your lead generation, sales, and recruitment efforts. Build hyper-targeted lists based on job title, industry, seniority, and geographic location. Whether you’re reaching mid-level professionals or C-suite executives, Success.ai delivers the data you need to connect with the right people.

    API Features:

    • Real-Time Updates: Our APIs deliver real-time updates, ensuring that the contact data your business relies on is always current and accurate.
    • High Volume Handling: Designed to support up to 860k API calls per day, our system is built for scalability and responsiveness, catering to enterprises of all sizes.
    • Flexible Integration: Easily integrate with CRM systems, marketing automation tools, and other enterprise applications to streamline your workflows and enhance productivity.

    Key Categories Served: B2B sales leads – Identify decision-makers in key industries, B2B marketing data – Target professionals for your marketing campaigns, Recruitment data – Source top talent efficiently and reduce hiring times, CRM enrichment – Update and enhance your CRM with verified, updated data, Global reach – Coverage across 195 countries, including the United States, United Kingdom, Germany, India, Singapore, and more.

    Global Coverage with Real-Time Accuracy: Success.ai’s dataset spans a wide range of industries such as technology, finance, healthcare, and manufacturing. With continuous real-time updates, your team can rely on the most accurate data available: 150M+ Employee Profiles: Access professional profiles worldwide with insights including full name, job title, seniority, and industry. 170M Verified Work Emails: Reach decision-makers directly with verified work emails, available across industries and geographies, including Singapore and UK B2B data. GDPR-Compliant: Our data is fully compliant with GDPR and other global privacy regulations, ensuring safe and legal use of B2B marketing data.

    Key Data Points for Every Employee Profile: Every profile in Success.ai’s database includes over 20 critical data points, providing the information needed to power B2B sales and marketing campaigns: Full Name, Job Title, Company, Work Email, Location, Phone Number, LinkedIn Profile, Experience, Education, Technographic Data, Languages, Certifications, Industry, Publications & Awards.

    Use Cases Across Industries: Success.ai’s B2B data solution is incredibly versatile and can support various enterprise use cases, including: B2B Marketing Campaigns: Reach high-value professionals in industries such as technology, finance, and healthcare. Enterprise Sales Outreach: Build targeted B2B contact lists to improve sales efforts and increase conversions. Talent Acquisition: Accelerate hiring by sourcing top talent with accurate and updated employee data, filtered by job title, industry, and location. Market Research: Gain insights into employment trends and company profiles to enrich market research. CRM Data Enrichment: Ensure your CRM stays accurate by integrating updated B2B contact data. Event Targeting: Create lists for webinars, conferences, and product launches by targeting professionals in key industries.

    Use Cases for Success.ai's Contact Data - Targeted B2B Marketing: Create precise campaigns by targeting key professionals in industries like tech and finance. - Sales Outreach: Build focused sales lists of decision-makers and C-suite executives for faster deal cycles. - Recruiting Top Talent: Easily find and hire qualified professionals with updated employee profiles. - CRM Enrichment: Keep your CRM current with verified, accurate employee data. - Event Targeting: Create attendee lists for events by targeting relevant professionals in key sectors. - Market Research: Gain insights into employment trends and company profiles for better business decisions. - Executive Search: Source senior executives and leaders for headhunting and recruitment. - Partnership Building: Find the right companies and key people to develop strategic partnerships.

    Why Choose Success.ai’s Employee Data? Success.ai is the top choice for enterprises looking for comprehensive and affordable B2B data solutions. Here’s why: Unmatched Accuracy: Our AI-powered validation process ensures 99% accuracy across all data points, resulting in higher engagement and fewer bounces. Global Scale: With 150M+ employee profiles and 170M veri...

  15. d

    Mobility Data & Insights | Mobile Location Data | 18.8M+ Locations in the US...

    • datarade.ai
    .json, .csv, .xls
    Updated Oct 7, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Echo Analytics (2022). Mobility Data & Insights | Mobile Location Data | 18.8M+ Locations in the US [Dataset]. https://datarade.ai/data-products/mobility-insights-gdpr-compliant-u-s-a-echo-analytics
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Oct 7, 2022
    Dataset authored and provided by
    Echo Analytics
    Area covered
    United States
    Description

    Echo’s Mobility dataset maps movement trends across 18.8M+ POIs in the U.S., offering unmatched visibility into how people interact with physical spaces over time.

