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

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?

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   • Includes profiles of professionals from food and beverage companies, consumer goods manufacturers, and marketing agencies in key markets worldwide.
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   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

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Strategic Use Cases:

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3. Data Acc...

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.

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  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

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Discover the latest small business marketing statistics in 2024 from Wix and Vistaprint. Learn valuable insights and effective marketing strategies to stay ahead of the game.

Dataset Information

Additional Information

The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed.

There are four datasets: 1) bank-additional-full.csv with all examples (41188) and 20 inputs, ordered by date (from May 2008 to November 2010), very close to the data analyzed in [Moro et al., 2014] 2) bank-additional.csv with 10% of the examples (4119), randomly selected from 1), and 20 inputs. 3) bank-full.csv with all examples and 17 inputs, ordered by date (older version of this dataset with less inputs). 4) bank.csv with 10% of the examples and 17 inputs, randomly selected from 3 (older version of this dataset with less inputs). The smallest datasets are provided to test more computationally demanding machine learning algorithms (e.g., SVM).

The classification goal is to predict if the client will subscribe (yes/no) a term deposit (variable y).

Data Dictionary

1. age: Age of the client.
2. job: Type of job the client holds.
3. marital: Marital status of the client.
4. education: Client's education level.
5. default: Indicates if the client has credit in default.
6. balance: Average yearly balance of the client, in euros.
7. housing: Indicates if the client has a housing loan.
8. loan: Indicates if the client has a personal loan.
9. contact: Type of communication mode used for contact.
10. day: Day of the last contact.
11. month: Month of the last contact.
12. duration: Duration of the last contact in seconds.
13. campaign: Number of contacts performed during this campaign.
14. pdays: Days since the client was last contacted from a previous campaign (999 indicates the client was not contacted).
15. previous: Number of contacts before this campaign.
16. poutcome: Outcome of the previous marketing campaign.
17. y: Indicates if the client subscribed to a term deposit.

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.

The Marketing Bias dataset encapsulates the interactions between users and products on ModCloth and Amazon Electronics, emphasizing on the potential marketing bias inherent in product recommendations. This bias is explored through attributes related to product marketing and user/item interactions.

Basic Statistics:
- ModCloth: - Reviews: 99,893 - Items: 1,020 - Users: 44,783 - Bias Type: Body Shape

• Amazon Electronics:
  • Reviews: 1,292,954
  • Items: 9,560
  • Users: 1,157,633
  • Bias Type: Gender

Metadata: - Ratings - Product Images - User Identities - Item Sizes, User Genders

Example (ModCloth): The data example provided showcases a snippet from ModCloth data with columns like item_id, user_id, rating, timestamp, size, fit, user_attr, model_attr, and others.

Download Links: Visit the project page for download links.

Citation: If you utilize this dataset, please cite the following:

Title: Addressing Marketing Bias in Product Recommendations Authors: Mengting Wan, Jianmo Ni, Rishabh Misra, Julian McAuley Published In: WSDM, 2020 PDF Link

Dataset Files: - df_electronics.csv - df_modcloth.csv

The dataset is structured to provide a comprehensive overview of user-item interactions and attributes that may contribute to marketing bias, making it a valuable resource for anyone investigating marketing strategies and recommendation systems.

During a November 2024 survey among marketers worldwide, ** percent of respondents included generative artificial intelligence (GenAI) among the most important consumer trends they were watching for in 2025. Connected TV (CTV) and streaming followed closely, mentioned by ** percent, while TikTok and social video rounded up the top three with a share of ** percent. Generative AI in marketing Next to effective use cases of AI, such as aligning web content with search intent and improving the consumer experience on websites, AI tools in marketing are used for creative production. For example, influencers worldwide stated they were using tools such as Canva and DALL-E to generate images for their social media accounts. Moreover, entire ad campaigns exist that have been produced by prompting generative AI for creative purposes. TikTok for marketing The short-video format of TikTok has taken the scene by storm. In 2023, the Chinese platform generated solid engagement rates for all the various influencer tiers – from nano to mega. As of April 2023, TikTok was the leading global unicorn – a start-up company with a value of over *********** U.S. dollars –followed by Musk’s SpaceX. However, multiple worldwide ban discussions revolve around the social media due to its highly engaging, or as some may deem addictive, character.

