60 datasets found
  1. Online Advertising Digital Marketing data

    • kaggle.com
    zip
    Updated Jul 23, 2024
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    n. aniruddhan (2024). Online Advertising Digital Marketing data [Dataset]. https://www.kaggle.com/datasets/naniruddhan/online-advertising-digital-marketing-data
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    zip(225619 bytes)Available download formats
    Dataset updated
    Jul 23, 2024
    Authors
    n. aniruddhan
    License

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

    Description

    This dataset provides a comprehensive view of the online advertising performance for "Company X" over a three-month period in 2020. Here's an overview of its components and potential analyses you can perform:

    Dataset Components: Day: Date of the advertising campaign. Campaign: Specific group targeting variable set by Company X. User Engagement: Level of user interaction with the ads. Banner: Ad size served by "Advert Firm A". Placement: Publisher space where ads are served (websites/apps). Displays: Number of ads shown by "Advert Firm A". Cost: Price paid to serve the ads to the publisher. Clicks: Number of times users clicked on the ads. Revenue: Amount

  2. Advertising Sales Dataset

    • kaggle.com
    zip
    Updated Dec 25, 2021
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    M Yasser H (2021). Advertising Sales Dataset [Dataset]. https://www.kaggle.com/datasets/yasserh/advertising-sales-dataset
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    zip(2302 bytes)Available download formats
    Dataset updated
    Dec 25, 2021
    Authors
    M Yasser H
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    https://raw.githubusercontent.com/Masterx-AI/Project_Ad_Budget_Estimation_/main/0-ad1%20(1).jpg" alt="">

    Description:

    The advertising dataset captures the sales revenue generated with respect to advertisement costs across multiple channels like radio, tv, and newspapers.

    It is required to understand the impact of ad budgets on the overall sales.

    Acknowledgement:

    The dataset is taken from Kaggle

    Objective:

    • Understand the Dataset & cleanup (if required).
    • Build Regression models to predict the sales w.r.t a single & multiple features.
    • Also evaluate the models & compare their respective scores like R2, RMSE, etc.
  3. D

    Dataset Licensing For AI Training Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Dataset Licensing For AI Training Market Research Report 2033 [Dataset]. https://dataintelo.com/report/dataset-licensing-for-ai-training-market
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Dataset Licensing for AI Training Market Outlook



    According to our latest research, the global Dataset Licensing for AI Training market size reached USD 2.1 billion in 2024, with a robust CAGR of 22.4% projected through the forecast period. By 2033, the market is expected to achieve a value of USD 15.2 billion. This remarkable growth is primarily fueled by the exponential rise in demand for high-quality, diverse, and ethically sourced datasets required to train increasingly sophisticated artificial intelligence (AI) models across industries. As organizations continue to scale their AI initiatives, the need for compliant, scalable, and customizable licensing solutions has never been more critical, driving significant investments and innovation in the dataset licensing ecosystem.




    A primary growth factor for the Dataset Licensing for AI Training market is the proliferation of AI applications across sectors such as healthcare, finance, automotive, and government. As AI models become more complex, their hunger for diverse and representative datasets intensifies, making data acquisition and licensing a strategic priority for enterprises. The increasing adoption of machine learning, deep learning, and generative AI technologies further amplifies the need for specialized datasets, pushing both data providers and consumers to seek flexible and secure licensing arrangements. Additionally, regulatory developments such as GDPR in Europe and similar data privacy frameworks worldwide are compelling organizations to prioritize licensed, compliant datasets over ad hoc or unlicensed data sources, further accelerating market growth.




    Another significant driver is the growing sophistication of dataset licensing models themselves. Vendors are moving beyond traditional open-source or proprietary licenses, introducing hybrid, creative commons, and custom-negotiated agreements tailored to specific use cases and industries. This evolution is enabling AI developers to access a broader variety of data types—text, image, audio, video, and multimodal—while ensuring legal clarity and minimizing risk. Moreover, the rise of data marketplaces and third-party platforms is streamlining the process of dataset discovery, negotiation, and compliance monitoring, making it easier for organizations of all sizes to source and license the data they need for AI training at scale.




    The surging demand for high-quality annotated datasets is also fostering partnerships between data providers, annotation service vendors, and AI developers. These collaborations are leading to the creation of bespoke datasets that cater to niche applications, such as autonomous driving, medical diagnostics, and advanced robotics. At the same time, advances in synthetic data generation and data augmentation are expanding the universe of licensable datasets, offering new avenues for licensing and monetization. As the market matures, we expect to see increased standardization, transparency, and interoperability in licensing frameworks, further lowering barriers to entry and accelerating innovation in AI model development.




    Regionally, North America continues to dominate the Dataset Licensing for AI Training market, accounting for the largest share in 2024, driven by the presence of leading technology companies, robust regulatory frameworks, and a mature AI ecosystem. Europe follows closely, with significant investments in ethical AI and data governance initiatives. Asia Pacific is emerging as a high-growth region, fueled by rapid digital transformation, government-backed AI strategies, and a burgeoning startup landscape. Latin America and the Middle East & Africa are also witnessing increased adoption of licensed datasets, particularly in sectors such as healthcare and public administration, although their market shares remain comparatively smaller. This global momentum underscores the universal need for high-quality, licensed datasets as the foundation of responsible and effective AI training.



    License Type Analysis



    The License Type segment in the Dataset Licensing for AI Training market is characterized by a diverse range of options, including Open Source, Proprietary, Creative Commons, and Custom/Negotiated licenses. Open source licenses have long been favored by academic and research communities due to their accessibility and collaborative ethos. However, their adoption in commercial AI projects is often tempered by concerns over data provenance, usage restrictions, a

  4. Digital Marketing Company

    • kaggle.com
    zip
    Updated Aug 9, 2024
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    Arpit Mishra (2024). Digital Marketing Company [Dataset]. https://www.kaggle.com/datasets/arpit2712/digital-marketing-company
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    zip(396569 bytes)Available download formats
    Dataset updated
    Aug 9, 2024
    Authors
    Arpit Mishra
    License

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

    Description

    Digital Marketing Analytics

    This dataset provides an in-depth look at customer interactions and campaign performance within the digital marketing realm. It includes key metrics and demographic information that are crucial for analyzing marketing effectiveness and customer engagement. The dataset comprises the following columns:

    Customer Id:

    Unique identifier for each customer, facilitating individual tracking and analysis.

    Age:

    Customer's age, offering insights into demographic segmentation and targeting strategies.

    Gender:

    Customer's gender, useful for understanding gender-based preferences and behavior.

    Income:

    Customer's income level, providing context on purchasing power and conversion potential.

    Campaign Channel:

    The medium through which the marketing campaign was delivered (e.g., email, social media).

    Campaign Type:

    The nature of the marketing campaign (e.g., promotional offer, product launch), helping to assess campaign effectiveness.

    Ad Spend:

    Amount spent on advertisements, crucial for evaluating cost-efficiency and ROI.

    Click Through Rate (CTR):

    Ratio of clicks to impressions, indicating ad engagement and effectiveness.

    Conversion Rate:

    Percentage of users who complete a desired action after interacting with an ad, reflecting the success of the campaign in driving actual sales or goals.

    Website Visit:

    Number of visits to the website by the customer, measuring engagement and interest.

    This dataset is ideal for exploring customer behavior, optimizing marketing strategies, and evaluating the success of various campaigns. Perfect for data scientists and marketers looking to derive actionable insights from digital marketing data.