    With GDPR-compliant, non-PII data, this dataset links visits and visitors to precise locations — helping brands uncover foot traffic trends, brand loyalty, and cross-visitation behavior for smarter strategy and planning.

    Key data points include: - Visit counts, unique visitors, dwell time - Frequency and cross-visitation patterns - Monthly or quarterly updates - Optional custom Activity Analyses - Non-PII, fully GDPR-compliant

    Ideal for market research, retail planning, and customer journey modeling, this U.S.-focused dataset helps companies unlock actionable insights from real-world mobility patterns.

  16. d

    Location Data | GLOBAL HISTORICAL (2018 - Present) | Precise Mobile Location...

    • datarade.ai
    .csv
    Updated May 31, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Veraset (2022). Location Data | GLOBAL HISTORICAL (2018 - Present) | Precise Mobile Location Data [Dataset]. https://datarade.ai/data-products/historical-geospatial-movement-data-170-countries-veraset
    Explore at:
    .csvAvailable download formats
    Dataset updated
    May 31, 2022
    Dataset authored and provided by
    Veraset
    Area covered
    Canada, United States
    Description

    Veraset 'Movement' (GPS Footfall Data, from a mobile device) offers unparalleled real-time insights into footfall traffic patterns globally covering the US and 170 other countries from 2018 to the present day.

    This dataset covers over 170+ countries and comprises billions of pseudonymous GPS signals daily, creating one of the cleanest Mobile Location Datasets available.

    Veraset provides the most reliable, compliant, commercially available Location Data dataset on the market, drawing on raw GPS data from tier-1 apps, SDKs, and aggregators of mobile devices to provide customers with accurate, up-to-the-minute information on human movement.

    Prioritizing compliance and privacy, it serves as a foundation for advanced analytics and strategic planning across various industries.

    Our work has been used by Fortune 500 companies, leading institutions, and top brands that need reliable geospatial data.

    Veraset’s Movement (raw Location Data) product is the best choice for anyone building products or models powered by historical raw location data.

    Uses for Location Data: - Infrastructure Planning - Route Optimization and Human Migration Patterning - Public Transit Optimization - Placement and Targeting - Advertising and Attribution - Segmentation and Audience Building - Competitive Analysis

    For up-to-date schema, visit: https://www.veraset.com/docs/movement

  17. Commercial Real Estate Data | Global Real Estate Professionals | Work...

    • datarade.ai
    Updated Oct 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Success.ai (2021). Commercial Real Estate Data | Global Real Estate Professionals | Work Emails, Phone Numbers & Verified Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-global-real-estate-professional-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Netherlands, Marshall Islands, Burkina Faso, El Salvador, Guatemala, Bolivia (Plurinational State of), Comoros, Korea (Republic of), Sierra Leone, Hong Kong
    Description

    Success.ai’s Commercial Real Estate Data and B2B Contact Data for Global Real Estate Professionals is a comprehensive dataset designed to connect businesses with industry leaders in real estate worldwide. With over 170M verified profiles, including work emails and direct phone numbers, this solution ensures precise outreach to agents, brokers, property developers, and key decision-makers in the real estate sector.

    Utilizing advanced AI-driven validation, our data is continuously updated to maintain 99% accuracy, offering actionable insights that empower targeted marketing, streamlined sales strategies, and efficient recruitment efforts. Whether you’re engaging with top real estate executives or sourcing local property experts, Success.ai provides reliable and compliant data tailored to your needs.

    Key Features of Success.ai’s Real Estate Professional Contact Data

    • Comprehensive Industry Coverage Gain direct access to verified profiles of real estate professionals across the globe, including:
    1. Real Estate Agents: Professionals facilitating property sales and purchases.
    2. Brokers: Key intermediaries managing transactions between buyers and sellers.
    3. Property Developers: Decision-makers shaping residential, commercial, and industrial projects.
    4. Real Estate Executives: Leaders overseeing multi-regional operations and business strategies.
    5. Architects & Consultants: Experts driving design and project feasibility.
    • Verified and Continuously Updated Data

    AI-Powered Validation: All profiles are verified using cutting-edge AI to ensure up-to-date accuracy. Real-Time Updates: Our database is refreshed continuously to reflect the most current information. Global Compliance: Fully aligned with GDPR, CCPA, and other regional regulations for ethical data use.

