100+ datasets found
  1. d

    Web Scraping Data | Key Customers Domain Name Data | Scanning Logos found on...

    • datarade.ai
    .json
    Updated Jun 27, 2024
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    PredictLeads (2024). Web Scraping Data | Key Customers Domain Name Data | Scanning Logos found on Websites | 248M+ Records [Dataset]. https://datarade.ai/data-products/predictleads-web-scraping-data-domain-name-data-business-predictleads
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset authored and provided by
    PredictLeads
    Area covered
    Nigeria, Svalbard and Jan Mayen, Curaçao, Colombia, Malaysia, Burkina Faso, Turkmenistan, Benin, Oman, Northern Mariana Islands
    Description

    PredictLeads Key Customers Data provides essential business intelligence by analyzing company relationships, uncovering vendor partnerships, client connections, and strategic affiliations through advanced web scraping and logo recognition. This dataset captures business interactions directly from company websites, offering valuable insights into market positioning, competitive landscapes, and growth opportunities.

    Use Cases:

    ✅ Account Profiling – Gain a 360-degree customer view by mapping company relationships and partnerships. ✅ Competitive Intelligence – Track vendor-client connections and business affiliations to identify key industry players. ✅ B2B Lead Targeting – Prioritize leads based on their business relationships, improving sales and marketing efficiency. ✅ CRM Data Enrichment – Enhance company records with detailed key customer data, ensuring data accuracy. ✅ Market Research – Identify emerging trends and industry networks to optimize strategic planning.

    Key API Attributes:

    • id (string, UUID) – Unique identifier for the company connection.
    • category (string) – Type of relationship (e.g., vendor, client, partner).
    • source_category (string) – Where the connection was detected (e.g., partner page, case study).
    • source_url (string, URL) – Website where the relationship was found.
    • individual_source_url (string, URL) – Specific page confirming the connection.
    • context (string) – Extracted description of the business relationship (e.g., "Company X - partners with Company Y to enhance payment processing").
    • first_seen_at (ISO 8601 date-time) – Date the connection was first detected.
    • last_seen_at (ISO 8601 date-time) – Most recent confirmation of the relationship.
    • company1 & company2 (objects) – Details of the two connected companies, including:
    • - domain (string) – Company website domain.
    • - company_name (string) – Official company name.
    • - ticker (string, nullable) – Stock ticker, if available.

    📌 PredictLeads Key Customers Data is an indispensable tool for B2B sales, marketing, and market intelligence teams, providing actionable relationship insights to drive targeted outreach, competitor tracking, and strategic decision-making.

    PredictLeads Docs: https://docs.predictleads.com/v3/guide/connections_dataset

  2. Website Statistics

    • data.wu.ac.at
    • data.europa.eu
    csv, pdf
    Updated Jun 11, 2018
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    Lincolnshire County Council (2018). Website Statistics [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/M2ZkZDBjOTUtMzNhYi00YWRjLWI1OWMtZmUzMzA5NjM0ZTdk
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    Jun 11, 2018
    Dataset provided by
    Lincolnshire County Councilhttp://www.lincolnshire.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This Website Statistics dataset has four resources showing usage of the Lincolnshire Open Data website. Web analytics terms used in each resource are defined in their accompanying Metadata file.

    • Website Usage Statistics: This document shows a statistical summary of usage of the Lincolnshire Open Data site for the latest calendar year.

    • Website Statistics Summary: This dataset shows a website statistics summary for the Lincolnshire Open Data site for the latest calendar year.

    • Webpage Statistics: This dataset shows statistics for individual Webpages on the Lincolnshire Open Data site by calendar year.

    • Dataset Statistics: This dataset shows cumulative totals for Datasets on the Lincolnshire Open Data site that have also been published on the national Open Data site Data.Gov.UK - see the Source link.

      Note: Website and Webpage statistics (the first three resources above) show only UK users, and exclude API calls (automated requests for datasets). The Dataset Statistics are confined to users with javascript enabled, which excludes web crawlers and API calls.