  5. Consumer Marketing Data | Food, Beverage & Consumer Goods Professionals...

    • datarade.ai
    Updated Jan 1, 2018
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    Success.ai (2018). Consumer Marketing Data | Food, Beverage & Consumer Goods Professionals Globally | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/consumer-marketing-data-food-beverage-consumer-goods-pro-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Austria, Fiji, Bouvet Island, Lebanon, Montenegro, Japan, Tokelau, Kenya, Indonesia, Luxembourg
    Description

    Success.ai’s Consumer Marketing Data for Food, Beverage & Consumer Goods Professionals Globally provides a comprehensive dataset tailored for businesses seeking to connect with decision-makers and marketing professionals in these dynamic industries. Covering roles such as brand managers, marketing strategists, and product developers, this dataset offers verified contact details, decision-maker insights, and actionable business data.

    With access to over 700 million verified global profiles, Success.ai ensures your marketing, sales, and research efforts are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution is essential for businesses aiming to lead in the food, beverage, and consumer goods sectors.

    Why Choose Success.ai’s Consumer Marketing Data?

    1. Verified Contact Data for Precision Targeting

      • Access verified work emails, phone numbers, and LinkedIn profiles of marketing professionals, brand leaders, and product strategists.
      • AI-driven validation ensures 99% accuracy, minimizing communication errors and maximizing outreach success.
    2. Comprehensive Coverage Across Global Markets

      • Includes profiles of professionals from food and beverage companies, consumer goods manufacturers, and marketing agencies in key markets worldwide.
      • Gain insights into regional trends in product marketing, consumer engagement, and purchasing behaviors.
    3. Continuously Updated Datasets

      • Real-time updates capture changes in professional roles, company strategies, and market trends.
      • Stay aligned with the fast-evolving consumer goods industry to identify emerging opportunities.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

    Data Highlights:

    • 700M+ Verified Global Profiles: Connect with decision-makers, marketers, and product managers in the food, beverage, and consumer goods sectors worldwide.
    • Leadership Insights: Gain detailed profiles of brand managers, marketing executives, and product developers shaping consumer trends.
    • Contact Details: Access verified phone numbers and work emails for precision outreach.
    • Industry Trends: Understand global marketing trends, regional consumer preferences, and market dynamics.

    Key Features of the Dataset:

    1. Comprehensive Professional Profiles

      • Identify and connect with key professionals managing brand strategies, product launches, and marketing campaigns in the food, beverage, and consumer goods industries.
      • Access data on career histories, certifications, and market expertise for targeted outreach.
    2. Advanced Filters for Precision Campaigns

      • Filter professionals by industry focus (snack foods, beverages, household goods), geographic location, or job function.
      • Tailor campaigns to align with specific needs such as product placement, consumer engagement, or regional expansion.
    3. Regional Trends and Consumer Insights

      • Leverage data on consumer preferences, product demand, and spending patterns in key markets.
      • Use these insights to refine product offerings, marketing strategies, and audience targeting.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing Campaigns and Brand Outreach

      • Design targeted campaigns for food, beverage, and consumer goods products based on verified data and consumer insights.
      • Leverage multi-channel outreach, including email, phone, and digital advertising, to maximize engagement.
    2. Product Development and Launch Strategies

      • Utilize consumer trend data to guide product development and market entry strategies.
      • Collaborate with brand managers and marketing professionals to align offerings with consumer preferences.
    3. Sales and Partnership Development

      • Build relationships with distributors, retailers, and marketers in the consumer goods supply chain.
      • Present co-branding opportunities, joint marketing campaigns, or distribution strategies to decision-makers.
    4. Market Research and Competitive Analysis

      • Analyze global trends in consumer goods marketing, product innovations, and purchasing behaviors to refine strategies.
      • Benchmark against competitors to identify growth opportunities, underserved markets, and high-demand products.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality consumer marketing data at competitive prices, ensuring strong ROI for your marketing, sales, and product development efforts.
    2. Seamless Integration

      • Integrate verified data into CRM systems, marketing platforms, or analytics tools via APIs or downloadable formats, streamlining workflows and enhancing productivity.
    3. Data Acc...

  6. Success.ai | LinkedIn Full Dataset | Enrichment API – 700M Public Profiles &...

    • datarade.ai
    Updated Jan 1, 2022
    + more versions
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    Success.ai (2022). Success.ai | LinkedIn Full Dataset | Enrichment API – 700M Public Profiles & 70M Companies – Best Price and Quality Guarantee [Dataset]. https://datarade.ai/data-products/success-ai-linkedin-full-dataset-enrichment-api-700m-pu-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2022
    Dataset provided by
    Area covered
    Svalbard and Jan Mayen, Guatemala, Qatar, Tunisia, Jordan, Saint Barthélemy, Equatorial Guinea, Greenland, Nicaragua, United Republic of
    Description

    Success.ai’s LinkedIn Data Solutions offer unparalleled access to a vast dataset of 700 million public LinkedIn profiles and 70 million LinkedIn company records, making it one of the most comprehensive and reliable LinkedIn datasets available on the market today. Our employee data and LinkedIn data are ideal for businesses looking to streamline recruitment efforts, build highly targeted lead lists, or develop personalized B2B marketing campaigns.

    Whether you’re looking for recruiting data, conducting investment research, or seeking to enrich your CRM systems with accurate and up-to-date LinkedIn profile data, Success.ai provides everything you need with pinpoint precision. By tapping into LinkedIn company data, you’ll have access to over 40 critical data points per profile, including education, professional history, and skills.

    Key Benefits of Success.ai’s LinkedIn Data: Our LinkedIn data solution offers more than just a dataset. With GDPR-compliant data, AI-enhanced accuracy, and a price match guarantee, Success.ai ensures you receive the highest-quality data at the best price in the market. Our datasets are delivered in Parquet format for easy integration into your systems, and with millions of profiles updated daily, you can trust that you’re always working with fresh, relevant data.

    API Integration: Our datasets are easily accessible via API, allowing for seamless integration into your existing systems. This ensures that you can automate data retrieval and update processes, maintaining the flow of fresh, accurate information directly into your applications.

    Global Reach and Industry Coverage: Our LinkedIn data covers professionals across all industries and sectors, providing you with detailed insights into businesses around the world. Our geographic coverage spans 259M profiles in the United States, 22M in the United Kingdom, 27M in India, and thousands of profiles in regions such as Europe, Latin America, and Asia Pacific. With LinkedIn company data, you can access profiles of top companies from the United States (6M+), United Kingdom (2M+), and beyond, helping you scale your outreach globally.

    Why Choose Success.ai’s LinkedIn Data: Success.ai stands out for its tailored approach and white-glove service, making it easy for businesses to receive exactly the data they need without managing complex data platforms. Our dedicated Success Managers will curate and deliver your dataset based on your specific requirements, so you can focus on what matters most—reaching the right audience. Whether you’re sourcing employee data, LinkedIn profile data, or recruiting data, our service ensures a seamless experience with 99% data accuracy.

    • Best Price Guarantee: We offer unbeatable pricing on LinkedIn data, and we’ll match any competitor.
    • Global Scale: Access 700 million LinkedIn profiles and 70 million company records globally.
    • AI-Verified Accuracy: Enjoy 99% data accuracy through our advanced AI and manual validation processes.
    • Real-Time Data: Profiles are updated daily, ensuring you always have the most relevant insights.
    • Tailored Solutions: Get custom-curated LinkedIn data delivered directly, without managing platforms.
    • Ethically Sourced Data: Compliant with global privacy laws, ensuring responsible data usage.
    • Comprehensive Profiles: Over 40 data points per profile, including job titles, skills, and company details.
    • Wide Industry Coverage: Covering sectors from tech to finance across regions like the US, UK, Europe, and Asia.

