100+ datasets found
  1. Marketing Campaigns Data Set

    • kaggle.com
    zip
    Updated May 4, 2024
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    Sahil Bajaj (2024). Marketing Campaigns Data Set [Dataset]. https://www.kaggle.com/datasets/sahilnbajaj/marketing-campaigns-data-set
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    zip(62159 bytes)Available download formats
    Dataset updated
    May 4, 2024
    Authors
    Sahil Bajaj
    License

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

    Description

    Data Description: The variables birth-year, education, income, and so on are related to the first 'P' or 'People' in the tabular data provided to the user. The amount spent on wine, fruits, gold, etc., is related to ‘Product’. The information pertinent to sales channels, like websites, stores, etc., is related to ‘Place’, and the fields which talk about promotions and results of different campaigns are related to ‘Promotion’.

  2. c

    Direct Marketing Campaigns (Bank Marketing) Dataset

    • cubig.ai
    zip
    Updated Jun 5, 2025
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    CUBIG (2025). Direct Marketing Campaigns (Bank Marketing) Dataset [Dataset]. https://cubig.ai/store/products/425/direct-marketing-campaigns-bank-marketing-dataset
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Synthetic data generation using AI techniques for model training, Privacy-preserving data transformation via differential privacy
    Description

    1) Data Introduction • The Direct Marketing Campaigns (Bank Marketing) Dataset is a dataset built to predict time deposits (deposit) based on customer characteristics and campaign history in Portuguese banks' phone-based direct marketing campaigns.

    2) Data Utilization (1) Direct Marketing Campaigns (Bank Marketing) Dataset has characteristics that: • Consisting of 41,188 rows, individual case data for calls made to customers during each row marketing campaign. • This dataset contains 21 columns (characteristics) that provide detailed information about each phone and attributes related to customers and campaigns. (2) Direct Marketing Campaigns (Bank Marketing) Dataset can be used to: • Marketing Campaign Performance Forecasting and Customer Targeting: Using customer characteristics and historical campaign data, it can be used to predict customers who are likely to sign up for time deposits and to establish effective marketing targeting strategies. • Customer Behavior Analysis and Marketing Strategy Optimization: You can optimize marketing strategies by analyzing campaign response patterns, characteristics by customer group, and correlations with economic indicators, and use them for customer segmentation and customized product suggestions.

  3. Marketing and Product Performance Dataset

    • kaggle.com
    zip
    Updated Dec 8, 2024
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    Imran Ali Shah (2024). Marketing and Product Performance Dataset [Dataset]. https://www.kaggle.com/datasets/imranalishahh/marketing-and-product-performance-dataset
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    zip(565749 bytes)Available download formats
    Dataset updated
    Dec 8, 2024
    Authors
    Imran Ali Shah
    License

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

    Description

    Description

    This dataset offers a comprehensive view of marketing and product performance metrics, designed to assist researchers, data analysts, and marketers in evaluating campaign efficiency, product sales, and customer engagement. It contains 10,000 rows of synthetically generated data, simulating real-world marketing scenarios to provide a rich basis for analysis and experimentation.

    The dataset includes information on: - Campaign Performance: Budgets, clicks, conversions, ROI, and revenue generated. - Product Details: Units sold, discount levels, and bundle pricing. - Customer Insights: Subscription tiers, lengths, satisfaction ratings, and purchasing behavior. - Promotional Context: Flash sales, discount levels, and common keyword themes.

    Key Features

    • Campaign Insights: Understand how budget allocation impacts clicks, conversions, and revenue.
    • Product Metrics: Analyze pricing strategies, bundles, and unit sales.
    • Customer Engagement: Investigate satisfaction levels, subscription behavior, and response to discounts.
    • Synthetic Data: All data points are artificially generated to protect privacy while maintaining statistical integrity.

    File Details

    • File Name: marketing_and_product_performance.csv
    • Rows: 10,000
    • Columns: 17

    Applications

    This dataset is ideal for: - Marketing Analysis: Optimize campaigns and understand product success metrics. - Predictive Modeling: Train models for conversion rate prediction, revenue forecasting, and customer segmentation. - Educational Use: Practice data exploration, cleaning, and analysis in a realistic marketing context.

    License

    This dataset is shared for educational and research purposes. Please attribute the source when using it in any project or publication.

  4. 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
    Indonesia, Fiji, Tokelau, Lebanon, Austria, Bouvet Island, Kenya, Japan, Luxembourg, Montenegro
    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...

