As of February 2025, it was found that around 14.1 percent of TikTok's global audience were women between the ages of 18 and 24 years, while male users of the same age formed approximately 16.6 percent of the platform's audience. The online audience of the popular social video platform was further composed of 14.6 percent of female users aged between 25 and 34 years, and 20.7 percent of male users in the same age group.

As of April 2024, almost 32 percent of global Instagram audiences were aged between 18 and 24 years, and 30.6 percent of users were aged between 25 and 34 years. Overall, 16 percent of users belonged to the 35 to 44 year age group.

              Instagram users

              With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo sharing app is especially popular in India and in the United States, which have respectively 362.9 million and 169.7 million Instagram users each.

              Instagram features

              One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo sharing app that initially became famous due to it’s “vanishing photos” feature.
              As of the second quarter of 2021, Snapchat had 293 million daily active users.

According to the most recent data, U.S. viewers aged 15 years and older spent on average two hours and 36 minutes watching TV per day in 2024. Adults aged 75 and above spent the most time watching television at over four hours, whilst 20 to 24-year-olds watched TV for less than two hours each day. The dynamic TV landscape The way people consume video entertainment platforms has significantly changed in the past decade, with a forecast suggesting that the time spent watching traditional TV in the U.S. will probably decline in the years ahead, while digital video will gain in popularity. Younger age groups in particular tend to cut the cord and subscribe to video streaming services, such as Netflix, Hulu, and Amazon Prime Video. TV advertising in a transition period Similarly, the TV advertising market made a development away from traditional linear TV towards online media. While the ad spending on traditional TV in the U.S. generally increased until the end of the 2010s, this value is projected to decline to below 60 billion U.S. dollars in the next few years. By contrast, investments in connected TV advertising are expected to steadily grow, despite the amount being just over half of the traditional TV ad spend by 2025.

The dataset includes 1,000 rows of PPC campaign performance data, and the following columns:

• Campaign_ID: Unique identifier for each campaign.
• Budget: The allocated budget for the campaign (in USD).
• Clicks: The number of user clicks generated by the campaign.
• CTR (Click-Through Rate): The ratio of clicks to impressions, indicating the effectiveness of the campaign in attracting clicks.
• CPC (Cost Per Click): The average cost per click, calculated as the budget divided by the number of clicks.
• Conversions: The number of actions or desired outcomes (e.g., purchases, sign-ups) generated by the campaign.
• CPA (Cost Per Acquisition): The average cost to acquire one conversion, calculated as the budget divided by conversions.
• Conversion_Rate: The ratio of conversions to clicks, representing the effectiveness of the campaign in turning clicks into actions.
• Duration: The length of the campaign in days.
• Platform: The digital platform where the campaign was run (e.g., Instagram, LinkedIn, YouTube, Facebook, Google).
• Content_Type: The type of content used in the campaign (e.g., Image, Video, Carousel, Text).
• Target_Age: The target age group for the campaign (e.g., 18-24, 25-34, etc.).
• Target_Gender: The target gender for the campaign (e.g., Male, Female, Other).
• Region: The geographic region where the campaign was targeted (e.g., North America, Europe, Asia).
• Revenue: The total revenue generated by the campaign from conversions.
• Spend: The total amount spent on the campaign.
• ROAS (Return on Ad Spend): A key performance metric, calculated as the revenue divided by the spend, representing how effectively the ad spend generated revenue.
• Date: The date when the data was recorded.
• Impressions: The total number of times the ad was displayed, calculated as clicks divided by CTR.

Demographical Shopping Purchases Data

Analyzing customer purchasing patterns and preferences

By Joseph Nowicki [source]

About this dataset

This dataset contains demographic information about customers who have made purchases in a store, including their name, IP address, region, age, items purchased, and total amount spent. Furthermore, this data can provide insights into customer shopping behaviour for the store in question - from their geographical information to the types of products they purchase. With detailed demographic data like this at hand it is possible to make strategic decisions regarding target customers as well as developing specific marketing campaigns or promotions tailored to meet their needs and interests. By gaining deeper understanding of customer habits through this dataset we unlock more possibilities for businesses seeking higher engagement levels with shoppers

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How to use the dataset

This dataset includes information such as customer's names, IP address, age, items purchased and amount spent. This data can be used to uncover patterns in spending behavior of shoppers from different areas or regions across demographics like age group or gender.

Research Ideas

• Analyze customer shopping trends based on age and region to maximize targetted advertising.
• Analyze the correlation between customer spending habits based on store versus online behavior.
• Use IP addresses to track geographical trends in items purchased from a particular online store to identify new markets for targeted expansion

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: Demographic_Data_Orig.csv | Column name | Description | |:---------------|:------------------------------------------------------------------------------------------------| | full.name | The full name of the customer. (String) | | ip.address | The IP address of the customer. (String) | | region | The region of residence of the customer. (String) | | in.store | A boolean value indicating whether the customer made the purchase in-store or online. (Boolean) | | age | The age of the customer. (Integer) | | items | The number of items purchased by the customer. (Integer) | | amount | The total amount spent by the customer. (Float) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Joseph Nowicki.