    Key Use Cases:

    • Sales Prospecting and Lead Generation: Build targeted lead lists using LinkedIn company data and professional profiles, helping sales teams engage decision-makers at high-value accounts.
    • Recruitment and Talent Sourcing: Use LinkedIn profile data to identify and reach top candidates globally. Our employee data includes work history, skills, and education, providing all the details you need for successful recruitment.
    • Account-Based Marketing (ABM): Use our LinkedIn company data to tailor marketing campaigns to key accounts, making your outreach efforts more personalized and effective.
    • Investment Research & Due Diligence: Identify companies with strong growth potential using LinkedIn company data. Access key data points such as funding history, employee count, and company trends to fuel investment decisions.
    • Competitor Analysis: Stay ahead of your competition by tracking hiring trends, employee movement, and company growth through LinkedIn data. Use these insights to adjust your market strategy and improve your competitive positioning.
    • CRM Data Enrichment: Enhance your CRM systems with real-time updates from Success.ai’s LinkedIn data, ensuring that your sales and marketing teams are always working with accurate and up-to-date information.
    • Comprehensive Data Points for LinkedIn Profiles: Our LinkedIn profile data includes over 40 key data points for every individual and company, ensuring a complete understandin...
  7. Success.ai | B2B Company & Contact Data – 28M Verified Company Profiles -...

    • datarade.ai
    Updated Oct 15, 2024
    + more versions
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    Success.ai (2024). Success.ai | B2B Company & Contact Data – 28M Verified Company Profiles - Global - Best Price Guarantee & 99% Data Accuracy [Dataset]. https://datarade.ai/data-products/success-ai-b2b-company-contact-data-28m-verified-compan-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 15, 2024
    Dataset provided by
    Area covered
    Burundi, CĂ´te d'Ivoire, Niger, Greenland, Solomon Islands, United Republic of, Poland, Hungary, India, Somalia
    Description

    Success.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.

    Success.ai offers B2B marketing data across industries and geographies, tailored to fit your specific business needs. With our white-glove service, you’ll receive curated, ready-to-use company datasets without the hassle of managing data platforms yourself. Whether you’re looking for UK B2B data or global datasets, Success.ai ensures a seamless experience with the most accurate and up-to-date information in the market.

    Why Choose Success.ai’s Company Data Solution? At Success.ai, we prioritize quality and relevancy. Every company profile is AI-validated for a 99% accuracy rate and manually reviewed to ensure you're accessing actionable and GDPR-compliant data. Our price match guarantee ensures you receive the best deal on the market, while our white-glove service provides personalized assistance in sourcing and delivering the data you need.

    Why Choose Success.ai?

    • Best Price Guarantee: We offer industry-leading pricing and beat any competitor.
    • Global Reach: Access over 28 million verified company profiles across 195 countries.
    • Comprehensive Data: Over 15 data points, including company size, industry, funding, and technologies used.
    • Accurate & Verified: AI-validated with a 99% accuracy rate, ensuring high-quality data.
    • Real-Time Updates: Stay ahead with continuously updated company information.
    • Ethically Sourced Data: Our B2B data is compliant with global privacy laws, ensuring responsible use.
    • Dedicated Service: Receive personalized, curated data without the hassle of managing platforms.
    • Tailored Solutions: Custom datasets are built to fit your unique business needs and industries.

    Our database spans 195 countries and covers 28 million public and private company profiles, with detailed insights into each company’s structure, size, funding history, and key technologies. We provide B2B company data for businesses of all sizes, from small business contact data to large corporations, with extensive coverage in regions such as North America, Europe, Asia-Pacific, and Latin America.

    Comprehensive Data Points: Success.ai delivers in-depth information on each company, with over 15 data points, including:

    Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.

    Tailored for Your Industry: Success.ai serves multiple industries, including technology, healthcare, finance, manufacturing, and more. Our B2B marketing data solutions are particularly valuable for businesses looking to reach professionals in key sectors. You’ll also have access to small business contact data, perfect for reaching new markets or uncovering high-growth startups.

    From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new markets. With continuous data updates, Success.ai ensures you’re always working with the freshest information.

    Key Use Cases:

    • Targeted Lead Generation: Build accurate lead lists by filtering data by company size, industry, or location. Target decision-makers in key industries to streamline your B2B sales outreach.
    • Account-Based Marketing (ABM): Use B2B company data to personalize marketing campaigns, focusing on high-value accounts and improving conversion rates.
    • Investment Research: Track company growth, funding rounds, and employee trends to identify investment opportunities or potential M&A targets.
    • Market Research: Enrich your market intelligence initiatives by gain...
  8. G

    AI-Powered Adaptive Advertising Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 29, 2025
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    Growth Market Reports (2025). AI-Powered Adaptive Advertising Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/ai-powered-adaptive-advertising-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Aug 29, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    AI-Powered Adaptive Advertising Market Outlook




    According to our latest research, the AI-Powered Adaptive Advertising market size reached USD 8.7 billion globally in 2024, with an impressive CAGR of 21.4% expected through the forecast period. By 2033, the market is projected to achieve a value of USD 60.9 billion, driven by the escalating demand for hyper-personalized marketing strategies and the rapid integration of artificial intelligence into digital advertising ecosystems. As per our analysis, the remarkable growth is primarily fueled by advancements in machine learning algorithms, increasing adoption of real-time data analytics, and the rising need for improved ROI in advertising campaigns.




    One of the primary growth factors for the AI-Powered Adaptive Advertising market is the increasing necessity for brands to deliver personalized customer experiences at scale. As consumers become more digitally savvy and expect tailored interactions, organizations are leveraging AI-powered solutions to analyze vast datasets and predict individual preferences. This enables advertisers to create highly relevant content, optimize campaign timing, and dynamically adjust messaging, leading to enhanced engagement rates and conversion metrics. The proliferation of social media platforms and e-commerce channels has further accelerated the adoption of adaptive advertising technologies, as brands seek to differentiate themselves in a crowded digital landscape. Furthermore, the ability of AI to process real-time behavioral signals and adapt strategies on-the-fly is revolutionizing how companies approach audience targeting and campaign management.




    Another significant driver behind the marketÂ’s expansion is the evolution of programmatic advertising and real-time bidding (RTB) models. With AI at the core, advertisers can now automate media buying processes, analyze complex user journeys, and allocate budgets more effectively. Dynamic creative optimization (DCO) powered by AI enables brands to test and deploy multiple ad variations instantaneously, ensuring that each impression is as relevant as possible to the viewer. This not only maximizes the efficiency of advertising spend but also improves the overall customer experience by reducing ad fatigue and increasing message resonance. Additionally, AI-powered fraud detection tools are mitigating the risks associated with digital advertising, enhancing trust and transparency across the value chain.




    The AI-Powered Adaptive Advertising market is also benefitting from advancements in cloud computing and big data infrastructure. Cloud-based deployment models offer scalability, flexibility, and cost-effectiveness, making sophisticated AI tools accessible to organizations of all sizes. As more enterprises migrate their marketing operations to the cloud, the integration of AI-driven analytics and automation becomes seamless, further accelerating market growth. The increasing collaboration between technology providers and advertising agencies is fostering innovation, resulting in the continuous development of new features and functionalities that cater to evolving market demands. Moreover, regulatory frameworks around data privacy and consumer consent are driving investments in ethical AI and privacy-first advertising solutions.




