This dataset is extracted from the records of cosmetics advertisements filed by various county and city health bureaus. The displayed fields are limited to those open to the system, but the dataset may change due to subsequent revisions. This does not necessarily mean that the products of the subject of sanctions are illegal. Please use caution when referring to it.

Per Local Law 83 of 2021, the Mayor's Office of Ethnic and Community Media is required to report annually on each agency's full advertising spend across all media categories, including ethnic and community (ECM), mainstream, out-of-home, social media, etc. This dataset reflects the raw data that MOECM received from City Agencies on their annual advertising spend. For more information, please visit the MOECM website.

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.

This data set is extracted from the records of drug advertising handled by the health bureaus of various counties and cities. The displayed fields are limited to those open to the system. However, this data set may be subject to subsequent revisions and discretion, and does not necessarily mean that the products of the subject of the disposal are illegal. Please use caution when referring to it.

This study empirically investigates how brands’ responses to competitors’ advertising actions change over the business cycle. Marketing data was made available by Prometheus, a brand performance tracker developed by Kantar Worldpanel. They cover marketing activity of 153 brands (including 15 private labels) manufactured by 27 different suppliers in six categories (bath gel, bottled water, dairy, laundry detergent, milk, and soft drink) sold in the Spanish CPG market. The data are available for 130 four-week periods from 2001 to 2010. Apart from advertising and promotion variables, for each brand, the dataset includes a survey-based metric on brand awareness over time, expressed as the percentage of respondents who indicated they know the brand, and data on brand price, or the price paid per unit (e.g., kilos, liters) by consumers in each period. This data is supplemented with data on the economic activity in Spain from the Organisation for Economic Co-operation and Development (OECD) - composite leading indicators available at: https://www.oecd.org/en/data/datasets/oecd-composite-leading-indicators-clis.html. This replication package contains scripts to replicate the results of a study that quantifies the advertising activity of the brands in Spain. The proprietary brand data from Kantar Worldpanel are not included in the data package because the company does not allow this.

On September 30, 2020, AB 323 (Ch. 341, Stats. 2020) was passed and chaptered into law thereby establishing the requirement for DGS to post on its Internet website purchases related to marketing and outreach advertising materials for every state office, officer, department, division, bureau, board, and commission identified in GC 11000, and including the California State University. These purchases must be further disaggregated to show placement of marketing and outreach advertising materials targeting communications with specific ethnic communities including but not limited to Latino, African American, Asian-Pacific Islander, Indigenous, Middle Eastern and LGTBQIA communities as outlined by Public Contract Code 11800-11804.

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of all NAICS under advertising, public relations, and related services (NAICS 5418), annual, for five years of data.

Firms are increasingly transitioning advertising budgets to Internet display campaigns, but this transition poses new challenges. These campaigns use numerous potential metrics for success (e.g., reach or click rate), and because each website represents a separate advertising opportunity, this is also an inherently high-dimensional problem. Further, advertisers often have constraints they wish to place on their campaign, such as targeting specific sub-populations or websites. These challenges require a method flexible enough to accommodate thousands of websites, as well as numerous metrics and campaign constraints. Motivated by this application, we consider the general constrained high-dimensional problem, where the parameters satisfy linear constraints. We develop the Penalized and Constrained optimization method (PaC) to compute the solution path for high-dimensional, linearly constrained criteria. PaC is extremely general; in addition to internet advertising, we show it encompasses many other potential applications, such as portfolio estimation, monotone curve estimation, and the generalized lasso. Computing the PaC coefficient path poses technical challenges, but we develop an efficient algorithm over a grid of tuning parameters. Through extensive simulations, we show PaC performs well. Finally, we apply PaC to a proprietary dataset in an exemplar Internet advertising case study and demonstrate its superiority over existing methods in this practical setting. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.

E-commerce sales for North American Industry Classification System (NAICS) Advertising, public relations, and related services, includes all members under sales, for Canada, for one year of data.

This dataset contains information about 22,915 unique banner ad images appearing on Chinese- and English-language web pages in the late 1990s and early 2000s. The dataset is mined from 1,384,355 archived web page snapshots downloaded from the Wayback Machine, representing 77,747 unique HTTP URLs. The URLs are collected from six printed Internet directory books published in mainland China and the United States between 1999 and 2001, as part of a larger research project on Chinese-language web archiving.

For each banner ad image, the dataset provides standard image metadata such as file format and dimension. The dataset also provides the original URLs of the web pages where the banner ad image was found, timestamps of the archived web page snapshots containing the image, archived URLs of the image file, and, if available, archived URLs of web pages to which the ad image is linked. Additionally, the dataset provides text data obtained from the banner ad images using optical character recognition (OCR). We expect the dataset to be useful for researchers across a variety of disciplines and fields such as visual culture, history, media studies, and business and marketing.