  5. 📈 Predict Conversion in Digital Marketing Dataset

    • kaggle.com
    zip
    Updated Jun 21, 2024
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    Rabie El Kharoua (2024). 📈 Predict Conversion in Digital Marketing Dataset [Dataset]. https://www.kaggle.com/datasets/rabieelkharoua/predict-conversion-in-digital-marketing-dataset/code
    Explore at:
    zip(541571 bytes)Available download formats
    Dataset updated
    Jun 21, 2024
    Authors
    Rabie El Kharoua
    License

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

    Description

    Overview

    This dataset provides a comprehensive view of customer interactions with digital marketing campaigns. It includes demographic data, marketing-specific metrics, customer engagement indicators, and historical purchase data, making it suitable for predictive modeling and analytics in the digital marketing domain.

    Features

    Demographic Information

    • CustomerID: Unique identifier for each customer.
    • Age: Age of the customer.
    • Gender: Gender of the customer (Male/Female).
    • Income: Annual income of the customer in USD.

    Marketing-specific Variables

    • CampaignChannel: The channel through which the marketing campaign is delivered (Email, Social Media, SEO, PPC, Referral).
    • CampaignType: Type of the marketing campaign (Awareness, Consideration, Conversion, Retention).
    • AdSpend: Amount spent on the marketing campaign in USD.
    • ClickThroughRate: Rate at which customers click on the marketing content.
    • ConversionRate: Rate at which clicks convert to desired actions (e.g., purchases).
    • AdvertisingPlatform: Confidential.
    • AdvertisingTool: Confidential.

    Customer Engagement Variables

    • WebsiteVisits: Number of visits to the website.
    • PagesPerVisit: Average number of pages visited per session.
    • TimeOnSite: Average time spent on the website per visit (in minutes).
    • SocialShares: Number of times the marketing content was shared on social media.
    • EmailOpens: Number of times marketing emails were opened.
    • EmailClicks: Number of times links in marketing emails were clicked.

    Historical Data

    • PreviousPurchases: Number of previous purchases made by the customer.
    • LoyaltyPoints: Number of loyalty points accumulated by the customer.

    Target Variable

    • Conversion: Binary variable indicating whether the customer converted (1) or not (0).

    Potential Applications

    • Predictive modeling of customer conversion rates.
    • Analyzing the effectiveness of different marketing channels and campaign types.
    • Identifying key factors driving customer engagement and conversion.
    • Optimizing ad spend and campaign strategies to improve ROI.

    Usage

    This dataset is ideal for data scientists and marketing analysts looking to explore and model customer behavior in response to digital marketing efforts. It can be used for machine learning projects, A/B testing analysis, and more.

    Dataset Usage and Attribution Notice

    This dataset, shared by Rabie El Kharoua, is original and has never been shared before. It is made available under the CC BY 4.0 license, allowing anyone to use the dataset in any form as long as proper citation is given to the author. A DOI is provided for proper referencing. Please note that duplication of this work within Kaggle is not permitted.

    Exclusive Synthetic Dataset

    This dataset is synthetic and was generated for educational purposes, making it ideal for data science and machine learning projects. It is an original dataset, owned by Mr. Rabie El Kharoua, and has not been previously shared. You are free to use it under the license outlined on the data card. The dataset is offered without any guarantees. Details about the data provider will be shared soon.

  6. d

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

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

    Premium B2C Consumer Database - 269+ Million US Records

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

    Core Database Statistics

    Consumer Records: Over 269 million

    Email Addresses: Over 160 million (verified and deliverable)

    Phone Numbers: Over 76 million (mobile and landline)

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

    Geographic Coverage: Complete US (all 50 states)

    Compliance Status: CCPA compliant with consent management

    Targeting Categories Available

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

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

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

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

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

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

    Multi-Channel Campaign Applications

    Deploy across all major marketing channels:

    Email marketing and automation

    Social media advertising

    Search and display advertising (Google, YouTube)

    Direct mail and print campaigns

    Telemarketing and SMS campaigns

    Programmatic advertising platforms

    Data Quality & Sources

    Our consumer data aggregates from multiple verified sources:

    Public records and government databases

    Opt-in subscription services and registrations

    Purchase transaction data from retail partners

    Survey participation and research studies

    Online behavioral data (privacy compliant)