    Regionally, North America continues to dominate the AI-Powered Adaptive Advertising market, accounting for the largest share in 2024. The regionÂ’s leadership can be attributed to the presence of major technology companies, high digital ad spending, and a mature ecosystem for AI adoption. However, Asia Pacific is emerging as the fastest-growing region, propelled by rapid digital transformation, expanding internet penetration, and a burgeoning e-commerce sector. Europe is also witnessing significant growth, driven by stringent data protection regulations and increasing investments in AI research and development. Latin America and the Middle East & Africa are gradually catching up, with rising awareness and adoption among local enterprises.



    AI-Powered Interactive Ad Personalization is becoming a cornerstone of modern marketing strategies, as it allows brands to engage with consumers on a deeper level. By leveraging AI technologies, advertisers can create highly interactive and personalized ad e

  9. Success.ai | LinkedIn Company Data – Access 70M Companies & 700M Profiles at...

    • datarade.ai
    Updated Jan 1, 2022
    + more versions
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    Success.ai (2022). Success.ai | LinkedIn Company Data – Access 70M Companies & 700M Profiles at Unbeatable Prices [Dataset]. https://datarade.ai/data-products/success-ai-linkedin-company-data-access-70m-companies-7-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2022
    Dataset provided by
    Area covered
    Ascension and Tristan da Cunha, Tunisia, Georgia, Macedonia (the former Yugoslav Republic of), Martinique, Suriname, Portugal, Niger, India, Singapore
    Description

    Maximize your business potential with Success.ai's LinkedIn Company and Contact Data, a comprehensive solution designed to empower your business with strategic insights drawn from one of the largest professional networks in the world. This extensive dataset includes in-depth profiles from over 700 million professionals and 70 million companies globally, making it a goldmine for businesses aiming to enhance their marketing strategies, refine competitive intelligence, and drive robust B2B lead generation.

    Transform Your Email Marketing Efforts With Success.ai, tap into highly detailed and direct contact data to personalize your communications effectively. By accessing a vast array of email addresses, personalize your outreach efforts to dramatically improve engagement rates and conversion possibilities.

    Data Enrichment for Comprehensive Insights Integrate enriched LinkedIn data seamlessly into your CRM or any analytical system to gain a comprehensive understanding of your market landscape. This enriched view helps you navigate through complex business environments, enhancing decision-making and strategic planning.

    Elevate Your Online Marketing Deploy targeted and precision-based online marketing campaigns leveraging detailed professional data from LinkedIn. Tailor your messages and offers based on specific professional demographics, industry segments, and more, to optimize engagement and maximize online marketing ROI.

    Digital Advertising Optimized Utilize LinkedIn’s precise company and professional data to create highly targeted digital advertising campaigns. By understanding the profiles of key decision-makers, tailor your advertising strategies to resonate well with your target audience, ensuring high impact and better expenditure returns.

    Accelerate B2B Lead Generation Identify and connect directly with key stakeholders and decision-makers to shorten your sales cycles and close deals quicker. With access to high-level contacts in your industry, streamline your lead generation process and enhance the efficiency of your sales funnel.

    Why Partner with Success.ai for LinkedIn Data? - Competitive Pricing Assurance: Success.ai guarantees the most aggressive pricing, ensuring you receive unbeatable value for your investment in high-quality professional data. - Global Data Access: With coverage extending across 195 countries, tap into a rich reservoir of professional information, covering diverse industries and market segments. - High Data Accuracy: Backed by advanced AI technology and manual validation processes, our data accuracy rate stands at 99%, providing you with reliable and actionable insights. - Custom Data Integration: Receive tailored data solutions that fit seamlessly into your existing business processes, delivered in formats such as CSV and Parquet for easy integration. - Ethical Data Compliance: Our data sourcing and processing practices are fully compliant with global standards, ensuring ethical and responsible use of data. - Industry-wide Applications: Whether you’re in technology, finance, healthcare, or any other sector, our data solutions are designed to meet your specific industry needs.

    Strategic Use Cases for Enhanced Business Performance - Email Marketing: Leverage accurate contact details for personalized and effective email marketing campaigns. - Online Marketing and Digital Advertising: Use detailed demographic and professional data to refine your online presence and digital ad targeting. - Data Enrichment and B2B Lead Generation: Enhance your databases and accelerate your lead generation with enriched, up-to-date data. - Competitive Intelligence and Market Research: Stay ahead of the curve by using our data for deep market analysis and competitive research.

    With Success.ai, you’re not just accessing data; you’re unlocking a gateway to strategic business growth and enhanced market positioning. Start with Success.ai today to leverage our LinkedIn Company Data and transform your business operations with precision and efficiency.

    Did we mention that we'll beat any price on the market? Try us.

  10. Success.ai | Private Company Data | 28M Verified Company Profiles - Best...

    • datarade.ai
    Updated Oct 15, 2024
    + more versions
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    Success.ai (2024). Success.ai | Private Company Data | 28M Verified Company Profiles - Best Price Guarantee [Dataset]. https://datarade.ai/data-products/success-ai-private-company-data-28m-verified-company-prof-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 15, 2024
    Dataset provided by
    Area covered
    Togo, Tokelau, Kazakhstan, Angola, San Marino, Burundi, Norway, Comoros, Lao People's Democratic Republic, Bosnia and Herzegovina
    Description

    Success.ai’s Private Company Data Solutions offer businesses access to over 28 million verified company profiles, delivering detailed insights into private company data across multiple industries. Our solution includes firmographic data and business location data for companies of all sizes, from large enterprises to small businesses. Whether you're seeking small business contact data or company funding data, Success.ai’s company data solutions empower businesses with the accuracy and depth they need to drive B2B sales, marketing, and research initiatives.

    At Success.ai, we offer tailored B2B datasets to meet specific business requirements. With our white-glove service, you’ll receive curated datasets customized to fit your needs, without the hassle of managing data platforms yourself. Our solution is GDPR-compliant, AI-validated with a 99% accuracy rate, and offers the best price guarantee on the market.

    Why choose Success.ai?

    • Best Price Guarantee: Our pricing beats any competitor, ensuring you get the best deal.
    • Global Reach: 28M verified company profiles spanning 195 countries, providing coverage across industries.
    • AI-Validated Accuracy: 99% accuracy rate, ensuring high-quality, actionable data.
    • Real-Time Updates: Data is continuously updated to ensure you’re working with the freshest insights.
    • Ethically Sourced & Compliant: All data is GDPR-compliant and ethically sourced from trusted partners.
    • Comprehensive Data: Over 15 key data points per company, including firmographic data, funding history, company size, and technologies used.
    • Tailored Service: Custom datasets are delivered directly to you, eliminating the need for platform navigation.

    Our database includes comprehensive insights into company structures, employee counts, key technologies, and company funding data. Whether you’re targeting companies by business location or looking for detailed firmographic data, Success.ai’s datasets ensure you have all the data you need to drive your strategy.

    Comprehensive data points:

    Company Name LinkedIn URL Company Domain Company Description Business Location: Full details down to the city, state, and country Company Industry Employee Count Technologies Used Funding Information: Total funding and the latest funding dates

    Maximize your sales potential by targeting decision-makers and building targeted account lists using Success.ai’s B2B contact data and company profiles. Our datasets are ideal for account-based marketing (ABM), investment research, market analysis, and CRM enrichment. Success.ai’s company data provides sales and marketing teams with the actionable insights they need to scale their efforts efficiently.