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.

Snapshot img

US Digital Advertising Market Size 2025-2029

The US digital advertising market size is forecast to increase by USD 218.3 billion, at a CAGR of 15.2% between 2024 and 2029.

The digital advertising market is experiencing significant growth, driven primarily by the increasing popularity of in-app advertising. Brands are recognizing the value of reaching consumers through mobile applications, as users spend an average of 3 hours and 15 minutes per day on mobile devices. Artificial intelligence (AI) and machine learning algorithms enable customized advertisements and recommendation systems, enhancing the user experience and driving ad effectiveness. 
However, the market faces challenges as well. The growing adoption of ad-blocker solutions poses a threat to revenue generation for digital advertisers. To navigate this challenge, advertisers must focus on delivering valuable and non-intrusive content to maintain user engagement and circumvent ad-blockers. By staying attuned to these market dynamics and adapting to consumer preferences, companies can capitalize on opportunities and effectively address challenges in the digital advertising market. Digital Advertising Services provide Campaign management, Creative design, and Optimization services to help businesses maximize their online presence and customer engagement.

What will be the size of the US Digital Advertising Market during the forecast period?

Request Free Sample

In the dynamic digital advertising market, cross-channel marketing and omnichannel strategies are increasingly prevalent, allowing businesses to reach consumers seamlessly across various platforms. Dynamic creative optimization and marketing dashboards enable real-time content customization, enhancing personalized advertising experiences. Digital marketing trends lean towards mobile-first strategies, predictive analytics, and data-driven marketing. Brands prioritize social media strategy, sentiment analysis, and social listening for effective brand reputation management. Marketing mix modeling and marketing automation tools streamline campaign management, while PPC strategy and interactive advertising offer measurable results. Ad agency services and marketing technology stacks provide valuable insights, but privacy concerns and data security remain critical issues.
Customer journey mapping and performance reporting are essential for optimizing marketing operations and measuring success. Digital marketing ethics demand transparency and accountability, with brands focusing on ethical data collection, usage, and privacy policies.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Channel

  Mobile
  Desktop/laptop
  Connected TV


Type

  Search advertising
  Social media advertising
  Banner advertising
  Others


End-user

  Retail
  Media and entertainment
  BFSI
  Healthcare and pharmaceuticals
  Others


Geography

  North America

    US

By Channel Insights

The mobile segment is estimated to witness significant growth during the forecast period. In the dynamic US digital advertising market, mobile advertising holds a substantial share due to the increasing penetration of smartphones and tablets. Mobile devices, particularly smartphones, dominate the landscape, with mobile advertising accounting for a significant portion of overall digital advertising expenditure. With over 80% smartphone penetration in the country as of 2023, mobile platforms offer advertisers access to a vast user base. This flexibility enables advertisers to engage users through targeted ad strategies based on user behavior and preferences. Consequently, mobile applications (apps) and games are integrating in-app ads, contributing to the segment's significant growth. Brand awareness is another crucial aspect of digital advertising, with businesses investing heavily to reach their audiences effectively. Digital transformation has led to the adoption of various digital advertising technologies, such as programmatic advertising, data management platforms, and ad serving.
These technologies facilitate real-time bidding, audience targeting, and conversion rate optimization. Artificial intelligence and machine learning play a pivotal role in ad optimization, enabling advertisers to analyze consumer behavior and tailor their campaigns accordingly. Behavioral targeting, contextual targeting, and audience targeting are essential strategies for maximizing user engagement and click-through rates. Brand safety and fraud detection are critical concerns for businesses, with digital advertising technology ensuring secure transactions and protecting against malicious activities. Digital signage and content marketing are also popular channe

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.