    Technical Delivery Options

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

    Delivery Methods: Secure FTP, API integration, direct download

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

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

    Minimum Orders: Flexible based on targeting complexity

    Unique Value Propositions

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

    Cross-Platform Integration: Seamless deployment to major ad platforms

    Real-Time Updates: Monthly data refreshes ensure maximum accuracy

    Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

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

    Ideal Customer Profiles

    E-commerce retailers seeking customer acquisition

    Financial services companies targeting specific demographics

    Healthcare organizations with compliant marketing needs

    Automotive dealers and service providers

    Home improvement and real estate professionals

    Insurance companies and agents

    Subscription services and SaaS providers

    Performance Optimization Features

    Lookalike Modeling: Create audiences similar to your best customers

    Predictive Scoring: Identify high-value prospects using AI algorithms

    Campaign Attribution: Track performance across multiple touchpoints

    A/B Testing Support: Split audiences for campaign optimization

    Suppression Management: Automatic opt-out and DNC compliance

    Pricing & Volume Options

    Flexible pricing structures accommodate businesses of all sizes:

    Pay-per-record for small campaigns

    Volume discounts for large deployments

    Subscription models for ongoing campaigns

    Custom enterprise pricing for high-volume users

    Data Compliance & Privacy

    VIA.tools maintains industry-leading compliance standards:

    CCPA (California Consumer Privacy Act) compliant

    CAN-SPAM Act adherence for email marketing

    TCPA compliance for phone and SMS campaigns

    Regular privacy audits and data governance reviews

    Transparent opt-out and data deletion processes

    Getting Started

    Our data specialists work with you to:

    1. Define your target audience criteria

    2. Recommend optimal data selections

    3. Provide sample data for testing

    4. Configure delivery methods and formats

    5. Implement ongoing campaign optimization

    Why We Lead the Industry

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

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

  7. d

    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
    United States of America, Greenland, Bermuda, Saint Pierre and Miquelon, Guatemala, Panama, Mexico, Belize, Costa Rica, Honduras
    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...

  8. Click-through rates of marketing e-mails worldwide 2023, by country

    • statista.com
    Updated Dec 10, 2024
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    J. G. Navarro (2024). Click-through rates of marketing e-mails worldwide 2023, by country [Dataset]. https://www.statista.com/topics/1446/e-mail-marketing/
    Explore at:
    Dataset updated
    Dec 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    J. G. Navarro
    Description

    In 2023, marketing e-mails in Canada had a click-through rate of 8.68 percent, highest among the selected countries presented in the data set. In Germany, the rate stood at 2.37 percent.

  9. c

    CustomerBehaviour Dataset

    • cubig.ai
    zip
    Updated Jun 22, 2025
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    CUBIG (2025). CustomerBehaviour Dataset [Dataset]. https://cubig.ai/store/products/507/customerbehaviour-dataset
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 22, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Synthetic data generation using AI techniques for model training, Privacy-preserving data transformation via differential privacy
    Description

    1) Data Introduction • The Customer_Behaviour Dataset is a structured dataset designed for binary classification, using features such as gender, age, and annual salary to predict whether a customer has purchased a specific product.

    2) Data Utilization (1) Characteristics of the Customer_Behaviour Dataset: • The dataset consists of 5 variables, including customer ID, gender, age, salary, and purchase status, where the purchase decision serves as a binary classification label.

    (2) Applications of the Customer_Behaviour Dataset: • Customer behavior prediction model training: It can be used to train machine learning classification models that predict product purchase decisions based on demographic and financial attributes such as age, gender, and income. • Marketing strategy development: By identifying customers with a high likelihood of purchase, the dataset can support the development of targeted marketing campaigns and product recommendation systems.

  10. Archived - Advertising Expenditures by Major Campaign

    • open.canada.ca
    csv, html, xml
    Updated Apr 23, 2025
    + more versions
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    Public Services and Procurement Canada (2025). Archived - Advertising Expenditures by Major Campaign [Dataset]. https://open.canada.ca/data/en/dataset/b0b953b6-7a9c-4a3e-bed4-ce5b39b6a99a
    Explore at:
    html, xml, csvAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Public Services and Procurement Canadahttp://www.pwgsc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Apr 1, 2015 - Mar 31, 2020
    Description

