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.

Dataset Card for marketing

This dataset has been created with distilabel.

  Dataset Summary

This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/dvilasuero/marketing/raw/main/pipeline.yaml"

or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/dvilasuero/marketing.

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.

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.

Marketing Analytics Market Outlook

According to our latest research, the global marketing analytics market size in 2024 stands at USD 5.8 billion, demonstrating robust momentum driven by the increasing adoption of data-driven decision-making across industries. The market is projected to register a CAGR of 13.2% from 2025 to 2033, reaching an estimated market size of USD 17.1 billion by 2033. This accelerated growth is primarily attributed to the proliferation of digital channels, the surge in big data, and the imperative for organizations to achieve higher ROI from their marketing investments. The marketing analytics market is evolving rapidly, with advanced analytics tools enabling businesses to gain actionable insights, optimize campaigns, and enhance customer engagement across diverse sectors.

One of the most significant growth factors for the marketing analytics market is the exponential increase in data generation from multiple digital touchpoints. The rise of omnichannel marketing strategies has resulted in vast and complex datasets, encompassing customer interactions from social media, websites, mobile applications, and email campaigns. Businesses are increasingly leveraging marketing analytics solutions to aggregate, process, and analyze this data in real time, gaining deeper insights into customer behavior, preferences, and purchase patterns. The ability to transform raw data into actionable intelligence is empowering marketers to personalize campaigns, improve targeting accuracy, and maximize conversion rates, thereby fueling the demand for sophisticated analytics platforms.

Another critical driver is the growing emphasis on measuring marketing effectiveness and optimizing marketing spend. As organizations face mounting pressure to justify marketing budgets and demonstrate tangible ROI, marketing analytics tools have become indispensable. These solutions enable marketers to track key performance indicators (KPIs), attribute revenue to specific channels, and identify underperforming campaigns. The integration of artificial intelligence and machine learning into marketing analytics platforms is further enhancing predictive capabilities, allowing businesses to forecast trends, automate campaign adjustments, and refine customer segmentation. This technological evolution is driving widespread adoption across both large enterprises and small and medium businesses.

The surge in regulatory requirements and data privacy concerns is also shaping the marketing analytics market. With the implementation of stringent data protection regulations such as GDPR and CCPA, organizations are compelled to adopt analytics solutions that ensure compliance while maintaining data integrity and security. Modern marketing analytics platforms are incorporating advanced data governance features, encryption, and anonymization techniques, enabling businesses to harness the power of analytics without compromising customer trust. This focus on compliance, coupled with the increasing need for transparency in marketing practices, is accelerating the adoption of analytics tools across regulated industries such as BFSI and healthcare.

Regionally, North America dominates the marketing analytics market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The United States, in particular, is at the forefront due to the presence of major analytics vendors, high digital adoption, and substantial marketing expenditure by enterprises. However, the Asia Pacific region is poised for the fastest growth over the forecast period, driven by rapid digital transformation, expanding e-commerce ecosystems, and increasing investments in marketing technology. Latin America and the Middle East & Africa are also witnessing steady growth as organizations in these regions recognize the strategic value of data-driven marketing.

Component Analysis

The marketing analytics market is segmented by component into software and services, each playing a vital role in the overall ecosystem. The software segment dominates th

IRI (Information Resources, Inc.) has just released an extensive set of data for academic use. This is 5 [now updated to 6] years of store scanner data and consumer panel data for 30 large consumer packaged goods categories. TNS is providing advertising data on two categories. This data covers stores in 49 markets for store level data and 2 markets for consumer panel data. This is such a large data set (over 50 gigabytes) that we are delivering it on a USB drive. More information about this data set can found at the IRI web site. http://us.infores.com/academic This site contains a high level description of the data set (Bronnenberg, Kruger and Mela, 2008, published in the July-August issue of Marketing Science), and a document containing terms of use for the dataset. We've set up a Google Groups site to support the data set. This group is available to those who've signed the terms of use and received the data set. This is the first database submission that Marketing Science has accepted.

Field Description ID Customer's unique identifier Year_Birth Customer's birth year Education Customer's education level Marital_Status Customer's marital status Income Customer's yearly household income Kidhome Number of children in customer's household Teenhome Number of teenagers in customer's household Dt_Customer Date of customer's enrollment with the company Recency Number of days since customer's last purchase MntWines Amount spent on wine in the last 2 years MntFruits Amount spent on fruits in the last 2 years MntMeatProducts Amount spent on meat in the last 2 years MntFishProducts Amount spent on fish in the last 2 years MntSweetProducts Amount spent on sweets in the last 2 years MntGoldProds Amount spent on gold in the last 2 years NumDealsPurchases Number of purchases made with a discount NumWebPurchases Number of purchases made through the company's web site NumCatalogPurchases Number of purchases made using a catalogue NumStorePurchases Number of purchases made directly in stores NumWebVisitsMonth Number of visits to company's web site in the last month AcceptedCmp3 1 if customer accepted the offer in the 3rd campaign, 0 otherwise AcceptedCmp4 1 if customer accepted the offer in the 4th campaign, 0 otherwise AcceptedCmp5 1 if customer accepted the offer in the 5th campaign, 0 otherwise AcceptedCmp1 1 if customer accepted the offer in the 1st campaign, 0 otherwise AcceptedCmp2 1 if customer accepted the offer in the 2nd campaign, 0 otherwise Response 1 if customer accepted the offer in the last campaign, 0 otherwise Complain 1 if customer complained in the last 2 years, 0 otherwise Country Customer's location