    These Website Statistics resources are updated annually in January by the Lincolnshire County Council Business Intelligence team. For any enquiries about the information contact opendata@lincolnshire.gov.uk.

  3. NYC Open Data Plan: Website Data

    • data.cityofnewyork.us
    application/rdfxml +5
    Updated Aug 27, 2024
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    Office of Technology and Innovation (OTI) (2024). NYC Open Data Plan: Website Data [Dataset]. https://data.cityofnewyork.us/City-Government/NYC-Open-Data-Plan-Website-Data/duz4-2gn9
    Explore at:
    application/rdfxml, csv, application/rssxml, tsv, xml, jsonAvailable download formats
    Dataset updated
    Aug 27, 2024
    Dataset provided by
    New York City Office of Technology and Innovationhttps://www.nyc.gov/content/oti/pages/
    Authors
    Office of Technology and Innovation (OTI)
    Description

    NOTE: To review the latest plan, make sure to filter the "Report Year" column to the latest year.

    Data on public websites maintained by or on behalf of the city agencies.

  4. d

    Altosight | AI Custom Web Scraping Data | 100% Global | Free Unlimited Data...

    • datarade.ai
    .json, .csv, .xls
    Updated Sep 7, 2024
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    Altosight (2024). Altosight | AI Custom Web Scraping Data | 100% Global | Free Unlimited Data Points | Bypassing All CAPTCHAs & Blocking Mechanisms | GDPR Compliant [Dataset]. https://datarade.ai/data-products/altosight-ai-custom-web-scraping-data-100-global-free-altosight
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Sep 7, 2024
    Dataset authored and provided by
    Altosight
    Area covered
    Wallis and Futuna, Paraguay, Czech Republic, Guatemala, Tajikistan, Svalbard and Jan Mayen, Chile, Singapore, Côte d'Ivoire, Greenland
    Description

    Altosight | AI Custom Web Scraping Data

    ✦ Altosight provides global web scraping data services with AI-powered technology that bypasses CAPTCHAs, blocking mechanisms, and handles dynamic content.

    We extract data from marketplaces like Amazon, aggregators, e-commerce, and real estate websites, ensuring comprehensive and accurate results.

    ✦ Our solution offers free unlimited data points across any project, with no additional setup costs.

    We deliver data through flexible methods such as API, CSV, JSON, and FTP, all at no extra charge.

    ― Key Use Cases ―

    ➤ Price Monitoring & Repricing Solutions

    🔹 Automatic repricing, AI-driven repricing, and custom repricing rules 🔹 Receive price suggestions via API or CSV to stay competitive 🔹 Track competitors in real-time or at scheduled intervals

    ➤ E-commerce Optimization

    🔹 Extract product prices, reviews, ratings, images, and trends 🔹 Identify trending products and enhance your e-commerce strategy 🔹 Build dropshipping tools or marketplace optimization platforms with our data

    ➤ Product Assortment Analysis

    🔹 Extract the entire product catalog from competitor websites 🔹 Analyze product assortment to refine your own offerings and identify gaps 🔹 Understand competitor strategies and optimize your product lineup

    ➤ Marketplaces & Aggregators

    🔹 Crawl entire product categories and track best-sellers 🔹 Monitor position changes across categories 🔹 Identify which eRetailers sell specific brands and which SKUs for better market analysis

    ➤ Business Website Data

    🔹 Extract detailed company profiles, including financial statements, key personnel, industry reports, and market trends, enabling in-depth competitor and market analysis

    🔹 Collect customer reviews and ratings from business websites to analyze brand sentiment and product performance, helping businesses refine their strategies

    ➤ Domain Name Data

    🔹 Access comprehensive data, including domain registration details, ownership information, expiration dates, and contact information. Ideal for market research, brand monitoring, lead generation, and cybersecurity efforts

    ➤ Real Estate Data

    🔹 Access property listings, prices, and availability 🔹 Analyze trends and opportunities for investment or sales strategies

    ― Data Collection & Quality ―

    ► Publicly Sourced Data: Altosight collects web scraping data from publicly available websites, online platforms, and industry-specific aggregators