    This dataset provides information on advertising expenditures reported by Government of Canada (GC) institutions and major campaigns, from fiscal year 2015/2016 to fiscal year 2019/2020. The information is broken down by fiscal year, GC institution and campaign, also including a description of the campaign, production expenditures, media expenditures, as well as the media types and the creative agency used. For more information on the content of this dataset, consult the supporting documentation and data dictionary. Please find below the up to date datasets for advertising expenditures: - Advertising Expenditures by Institution (https://open.canada.ca/data/en/dataset/d2d94471-e34b-482d-a0e1-895a09e2a6d2) - Advertising Media expenditures associated with agency responsible for media planning and buying, the Agency of Record (AOR), for the Government of Canada (https://open.canada.ca/data/en/dataset/f9c132bc-4573-4bfd-bab5-3d242740bfea) For more information on GC advertising activities and expenditures, consult the Annual Reports on Government of Canada Advertising Activities: https://www.tpsgc-pwgsc.gc.ca/pub-adv/annuel-annual-eng.html#reports

  11. Small Business Contact Data | Writing, Editing & Publishing Professionals...

    • datarade.ai
    Updated Oct 27, 2021
    + more versions
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    Success.ai (2021). Small Business Contact Data | Writing, Editing & Publishing Professionals Worldwide | From 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/small-business-contact-data-small-business-owners-worldwide-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Korea (Democratic People's Republic of), Mali, Lebanon, Virgin Islands (U.S.), Nepal, Malawi, Kenya, Montserrat, Jersey, Botswana
    Description

    Unlock the potential of the global writing, editing, and publishing industry with Success.ai's Small Business Contact Data. Our extensive database provides access to verified profiles of professionals worldwide, curated from a dataset that encompasses over 700 million global entries. This specialized collection includes work emails, phone numbers, and comprehensive professional information, tailored to meet the needs of small businesses and independent professionals in the writing, editing, and publishing sectors.

    Why Choose Success.ai’s Small Business Contact Data?

    Targeted Professional Data: Gain access to a niche market of small business owners and freelancers in the writing, editing, and publishing industries. Global Reach: Our dataset covers professionals from all over the world, enabling you to execute international marketing campaigns and network expansion. Verified Contact Information: Ensure the reliability of your outreach with work emails and phone numbers that are regularly updated and verified for accuracy. Data Features:

    Comprehensive Profiles: Detailed insights into the professional lives of industry experts, including their job roles, career history, and areas of expertise. Industry-Specific Details: Information tailored to the nuances of the writing, editing, and publishing fields, helping you to better understand and target potential leads. Segmentation Options: Easily segment data by geographic location, professional experience, or specific industry niches such as freelance writers, independent publishers, or small press editors. Customizable Delivery and Integration: Success.ai offers flexible data solutions that can be customized to fit your specific requirements. Whether you need a one-time download or continuous API access for real-time data integration, our formats are designed to seamlessly integrate into your existing business workflows.

    Competitive Pricing with Best Price Guarantee: We commit to providing not only the highest quality data but also the most affordable pricing in the industry. Our Best Price Guarantee ensures you receive the best market rate for your data needs.

    Ideal Use Cases for Small Business Contact Data:

    Direct Marketing Campaigns: Utilize accurate contact details to send personalized email or direct mail campaigns to industry professionals. Networking and Partnership Development: Connect with key industry players to forge partnerships or collaborate on publishing projects. Event Promotion: Target industry-specific events like writing workshops, book fairs, or literary conferences with tailored invitations. Market Research: Analyze trends in the publishing industry, track the rise of independent writing professionals, or assess market needs. Quality Assurance and Compliance:

    Data Quality: Our data undergoes rigorous validation processes to maintain high accuracy and usefulness. Legal Compliance: All data collection and processing are performed in strict accordance with global data protection regulations, including GDPR. Support and Professional Consultation:

    Dedicated Support: Our team is ready to assist you with any queries or custom requests regarding the dataset. Expert Consultation: Leverage our expertise in data-driven marketing to enhance your outreach strategies and achieve better results. Start Reaching Writing and Publishing Professionals Today: With Success.ai’s Small Business Contact Data, you can start connecting with writing, editing, and publishing professionals globally. Enhance your marketing efforts, expand your professional network, and grow your presence in the industry with our reliable and comprehensive data solutions.

    Contact us to explore our offerings and take your business to the next level with tailored data that meets your exact needs.

  12. 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
    Explore at:
    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.