    Key Use Cases:

    • Targeted Lead Generation: Build precise lead lists by filtering company data by industry, size, or location.
    • Account-Based Marketing (ABM): Use detailed firmographic data to focus marketing efforts on high-value accounts.
    • Investment Research: Analyze company growth trends and funding history to identify high-potential investments.
    • Market Research: Gain insights into industry trends, competitor activity, and market positioning for strategic planning.
    • CRM Enrichment: Keep your CRM updated with verified company data, ensuring streamlined workflows.

    With Success.ai, you’ll benefit from our best price guarantee, industry-leading accuracy, and white-glove service. We specialize in private company data, small business contact data, and business location data, providing comprehensive solutions for B2B marketing, sales, and research teams. Whether you need firmographic data or insights on company funding, our real-time datasets will help you stay ahead of the competition.

    Get started with Success.ai today and take advantage of our price match guarantee, ensuring you receive the best possible deal on high-quality company data. Contact us to receive your custom dataset and transform your business with real-time insights.

  11. h

    fantastic_united_states_consumer_interest_dataset_fall_2017_to_winter_2024_sample...

    • huggingface.co
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    Fantastic Insights, fantastic_united_states_consumer_interest_dataset_fall_2017_to_winter_2024_sample [Dataset]. https://huggingface.co/datasets/fantasticInsights/fantastic_united_states_consumer_interest_dataset_fall_2017_to_winter_2024_sample
    Explore at:
    Authors
    Fantastic Insights
    License

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

    Description

    Please request access to receive a free sample of 1000 reviews as well as information about larger datasets or custom datasets. Contact us at insights@fantastic.app for more details and questions. Visit https://fantastic.app to learn more about how our dataset is created.

    What problem is Fantastic solving? Personalization is no longer a nice to have for today's consumers, it is now a necessity. According to a recent study by Mckinsey "Seventy-one percent of consumers expect companies to… See the full description on the dataset page: https://huggingface.co/datasets/fantasticInsights/fantastic_united_states_consumer_interest_dataset_fall_2017_to_winter_2024_sample.

  12. Sound and Audio Data in Nicaragua

    • kaggle.com
    Updated Mar 31, 2025
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    Techsalerator (2025). Sound and Audio Data in Nicaragua [Dataset]. https://www.kaggle.com/datasets/techsalerator/sound-and-audio-data-in-nicaragua/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 31, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

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

    Area covered
    Nicaragua
    Description

    Techsalerator’s Location Sentiment Data for Nicaragua

    Techsalerator’s Location Sentiment Data for Nicaragua offers a comprehensive dataset that helps businesses, researchers, and policymakers understand public sentiment across various locations in the country. This dataset provides valuable insights into consumer behavior, regional perceptions, and sentiment trends based on geographic data.

    For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

    Techsalerator’s Location Sentiment Data for Nicaragua

    Techsalerator’s Location Sentiment Data for Nicaragua delivers a structured analysis of public sentiment across urban, rural, and commercial areas. This dataset is essential for marketing strategies, government planning, AI-driven sentiment analysis, and business intelligence.

    Top 5 Key Data Fields

    • Geographic Coordinates – Pinpoints the exact location of sentiment data collection, aiding in regional sentiment analysis.
    • Sentiment Score – Measures public sentiment on a scale (positive, neutral, negative) to assess mood trends in different areas.
    • Social Media Mentions – Tracks sentiment expressed on various social media platforms, providing real-time insights into public opinion.
    • Industry-Specific Sentiment – Analyzes sentiment related to key industries such as tourism, retail, real estate, and hospitality.
    • Time-Based Sentiment Trends – Captures sentiment fluctuations over time, helping to understand seasonal and event-driven sentiment changes.

    Top 5 Location Sentiment Trends in Nicaragua

    • Tourism Sentiment Fluctuations – Positive sentiment peaks in coastal and historical regions, especially during high travel seasons.
    • Urban vs. Rural Sentiment – Cities like Managua and Granada show varying sentiment trends compared to rural areas, reflecting economic and infrastructural differences.
    • Political and Social Influence on Sentiment – National events and policies significantly impact regional sentiment, with spikes in discussion during elections and economic shifts.
    • Consumer Preferences by Location – Retail sentiment data helps businesses tailor marketing strategies based on geographic consumer sentiment.
    • Natural Disasters and Crisis Sentiment – Sentiment shifts in response to events like hurricanes and earthquakes, aiding in emergency response and disaster management planning.

    Top 5 Applications of Location Sentiment Data in Nicaragua

    • Business and Marketing Insights – Companies use sentiment data to target advertising and adjust offerings based on regional preferences.
    • Government and Policy Planning – Sentiment analysis helps in decision-making for urban development, public services, and infrastructure projects.
    • Tourism and Hospitality – Hotels, resorts, and travel agencies leverage sentiment trends to improve visitor experiences and promotional strategies.
    • Crisis Management and Emergency Response – Authorities use sentiment data to monitor and respond to public concerns during crises.
    • AI and Predictive Analytics – Enhances AI-driven sentiment models for forecasting consumer behavior and regional mood shifts.

    Accessing Techsalerator’s Location Sentiment Data

    To obtain Techsalerator’s Location Sentiment Data for Nicaragua, contact info@techsalerator.com with your specific requirements. Techsalerator provides customized datasets based on requested fields, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields

    • Geographic Coordinates
    • Sentiment Score
    • Social Media Mentions
    • Industry-Specific Sentiment
    • Time-Based Sentiment Trends
    • Consumer Behavior Insights
    • Crisis and Event-Based Sentiment Analysis
    • Regional Economic Sentiment
    • Public Perception Trends
    • Contact Information

    For in-depth insights into location-based sentiment trends in Nicaragua, Techsalerator’s dataset is an essential resource for businesses, governments, and data analysts.

  13. In-depth interviews on the impacts of generative artificial intelligence...

    • researchdata.edu.au
    • dro.deakin.edu.au
    Updated Jan 22, 2025
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    Uyen Uyen Banh; Ho Yin Wong (2025). In-depth interviews on the impacts of generative artificial intelligence (GenAI) on marketing professionals [Dataset]. http://doi.org/10.26187/DEAKIN.28050095.V1
    Explore at:
    Dataset updated
    Jan 22, 2025
    Dataset provided by
    Deakin Universityhttp://www.deakin.edu.au/
    Authors
    Uyen Uyen Banh; Ho Yin Wong
    Description

    Extant research on the impact of generative Artificial Intelligence (GenAI) has significantly advanced our understanding of its effects on various aspects of business, particularly within the marketing discipline. Despite these contributions, notable research gaps remain, prompting recent academic calls for further investigation. Our research seeks to address these gaps by answering four critical questions to deepen the understanding of how GenAI impacts marketing professionals.

    The first research question explores how GenAI influences the roles, responsibilities, and career advancement of marketing professionals. While current studies highlight shifts in required skills, such as the increasing demand for expertise in AI and digital marketing (Soni, 2023), there is limited insight into how GenAI affects marketing professionals at different career levels (Wahid, 2023). This gap in knowledge hinders the development of effective training programs tailored to address the talent gap in managing and utilizing GenAI tools. By investigating this question, our research aims to provide actionable guidance for both practitioners and educators in bridging this skills gap.