    ► AI-Powered Scraping: Our technology handles dynamic content, JavaScript-heavy sites, and pagination, ensuring complete data extraction

    ► High Data Quality: We clean and structure unstructured data, ensuring it is reliable, accurate, and delivered in formats such as API, CSV, JSON, and more

    ► Industry Coverage: We serve industries including e-commerce, real estate, travel, finance, and more. Our solution supports use cases like market research, competitive analysis, and business intelligence

    ► Bulk Data Extraction: We support large-scale data extraction from multiple websites, allowing you to gather millions of data points across industries in a single project

    ► Scalable Infrastructure: Our platform is built to scale with your needs, allowing seamless extraction for projects of any size, from small pilot projects to ongoing, large-scale data extraction

    ― Why Choose Altosight? ―

    ✔ Unlimited Data Points: Altosight offers unlimited free attributes, meaning you can extract as many data points from a page as you need without extra charges

    ✔ Proprietary Anti-Blocking Technology: Altosight utilizes proprietary techniques to bypass blocking mechanisms, including CAPTCHAs, Cloudflare, and other obstacles. This ensures uninterrupted access to data, no matter how complex the target websites are

    ✔ Flexible Across Industries: Our crawlers easily adapt across industries, including e-commerce, real estate, finance, and more. We offer customized data solutions tailored to specific needs

    ✔ GDPR & CCPA Compliance: Your data is handled securely and ethically, ensuring compliance with GDPR, CCPA and other regulations

    ✔ No Setup or Infrastructure Costs: Start scraping without worrying about additional costs. We provide a hassle-free experience with fast project deployment

    ✔ Free Data Delivery Methods: Receive your data via API, CSV, JSON, or FTP at no extra charge. We ensure seamless integration with your systems

    ✔ Fast Support: Our team is always available via phone and email, resolving over 90% of support tickets within the same day

    ― Custom Projects & Real-Time Data ―

    ✦ Tailored Solutions: Every business has unique needs, which is why Altosight offers custom data projects. Contact us for a feasibility analysis, and we’ll design a solution that fits your goals

    ✦ Real-Time Data: Whether you need real-time data delivery or scheduled updates, we provide the flexibility to receive data when you need it. Track price changes, monitor product trends, or gather...

  5. f

    Business Software Alliance | Web Hosting & Domain Names | Technology Data

    • datastore.forage.ai
    Updated Sep 22, 2024
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    (2024). Business Software Alliance | Web Hosting & Domain Names | Technology Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=web
    Explore at:
    Dataset updated
    Sep 22, 2024
    Description

    Business Software Alliance is a trade association that represents the world's leading software companies, including Autodesk, IBM, and Symantec. The organization's members are committed to promoting the use of legitimate software and ensuring the integrity of their intellectual property.

    As a result, the data housed on BSA's website is rich in information related to the software industry, including software licensing, anti-piracy efforts, and digital piracy statistics. The data includes information on software usage, software development, and the impact of piracy on the technology industry. With its focus on promoting legitimate software use, the data on BSA's website provides valuable insights into the global software industry.

  6. D

    Dataset Alerts - Open and Monitoring

    • datasf.org
    • data.sfgov.org
    • +1more
    application/rdfxml +5
    Updated Jun 20, 2025
    + more versions
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    (2025). Dataset Alerts - Open and Monitoring [Dataset]. https://datasf.org/opendata/
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    json, application/rssxml, csv, tsv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Jun 20, 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 log of dataset alerts open, monitored or resolved on the open data portal. Alerts can include issues as well as deprecation or discontinuation notices.

  7. d

    TagX Data collection for AI/ ML training | LLM data | Data collection for AI...

    • datarade.ai
    .json, .csv, .xls
    Updated Jun 18, 2021
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    TagX (2021). TagX Data collection for AI/ ML training | LLM data | Data collection for AI development & model finetuning | Text, image, audio, and document data [Dataset]. https://datarade.ai/data-products/data-collection-and-capture-services-tagx
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Jun 18, 2021
    Dataset authored and provided by
    TagX
    Area covered
    Belize, Iceland, Qatar, Saudi Arabia, Colombia, Antigua and Barbuda, Russian Federation, Benin, Djibouti, Equatorial Guinea
    Description

    We offer comprehensive data collection services that cater to a wide range of industries and applications. Whether you require image, audio, or text data, we have the expertise and resources to collect and deliver high-quality data that meets your specific requirements. Our data collection methods include manual collection, web scraping, and other automated techniques that ensure accuracy and completeness of data.