The statistical data generated through the administration of the Federal milk order program is recognized widely as one of the benefits of this program. These data provide comprehensive and accurate information on milk supplies, utilization, and sales, as well as class prices established under the orders and prices paid to dairy farmers (producers). The sources of this data are monthly reports of receipts and utilization, producer payroll reports, and reports of nonpool handlers filed by milk processors (handlers) subject to the provisions of the various milk orders. The local market administrator (MA) uses these reports to determine pool obligations under the order and to verify proper payments to producers. Auditors employed by the MA review handler records to assure the accuracy of reported information. Reporting errors are corrected; if necessary, pool obligations are revised.

After the pool obligations have been determined the local market administrator summarizes the individual handler reports and submits a series of order summary reports to the Market Information Branch (MIB) in Dairy Programs. The MIB summarizes the individual order data and disseminates this information via monthly, bimonthly, and annual releases or publications. Since milk marketing order statistics are based on reports filed by the population of possible reporting firms and not a sample, these statistics are comprehensive. Also, since these individual firm reports are subject to audit and verification, these statistics are accurate.

The Federal milk order statistics database contains historical information, beginning in January 2000, generated by the administration of the Federal milk order program. Most of the information in the database has been published previously by the Market Information Branch in Dairy Programs either on its web site or in the Dairy Market News Report. New users are encouraged to use the "User Guide" to learn how to navigate the search screens. If you are interested in a description of the Federal milk order statistics program, or want current data, in ready made table form, use the "Current Information" link.

Dataset

This dataset was created by Kunal Sharma

Contents

Success.ai’s Consumer Behavior Data for Consumer Goods & Electronics Industry Leaders in Asia, the US, and Europe offers a robust dataset designed to empower businesses with actionable insights into global consumer trends and professional profiles. Covering executives, product managers, marketers, and other professionals in the consumer goods and electronics sectors, this dataset includes verified contact information, professional histories, and geographic business data.

With access to over 700 million verified global profiles and firmographic data from leading companies, Success.ai ensures your outreach, market analysis, and strategic planning efforts are powered by accurate, continuously updated, and GDPR-compliant data. Backed by our Best Price Guarantee, this solution is ideal for businesses aiming to navigate and lead in these fast-paced industries.

Why Choose Success.ai’s Consumer Behavior Data?

1. Verified Contact Data for Precision Engagement

   • Access verified email addresses, phone numbers, and LinkedIn profiles of professionals in the consumer goods and electronics industries.
   • AI-driven validation ensures 99% accuracy, optimizing communication efficiency and minimizing data gaps.

2. Comprehensive Global Coverage

   • Includes profiles from key markets in Asia, the US, and Europe, covering regions such as China, India, Germany, and the United States.
   • Gain insights into region-specific consumer trends, product preferences, and purchasing behaviors.

3. Continuously Updated Datasets

   • Real-time updates capture career progressions, company expansions, market shifts, and consumer trend data.
   • Stay aligned with evolving market dynamics and seize emerging opportunities effectively.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use and legal compliance for all data-driven campaigns.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with industry leaders, marketers, and decision-makers in consumer goods and electronics industries worldwide.
• Consumer Trend Insights: Gain detailed insights into product preferences, purchasing patterns, and demographic influences.
• Business Locations: Access geographic data to identify regional markets, operational hubs, and emerging consumer bases.
• Professional Histories: Understand career trajectories, skills, and expertise of professionals driving innovation and strategy.

Key Features of the Dataset:

1. Decision-Maker Profiles in Consumer Goods and Electronics

   • Identify and engage with professionals responsible for product development, marketing strategy, and supply chain optimization.
   • Target individuals making decisions on consumer engagement, distribution, and market entry strategies.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (consumer electronics, FMCG, luxury goods), geographic location, or job function.
   • Tailor campaigns to align with specific industry trends, market demands, and regional preferences.

3. Consumer Trend Data and Insights

   • Access data on regional product preferences, spending behaviors, and purchasing influences across key global markets.
   • Leverage these insights to shape product development, marketing campaigns, and customer engagement strategies.

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 and Demand Generation

   • Design campaigns tailored to consumer preferences, regional trends, and target demographics in the consumer goods and electronics industries.
   • Leverage verified contact data for multi-channel outreach, including email, social media, and direct marketing.

2. Market Research and Competitive Analysis

   • Analyze global consumer trends, spending patterns, and product preferences to refine your product portfolio and market positioning.
   • Benchmark against competitors to identify gaps, emerging needs, and growth opportunities in target regions.

3. Sales and Partnership Development

   • Build relationships with key decision-makers at companies specializing in consumer goods or electronics manufacturing and distribution.
   • Present innovative solutions, supply chain partnerships, or co-marketing opportunities to grow your market share.