  13. c

    Easy Analysis Of Company's Ideal Customers Dataset

    • cubig.ai
    zip
    Updated Jun 22, 2025
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    CUBIG (2025). Easy Analysis Of Company's Ideal Customers Dataset [Dataset]. https://cubig.ai/store/products/505/easy-analysis-of-companys-ideal-customers-dataset
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 22, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Privacy-preserving data transformation via differential privacy, Synthetic data generation using AI techniques for model training
    Description

    1) Data Introduction • The Easy Analysis Of Company's Ideal Customers Dataset is a structured dataset designed to identify ideal customer segments and support the development of effective marketing strategies based on customer demographics, purchasing patterns, and campaign responses. It includes a wide range of features such as age, income, family composition, product spending, and discount usage, with a focus on the response variable indicating whether the customer responded to the last marketing campaign.

    2) Data Utilization (1) Characteristics of the Easy Analysis Of Company's Ideal Customers Dataset: • The dataset includes diverse features useful for customer segmentation, such as education level, marital status, annual income, number of children, and marketing campaign participation history. The response field serves as a binary classification label indicating whether the customer responded to the final campaign.

    (2) Applications of the Easy Analysis Of Company's Ideal Customers Dataset: • Marketing campaign response prediction: This dataset can be used to train machine learning classification models to predict the likelihood of a customer responding to a marketing campaign. • Customer segmentation and strategic planning: By identifying customer segments with high response potential, the dataset can support targeted marketing, personalized promotion design, and customer retention strategies.

  14. d

    Comprehensive Data of Consumer Marketing Insights | US | 300M Identities

    • datarade.ai
    Updated Nov 15, 2024
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    VisitIQ™ (2024). Comprehensive Data of Consumer Marketing Insights | US | 300M Identities [Dataset]. https://datarade.ai/data-products/visitiq-consumer-marketing-data-comprehensive-data-of-co-visitiq
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    VisitIQ™
    Area covered
    United States of America
    Description

    At VisitIQ™, we provide a wealth of consumer marketing data to help businesses unlock deeper insights and optimize their B2C strategies. Our extensive and meticulously curated datasets are designed to provide a 360-degree view of your target consumers, combining a wide range of behavioral, demographic, and psychographic data points to deliver actionable insights that drive measurable results.

    Our comprehensive consumer marketing database is built to fuel data-driven marketing strategies. With our rich behavioral insights, you can understand not just who your customers are, but also how they interact with your brand, what they are looking for, and what motivates their purchasing decisions. By tracking online and offline behaviors, preferences, purchase history, and engagement patterns, VisitIQ™ enables you to segment your audience more effectively and craft personalized marketing messages that resonate with your ideal customer profiles.

    In addition to behavioral insights, our datasets provide detailed demographic information, including age, gender, location, income level, education, and household characteristics. This allows you to pinpoint your marketing efforts with incredible precision, reaching the right audience with the right message at the right time. Our data also includes psychographic attributes, such as lifestyle preferences, interests, and values, providing a deeper understanding of what drives consumer behavior and helping you create more compelling and relevant content.

    VisitIQ's™ platform integrates seamlessly with your existing marketing stack, enabling you to utilize our consumer marketing data across multiple channels, from digital and social media to email and direct mail. With our data, you can improve targeting, increase engagement, reduce customer acquisition costs, and ultimately achieve a higher return on your marketing investment.

    Whether you’re looking to attract new customers, retain existing ones, or re-engage lapsed consumers, VisitIQ™ provides the data you need to build effective, data-driven B2C marketing strategies. Our comprehensive datasets empower you to make informed decisions, optimize your marketing campaigns in real-time, and drive successful outcomes.

    Unlock the full potential of your consumer marketing efforts with VisitIQ™. Transform your approach with powerful insights, sharpen your competitive edge, and achieve unparalleled marketing success.

  15. 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, Equatorial Guinea, Tunisia, Saint Barthélemy, United Republic of, Greenland, Nicaragua, Qatar, Jordan
    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...
  16. C

    Seasonal Gap Analysis: Capturing Time-Sensitive Opportunities Before...

    • caseysseo.com
    html
    Updated Jan 1, 2025
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    Casey Miller (2025). Seasonal Gap Analysis: Capturing Time-Sensitive Opportunities Before Competitors [Dataset]. https://caseysseo.com/seasonal-gap-analysis-capturing-time-sensitive-opportunities-before-competitors
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jan 1, 2025
    Dataset provided by
    Casey's SEO
    Authors
    Casey Miller
    License

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

    Time period covered
    2024 - 2025
    Area covered
    Variables measured
    90-Day Marketing Rule, Seasonal Marketing Efficiency, Customer Acquisition Cost Savings, Customer Decision-Making Timeline, Colorado Springs Mobile Search Growth, Military Population in Colorado Springs
    Measurement technique
    Competitive analysis of online marketing efforts, Customer surveys, Industry benchmarking and secondary research
    Description

    This dataset provides a comprehensive guide on how businesses can use seasonal gap analysis to identify and capture market opportunities before competitors. It covers strategies for conducting competitor research, understanding customer search patterns, and implementing timely marketing campaigns to gain a competitive advantage. The dataset includes insights on tools, best practices, and real-world examples for Colorado Springs businesses.