    Our team of experienced data collectors and quality assurance professionals ensure that the data is collected and processed according to the highest standards of quality. We also take great care to ensure that the data we collect is relevant and applicable to your use case. This means that you can rely on us to provide you with clean and useful data that can be used to train machine learning models, improve business processes, or conduct research.

    We are committed to delivering data in the format that you require. Whether you need raw data or a processed dataset, we can deliver the data in your preferred format, including CSV, JSON, or XML. We understand that every project is unique, and we work closely with our clients to ensure that we deliver the data that meets their specific needs. So if you need reliable data collection services for your next project, look no further than us.

  8. d

    Website Analytics

    • catalog.data.gov
    • data.somervillema.gov
    • +1more
    Updated Feb 7, 2025
    + more versions
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    data.somervillema.gov (2025). Website Analytics [Dataset]. https://catalog.data.gov/dataset/somerville-analytics
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    Dataset updated
    Feb 7, 2025
    Dataset provided by
    data.somervillema.gov
    Description

    Contains view count data for the top 20 pages each day on the Somerville MA city website dating back to 2020. Data is used in the City's dashboard which can be found at https://www.somervilledata.farm/.

  9. d

    1950 Census: Official 1950 Census Website

    • catalog.data.gov
    • datasets.ai
    Updated Mar 11, 2023
    + more versions
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    Office of Innovation (2023). 1950 Census: Official 1950 Census Website [Dataset]. https://catalog.data.gov/dataset/1950-census-official-1950-census-website
    Explore at:
    Dataset updated
    Mar 11, 2023
    Dataset provided by
    Office of Innovation
    Description

    "Website allows the public full access to the 1950 Census images, census maps and descriptions.

  10. D

    Website Analytics

    • data.nola.gov
    • gimi9.com
    • +3more
    application/rdfxml +5
    Updated Feb 2, 2017
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    Information Technology and Innovation Web Team (2017). Website Analytics [Dataset]. https://data.nola.gov/City-Administration/Website-Analytics/62d3-pst8
    Explore at:
    csv, tsv, xml, application/rssxml, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Feb 2, 2017
    Dataset authored and provided by
    Information Technology and Innovation Web Team
    License

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

    Description

    This data about nola.gov provides a window into how people are interacting with the the City of New Orleans online. The data comes from a unified Google Analytics account for New Orleans. We do not track individuals and we anonymize the IP addresses of all visitors.

  11. d

    Success.ai | Consumer Behavior Data | In-depth Intent Data for Strategic...

    • datarade.ai
    Updated Oct 27, 2022
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    Success.ai (2022). Success.ai | Consumer Behavior Data | In-depth Intent Data for Strategic Engagement – Unbeatable Prices Guaranteed [Dataset]. https://datarade.ai/data-categories/consumer-behavior-data/datasets
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2022
    Dataset provided by
    Success.ai
    Area covered
    Bonaire, Andorra, Venezuela (Bolivarian Republic of), Dominican Republic, Taiwan, Djibouti, Japan, Egypt, Romania, Benin
    Description

    Success.ai is at the forefront of delivering precise consumer behavior insights that empower businesses to understand and anticipate customer needs more effectively. Our extensive datasets provide a deep dive into the nuances of consumer actions, preferences, and trends, enabling businesses to tailor their strategies for maximum engagement and conversion.