US Sales and Marketing Analytics Market is Segmented by Deployment (Cloud-based and On-Premise), Application (Online Marketing, Email Marketing, Social Media Marketing, Content Marketing, and Other Applications) and End-User (Retail, BFSI, Healthcare, Manufacturing, Travel and Hospitality, and Other End-Users). For each segment, the market sizing and forecast have been done based on the value (in USD million)

Marketing Campaigns Dataset

This repository contains a dataset specifically designed for generating marketing content. The dataset includes various features that are crucial for crafting effective marketing strategies, such as industry, channel, objective, and more. This dataset is ideal for use in machine learning models, AI-powered marketing tools, and data-driven marketing analyses.

  Dataset Overview

The dataset consists of multiple entries, each representing a specific… See the full description on the dataset page: https://huggingface.co/datasets/RafaM97/marketing_social_media.

The dataset comprises of phone call records of a marketing campaign run by a Portuguese bank. The marital status of the clients is considered feature to ensure fairness.

According to Cognitive Market Research, the global Digital Marketing Analytic market size was USD 4518.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 20.90% from 2024 to 2031.

North America held the major market share, more than 40% of the global revenue, with a market size of USD XX million in 2024. It will grow at a compound annual growth rate (CAGR) of 1.6% from 2024 to 2031.
Europe accounted for over 30% of the global USD XX million market size.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.4% from 2024 to 2031.
Latin America's market will have more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.8% from 2024 to 2031.
The Middle East and Africa held the major market share, around 2% of the global revenue, with a market size of USD XX million in 2024. The market will grow at a compound annual growth rate (CAGR) of 3.1% from 2024 to 2031.
Social media marketing held the highest Digital Marketing Analytics market revenue share in 2024.

Market Dynamics of Digital Marketing Analytics Market

Key Drivers of Digital Marketing Analytics Market

Various Strategies Adopted by Key Players to Provide Viable Market Output

The Digital Marketing Analytics market is experiencing significant growth due to various strategies adopted by key players. These include investing in advanced analytics technologies such as artificial intelligence and machine learning, enhancing their product offerings with features like predictive analytics and real-time data visualization, expanding their global presence through partnerships and acquisitions, and focusing on customer-centric approaches to improve user experience and satisfaction. Overall, these strategies help companies stay competitive and meet the evolving needs of the market.

For instance, in May 2023, Mixpanel propounded the launch of marketing analytics. It enables brands to get insights into the channels that drive new user mergers through multi-touch attribution. It also helps brands increase their return on advertising spend by monitoring the performance of channels and campaigns. It allows brands to get their most valuable customer segments by finding demographic or behavioral cohorts.

(Source: https://mixpanel.com/blog/mixpanel-marketing-analytics/)

Rising Influence of Social Media to Propel Market Growth

The digital marketing analytics market is experiencing growth due to the influence of social media. As social media platforms continue to gain more, businesses are relying on them to connect with customers, get brand awareness, and drive sales. Consequently, there's a growing need for advanced analytics tools to track social media performance, engagement metrics, customer sentiment, and ROI. These analytics provide invaluable insights that enable companies to refine their marketing strategies, optimize campaigns, and enhance overall effectiveness in leveraging social media platforms for business growth. Thus, the escalating importance of social media underscores the increasing demand for sophisticated digital marketing analytics solutions.

For instance, in 2020, McDonald's India North and East started a social media advertisement campaign, McGrillis Back, to capture a major revenue share in the Quick Service Restaurant market. It helped the company gain 24,000 posts on Twitter and more than 200 followers on Instagram.

(Source: https://www.afaqs.com/news/advertising/mcdonalds-india-north-east-strikes-a-chord-with-its-new-campaign-we-get-it)

Restraint Factors of Digital Marketing Analytics Market

Lack of Skilled Talent to Restrict Market Growth

The digital marketing analytics market faces a challenge due to a need for more skilled talent. This scarcity hampers the effective utilization of analytical tools and platforms, hindering businesses from extracting valuable insights to optimize their marketing strategies. With skilled personnel adept at interpreting and applying analytics, organizations can leverage data-driven decision-making processes effectively. Addressing this talent gap through training programs and educational initiatives is essential to unlock the full potential of digital marketing analytics and drive business g...