  17. Beauty & Cosmetics Data | Cosmetics, Beauty & Wellness Professionals...

    • datarade.ai
    Updated Jan 1, 2018
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    Success.ai (2018). Beauty & Cosmetics Data | Cosmetics, Beauty & Wellness Professionals Worldwide | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/beauty-cosmetics-data-cosmetics-beauty-wellness-profes-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Estonia, Saint Vincent and the Grenadines, Slovenia, Tunisia, Pitcairn, Kazakhstan, Bahamas, Kosovo, Angola, Vanuatu
    Description

    Success.ai’s Beauty & Cosmetics Data for Cosmetics, Beauty & Wellness Professionals Worldwide delivers a powerful dataset tailored to connect businesses with key stakeholders in the global beauty and wellness industries. Covering professionals such as product developers, brand managers, wellness coaches, and salon owners, this dataset provides verified work emails, phone numbers, and actionable professional insights.

    With access to over 700 million verified global profiles and detailed insights from 170 million professional datasets, Success.ai ensures your outreach, marketing, and strategic initiatives are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is ideal for businesses aiming to lead in the competitive beauty and wellness market.

    Why Choose Success.ai’s Beauty & Cosmetics Data?

    1. Verified Contact Data for Effective Outreach

      • Access verified work emails, phone numbers, and LinkedIn profiles of professionals in cosmetics, skincare, beauty services, and wellness industries.
      • AI-driven validation ensures 99% accuracy, reducing bounce rates and improving communication efficiency.
    2. Comprehensive Global Coverage

      • Includes profiles of beauty and wellness professionals from regions such as North America, Europe, Asia-Pacific, and emerging markets.
      • Gain insights into global trends in cosmetics innovation, wellness services, and beauty product demand.
    3. Continuously Updated Datasets

      • Real-time updates reflect changes in leadership, professional roles, and market developments.
      • Stay aligned with the fast-paced nature of the beauty and wellness industry to identify opportunities and maintain relevance.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and lawful use of data for all business initiatives.

    Data Highlights:

    • 700M+ Verified Global Profiles: Connect with professionals across the beauty, cosmetics, and wellness industries worldwide.
    • 170M+ Professional Datasets: Access verified contact information and detailed insights into industry leaders and innovators.
    • Business Insights: Understand market trends, product innovations, and consumer preferences driving the beauty industry.
    • Decision-Maker Contacts: Engage with CEOs, brand managers, product developers, and wellness leaders driving growth and innovation.

    Key Features of the Dataset:

    1. Comprehensive Professional Profiles

      • Identify and connect with key players, including beauty brand executives, salon owners, skincare experts, and wellness influencers.
      • Access data on career histories, certifications, and industry expertise to target the right professionals effectively.
    2. Advanced Filters for Precision Targeting

      • Filter professionals by industry focus (cosmetics, wellness, skincare), geographic location, or job function.
      • Tailor campaigns to align with specific market segments, such as luxury cosmetics, wellness services, or mass-market beauty products.
    3. Global Trend Insights and Market Data

      • Leverage data on emerging beauty trends, wellness innovations, and skincare demands across regions.
      • Refine product development, marketing campaigns, and customer engagement strategies based on actionable insights.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with beauty and wellness professionals.

    Strategic Use Cases:

    1. Marketing and Brand Outreach

      • Design targeted campaigns to promote beauty products, wellness services, or skincare innovations to industry professionals.
      • Leverage verified contact data for multi-channel outreach, including email, social media, and direct engagement.
    2. Product Development and Innovation

      • Utilize market insights to guide product development and align offerings with consumer demands in cosmetics, beauty, and wellness sectors.
      • Collaborate with product developers and brand managers to refine product lines or launch new offerings.
    3. Sales and Partnership Development

      • Build relationships with wellness professionals, salon owners, and beauty distributors seeking innovative tools or products.
      • Present co-branding opportunities, supply chain partnerships, or new market expansion strategies to key decision-makers.
    4. Market Research and Competitive Analysis

      • Analyze beauty and wellness trends, consumer preferences, and emerging niches to refine business strategies.
      • Benchmark against competitors to identify gaps, growth opportunities, and high-demand product categories.