    Explore the Multifaceted Dimensions of Consumer Behavior:

    • Consumer Sentiment Analysis: Decode the emotions and sentiments behind consumer interactions with brands and products to refine messaging and product offerings.
    • Web Activity Insights: Monitor and analyze consumer online behaviors, from browsing patterns to engagement metrics, to optimize digital strategies and user experience.
    • Geodemographic Segmentation: Utilize detailed demographic and geographic data to segment audiences accurately, enabling personalized marketing approaches that resonate with diverse consumer groups.
    • Consumer Purchasing Patterns: Understand the what, when, and why behind consumer purchases to forecast trends and align inventory and marketing efforts accordingly.
    • Advanced Consumer Profiling: Build detailed profiles based on consumer behavior data to target or retarget customers with precision.

    Why Choose Success.ai for Consumer Behavior Data?

    • Comprehensive Data Integration: Seamlessly integrate our rich consumer data into your CRM systems, enhancing your data reservoir with valuable consumer insights.
    • Real-Time Updates and Predictive Analytics: Leverage the latest consumer behavior trends powered by AI-driven analytics to stay ahead in a rapidly changing market.
    • Precision and Reliability: Count on our meticulous data collection and processing methods, ensuring high accuracy and compliance with international data protection regulations.
    • Scalable Solutions: Whether you're a small business or a large enterprise, our flexible data solutions can be scaled to meet your specific needs and budget constraints.
    • Competitive Pricing: We offer the most compelling pricing in the industry, guaranteeing you get top-tier data without overspending.

    Strategic Applications of Consumer Behavior Data for Business Growth:

    • Enhanced Email Marketing: Use detailed consumer profiles to craft personalized email campaigns that increase open rates and conversions.
    • Optimized Online Marketing: Apply insights from consumer web activity and search trends to fine-tune your online marketing tactics for better ROI.
    • Effective B2B Lead Generation: Identify and engage potential business clients by understanding their industry-specific behaviors and preferences.
    • Robust Sales Data Enrichment: Enrich your sales strategies with deep behavioral insights, turning cold calls into informed discussions and increasing sales success.
    • Dynamic Competitive Intelligence: Stay competitive by monitoring how consumer behaviors are shifting in your industry and adjust your strategies proactively.

    Empower Your Business with Actionable Consumer Insights from Success.ai

    Success.ai provides not just data, but a gateway to transformative business strategies. Our comprehensive consumer behavior insights allow you to make informed decisions, personalize customer interactions, and ultimately drive higher engagement and sales.

    Get in touch with us today to discover how our Consumer Behavior Intent Data can revolutionize your business strategies and help you achieve your market potential.

    Contact Success.ai now and start transforming data into growth. Let us show you how our unmatched data solutions can be the cornerstone of your business success.

  12. Z

    Network Traffic Analysis: Data and Code

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jun 12, 2024
    + more versions
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    Honig, Joshua (2024). Network Traffic Analysis: Data and Code [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11479410
    Explore at:
    Dataset updated
    Jun 12, 2024
    Dataset provided by
    Moran, Madeline
    Homan, Sophia
    Chan-Tin, Eric
    Honig, Joshua
    Ferrell, Nathan
    Soni, Shreena
    License

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

    Description

    Code:

    Packet_Features_Generator.py & Features.py

    To run this code:

    pkt_features.py [-h] -i TXTFILE [-x X] [-y Y] [-z Z] [-ml] [-s S] -j

    -h, --help show this help message and exit -i TXTFILE input text file -x X Add first X number of total packets as features. -y Y Add first Y number of negative packets as features. -z Z Add first Z number of positive packets as features. -ml Output to text file all websites in the format of websiteNumber1,feature1,feature2,... -s S Generate samples using size s. -j

    Purpose:

    Turns a text file containing lists of incomeing and outgoing network packet sizes into separate website objects with associative features.

    Uses Features.py to calcualte the features.

    startMachineLearning.sh & machineLearning.py

    To run this code:

    bash startMachineLearning.sh

    This code then runs machineLearning.py in a tmux session with the nessisary file paths and flags

    Options (to be edited within this file):

    --evaluate-only to test 5 fold cross validation accuracy

    --test-scaling-normalization to test 6 different combinations of scalers and normalizers

    Note: once the best combination is determined, it should be added to the data_preprocessing function in machineLearning.py for future use

    --grid-search to test the best grid search hyperparameters - note: the possible hyperparameters must be added to train_model under 'if not evaluateOnly:' - once best hyperparameters are determined, add them to train_model under 'if evaluateOnly:'

    Purpose:

    Using the .ml file generated by Packet_Features_Generator.py & Features.py, this program trains a RandomForest Classifier on the provided data and provides results using cross validation. These results include the best scaling and normailzation options for each data set as well as the best grid search hyperparameters based on the provided ranges.