    • Customizable Data Delivery Tailor your data access to align with your operational goals:

    API Integration: Directly integrate data into your CRM or project management systems for seamless workflows. Custom Flat Files: Receive detailed datasets customized to your specifications, ready for immediate application.

    Why Choose Success.ai for Real Estate Contact Data?

    • Best Price Guarantee Enjoy competitive pricing that delivers exceptional value for verified, comprehensive contact data.

    • Precision Targeting for Real Estate Professionals Our dataset equips you to connect directly with real estate decision-makers, minimizing misdirected efforts and improving ROI.

    • Strategic Use Cases

      Lead Generation: Target qualified real estate agents and brokers to expand your network. Sales Outreach: Engage with property developers and executives to close high-value deals. Marketing Campaigns: Drive targeted campaigns tailored to real estate markets and demographics. Recruitment: Identify and attract top talent in real estate for your growing team. Market Research: Access firmographic and demographic data for in-depth industry analysis.

    • Data Highlights 170M+ Verified Professional Profiles 50M Work Emails 30M Company Profiles 700M Global Professional Profiles

    • Powerful APIs for Enhanced Functionality

      Enrichment API Ensure your contact database remains relevant and up-to-date with real-time enrichment. Ideal for businesses seeking to maintain competitive agility in dynamic markets.

    Lead Generation API Boost your lead generation with verified contact details for real estate professionals, supporting up to 860,000 API calls per day for robust scalability.

    • Use Cases for Real Estate Contact Data
    1. Targeted Outreach for New Projects Connect with property developers and brokers to pitch your services or collaborate on upcoming projects.

    2. Real Estate Marketing Campaigns Execute personalized marketing campaigns targeting agents and clients in residential, commercial, or industrial sectors.

    3. Enhanced Sales Strategies Shorten sales cycles by directly engaging with decision-makers and key stakeholders.

    4. Recruitment and Talent Acquisition Access profiles of highly skilled professionals to strengthen your real estate team.

    5. Market Analysis and Intelligence Leverage firmographic and demographic insights to identify trends and optimize business strategies.

    • What Makes Us Stand Out? >> Unmatched Data Accuracy: Our AI-driven validation ensures 99% accuracy for all contact details. >> Comprehensive Global Reach: Covering professionals across diverse real estate markets worldwide. >> Flexible Delivery Options: Access data in formats that seamlessly fit your existing systems. >> Ethical and Compliant Data Practices: Adherence to global standards for secure and responsible data use.

    Success.ai’s B2B Contact Data for Global Real Estate Professionals delivers the tools you need to connect with the right people at the right time, driving efficiency and success in your business operations. From agents and brokers to property developers and executiv...

  18. d

    Residential Real Estate Data via API | USA Coverage | 74% Right Party...

    • datarade.ai
    Updated Mar 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    BatchService (2024). Residential Real Estate Data via API | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/batchdata-property-search-lookup-api-real-estate-and-homeow-batchservice
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Mar 13, 2024
    Dataset authored and provided by
    BatchService
    Area covered
    United States
    Description

    In the realm of real estate data solutions, BatchData Property Data Search API emerges as a technical marvel, tailored for product and engineering leadership seeking robust and scalable solutions. This purpose-built API seamlessly integrates diverse datasets, offering over 600 data points, to provide a holistic view of property characteristics, valuation, homeowner information, listing data, county assessor details, photos, and foreclosure information. With state-of-the-art infrastructure and performance features, BatchData sets the standard for efficiency, reliability, and developer satisfaction.

    Unraveling the Technical Prowess of BatchData Property Data Search API:

    State-of-the-Art Infrastructure: At the heart of BatchData lies a state-of-the-art infrastructure that leverages the latest technologies available. Our systems are engineered to handle increased loads and growing datasets with ease, ensuring optimal performance without significant degradation. This commitment to technological advancement ensures that our data infrastructure and API systems operate at peak efficiency, even in the face of evolving demands and complexities.

    Integration Capabilities: BatchData boasts integration capabilities that are second to none, thanks to our innovative data lake house architecture. This architecture empowers us to seamlessly integrate our data with any data platforms or pipelines in a matter of minutes. Whether it's connecting with existing data systems, third-party applications, or internal pipelines, our API offers limitless integration possibilities, enabling product and engineering teams to unlock the full potential of property data with minimal effort.