    Why Choose Success.ai?

    1. Best Price Guarantee
      • Access premium-quality beauty and wellness data at competitive prices, ensuring strong ROI for your marketing, sales, and produc...
  18. Retail Data | Retail Professionals in APAC | Verified Work Emails from 700M+...

    • datarade.ai
    Updated Jan 1, 2018
    + more versions
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    Success.ai (2018). Retail Data | Retail Professionals in APAC | Verified Work Emails from 700M+ Profiles | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/retail-data-retail-professionals-in-apac-verified-work-em-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Cyprus, Sri Lanka, Vietnam, Japan, Maldives, Israel, Korea (Republic of), Tokelau, Nauru, Indonesia
    Description

    Success.ai’s Retail Data for Retail Professionals in APAC offers a comprehensive and accurate dataset tailored for businesses and organizations aiming to connect with key players in the retail industry across the Asia-Pacific region. Covering roles such as retail managers, merchandisers, supply chain specialists, and executives, this dataset provides verified LinkedIn profiles, work emails, and professional histories.

    With access to over 700 million verified global profiles, Success.ai ensures your outreach, marketing, and collaboration strategies are powered by continuously updated, AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to excel in the dynamic and competitive APAC retail market.

    Why Choose Success.ai’s Retail Data?

    1. Verified Contact Data for Precision Outreach

      • Access verified work emails, phone numbers, and LinkedIn profiles of retail professionals across APAC.
      • AI-driven validation ensures 99% accuracy, reducing inefficiencies and boosting engagement outcomes.
    2. Comprehensive Coverage of APAC’s Retail Sector

      • Includes professionals from key retail hubs such as China, Japan, South Korea, India, Australia, and Southeast Asia.
      • Gain insights into market trends, consumer behavior, and retail innovations unique to the APAC region.
    3. Continuously Updated Datasets

      • Real-time updates capture changes in roles, organizations, and industry dynamics.
      • Stay aligned with evolving trends and capitalize on emerging opportunities in the retail sector.
    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: Access detailed retail data for professionals and organizations across the APAC region.
    • Verified Contact Details: Gain work emails, phone numbers, and LinkedIn profiles for precise targeting.
    • Professional Histories: Understand career trajectories, areas of expertise, and contributions to the retail sector.
    • Regional Insights: Leverage actionable data on consumer preferences, supply chain challenges, and market trends.

    Key Features of the Dataset:

    1. Comprehensive Retail Professional Profiles

      • Identify and connect with professionals managing retail operations, merchandising, supply chains, and customer engagement strategies.
      • Target decision-makers involved in e-commerce, brick-and-mortar retail, and omnichannel strategies.
    2. Advanced Filters for Precision Campaigns

      • Filter professionals by industry focus (fashion, electronics, grocery), geographic location, or job function.
      • Tailor campaigns to align with specific business needs, such as technology adoption, marketing strategies, or vendor partnerships.
    3. Regional and Industry-specific Insights

      • Leverage data on APAC’s retail trends, consumer purchasing patterns, and logistics challenges.
      • Refine strategies to align with unique market dynamics and customer expectations.
    4. AI-Driven Enrichment

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

    Strategic Use Cases:

    1. Marketing Campaigns and Outreach

      • Promote retail technology solutions, marketing tools, or supply chain services to retail professionals in the APAC region.
      • Use verified contact data for multi-channel outreach, including email, phone, and LinkedIn campaigns.
    2. Partnership Development and Collaboration

      • Build relationships with retail chains, e-commerce platforms, and logistics providers seeking strategic partnerships.
      • Foster collaborations that enhance customer experiences, expand distribution networks, or improve operational efficiencies.
    3. Market Research and Competitive Analysis

      • Analyze regional retail trends, consumer behavior, and supply chain innovations to refine product offerings and business strategies.
      • Benchmark against competitors to identify growth opportunities and high-demand solutions.
    4. Recruitment and Talent Acquisition

      • Target HR professionals and hiring managers in the retail industry recruiting for roles in merchandising, operations, and digital transformation.
      • Provide workforce optimization platforms or training solutions tailored to the retail sector.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality retail data at competitive prices, ensuring strong ROI for your marketing, sales, and business outreach efforts.
    2. Seamless Integration