    Data

    Encrypted network traffic was collected on an isolated computer visiting different Wikipedia and New York Times articles, different Google search queres (collected in the form of their autocomplete results and their results page), and different actions taken on a Virtual Reality head set.

    Data for this experiment was stored and analyzed in the form of a txt file for each experiment which contains:

    First number is a classification number to denote what website, query, or vr action is taking place.

    The remaining numbers in each line denote:

    The size of a packet,

    and the direction it is traveling.

    negative numbers denote incoming packets

    positive numbers denote outgoing packets

    Figure 4 Data

    This data uses specific lines from the Virtual Reality.txt file.

    The action 'LongText Search' refers to a user searching for "Saint Basils Cathedral" with text in the Wander app.

    The action 'ShortText Search' refers to a user searching for "Mexico" with text in the Wander app.

    The .xlsx and .csv file are identical

    Each file includes (from right to left):

    The origional packet data,

    each line of data organized from smallest to largest packet size in order to calculate the mean and standard deviation of each packet capture,

    and the final Cumulative Distrubution Function (CDF) caluclation that generated the Figure 4 Graph.

  13. f

    Web Data | Global | Reach - 200 Million Records for Precise Audience...

    • factori.ai
    Updated Dec 24, 2024
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    (2024). Web Data | Global | Reach - 200 Million Records for Precise Audience Segments & Market Intelligence [Dataset]. https://www.factori.ai/datasets/web-data/
    Explore at:
    Dataset updated
    Dec 24, 2024
    License

    https://www.factori.ai/privacy-policyhttps://www.factori.ai/privacy-policy

    Area covered
    Global
    Description

    We provide detailed web activity data from users browsing popular websites worldwide. This comprehensive data allows for in-depth analysis of web behavior, enabling the creation of precise audience segments based on web activity. These segments can be used to target ads effectively, focusing on users' interests and their search or browsing intent.

    Web Data Reach

    Our web data reach includes extensive counts across various categories, covering attributes such as country, anonymous ID, IP addresses, search queries, and more.

    • Record Count: 200 Million
    • Capturing Frequency: Once per Event
    • Delivering Frequency: Once per Day
    • Updated: Monthly
    • Historic Data: Past 6 Months

    Data Export Methodology

    We dynamically collect and update data, providing the latest insights through the most appropriate method at intervals that best suit your needs, whether daily, weekly, or monthly.

    Use Cases

    Our web activity data is instrumental for personalized targeting, data enrichment, market intelligence, and enhancing fraud and cybersecurity measures, helping businesses optimize their strategies and security efforts.

  14. f

    Web Designer Express | Graphics Multimedia & Web Design | Technology Data

    • datastore.forage.ai
    Updated Sep 22, 2024
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    (2024). Web Designer Express | Graphics Multimedia & Web Design | Technology Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=web
    Explore at:
    Dataset updated
    Sep 22, 2024
    Description

    Web Designer Express is a reputable Miami-based company that has been in business for 20 years. With a team of experienced web designers and developers, they offer a wide range of services, including web design, e-commerce development, web development, and more. Their portfolio showcases over 10,000 websites designed, with a focus on creating custom, unique solutions for each client. With a presence in Miami, Florida, they cater to businesses and individuals seeking to establish a strong online presence. As a company, Web Designer Express is dedicated to building long-lasting relationships with their clients, providing personalized service, and exceeding expectations.

  15. d

    Audience Targeting Data I US Consumer | Behavioral Intelligence | Purchase,...