The Marketing Analytics Market Report is Segmented by Deployment (Cloud, and On-Premise), Application (Online Marketing, Email Marketing, Content Marketing, Social Media Marketing, and More), End User (Retail, Banking and Financial Service, Education, Healthcare, Manufacturing, Travel and Hospitality, and More), and Geography (North America, Europe, Asia Pacific, and More). The Market Forecasts are Provided in Terms of Value (USD).

The dataset originates from: https://datahub.io/machine-learning/bank-marketing

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...

Dataset Card for "mmlu-marketing-neg-prepend"

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Transform your B2B marketing strategies with VisitIQ's™ unparalleled marketing data solutions. Our platform offers accurate, comprehensive, and meticulously curated datasets designed to provide deep strategic insights that drive business growth and enhance decision-making. Whether you're building or refining your B2B marketing databases, VisitIQ™ empowers you with the data needed to target your ideal prospects, optimize campaigns, and achieve measurable outcomes.

At the heart of VisitIQ's™ B2B marketing data offerings is our commitment to data quality and accuracy. We understand that in the world of B2B marketing, having access to reliable and up-to-date data is crucial for success. Our datasets cover a vast array of firmographic attributes, such as company size, industry, revenue, location, and employee count, enabling you to target businesses with precision and relevance. Beyond firmographics, our data also includes technographic information, detailing the technology stack and software usage of potential clients, providing an added layer of insight for tech-driven marketing strategies.

VisitIQ™ goes beyond traditional data solutions by incorporating advanced analytics and data science techniques to deliver deeper insights. Our platform leverages machine learning algorithms and artificial intelligence to identify patterns and trends in your target market, enabling you to anticipate customer needs and position your offerings more effectively. With VisitIQ™, you can segment your audience with unparalleled granularity, crafting personalized marketing campaigns that resonate with key decision-makers across various industries.

Our B2B marketing data solutions are designed to seamlessly integrate with your existing CRM, marketing automation, and sales platforms. This allows you to enrich your databases with accurate, up-to-date information, ensuring that your marketing and sales teams are always working with the best possible data. By incorporating VisitIQ's™ data, you can refine lead generation efforts, improve conversion rates, and ultimately enhance your return on investment.

Whether you're looking to expand into new markets, deepen relationships with existing clients, or fine-tune your marketing strategy, VisitIQ™ offers the comprehensive data needed to make smarter, more informed decisions. Our B2B marketing datasets are ideal for businesses of all sizes, from startups seeking rapid growth to established enterprises aiming for sustained success.

Choose VisitIQ™ for your B2B marketing data needs and experience the power of data-driven decision-making. Empower your team with strategic insights, optimize your marketing efforts, and drive meaningful business outcomes with confidence.

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.

Product Sales and Marketing Analytics Dataset This dataset provides a comprehensive view of product performance across various categories, focusing on sales metrics, marketing efforts, and consumer feedback. With 500 rows and 15 columns, it is an ideal resource for analyzing trends, optimizing marketing strategies, and predicting product success.

Key Features:

Product Details: Product_Name: Name of the product. Category: General category (e.g., Home & Kitchen, Sports & Outdoors). Sub_category: Specific sub-category (e.g., Cookware, Outdoor Gear). Pricing and Discounts: Price: Product price in local currency. Discount: Discount percentage offered on the product. Customer Feedback: Rating: Average customer rating (scale of 1 to 5). No_rating: Total number of customer reviews. Sales Metrics: Sales_y: Total yearly sales. Sales_m: Monthly sales, providing a more granular sales trend. Marketing and Operational Data: M_Spend: Marketing expenditure for the product. Supply_Chain_E: Efficiency rating of the supply chain. Market and Seasonal Trends: Market_T: Market trend index (indicates current market conditions). Seasonality_T: Seasonality trend index (impact of seasonal factors). Performance Metric: Success_Percentage: Success rate of the product, combining multiple performance indicators. Potential Use Cases:

Sales Forecasting: Use historical sales data and trends to predict future sales. Marketing Optimization: Identify products that yield the highest returns for marketing investment. Customer Insights: Analyze ratings and reviews to understand customer preferences. Trend Analysis: Study the impact of market and seasonality trends on sales. Product Success Prediction: Assess key factors contributing to a product’s success.

Target Audience: This dataset is designed for data analysts, business strategists, and machine learning enthusiasts looking to explore:

1. Sales forecasting models.
2. Marketing spend optimization
3. Consumer behavior analysis.

Additional Notes: Data is pre-cleaned and ready for analysis. Suitable for regression, classification, and clustering tasks.

seansullivan/digital-marketing dataset hosted on Hugging Face and contributed by the HF Datasets community