4. Product Development and Innovation

   • Utilize consumer trend insights to inform product design, pricing strategies, and feature prioritization.
   • Develop offerings that align with regional preferences and purchasing behaviors to maximize market impact.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality consumer behavior data at competitive prices, ensuring maximum ROI for your outreach, research, and ma...

Title: ROAS Optimization Problem for Maximizing Advertising Return

Abstract: This dataset has been created to analyze and optimize the Return on Advertising Spend (ROAS) in digital marketing campaigns. The data has been collected from an e-commerce platform's advertising activities based on various targeted keywords. It includes essential metrics such as advertising budgets, impressions, click-through rates, sales volumes, and revenue. The primary objective is to identify the most efficient advertising spending strategies using optimization techniques to maximize returns within a given budget.

Dataset Contents: The dataset is divided into six groups, each containing the following variables:

Keywords: The targeted search terms used in the advertising campaign. Advertising Spend: The budget allocated to a specific keyword (USD). Num. of Impressions: The number of times the ad was displayed. Num. of Clicks: The number of times the ad was clicked. Hit Rate (%): The conversion rate of the advertisement. Sales Volume: The total number of sales generated from the ad. Revenue: The total revenue generated from the advertisement (USD). ROAS (Return on Advertising Spend): Revenue divided by advertising spend. Proposed CPM (Proposed Cost Per Mille): The cost per thousand impressions suggested by optimization algorithms. Actual CPM (Actual Cost Per Mille): The realized cost per thousand impressions. Selected CPM (Final Cost Per Mille): The chosen cost per thousand impressions after optimization. Potential Use Cases: This dataset can be utilized for:

Digital Marketing Optimization: Developing budget management strategies to maximize ROAS. Machine Learning & Optimization: Applying metaheuristic algorithms to determine the most effective ad spending strategy. E-Commerce Performance Analysis: Evaluating the effectiveness of advertising campaigns in driving sales. Financial Planning: Measuring the return on investment for digital marketing expenditures. Target Users: This dataset is beneficial for academic researchers, digital marketers, data analysts, and engineers working on optimization problems.

Percentage of flights arriving on-time. A flight is on-time if it arrives within 15 minutes of the schedule arrival time. Data are available for those carriers that had at least 1% of domestic enplanements in the previous year. The last 25 months of data include only carriers that reported in each of the last 25 months to retain comparability. Earlier data includes all reporting carriers. A scheduled operation consists of any nonstop segment of a flight. The Bureau of Transportation Statistics air collects performance data from U.S. air carriers and international carriers operating within the U.S.

Success.ai’s B2B Contact Data for Marketing Professionals Worldwide equips businesses with precise and verified contact information to connect with marketing decision-makers globally. Sourced from over 170 million verified professional profiles, this dataset is tailored to meet the needs of sales, marketing, and recruitment teams, offering unparalleled accuracy, scalability, and relevance.

Why Choose Success.ai’s Marketing Professionals Data?

1. Comprehensive and Verified Contact Information:
2. Access work emails, direct phone numbers, and social profiles of marketing professionals, from strategists to CMOs.

3. Each profile is AI-validated to ensure 99% accuracy, reducing bounce rates and boosting engagement.

4. Global Coverage for Marketing Experts:

5. Includes data from key regions like North America, Europe, Asia-Pacific, South America, and more.

6. Connect with marketing leaders across industries, including e-commerce, SaaS, retail, and finance.

7. Real-Time Updates:

8. Stay ahead with continuously updated profiles that reflect role changes and career moves.

9. Compliance You Can Trust:

10. Fully adheres to data privacy laws, including GDPR and CCPA, ensuring ethical and legal use of information.

Data Highlights: - 170M+ Verified Professional Profiles: Spanning multiple industries, including marketing professionals worldwide. - 50M Work Emails: AI-validated for reliability and accuracy. - 30M Company Profiles: Rich insights into organizations, perfect for segmentation and targeting. - 700M Global Professional Profiles: A diverse dataset designed to enhance outreach and engagement efforts.

Key Features of the Dataset: - Extensive Marketing Profiles: Includes work emails, phone numbers, job titles, LinkedIn profiles, and industry-specific insights. - Customizable Segmentation: Filter by location, company size, job level, and other parameters for targeted campaigns. - AI-Enriched Data: Provides enriched insights for better personalization and campaign success.

Strategic Use Cases:

1. Sales and Business Development:
2. Connect directly with marketing leaders to pitch your solutions and close deals faster.