    • datarade.ai
    .csv, .xls
    Updated Nov 14, 2023
    + more versions
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    Allforce (formerly Solution Publishing) (2023). Audience Targeting Data I US Consumer | Behavioral Intelligence | Purchase, Shopper, Lifestyle Data | Verified Email, Phone, Address [Dataset]. https://datarade.ai/data-categories/consumer-data/datasets
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Nov 14, 2023
    Dataset authored and provided by
    Allforce (formerly Solution Publishing)
    Area covered
    United States of America
    Description

    Access high-fidelity consumer data powered by our proprietary modeling technology that provides the most comprehensive consumer intelligence, accurate targeting, first-party data enrichment, and personalization at scale. Our deterministic dataset, anchored in the purchasing habits of over 140 million U.S. consumers, delivers superior targeting performance with proven 70% increase in ROAS.

    Core Data Assets Transactional Data Foundation: Real purchasing behavior from over 140 million U.S. consumers with 8.5 billion behavioral signals across 250 million adults. Seven years of daily credit card and debit card purchase data aggregated from all major credit cards sourced from more than 300 national banks, capturing $2+ trillion in annual discretionary spending.

    Consumer Demographics & Lifestyle: Comprehensive profiles including age, income, household composition, geographic distribution, education, employment, and lifestyle indicators. Our proprietary taxonomy organizes consumer spending across 8,000+ brands and 2,500+ merchants, from major retailers to emerging direct-to-consumer brands.

    Behavioral Segmentation: 150+ custom consumer communities including demographic groups (Gen Z, Millennials, Gen X), lifestyle segments (Health & Fitness Enthusiasts, Tech Early Adopters, Luxury Shoppers), and behavioral categories (Deal Seekers, Brand Loyalists, Premium Service Users, Streaming Subscribers). Purchase Intelligence: Deep insights into consumer spending patterns across entertainment, fitness, fashion, technology, travel, dining, and retail categories. Our models identify cross-category purchasing behaviors, seasonal trends, and brand switching patterns to optimize targeting strategies. Advanced Modeling Technology

    Our proprietary consumer intelligence engine combines deterministic transaction-based data with Smart Audience Engineering that transforms first-party signals from anonymized website traffic, behavioral indicators, and CRM enrichment into precision-modeled segments. Unlike traditional data providers who sell static lists, our AI-powered predictive modeling continuously learns and optimizes for unprecedented precision and superior conversion outcomes.

    Performance Advantages: Audiences built on user-level transactional data deliver 70% increase in ROAS compared to traditional targeting methods. Weekly-optimized audiences with performance narratives eliminate wasted ad spend by 20-30%, while our deterministic AI models analyze hundreds of attributes and conversion-validated signals to identify prospects with genuine purchase intent, not just lookalike behaviors.

  16. t

    The Surprising Impact of Data-backed Website Design and User Experience...

    • thegood.com
    html
    Updated May 14, 2025
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    The Good (2025). The Surprising Impact of Data-backed Website Design and User Experience Testing [Dataset]. https://thegood.com/insights/data-backed-website-design/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 14, 2025
    Dataset authored and provided by
    The Good
    License

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

    Description

    When a prospect enters a brick and mortar business, staff will likely get several opportunities to engage that person and encourage a purchase. Not so online. You have seconds, not minutes to give visitors a reason to stay long enough to engage. There’s a common thread that helped companies like Facebook, Amazon, and Apple rise […]

  17. Amount of data created, consumed, and stored 2010-2023, with forecasts to...

    • statista.com
    Updated Jun 30, 2025
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    Statista (2024). Amount of data created, consumed, and stored 2010-2023, with forecasts to 2028 [Dataset]. https://www.statista.com/statistics/871513/worldwide-data-created/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024
    Area covered
    Worldwide
    Description

    The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

  18. f

    Hilco Streambank | Web Hosting & Domain Names | Technology Data

    • datastore.forage.ai
    Updated Sep 22, 2024
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    (2024). Hilco Streambank | Web Hosting & Domain Names | Technology Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=web
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    Dataset updated
    Sep 22, 2024
    Description

    Hilco Streambank is a trusted marketplace leader dedicated to reliable and transparent service. As the world's largest IPv4 address broker, Hilco Streambank has successfully completed more transfers than any other organization, worldwide, with over $0 billion generated for clients since 2014. The company's team has extensive experience in region internet registry transfer regulations and provides buyers and sellers with expert advice to help reach a deal that meets even the most complex of needs.