    Developer Documentation: One of the hallmarks of BatchData is our clear and comprehensive developer documentation, which developers love. We understand the importance of providing developers with the resources they need to integrate our API seamlessly into their projects. Our documentation offers detailed guides, code samples, API reference materials, and best practices, empowering developers to hit the ground running and leverage the full capabilities of BatchData with confidence.

    Performance Features: BatchData Property Search API is engineered for performance, delivering lightning-fast response times and seamless scalability. Our API is designed to efficiently handle increased loads and growing datasets, ensuring that users experience minimal latency and maximum reliability. Whether it's retrieving property data, conducting complex queries, or accessing real-time updates, our API delivers exceptional performance, empowering product and engineering teams to build high-performance applications and systems with ease. BatchData's APIs work for both residential real estate data and commercial real estate data.

    Common Use Cases for BatchData Property Data Search API:

    Powering Data-Driven Applications: Product and engineering teams can leverage BatchData Property Data Search API to power data-driven applications tailored for the real estate industry. Whether it's building real estate websites, mobile applications, or internal tools, our API offers comprehensive property data that can drive informed decision-making, enhance user experiences, and streamline operations.

    Enabling Advanced Analytics: With BatchData, product and engineering leaders can unlock the power of advanced analytics and reporting capabilities. Our API provides access to rich property data, enabling analysts and researchers to uncover insights, identify trends, and make data-driven recommendations with confidence. Whether it's analyzing market trends, evaluating investment opportunities, or conducting competitive analysis, BatchData empowers teams to derive actionable insights from vast property datasets.

    Optimizing Data Infrastructure: BatchData Property Data Search API can play a pivotal role in optimizing data infrastructure within organizations. By seamlessly integrating our API with existing data platforms and pipelines, product and engineering teams can streamline data workflows, improve data accessibility, and enhance overall data infrastructure efficiency. Our API's integration capabilities and performance features ensure that organizations can leverage property data seamlessly across their data ecosystem, driving operational excellence and innovation.

    Conclusion: BatchData Property Data Search API stands at the forefront of real estate data solutions, offering product and engineering leaders a comprehensive, scalable, and high-performance API for accessing property data. With state-of-the-art infrastructure, seamless integration capabilities, clear developer documentation, and exceptional performance features, BatchData empowers teams to build data-driven applications, optimize data infrastructure, and unlock actionable insights with ease. As the real estate industry continues to evolve, BatchData remains committed to delivering innovative sol...

  19. d

    Company IP Data | 3M+ US Domains to IP Connections | Company Domain to IP...

    • datarade.ai
    .json, .csv, .xls
    Updated Apr 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Allforce (2024). Company IP Data | 3M+ US Domains to IP Connections | Company Domain to IP Address Linkage Database | Monthly Feed [Dataset]. https://datarade.ai/data-products/company-domain-to-ip-address-linkage-database-company-ip-da-solution-publishing
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Apr 1, 2024
    Dataset authored and provided by
    Allforce
    Area covered
    United States of America
    Description

    Company Domain to IP Address Linkage Database | Company IP Data | Monthly Feed | 3M+ Domains to IP Connections

    Elevate your business strategy with our premier "Company Domain to IP Address Linkage Database," a meticulously crafted dataset that connects over 3 million company domains directly to their corresponding IP addresses. Updated monthly, this essential resource is designed for organizations seeking to enhance their cybersecurity measures, refine digital marketing strategies, and streamline B2B communications with unparalleled accuracy and efficiency.

    Optional Add-On: MAID to Business Domains Dataset Enhance your dataset with our optional add-on, the "MAID to Business Domains Dataset." This valuable extension provides a linkage between Mobile Advertising IDs (MAIDs) and company domains, offering a deeper layer of insight for targeted marketing and precise audience engagement strategies. Ideal for businesses looking to leverage mobile data for enhanced targeting and analytics.