Performance Marketing Expert Dataset

  Dataset Description

This dataset contains comprehensive performance marketing knowledge and logical reasoning patterns for Meta (Facebook/Instagram), Google Ads, and TikTok advertising platforms. It's designed for fine-tuning language models to understand brand verticals, performance marketing strategies, and develop reasoning capacity for creating winning ad campaigns.

  Dataset Structure

Each example follows an… See the full description on the dataset page: https://huggingface.co/datasets/Sri-Vigneshwar-DJ/Performance-Marketing-Data.

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.

1) Data Introduction • The Sample Sales Data is a retail sales dataset of 2,823 orders and 25 columns that includes a variety of sales-related data, including order numbers, product information, quantity, unit price, sales, order date, order status, customer and delivery information.

2) Data Utilization (1) Sample Sales Data has characteristics that: • This dataset consists of numerical (sales, quantity, unit price, etc.), categorical (product, country, city, customer name, transaction size, etc.), and date (order date) variables, with missing values in some columns (STATE, ADDRESSLINE2, POSTALCODE, etc.). (2) Sample Sales Data can be used to: • Analysis of sales trends and performance by product: Key variables such as order date, product line, and country can be used to visualize and analyze monthly and yearly sales trends, the proportion of sales by product line, and top sales by country and region. • Segmentation and marketing strategies: Segmentation of customer groups based on customer information, transaction size, and regional data, and use them to design targeted marketing and customized promotion strategies.

Mobile has become the main way to access online content. Mobile devices now account for 55% of the global market share of online access with desktops coming in second place at 43%.

AI is reshaping marketing with measurable results and day-to-day integration. 88% of marketers reported using AI in their daily work. Brands are applying AI to personalize customer experiences, optimize campaigns, and automate workflows. For example, e-commerce platforms use AI-powered recommendation engines to drive 31% of their revenue, while small US...

Context

The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed.

Content

There are four datasets: 1) bank-additional-full.csv with all examples (41188) and 20 inputs, ordered by date (from May 2008 to November 2010), very close to the data analyzed in [Moro et al., 2014] 2) bank-additional.csv with 10% of the examples (4119), randomly selected from 1), and 20 inputs. 3) bank-full.csv with all examples and 17 inputs, ordered by date (older version of this dataset with less inputs). 4) bank.csv with 10% of the examples and 17 inputs, randomly selected from 3 (older version of this dataset with less inputs). The smallest datasets are provided to test more computationally demanding machine learning algorithms (e.g., SVM).

The classification goal is to predict if the client will subscribe (yes/no) a term deposit (variable y).

Acknowledgements

• [Moro et al., 2014] S. Moro, P. Cortez and P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems, Elsevier, 62:22-31, June 2014
• https://archive.ics.uci.edu/ml/datasets/bank+marketing
• Dataset cover and thumbnail image: Abstract vector created by vectorjuice - www.freepik.com

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

During a survey carried out in 2024, 62 percent of responding marketers who were looking to decrease spend on cookie-based activations said they were planning to shirt spending towards social media. Nearly half were planning to invest in first-party data.

Success.ai’s Consumer Marketing Data API empowers your marketing, analytics, and product teams with on-demand access to a vast and continuously updated dataset of consumer insights. Covering detailed demographics, behavioral patterns, and purchasing histories, this API enables you to go beyond generic outreach and craft tailored campaigns that truly resonate with your target audiences.

With AI-validated accuracy and support for precise filtering, the Consumer Marketing Data API ensures you’re always equipped with the most relevant data. Backed by our Best Price Guarantee, this solution is essential for refining your strategies, improving conversion rates, and driving sustainable growth in today’s competitive consumer landscape.

Why Choose Success.ai’s Consumer Marketing Data API?

1. Tailored Consumer Insights for Precision Targeting

   • Access verified demographic, behavioral, and purchasing data to understand what consumers truly value.
   • AI-driven validation ensures 99% accuracy, minimizing wasted spend and improving engagement outcomes.

2. Comprehensive Global Reach

   • Includes consumer profiles from diverse regions and markets, enabling you to scale campaigns and discover emerging opportunities.
   • Adapt swiftly to new markets, product launches, and shifting consumer preferences with real-time data at your fingertips.