    Hilco Streambank's online marketplace provides a streamlined and transparent process to transfer the rights to IPv4 assets, including buyer and seller checklists, private brokered solutions, and LEASE IPv4 options. The company also offers the IPv4 Analyzer widget and its ReView digital IP address audit tool, a free tool working with 6connect. With operating presence in all five internet registries, including ARIN, APNIC, RIPE, LACNIC, and AFRINIC, Hilco Streambank is well-positioned to facilitate IPv4 transactions worldwide.

  19. w

    Websites using data-urls

    • webtechsurvey.com
    csv
    Updated Feb 10, 2025
    + more versions
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    WebTechSurvey (2025). Websites using data-urls [Dataset]. https://webtechsurvey.com/technology/data-urls
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the data-urls technology, compiled through global website indexing conducted by WebTechSurvey.

  20. Data Processing & Hosting & Website Operating in Ireland - Market Research...

    • ibisworld.com
    Updated Jun 20, 2025
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    IBISWorld (2025). Data Processing & Hosting & Website Operating in Ireland - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/ireland/industry/data-processing-hosting-website-operating/200269/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Ireland, Ireland
    Description

    This group includes the provision of infrastructure for hosting, data processing services and related activities, as well as search facilities and other portals for the Internet.

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PredictLeads (2024). Web Scraping Data | Key Customers Domain Name Data | Scanning Logos found on Websites | 248M+ Records [Dataset]. https://datarade.ai/data-products/predictleads-web-scraping-data-domain-name-data-business-predictleads

Web Scraping Data | Key Customers Domain Name Data | Scanning Logos found on Websites | 248M+ Records

Explore at:
.jsonAvailable download formats
Dataset updated
Jun 27, 2024
Dataset authored and provided by
PredictLeads
Area covered
Nigeria, Svalbard and Jan Mayen, Curaçao, Colombia, Malaysia, Burkina Faso, Turkmenistan, Benin, Oman, Northern Mariana Islands
Description

PredictLeads Key Customers Data provides essential business intelligence by analyzing company relationships, uncovering vendor partnerships, client connections, and strategic affiliations through advanced web scraping and logo recognition. This dataset captures business interactions directly from company websites, offering valuable insights into market positioning, competitive landscapes, and growth opportunities.

Use Cases:

✅ Account Profiling – Gain a 360-degree customer view by mapping company relationships and partnerships. ✅ Competitive Intelligence – Track vendor-client connections and business affiliations to identify key industry players. ✅ B2B Lead Targeting – Prioritize leads based on their business relationships, improving sales and marketing efficiency. ✅ CRM Data Enrichment – Enhance company records with detailed key customer data, ensuring data accuracy. ✅ Market Research – Identify emerging trends and industry networks to optimize strategic planning.

Key API Attributes:

  • id (string, UUID) – Unique identifier for the company connection.
  • category (string) – Type of relationship (e.g., vendor, client, partner).
  • source_category (string) – Where the connection was detected (e.g., partner page, case study).
  • source_url (string, URL) – Website where the relationship was found.
  • individual_source_url (string, URL) – Specific page confirming the connection.
  • context (string) – Extracted description of the business relationship (e.g., "Company X - partners with Company Y to enhance payment processing").
  • first_seen_at (ISO 8601 date-time) – Date the connection was first detected.
  • last_seen_at (ISO 8601 date-time) – Most recent confirmation of the relationship.
  • company1 & company2 (objects) – Details of the two connected companies, including:
  • - domain (string) – Company website domain.
  • - company_name (string) – Official company name.
  • - ticker (string, nullable) – Stock ticker, if available.

📌 PredictLeads Key Customers Data is an indispensable tool for B2B sales, marketing, and market intelligence teams, providing actionable relationship insights to drive targeted outreach, competitor tracking, and strategic decision-making.

PredictLeads Docs: https://docs.predictleads.com/v3/guide/connections_dataset

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