    Key Features:

    Comprehensive Coverage: Gain access to a vast database of over 3 million company domains linked to their respective IP addresses, covering a wide spectrum of industries and global regions. Premium Data Quality: Enjoy the highest standards of data integrity with our dataset, meticulously maintained and regularly refreshed to ensure the most accurate and up-to-date information. Seamless Integration: Effortlessly integrate our database into your existing tech stack, enhancing your cybersecurity, CRM, and marketing automation tools with rich, actionable data.

    Benefits:

    Enhanced Digital Marketing: Use precise domain-to-IP mappings to refine your digital marketing efforts, ensuring content and ads reach the right corporate audiences, significantly boosting B2B engagement. Robust Cybersecurity: Strengthen your cybersecurity framework by utilizing detailed domain and IP information for improved network monitoring and threat detection. Strategic Insights: Draw on our extensive dataset for market analysis, competitor tracking, and customer behavior insights, informing strategic decisions across your organization. Efficient B2B Communication: Identify and engage corporate networks more effectively, optimizing B2B outreach and operational efficiency. Applications:

    Targeted B2B Engagement: Equip your marketing and sales teams with detailed data, allowing for highly targeted content delivery and advertising to specific corporate networks. Advanced Security Measures: Leverage the dataset for comprehensive network monitoring and access management, enhancing your cybersecurity posture. Informed Strategic Planning: Utilize deep insights from domain and IP linkages for market analysis and business intelligence, driving forward-looking strategies. Operational Excellence: Streamline the identification and engagement process with corporate networks, improving efficiency and response rates in B2B communication. The "Company Domain to IP Address Linkage Database" is a foundational tool for any business aiming to excel in the digital age, offering critical data for improving digital marketing, cybersecurity, and strategic planning. Available exclusively on Datarade.ai, this database stands at the forefront of digital innovation.

    Consider enhancing your strategic toolkit further with our "MAID to Business Domains Dataset" add-on, a powerful resource for businesses focused on maximizing the impact of mobile marketing and engagement.

  20. d

    B2B Data Full Record Purchase | 80MM Total Universe B2B Contact Data Mailing...

    • datarade.ai
    .xml, .csv, .xls
    Updated Feb 22, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    McGRAW (2025). B2B Data Full Record Purchase | 80MM Total Universe B2B Contact Data Mailing List [Dataset]. https://datarade.ai/data-products/b2b-data-full-record-purchase-80mm-total-universe-b2b-conta-mcgraw
    Explore at:
    .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    McGRAW
    Area covered
    Namibia, Anguilla, Burkina Faso, United Arab Emirates, Swaziland, Guinea-Bissau, Uzbekistan, Niue, Myanmar, Zimbabwe
    Description

    McGRAW’s US B2B Data: Accurate, Reliable, and Market-Ready

    Our B2B database delivers over 80 million verified contacts with 95%+ accuracy. Supported by in-house call centers, social media validation, and market research teams, we ensure that every record is fresh, reliable, and optimized for B2B outreach, lead generation, and advanced market insights.

    Our B2B database is one of the most accurate and extensive datasets available, covering over 91 million business executives with a 95%+ accuracy guarantee. Designed for businesses that require the highest quality data, this database provides detailed, validated, and continuously updated information on decision-makers and industry influencers worldwide.

    The B2B Database is meticulously curated to meet the needs of businesses seeking precise and actionable data. Our datasets are not only extensive but also rigorously validated and updated to ensure the highest level of accuracy and reliability.

    Key Data Attributes:

    • Personal Identifiers: First name, last name
    • Professional Details: Title, direct dial numbers
    • Business Information: Company name, address, phone number, fax number, website
    • Company Metrics: Employee size, sales volume
    • Technology Insights: Information on hardware and software usage across organizations
    • Social Media Connections: LinkedIn, Facebook, and direct dial contacts
    • Corporate Insights: Detailed company profiles

    Unlike many providers that rely solely on third-party vendor files, McGRAW takes a hands-on approach to data validation. Our dedicated nearshore and offshore call centers engage directly with data before each delivery to ensure every record meets our high standards of accuracy and relevance.

    In addition, our teams of social media validators, market researchers, and digital marketing specialists continuously refine and update records to maintain data freshness. Each dataset undergoes multiple verification checks using internal validation processes and third-party tools such as Fresh Address, BriteVerify, and Impressionwise to guarantee the highest data quality.