3. Continuously Updated and Real-Time Data

   • Receive ongoing updates that reflect evolving consumer behaviors, interests, and market trends.
   • Respond quickly to seasonal changes, competitor moves, and industry disruptions, ensuring your campaigns remain timely and relevant.

4. Ethical and Compliant

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

Data Highlights:

• Detailed Demographics: Age, gender, location, and income levels to refine targeting and messaging.
• Behavioral Insights: Interests, browsing patterns, and content consumption habits to anticipate consumer needs.
• Purchasing History: Understand consumer spending, brand loyalty, and product preferences to tailor promotions effectively.
• Real-Time Updates: Keep pace with evolving consumer tastes, ensuring your strategies remain forward-focused and competitive.

Key Features of the Consumer Marketing Data API:

1. Granular Targeting and Segmentation

   • Query the API to segment consumers by demographics, interests, past purchases, or engagement patterns.
   • Focus campaigns on the most receptive audiences, enhancing conversion rates and ROI.

2. Flexible and Seamless Integration

   • Easily integrate the API into CRM systems, marketing automation tools, or analytics platforms.
   • Streamline workflows and eliminate manual data imports, freeing resources for strategic initiatives.

3. Continuous Data Enrichment

   • Refresh consumer profiles with the latest data, ensuring every decision is backed by current insights.
   • Reduce data decay and maintain top-notch data hygiene to maximize long-term marketing effectiveness.

4. AI-Driven Validation

   • Rely on advanced AI validation techniques to guarantee high-quality data accuracy and reliability.
   • Increase confidence in your campaigns and decrease budget wasted on irrelevant targets.

Strategic Use Cases:

1. Highly Personalized Marketing Campaigns

   • Deliver tailored offers, recommendations, and content that align with individual consumer preferences.
   • Boost engagement and loyalty by making every touchpoint relevant and meaningful.

2. Market Expansion and Product Launches

   • Identify segments most receptive to new products or services, ensuring successful market entry.
   • Stay ahead of consumer demands, evolving your product line and marketing mix to meet changing preferences.

3. Competitive Analysis and Trend Forecasting

   • Leverage consumer insights to anticipate emerging trends and outpace competitors in capturing new markets.
   • Adjust marketing strategies proactively to capitalize on seasonal, cultural, or economic shifts.

4. Customer Retention and Loyalty Programs

   • Use historical purchase and engagement data to identify at-risk customers and implement retention strategies.
   • Cultivate brand advocates by delivering personalized offers and exclusive perks to loyal consumers.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality consumer marketing data at unmatched prices, ensuring maximum ROI for your outreach efforts.

2. Seamless Integration

   • Easily incorporate the API into existing workflows, eliminating data silos and manual data management.

3. Data Accuracy with AI Validation

   • Depend on 99% accuracy to guide data-driven decisions, refine targeting, and elevate your marketing initiatives.

4. Customizable and Scalable Solutions

   • Tailor datasets to focus on specific demog...

During a 2025 survey among marketers worldwide, around 83 percent reported using Facebook for marketing purposes. Instagram and LinkedIn followed, respectively mentioned by 78 and 69 percent of the respondents. The global social media marketing segment According to the same study, 60 percent of responding marketers intended to increase their organic use of YouTube for marketing purposes throughout that year. LinkedIn and Instagram followed with similar shares, rounding up the top three social media platforms attracting a planned growth in organic use among global marketers in 2025. Their main driver is increasing brand exposure and traffic, which led the ranking of benefits of social media marketing worldwide. Social media for B2B marketing Social media platform adoption rates among business-to-consumer (B2C) and business-to-business (B2B) marketers vary according to each subsegment's focus. While B2C professionals prioritize Facebook and Instagram, both run by Meta, Inc., due to their popularity among online audiences, B2B marketers concentrate their endeavors on Microsoft-owned LinkedIn due to its goal to connect people and companies in a corporate context.