Between the second half of 2019 and the first half of 2020, the loved brand on social media was Instagram. The social media platform had accumulated a total of 108.7 million "love" mentions across 104.7 million posts, generating 722 billion potential impressions and over two billion total engagements during the measured time frame. Second-ranked Amazon only generated 27.3 million "love" mentions.

To help you get the biggest takeaways from all of these digital marketing stats, I want to share some trends in marketing that’s working for businesses right now.

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%.

During a 2022 survey carried out among consumers who purchased something online in the past six months from various countries across the globe, ** percent stated they believed that trustworthiness and transparency were the most important traits of a brand, dominating all other traits. A year earlier, the share stood at ** percent.

During a global 2023 survey, approximately ** percent of responding members of generation Z – people born between the late 1990s and early 2010s – aged 16 and above agreed that they tended to buy brands reflecting their personal values. Gen Xers – born between the end of the 1960s and the beginning of the1980s – recorded a similar share, at ** percent. Among Millennials – or Generation Y, the age group between Gen Z and Gen X – the share reached ** percent. According to the same study, Indonesia, China, and India were among the world's markets where most consumers preferred brands reflecting their values.

These user generated content statistics will show you why this marketing technique is so powerful and how businesses benefit from it.

Search Engine Optimization is the process of optimising your website so that it ranks higher in the Google search results. SEO produces one of the highest ROIs of any marketing activity you can do. But the SEO industry is dominated by one search engine – Google. Google has the highest market share with 78.83% of all searches coming through Google. Bing has 12.23% and Yahoo just 3.07%.

With 92 percent, Netflix had the highest brand awareness among VOD services in the United States, followed by Hulu and Amazon Prime Video, according to a survey from 2025.For this study, brand awareness was surveyed employing the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.

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.

Introduction

Content Marketing Statistics: Content marketing has evolved into a powerful and results-oriented strategy for organizations in 2024, aiding in customer engagement, loyalty, and sales. As digital platforms proliferate and consumers begin to rely on Internet resources, businesses are putting more money into content creation to compete effectively.

For instance, the article will discuss content marketing statistics for the year 2025, with specific emphasis on market trends, spending patterns, and consumer behavior. It will incorporate figures, %ages, and explanations in an understanding manner.

During a survey of consumers in selected countries worldwide in 2024, ** percent of participants in Australia, Brazil, and the United Kingdom indicated that the authenticity of an influencer is important to them. Additionally, ** percent of participants from Australia and the United Kingdom, expressed the importance of transparency about influencers' brand relationships.

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

During a 2024 survey carried out among consumers from the United States, ** percent of respondents cited news about promotions, sales, and discounts as the main reason for following brands on social media. Another ** percent mentioned learning about new products or product updates as a reason for following a brand's account.

Financial overview and grant giving statistics of Brand Life Corp

Financial overview and grant giving statistics of Brand X Foundation

This dataset tracks influencer marketing campaigns across major social media platforms, providing a robust foundation for analyzing campaign effectiveness, engagement, reach, and sales outcomes. Each record represents a unique campaign and includes details such as the campaign’s platform (Instagram, YouTube, TikTok, Twitter), influencer category (e.g., Fashion, Tech, Fitness), campaign type (Product Launch, Brand Awareness, Giveaway, etc.), start and end dates, total user engagements, estimated reach, product sales, and campaign duration. The dataset structure supports diverse analyses, including ROI calculation, campaign benchmarking, and influencer performance comparison.

Columns: - campaign_id: Unique identifier for each campaign
- platform: Social media platform where the campaign ran
- influencer_category: Niche or industry focus of the influencer
- campaign_type: Objective or style of the campaign
- start_date, end_date: Campaign time frame
- engagements: Total user interactions (likes, comments, shares, etc.)
- estimated_reach: Estimated number of unique users exposed to the campaign
- product_sales: Number of products sold as a result of the campaign
- campaign_duration_days: Duration of the campaign in days

Getting Started with the Data

1. Load and Inspect the Dataset

import pandas as pd

df = pd.read_csv('influencer_marketing_roi_dataset.csv', parse_dates=['start_date', 'end_date'])
print(df.head())
print(df.info())

2. Basic Exploration

# Overview of campaign types and platforms
print(df['campaign_type'].value_counts())
print(df['platform'].value_counts())

# Summary statistics
print(df[['engagements', 'estimated_reach', 'product_sales']].describe())

3. Engagement and Sales Analysis

# Average engagements and sales by platform
platform_stats = df.groupby('platform')[['engagements', 'product_sales']].mean()
print(platform_stats)

# Top influencer categories by product sales
top_categories = df.groupby('influencer_category')['product_sales'].sum().sort_values(ascending=False)
print(top_categories)

4. ROI Calculation Example

# Assume a fixed campaign cost for demonstration
df['campaign_cost'] = 500 + df['estimated_reach'] * 0.01 # Example formula

# Calculate ROI: (Revenue - Cost) / Cost
# Assume each product sold yields $40 revenue
df['revenue'] = df['product_sales'] * 40
df['roi'] = (df['revenue'] - df['campaign_cost']) / df['campaign_cost']

# View campaigns with highest ROI
top_roi = df.sort_values('roi', ascending=False).head(10)
print(top_roi[['campaign_id', 'platform', 'roi']])

5. Visualizing Campaign Performance

import matplotlib.pyplot as plt
import seaborn as sns

# Engagements vs. Product Sales scatter plot
plt.figure(figsize=(8,6))
sns.scatterplot(data=df, x='engagements', y='product_sales', hue='platform', alpha=0.6)
plt.title('Engagements vs. Product Sales by Platform')
plt.xlabel('Engagements')
plt.ylabel('Product Sales')
plt.legend()
plt.show()

# Average ROI by Influencer Category
category_roi = df.groupby('influencer_category')['roi'].mean().sort_values()
category_roi.plot(kind='barh', color='teal')
plt.title('Average ROI by Influencer Category')
plt.xlabel('Average ROI')
plt.show()

6. Time-Based Analysis

# Campaigns over time
df['month'] = df['start_date'].dt.to_period('M')
monthly_sales = df.groupby('month')['product_sales'].sum()
monthly_sales.plot(figsize=(10,4), marker='o', title='Monthly Product Sales from Influencer Campaigns')
plt.ylabel('Product Sales')
plt.show()

Use Cases

• ROI Analysis: Quantify the return on investment for influencer campaigns across platforms and categories.
• Campaign Benchmarking: Compare campaign performance by type, influencer niche, or platform.
• Trend Analysis: Track engagement, reach, and sales trends over time.
• Influencer Selection: Identify high-performing influencer categories and campaign types for future partnerships.

The Brand Architecture Service market is a crucial segment of the broader marketing and branding industry, centered around the strategic organization and visual identity of brands. This service plays a vital role in determining how various products and services are categorized and presented under a corporate umbrell

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

This dataset provides information about the number of properties, residents, and average property values for Branding Iron Lane cross streets in Thousand Palms, CA.

During a 2024 global survey, approximately ** percent of responding consumers reported telling their friends or family about a bad experience with a brand, while ** percent sent feedback directly to the company. Three years earlier, those shares stood at about ** and ** percent, respectively. Meanwhile, the share of respondents who said they did not tell anyone about the bad experience rose from less than ** percent in 2021 to ** percent in 2024.