    Additional Data Solutions and Services

    • Data Enhancement: Email and LinkedIn appends, contact discovery across global roles and functions

    • Business Verification: Real-time validation through call centers, social media, and market research

    • Technology Insights: Detailed IT infrastructure reports, spending trends, and executive insights

    • Healthcare Database: Access to over 80 million healthcare professionals and industry leaders

    • Global Reach: US and international GDPR-compliant datasets, complete with email, postal, and phone contacts

    • Email Broadcast Services: Full-service campaign execution, from testing to live deployment, with tracking of key engagement metrics such as opens and clicks

    Many B2B data providers rely on vendor-contributed files without conducting the rigorous validation necessary to ensure accuracy. This often results in outdated and unreliable data that fails to meet the demands of a fast-moving business environment.

    McGRAW takes a different approach. By owning and operating dedicated call centers, we directly verify and validate our data before delivery, ensuring that every record is up-to-date and ready to drive business success.

    Through continuous validation, social media verification, and real-time updates, McGRAW provides a high-quality, dependable database for businesses that prioritize data integrity and performance. Our Global Business Executives database is the ideal solution for companies that need accurate, relevant, and market-ready data to fuel their strategies.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Datasimple (2025). US App Store Public Perception Dataset [Dataset]. https://www.opendatabay.com/data/ai-ml/2bfe4b4d-af63-4d0c-8fb1-a41ae1b8beaa

US App Store Public Perception Dataset

Explore at:
.undefinedAvailable download formats
Dataset updated
Jul 6, 2025
Dataset authored and provided by
Datasimple
License

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

Area covered
Reviews & Ratings
Description

This dataset provides a detailed collection of Apple App Store reviews for a selection of popular mobile applications, including Uber, Waze, Facebook, Spotify, Netflix, Pinterest, X (formerly Twitter), TikTok, Tinder, and Instagram. It offers insights into public perception and user feedback over several years. The data can be used to extract sentiments and trends, identify app versions that received the most positive or negative feedback, and apply topic modelling to pinpoint common user pain points within these applications.

Columns

  • index: A unique identifier for each review record.
  • date: The specific date when the review was submitted.
  • pseudoUserId: A pseudonymous identifier for the user who submitted the review.
  • userName: The username of the reviewer.
  • title: The title provided by the user for their review.
  • review: The full text content of the user's review.
  • rating: The numerical rating given by the user, typically on a scale of 1 to 5.
  • isEdited: A boolean indicator showing whether the review has been edited (true) or not (false).
  • country: The country from which the review originated.
  • applicationName: The name of the application being reviewed.

Distribution

The dataset is typically provided in a CSV format. It contains approximately 174,508 records (rows) covering reviews for various applications. The distribution of ratings is as follows: 47,192 reviews are rated between 1.00 and 1.08, 15,217 between 1.96 and 2.04, 17,774 between 3.00 and 3.08, 18,183 between 3.96 and 4.04, and 76,143 between 4.92 and 5.00. The majority of reviews (173,886) are unedited, while 623 reviews have been marked as edited. The number of unique user IDs is 121,028, and there are 173,654 unique usernames.

Usage

This dataset is ideal for: * Sentiment analysis to gauge public opinion on specific app features or overall user satisfaction. * Trend analysis to observe changes in user feedback over time for different app versions. * Identifying pain points through topic modelling of review content, helping app developers prioritise improvements. * Market research to understand user needs and competitive landscapes within the mobile app ecosystem.

Coverage

The dataset primarily covers Apple App Store reviews from the US region. The reviews span a time period from September 2017 to November 2023.

License

CC0

Who Can Use It

  • Data Scientists and Analysts: For building predictive models, performing natural language processing (NLP) tasks, and extracting actionable insights from unstructured text data.
  • App Developers and Product Managers: To understand user feedback, identify bugs, and inform future product development and updates.
  • Market Researchers: For competitive analysis, understanding user sentiment towards specific apps, and identifying market opportunities.
  • Academics and Students: For research projects related to user experience, mobile app trends, and sentiment analysis.

Dataset Name Suggestions

  • Apple App Store User Reviews (US)
  • Mobile Application Feedback Dataset
  • App Store Review Data (2017-2023)
  • US App Store Public Perception Data

Attributes

Original Data Source: 🏆Uber, FB, Waze, etc US Apple App Store Reviews

Search
Clear search
Close search
Google apps
Main menu