    The second research question addresses the development of frameworks and policies to regulate the ethical use of GenAI in marketing. Existing research has proposed frameworks such as PAIR (Problem, AI, Interaction, Reflection) (Acar, 2024), co-creative models for responsible AI use (Sun et al., 2024; Cillo & Rubera, 2024), and an organizing framework linking business actions, capabilities, transformations, and societal impact (Kumar, 2024). However, these frameworks inadequately address ethical concerns such as transparency, intellectual property, and bias mitigation (Kumar, 2024; Guha, 2023; Gayam, 2022). Our research will aim to develop more comprehensive and robust frameworks that respond to these critical ethical challenges.

    The third research question seeks to understand how companies can maximize the potential of GenAI while minimizing risks related to content quality, bias, and brand alignment. While studies have documented the applications of GenAI, such as ChatGPT, in content creation, customer engagement, and behavior analysis (Gupta et al., 2024), as well as its benefits like scalability and effectiveness (Kshetri et al., 2024), significant risks remain. Challenges such as accuracy issues, ethical and legal concerns, and trust erosion (Cillo & Rubera, 2024; Ding, 2024; Wahid et al., 2023) are underexplored in terms of mitigation strategies. Our research will contribute to identifying best practices and solutions to help companies optimize GenAI’s advantages while managing these risks effectively.

    Finally, the fourth research question examines the long-term effects of GenAI on customer perceptions of brand authenticity and loyalty. Recent studies call for more research on this topic, highlighting the potential implications of automated interactions on customer trust and brand relationships (Gayam, 2022; Thakur & Kushwaha, 2023; Kshetri, 2024; Chaisatikul, 2024). Addressing this question will provide insights into how companies can maintain genuine and trustworthy connections with their customers in a landscape increasingly shaped by AI-driven interactions.

    By answering these four research questions, our study aims to fill critical gaps in the current understanding of GenAI’s implications for marketing professionals, ethical practices, corporate strategy, and customer relationships, contributing valuable knowledge to both academia and industry.

    To answer these research questions, we will conduct in-depth interviews with marketing professionals at different stages of their career. The dataset illustrate the opinion of marketing professionals on how GenAI impact their work, how to leverage the benefits and mitigate risks associate with GenAI, how to use GenAI ethitically, and how the use of GenAI affect the customers' perception toward the brands/companies.

    To address these research questions, we will conduct in-depth interviews with marketing professionals at various stages of their careers. The dataset will capture their perspectives on how generative AI impacts their work, ways to leverage its benefits while mitigating associated risks, the ethical use of generative AI, and how its use influences customers' perceptions of brands and companies.


  14. D

    Media And Entertainment AI Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    Dataintelo (2025). Media And Entertainment AI Market Research Report 2033 [Dataset]. https://dataintelo.com/report/media-and-entertainment-ai-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Media and Entertainment AI Market Outlook



    According to our latest research, the global media and entertainment AI market size reached USD 15.6 billion in 2024, demonstrating robust momentum driven by rapid technological advancements and evolving consumer demands. The market is projected to grow at a CAGR of 26.1% during the forecast period, reaching a valuation of USD 129.7 billion by 2033. This remarkable growth is primarily attributed to the increasing adoption of artificial intelligence solutions across content creation, personalization, audience analytics, and operational management within the media and entertainment sector.




    The growth of the media and entertainment AI market is fundamentally being propelled by the surging demand for personalized content experiences. As consumers increasingly seek tailored recommendations and interactive content, AI-driven algorithms are playing a pivotal role in curating and delivering media that matches individual preferences. Streaming platforms, music services, and digital publishers are leveraging AI to analyze user behavior, predict trends, and enhance engagement, thereby driving subscription rates and advertising revenues. The ability of AI to automate content tagging, enhance metadata accuracy, and optimize searchability is revolutionizing digital libraries, making content discovery seamless and efficient for end-users.




    Another significant growth factor for the media and entertainment AI market is the rapid evolution in content production and management processes. AI-powered tools are streamlining workflows by automating video editing, scriptwriting, dubbing, and even special effects generation. These technologies not only reduce production time and costs but also enable creative professionals to focus on high-value tasks. In live events and broadcasting, AI is enhancing real-time analytics, automating camera operations, and enabling dynamic advertisement placements. The integration of AI in production planning and management is fostering innovation, scalability, and operational efficiency across the industry, further accelerating market expansion.




    The proliferation of digital platforms and the exponential growth of user-generated content have also intensified the need for sophisticated audience analytics and marketing strategies. AI is empowering media companies to extract actionable insights from vast datasets, enabling targeted advertising, sentiment analysis, and campaign optimization. This data-driven approach is transforming how brands engage with audiences, maximize ROI, and measure campaign effectiveness. Furthermore, the adoption of AI in combating digital piracy, ensuring copyright compliance, and moderating content is reinforcing the integrity and security of digital assets, thus fostering a conducive environment for market growth.




    From a regional perspective, North America currently leads the media and entertainment AI market, accounting for the largest revenue share in 2024. This dominance is attributed to the presence of major technology companies, advanced digital infrastructure, and high consumer adoption rates. However, the Asia Pacific region is emerging as the fastest-growing market, driven by rising internet penetration, increasing smartphone usage, and the rapid expansion of digital media platforms. Europe follows closely, with significant investments in AI research and a strong focus on digital transformation within the creative industries. These regional dynamics are shaping the competitive landscape and influencing the strategic priorities of market participants worldwide.



    Component Analysis



    The component segment of the media and entertainment AI market is categorized into software, hardware, and services, each playing a crucial role in the overall ecosystem. AI-driven software solutions are at the forefront, enabling functionalities such as content recommendation, natural language processing, image and video analysis, and automated editing. These software platforms are increasingly being integrated with existing media workflows, offering scalability and flexibility. The demand for advanced analytics, real-time processing, and cloud-based AI applications is further driving the adoption of software solutions across the industry.




    Hardware components form the backbone of AI infrastructure within the media and entertainment sector. High-performance servers, GPUs, and specializ

  15. D

    Database Marketing Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 10, 2025
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    Data Insights Market (2025). Database Marketing Report [Dataset]. https://www.datainsightsmarket.com/reports/database-marketing-1399153
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The Database Marketing market is experiencing robust growth, driven by the increasing need for personalized customer experiences and the availability of sophisticated data analytics tools. The market's expansion is fueled by the rising adoption of advanced technologies like AI and machine learning, enabling businesses to segment their audiences more precisely and deliver targeted marketing campaigns. This results in improved customer engagement, higher conversion rates, and ultimately, increased return on investment (ROI). The market is witnessing a shift towards multi-channel strategies, integrating database marketing efforts across various platforms like email, social media, and mobile applications. This omnichannel approach allows businesses to reach their target audience more effectively and create a cohesive brand experience. While data privacy regulations present a challenge, the market is adapting by emphasizing transparency and consent-based marketing practices. Key players are innovating to enhance data security and compliance, ensuring ethical and responsible use of customer data. We estimate the current market size (2025) at approximately $15 billion, with a Compound Annual Growth Rate (CAGR) of 12% projecting a market size of over $30 billion by 2033. This growth is projected across various segments, including software, services, and consulting, with significant contributions from North America and Europe. The competitive landscape is marked by both established players like Adobe (Marketo) and Oracle, and emerging companies focusing on niche solutions and specialized technologies. These companies are constantly innovating to offer advanced functionalities such as predictive analytics, customer journey mapping, and real-time personalization. The strategic partnerships and acquisitions within the industry indicate a dynamic and rapidly evolving market. To maintain a competitive edge, companies are prioritizing investment in research and development, focusing on improving their platforms' capabilities and expanding their service offerings to meet the evolving needs of businesses. The future of database marketing hinges on responsible data usage, continuous technological advancements, and a focus on delivering personalized and engaging customer experiences.