3. Focus on decision-makers in marketing, ensuring higher conversion rates.

4. Targeted Marketing Campaigns:

5. Launch precision-driven campaigns aimed at marketing professionals across industries.

6. Leverage accurate data to create hyper-personalized messages for maximum engagement.

7. Recruitment for Marketing Roles:

8. Identify and engage top marketing talent for executive, mid-level, or specialist positions globally.

9. Use up-to-date information to connect with potential candidates effectively.

10. Market Research and Competitive Analysis:

11. Gain insights into marketing trends, strategies, and leadership across various sectors.

12. Identify opportunities for partnerships or strategic collaborations.

Why Success.ai is the Right Choice:

1. Best Price Guarantee:

2. Access high-quality datasets at competitive prices without compromising on accuracy.

3. Flexible Integration:

4. Choose between API access or downloadable datasets to suit your operational needs.

5. Exceptional Accuracy and Coverage:

6. Powered by AI-driven validation, our data ensures precision, helping you achieve impactful results.

7. Customizable Solutions:

8. Tailor datasets to focus on specific roles, industries, or regions that matter most to your business.

APIs for Seamless Integration:

1. Data Enrichment API:

2. Enhance your existing marketing databases with accurate and updated contact details.

3. Lead Generation API:

4. Automatically integrate verified marketing professional contact data into your CRM or sales platforms.

Transform how you connect with marketing professionals worldwide using B2B Contact Data from Success.ai. With our verified and AI-validated contact information, you can launch campaigns, drive sales, and build lasting relationships with confidence.

Leverage the Best Price Guarantee and experience the success difference. Contact us now to unlock your access to a world of marketing leaders!

No one beats us on price. Period.

Planning Applications within the Ballarat City Council currently on Advertising. Link to City of Ballarat eServices to comment on the application. Attributes include Application Number, Application Year, Application Date, Application Type, Description, Status, Location, Ward, Property Number, eServices link, Latitude and Longitude. Disclaimer The documents and plans are made available for the sole purpose of enabling their consideration and review as part of a planning process under the Planning and Environment Act 1987. The documents and plans MUST NOT BE used for any purpose which may breach any copyright. NOTE: The Responsible Authority will not make a decision before the advertising completion date above. Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Ballarat in their use.

Planning document for advertising in the municipal or inter-communal territory, a local advertising regulation (RLP) allows the national regulations to be adapted to local specificities.

Advertisements, signs and pre-teachers are subject to regulations that protect the environment and the living environment. Their installation must be in accordance with density and format conditions and must be subject to prior declaration or authorisation in town hall or prefecture.

The MATCHED dataset is a novel multimodal collection of escort advertisements curated to support research in Authorship Attribution (AA) and related tasks. It comprises 27,619 unique text descriptions and 55,115 images (in jpg format) sourced from Backpage escort ads across seven major U.S. cities–Atlanta, Dallas, Detroit, Houston, Chicago, San Fransisco, and New York. These cities are further categorized into four geographical regions—South, Midwest, West, and Northeast—offering a structured dataset that enables both in-distribution and out-of-distribution (OOD) evaluations. Each ad in the dataset contains metadata that links text and visual components, providing a rich resource for studying multimodal patterns, vendor identification, and verification tasks. The dataset is uniquely suited for multimodal authorship attribution, vendor linking, stylometric analysis, and understanding the interplay between textual and visual patterns in advertisements. All text descriptions are carefully processed to redact any explicit references to phone numbers, email addresses, advertisement IDs, age-related information, or other contact details that could be used to identify individuals or vendors. The structured metadata allows researchers to explore how multimodal features contribute to uncovering latent patterns in stylometry and vendor behaviors. A demi-data file showcasing the format and structure of our MATCHED dataset is attached with the entry. Given the sensitivity of the subject matter, the actual dataset resides securely on Maastricht University's servers. Only the metadata will be publicly released on Dataverse to ensure ethical use. Researchers interested in accessing the full dataset must sign a Non-Disclosure Agreement (NDA) and a Data Transfer Agreement with Prof. Dr. Gijs Van Dijck from Maastricht University. Access will only be granted under strict restrictions, and recipients must adhere to the ethical guidelines established by the university's committee. These guidelines emphasize the responsible use of the dataset to prevent misuse and to safeguard the privacy and dignity of all individuals involved.

DescriptionThe red symbols indicate non-conforming advertising devices, the green symbols indicate conforming advertising devices, the yellow symbols indicate necessary goods or service advertising devices, the royal blue symbols indicate directional advertising devices and the gray symbols indicate official advertising devices.Last Update2015Update FrequencyAs neededData OwnerDivision of Transportation DevelopmentData ContactGIS Support UnitCollection MethodProjectionNAD83 / UTM zone 13NCoverage AreaStatewideTemporalDisclaimer/LimitationsThere are no restrictions and legal prerequisites for using the data set. The State of Colorado assumes no liability relating to the completeness, correctness, or fitness for use of this data.