Introduction

Digital Marketing Statistics: The digital marketing landscape continues to transform, driven by advancements in technology and shifts in consumer behaviors. As businesses increasingly turn to online platforms, digital marketing has become an essential tool for reaching target audiences.

The widespread adoption of mobile devices, social media, and emerging technologies, including artificial intelligence and big data analytics, drives the growth in digital advertising. As a result, marketers are focusing on personalized content, automation, and data-informed strategies to boost customer engagement and drive conversions.

This evolving environment underscores the growing significance of digital marketing, which is playing a pivotal role in shaping business strategies and transforming the dynamics of consumer-brand interactions across various sectors.

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

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

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%.

It’s early morning, and a coffee shop owner in Austin, Texas, glances at her smartphone, reviewing campaign metrics from a social ad she posted the night before. By lunchtime, a lead has converted, and she’s sold out of the featured item. This is digital marketing in 2025, real-time, hyper-personalized, and...

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.

Importance of Digital Marketing Statistics

By leveraging them, you may remain competitive. Data can be used to discover what others are doing. It is always feasible to stay ahead of the competition. Using statistical data, you can prioritize your actions. To carry out a cross-marketing strategy, it is vital to compare the performance of various platforms.

When you have statistical support, it is easier to make effective decisions. Using digital marketing analytics can provide confidence in knowing what works. Reduce your time spent strategizing. With the time saved, it is able to accomplish other critical activities such as SEO or auditing.

Curated statistics highlighting why online presence is essential in 2025: search dependence, Google dominance, local/mobile behavior, AI/zero-click, content/video performance, and technical UX.

Dataset

This dataset was created by Le Grande

Released under Apache 2.0

Contents

Dataset

This dataset was created by Jieun Jung

Contents

In 2024, spending on advertising and marketing in digital and alternative media worldwide grew by over ** percent. Meanwhile, investments in traditional media increased by little more than * percent. The same study projected that online and offline advertising and marketing combined global revenues would surpass **** trillion dollars.

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...

This dataset provides comprehensive marketing statistics and insights from HubSpot, covering various trends, metrics, and benchmarks across the digital marketing landscape.

Overview

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

Features

Demographic Information

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

Marketing-specific Variables

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

Customer Engagement Variables

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

Historical Data

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

Target Variable

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

Potential Applications

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

Usage

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

Dataset Usage and Attribution Notice

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

Exclusive Synthetic Dataset

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

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

During an early 2020 survey carried out among marketing leaders from ** countries, ** percent of respondents reported using social media as a digital channel for their marketing strategy. To compare, ** percent of professionals said they used search marketing and ** percent of videos or OTT.

Introduction

Email Marketing Statistics: Email marketing remains one of the most effective and impactful tools for businesses to engage with their audience, drive conversions, and build lasting customer relationships. Known for its cost-effectiveness, personalization capabilities, and direct reach to a broad audience, email remains a dominant force in the digital marketing landscape.

As the industry evolves, staying informed about the latest trends, benchmarks, and statistics is essential for maintaining a competitive edge and optimizing your marketing efforts. Email marketing statistics provide valuable insights into current industry trends, consumer behaviors, and the performance of various campaigns.

From open rates and click-through rates to the rising significance of mobile optimization, these statistics highlight what’s working in email marketing today

This dataset provides comprehensive statistics and trends in digital marketing, covering areas such as PPC, SEO, social media, and content marketing in 2022.

The digital marketing software market in Japan was valued at about *** billion Japanese yen in 2025. Based on the expectation that further utilization of generative artificial intelligence (AI) and databases would transform digital marketing software from an efficiency tool into a strategic asset, it was expected that the market would grow further and reach a value of ***** billion yen by 2028.

The "Cloud-Enabled Marketing Strategy Dataset" is a collection of data designed to facilitate research on optimizing digital marketing strategies using cloud computing technologies. It encompasses a range of features that reflect consumer behavior, social media engagement, transaction patterns, market trends, and the performance of marketing campaigns. The dataset is ideal for developing machine learning models to predict customer responses, personalize marketing efforts, and assess the effectiveness of different marketing channels.

Key Features: Consumer Demographics:

customer_id: Unique identifier for each customer age: Age of the customer gender: Customer's gender income_level: Income category (Low, Medium, High) education_level: Education background Social Media Engagement:

platform: Social media platform (e.g., Facebook, Instagram, Twitter) likes_received: Number of likes received on posts comments_posted: Number of comments posted by the customer shares: Number of shares of content time_spent_per_week: Time spent on social media per week (in hours) Transaction Data:

average_order_value: Average value of customer orders frequency_of_purchases: Frequency of purchases made by the customer discounts_used: Whether the customer used discounts (binary: Yes/No) cart_abandonment_rate: Percentage of abandoned carts Market Trends:

search_trends_index: Popularity of a product or service over time seasonal_effect: Seasonality impact (e.g., Holiday, Summer) competitor_offers: Presence of competitor offers (binary: Yes/No) Customer Sentiment & Interaction:

sentiment_score: Sentiment of customer reviews or feedback (-1 to 1) customer_support_queries: Number of queries the customer has made response_time: Average time taken to resolve customer queries Marketing Campaign Performance:

campaign_id: Identifier for marketing campaigns marketing_channel: Type of marketing channel used (e.g., Email, TV Ads) ad_spent: Amount of money spent on the marketing campaign (USD) conversion_rate: Conversion rate from the campaign (percentage) ROI: Return on Investment for the campaign (percentage) Target Column:

customer_response: Whether the customer responded positively to a campaign (1 for positive, 0 for negative)

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.