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

      • Trust in 99% accuracy to guide data-driven decisions, refine targeting, and boost conv...
  19. d

    Business Data Spain | Dataset: 6.6+ Million Businesses in Spain

    • datarade.ai
    Updated Mar 6, 2025
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    InfobelPRO (2025). Business Data Spain | Dataset: 6.6+ Million Businesses in Spain [Dataset]. https://datarade.ai/data-products/business-data-spain-dataset-6-6-million-businesses-in-spain-infobelpro
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    InfobelPRO
    Area covered
    Spain
    Description

    Leverage high-quality B2B data with 468 enriched attributes, covering firmographics, financial stability, and industry classifications. Our AI-optimized dataset ensures accuracy through advanced deduplication and continuous updates. With 30+ years of expertise and 1,100+ trusted sources, we provide fully compliant, structured business data to power lead generation, risk assessment, CRM enrichment, market research, and more.

    Key use cases of B2B Data have helped our customers in several areas :

    1. Boost Lead Generation & Sales Outreach : Target the right businesses with precise, segmented contact lists for cold calling, email marketing, and industry-specific campaigns.
    2. Enhance CRM & Web Data for Smarter Engagement : Enrich CRM records with instant access to detailed company profiles, visitor identification, and continuous data updates.
    3. Strengthen Risk Assessment & Fraud Prevention : Evaluate supplier reliability, assess credit risk, and prevent fraud with deep firmographic and financial insights.
    4. Gain a Competitive Edge with Market Research : Analyse industry trends, benchmark competitors, and identify automation-ready sectors for strategic positioning.
    5. Optimize B2B Strategies with AI-Powered Insights : Leverage structured, compliant data to drive smarter business decisions across sales, marketing, and operations.
  20. A/B Testing Analysis (Facebook VS Adword)

    • kaggle.com
    zip
    Updated Dec 24, 2024
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    Shubham Damai (2024). A/B Testing Analysis (Facebook VS Adword) [Dataset]. https://www.kaggle.com/datasets/shubhamdamai/ab-testing-analysis-facebook-vs-adword
    Explore at:
    zip(30417 bytes)Available download formats
    Dataset updated
    Dec 24, 2024
    Authors
    Shubham Damai
    License

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

    Description

    Context

    This dataset contains campaign data for both Facebook Ads and AdWords, offering a side-by-side comparison of performance metrics, costs, and conversions. It's an ideal resource for A/B testing in marketing, especially for analyzing the effectiveness of ad campaigns across platforms.

    Source

    This dataset was created from scratch using Mockaroo, ensuring it is tailored for practical use.

    Inspiration

    While watching a YouTube tutorial 👉 [https://youtu.be/iCj4lT5KvJk?si=FijILsrbxBrcE3pw])(url), I noticed that the tutorial lacked an uploaded dataset, and many viewers in the comment section requested one. To help others follow along and practice, I decided to create a mock dataset from scratch. Now, you can easily replicate the tutorial and enhance your skills!

    Analysis Ideas

    Platform Performance Comparison: Compare key metrics like CTR, conversion rate, and cost per click between Facebook Ads and AdWords.

    Trend Over Time: Analyze changes in ad performance metrics across different years.

    A/B Testing Insights: Assess simultaneous campaigns to identify the better-performing platform.

    Cost Efficiency: Identify campaigns with low costs but high conversions on each platform.

    Visualization of Metrics: Create charts to visually compare campaign performance. Statistical Insights: Perform hypothesis testing to check for significant differences in performance metrics. Recommendations for Marketing Strategy: Provide actionable suggestions based on the data analysis. # Enjoy exploring and testing this dataset for your marketing analyses!

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Sahil Bajaj (2024). Marketing Campaigns Data Set [Dataset]. https://www.kaggle.com/datasets/sahilnbajaj/marketing-campaigns-data-set
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Marketing Campaigns Data Set

Marketing Campaigns Data of different countries

Explore at:
zip(62159 bytes)Available download formats
Dataset updated
May 4, 2024
Authors
Sahil Bajaj
License

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

Description

Data Description: The variables birth-year, education, income, and so on are related to the first 'P' or 'People' in the tabular data provided to the user. The amount spent on wine, fruits, gold, etc., is related to ‘Product’. The information pertinent to sales channels, like websites, stores, etc., is related to ‘Place’, and the fields which talk about promotions and results of different campaigns are related to ‘Promotion’.

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