  16. d

    B2B Marketing Data | Global Marketing Leaders | Verified Profiles with...

    • datarade.ai
    Updated Oct 27, 2021
    + more versions
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    Success.ai (2021). B2B Marketing Data | Global Marketing Leaders | Verified Profiles with Contact Info for CMOs & Marketers | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-marketing-data-global-marketing-leaders-verified-prof-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Success.ai
    Area covered
    Austria, Latvia, Taiwan, Lesotho, Togo, Marshall Islands, Singapore, Ukraine, Micronesia (Federated States of), Central African Republic
    Description

    Success.ai’s B2B Marketing Data and Contact Data for Global Marketing Leaders empowers businesses to connect with chief marketing officers (CMOs), marketing strategists, and industry decision-makers worldwide. With access to over 170M verified profiles, including work emails and direct phone numbers, this dataset ensures your outreach efforts reach the right audience effectively.

    Our AI-powered platform continuously updates and validates contact data to maintain 99% accuracy, providing actionable insights for marketing campaigns, sales strategies, and recruitment initiatives. Whether you’re targeting CMOs in Fortune 500 companies or strategists in innovative startups, Success.ai delivers reliable data tailored to meet your business goals.

    Key Features of Success.ai’s Marketing Leader Contact Data - Comprehensive Coverage Across the Marketing Industry Access profiles for marketing leaders across diverse industries and regions:

    Chief Marketing Officers (CMOs): Decision-makers shaping global marketing strategies. Marketing Strategists: Experts driving innovative campaigns and business growth. Digital Marketing Heads: Leaders overseeing digital transformation initiatives. Brand Managers: Professionals managing brand identity and outreach efforts. Content and SEO Specialists: Key contributors to content strategy and visibility.

    • Verified Accuracy with Continuous Updates

    AI-Validated Accuracy: Industry-leading AI technology ensures every contact detail is verified. Real-Time Profile Updates: Data is continuously refreshed to reflect the most current information. Reliable Engagement: Minimized bounce rates for seamless communication with decision-makers.

    • Tailored Data Delivery Options Choose the delivery method that aligns with your operational requirements:

    API Integration: Seamlessly integrate contact data into your CRM or marketing platforms. Custom Flat Files: Receive datasets customized to your specifications, ready for immediate use.

    Why Choose Success.ai for Marketing Data?

    • Best Price Guarantee We provide the most competitive pricing in the industry, ensuring the best value for global, verified contact data.

    • Global Compliance and Ethical Practices Our data collection and processing adhere to strict compliance standards, including GDPR, CCPA, and other regional data regulations, ensuring ethical and secure usage.

    • Strategic Advantages for Your Business

      Precise Marketing Campaigns: Create highly targeted campaigns that resonate with marketing leaders. Effective Sales Outreach: Accelerate sales processes with direct access to CMOs and strategists. Recruitment Efficiency: Source top-tier marketing talent with verified contact data. Market Intelligence: Leverage enriched data insights to understand industry trends and optimize strategies. Partnership Development: Build and nurture relationships with influential marketing professionals.

    • Data Highlights 170M+ Verified Professional Profiles 50M Work Emails 700M Global Professional Profiles 70M Verified Company Profiles

    Key APIs for Enhanced Functionality

    • Enrichment API Keep your contact database updated with real-time enrichment capabilities, ensuring relevance for dynamic outreach efforts.

    • Lead Generation API Maximize your lead generation campaigns with accurate, verified data, including contact information for global marketing leaders. Our API supports up to 860,000 API calls per day, enabling robust scalability for your business.

    • Use Cases

    1. Targeted Marketing Campaigns Reach CMOs and marketing strategists with personalized campaigns designed to deliver measurable ROI.

    2. Sales Pipeline Acceleration Engage directly with decision-makers to shorten sales cycles and boost deal closure rates.

    3. Talent Recruitment Identify and recruit top-tier marketing talent to strengthen your team.

    4. Partnership Building Establish meaningful connections with global marketing leaders to foster collaboration.

    5. Strategic Planning Utilize detailed firmographic and demographic insights for data-driven decision-making.

    What Makes Success.ai Stand Out?

    • Unmatched Data Quality: AI-driven verification ensures 99% accuracy for all profiles. Comprehensive Reach: Covering marketing professionals across various industries and regions worldwide.
    • Flexible Integration Options: Customizable delivery formats to suit your business needs.
    • Ethical and Compliant Data: Fully aligned with global data protection regulations.

    Success.ai’s B2B Contact Data for Global Marketing Leaders is your ultimate solution for connecting with top-tier marketing professionals. From CMOs driving global strategies to strategists shaping impactful campaigns, our database ensures you reach the right audience to grow your business.

    No one beats us on price. Period.

  17. G

    Affiliate Offer Optimization with AI Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
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    Growth Market Reports (2025). Affiliate Offer Optimization with AI Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/affiliate-offer-optimization-with-ai-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Affiliate Offer Optimization with AI Market Outlook




    The global Affiliate Offer Optimization with AI market size reached USD 1.42 billion in 2024, according to our latest research, and is expected to grow at a robust CAGR of 16.7% from 2025 to 2033. By the end of 2033, the market is forecasted to attain a value of USD 5.14 billion, driven by increasing adoption of artificial intelligence technologies in digital marketing, rising competition among affiliate networks, and the growing need for real-time data-driven decision-making. As per our latest research, the integration of AI into affiliate marketing is revolutionizing how offers are optimized, resulting in higher conversion rates, improved ROI, and more personalized customer experiences.




    One of the primary growth drivers for the Affiliate Offer Optimization with AI market is the exponential increase in digital advertising spend, especially among e-commerce and financial services companies. Brands and advertisers are increasingly seeking advanced AI-powered solutions to analyze vast datasets, identify high-performing offers, and automate the optimization process for affiliate campaigns. This shift is not only improving efficiency but also reducing manual intervention, thus lowering operational costs for businesses. The ability of AI to provide granular insights into customer behavior, preferences, and engagement patterns is enabling marketers to tailor offers in real-time, which is significantly boosting conversion rates and driving market growth.




    Another significant factor contributing to the expansion of the Affiliate Offer Optimization with AI market is the rising complexity and fragmentation of the affiliate ecosystem. With thousands of publishers, networks, and advertisers operating globally, managing and optimizing offers manually has become increasingly challenging. AI-driven platforms leverage machine learning algorithms to dynamically match the right offers with the right audiences, predict trends, and optimize bidding strategies. This has created a competitive edge for businesses that invest in AI-powered affiliate marketing tools, as they can adapt more swiftly to market changes and maximize revenue opportunities. Furthermore, AI’s ability to detect fraudulent activities and ensure compliance is fostering greater trust among stakeholders in the affiliate marketing value chain.




    The rapid evolution of consumer expectations and the demand for personalized user experiences are also fueling the growth of the Affiliate Offer Optimization with AI market. Modern consumers expect relevant and timely offers, and AI enables marketers to deliver hyper-personalized content at scale. By leveraging natural language processing, predictive analytics, and real-time data processing, AI platforms can anticipate user intent and optimize offers accordingly. This not only enhances user satisfaction but also increases the lifetime value of customers for advertisers and publishers. As businesses continue to prioritize customer-centric strategies, the adoption of AI-powered affiliate optimization solutions is set to accelerate further in the coming years.




    Regionally, North America continues to dominate the Affiliate Offer Optimization with AI market, accounting for over 38% of the global revenue in 2024, followed by Europe and Asia Pacific. The presence of leading technology vendors, a mature digital advertising ecosystem, and high adoption rates of AI technologies are key factors supporting North America’s leadership. However, Asia Pacific is witnessing the fastest growth, driven by the proliferation of e-commerce platforms, rapid digitalization, and increasing investments in AI infrastructure. Latin America and the Middle East & Africa are also emerging as promising markets, supported by growing internet penetration and the expansion of affiliate marketing networks.





    Component Analysis




    The Component segment of the Affiliate Offer Optimization with AI market is bifurcated int

  18. Database & Directory Publishing in the US - Market Research Report...

    • ibisworld.com
    Updated Nov 15, 2024
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    IBISWorld (2024). Database & Directory Publishing in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/database-directory-publishing-industry/
    Explore at:
    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2014 - 2029
    Description

    With the phone book era far in the past, database and directory publishers have been forced to transform their business approach, focusing on their digital presence. Despite many publishers rapidly moving away from print services, they are experiencing immovable competition from online search engines and social media platforms within the digital space, negatively affecting revenue growth potential. Industry revenue has been eroding at a CAGR of 4.4% over the past five years and in 2024, a 3.9% drop has led to the industry revenue totaling $4.4 billion. Profit continues to drop in line with revenue, accounting for 4.7% of revenue as publishers invest more in their digital platforms. Interest in printed directories has disappeared as institutional clients and consumers have continued their shift to convenient online resources. Declining demand for print advertising has curbed revenue growth and online revenue has only slightly mitigated this downturn. Though many traditional publishers, such as Yellow Pages, now operate under parent companies with digital resources, directory publishers remain low on the list of options businesses have to choose from in digital advertising. Due to the convenience and connectivity that Facebook and Google services offer, traditional directory publishers have a limited ability to compete. Many providers have rebranded and tailored their services toward client needs, though these efforts have only had a marginal impact on revenue growth. The industry is forecast to decline at an accelerated CAGR of 5.2% over the next five years, reaching an estimated $3.4 billion in 2029, as businesses and consumers continually turn to digital alternatives for information and advertising opportunities. As AI and digital technology innovation expands, social media company products will likely improve at a faster rate than the digital offerings that directory publishers can provide. Though these companies will seek external partnerships to cut costs, they face an uphill battle to boost their visibility and reverse consumer habit trends.

  19. d

    Small Business Contact Data | North American Small Business Owners |...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Small Business Contact Data | North American Small Business Owners | Verified Contact Details from 170M Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/small-business-contact-data-north-american-small-business-o-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Success.ai
    Area covered
    Bermuda, Mexico, Greenland, Belize, Honduras, Guatemala, United States of America, Costa Rica, Panama, Saint Pierre and Miquelon
    Description

    Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.

    Key Features of the Dataset:

    Verified Contact Details

    Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.

    AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.

    Detailed Professional Insights

    Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.

    Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.

    Business-Specific Information

    Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.

    Continuously Updated Data

    Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.

    Why Choose Success.ai?

    At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:

    Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.

    Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.

    Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.

    Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.

    Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.

    Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.

    Use Cases: This dataset empowers you to:

    Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:

    Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:

    Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.

    Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.

    Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.

    Get Started Today Request a sample or customize your dataset to fit your unique...

  20. Success.ai | EU Company Data | Enrichment APIs | 28M+ Full Company Profiles...

    • datarade.ai
    Updated Oct 20, 2024
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    Success.ai (2024). Success.ai | EU Company Data | Enrichment APIs | 28M+ Full Company Profiles & Contact Data – Best Price & Quality Guarantee [Dataset]. https://datarade.ai/data-products/success-ai-eu-company-data-enrichment-apis-28m-full-co-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 20, 2024
    Dataset provided by
    Area covered
    Cabo Verde, Tunisia, Philippines, Benin, Faroe Islands, Tuvalu, Haiti, Hong Kong, Turkmenistan, Iran (Islamic Republic of)
    Description

    Success.ai offers a powerful platform for accessing extensive EU company data, designed to meet the dynamic marketing and advertising needs across diverse industries. This specialized dataset includes detailed profiles of over 28 million companies, from burgeoning startups to established private firms, tailored to support precise data enrichment and targeted marketing.

    Enrichment API Capabilities:

    • Seamless Data Integration: Utilize our enrichment APIs to integrate and update your systems with real-time data, enhancing data accuracy and utility.
    • Custom API Solutions: Tailor API services to your specific needs, ensuring you receive the most relevant data for your business initiatives.

    Key Benefits:

    • Diverse Data Collection: Our comprehensive database covers a broad spectrum of EU company data, offering rich insights for varied marketing strategies.
    • Tailored for Marketing Excellence: Maximize engagement and ROI in your email marketing, B2B marketing, and advertising campaigns with high-quality, targeted data.
    • Global Reach with Local Insights: Our data spans across the EU, providing detailed insights tailored to both global strategies and localized campaigns.
    • Actionable Insights for Strategic Marketing: Refine your marketing tactics with precise data, reaching the right audience with the right message.

    Key Use Cases Leveraged by Success.ai:

    • Data Enrichment: Enhance your database quality by integrating detailed EU company data, ensuring accuracy and relevance in your marketing efforts.
    • Email Marketing: Utilize refined data to craft personalized email campaigns that resonate with your target audience, driving better engagement and conversions.
    • B2B Marketing: Access detailed EU company profiles to design bespoke B2B marketing strategies that reach decision-makers effectively.
    • Advertising: Leverage precise company insights to optimize ad targeting, maximizing your advertising spend and improving campaign performance.
    • Comprehensive Marketing Support: Utilize our data to support a wide range of marketing activities, from lead generation to brand awareness campaigns.

    Why Choose Success.ai?

    • Best Price & Quality Guarantee: We ensure you receive the highest value for your data investment, beating any competitor’s pricing.
    • Advanced Validation Techniques: Our datasets are verified through sophisticated AI algorithms, ensuring a 99% accuracy rate.
    • Customized Data Solutions: Receive datasets tailored to your specific needs, from broad market trends to niche market data.
    • Compliance and Integrity: All our data practices adhere to GDPR and other international regulations, ensuring ethical usage and peace of mind.

    Get Started with Success.ai Today: Let Success.ai transform your marketing and advertising strategies with our comprehensive and reliable EU company data. Contact us to discover how our tailored solutions can help you achieve your business goals and maintain a competitive edge.

    And no one beats us on price. Period.

Share
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Close
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n. aniruddhan (2024). Online Advertising Digital Marketing data [Dataset]. https://www.kaggle.com/datasets/naniruddhan/online-advertising-digital-marketing-data
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Online Advertising Digital Marketing data

Analyze the performance of the online digital marketing data, get key insights!

Explore at:
zip(225619 bytes)Available download formats
Dataset updated
Jul 23, 2024
Authors
n. aniruddhan
License

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

Description

This dataset provides a comprehensive view of the online advertising performance for "Company X" over a three-month period in 2020. Here's an overview of its components and potential analyses you can perform:

Dataset Components: Day: Date of the advertising campaign. Campaign: Specific group targeting variable set by Company X. User Engagement: Level of user interaction with the ads. Banner: Ad size served by "Advert Firm A". Placement: Publisher space where ads are served (websites/apps). Displays: Number of ads shown by "Advert Firm A". Cost: Price paid to serve the ads to the publisher. Clicks: Number of times users clicked on the ads. Revenue: Amount

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