Over the five years through 2025-26, industry revenue is forecast to expand at a compound annual rate of 20.3% to reach £12.5 billion. Social media platforms are integral to people's lives, offering ways to communicate, create and view content and share information. According to Ofcom, approximately 89% of UK internet users in 2023 used social media apps or sites. Teenagers and young adults are the biggest users. Advertising is the primary revenue source for social media platforms, although subscription-based services are gaining momentum as platforms seek to diversify their incomes. TikTok is the success story of the past five years, becoming the most downloaded app between 2020 and 2022, according to Apptopia. The short-form video platform has over 30 million monthly users in the UK in 2025. After Musk's takeover, X, formerly known as Twitter, adjusted its content moderation and allowed previously banned accounts to return. As a result, over 600 advertisers pulled their ads from the site because of fears their brand may be associated with malcontent. In response to falling ad revenue, X has introduced a subscription-based service which enables users to verify themselves and boosts the number of people who view their tweets. Meta-owned Facebook and Instagram have responded by introducing a similar service. In 2025, more social media platforms are using AI to boost user engagement. This improves click-through rates and drives higher advertising revenue. Industry revenue is expected to grow by 6.3% in 2025-26. Over the five years through 2030-31, social media platforms' revenue is projected to climb at an estimated 9.2% to reach £19.4 billion. Regulations relating to how data is collected, stored, and shared will force advertisers and platforms to rethink how they can target their desired demographics. The tightening of regulations will raise industry compliance costs, weighing on profit margin. Older age groups present a new revenue opportunity for social media platforms if they can bridge the gap between passive TV consumption and interactive digital engagement. Augmented Reality (AR) technology will move beyond filters to become standard for immersive product trials, interactive ads, and virtual meetups

During a 2024 survey among marketers worldwide, approximately 83 percent selected increased exposure as a benefit of social media marketing. Increased traffic followed, mentioned by 73 percent of the respondents, while 65 percent cited generated leads.

              The multibillion-dollar social media ad industry

              Between 2019 – the last year before the pandemic – and 2024, global social media advertising spending skyrocketed by 140 percent, surpassing an estimated 230 billion U.S. dollars in the latter year. That figure was forecast to increase by nearly 50 percent by the end of the decade, exceeding 345 billion dollars in 2029. As of 2024, the social media networks with the most monthly active users were Facebook, with over three billion, and YouTube, with more than 2.5 billion.

              Pros and cons of GenAI for social media marketing

              According to another 2024 survey, generative artificial intelligence's (GenAI) leading benefits for social media marketing according to professionals worldwide included increased efficiency and easier idea generation. The third place was a tie between increased content production and enhanced creativity. All those advantages were cited by between 33 and 38 percent of the interviewees. As for GenAI's top challenges for global social media marketing,
              maintaining authenticity and the value of human creativity ranked first, mentioned by 43 and 40 percent of the respondents, respectively. Another 35 percent deemed ensuring the content resonates as an obstacle.

Analyzing Customer Spending Habits to Improve Sales Performance

A Cross-Country Study

By Vineet Bahl [source]

About this dataset

This Sales Data dataset offers a unique insight into the spending habits of customers from various countries across the globe. With detailed information on customer age, gender, product category, quantity, unit cost and price, as well as revenue generated through sales of products listed in this dataset, you can explore and discover patterns in consumer behavior. Analyze shifts in consumer trends with qualitative data like customer age and gender to know what drives customers’ decisions when shopping online or offline. Compare different markets to analyze pricing strategies for new product launches or promotional campaigns. Also with this dataset you can gain valuable insights about the changes in consumer demand for specific products over time – find out which Products had better margin or however see how different promotions impacted overall sales performance from different categories and sub-categories! Analyzing consumer behavior is key to success when it comes to commerce business models so this Sales Data offers powerful ways into understanding your customer base better!

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How to use the dataset

This dataset presents a great opportunity to actively analyze customer spending habits on products and services to improve sales performance. The data contains information about the date of purchase, year, month, customer age, gender, country, state and product category. Further analysis can reveal insights into different customer segments based on their demographic characteristics such as age and gender as well as location (country & state).

The dataset also includes 3 additional columns at the end: quantity purchased in each transaction, unit cost and unit price for each product or service purchased which can be used to determine if customers are purchasing items in bulk or buying more expensive items than usual. Likewise any discrepancies between the unit cost & price can help establish whether discounts were applied during those transactions which could potentially point towards loyalty or reward programs being put in place for returning customers. Lastly the final column shows total revenue generated from those purchases which we can use to identify any patterns whereby certain groups of customers show higher purchasing power than others based on their spends (unit cost & quantity combination) over various periods/months/years of sales interactions with them.

In summary this dataset allows us to explore numerous dimensions related to ascertaining superior sales performance by studying how its various attributes play out together when it comes down to driving profitability through improved customer acquisition strategies as well increasing purchase rates from existing ones minus any discounts available in-between!

Research Ideas

• Analyzing customer demographics by countries and states to better target future marketing campaigns.

• Tracking changes in customers’ spending habits over time for different product categories.

• Identifying which product categories have the highest average revenue per sale to help prioritize resources for those products or services

Acknowledgements

If you use this dataset in your research, please credit the original authors.

Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: SalesForCourse_quizz_table.csv | Column name | Description | |:---------------------|:--------------------------------------------------| | Date | Date of the sale. (Date) | | Year | Year of the sale. (Integer) | | Month | Month of the sale. (Integer) | | Customer Age | Age of the c...

As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

              Teens and social media

              As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
              Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.

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Description:

The advertising dataset captures the sales revenue generated with respect to advertisement costs across multiple channels like radio, tv, and newspapers.

It is required to understand the impact of ad budgets on the overall sales.

Acknowledgement:

The dataset is taken from Kaggle

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the sales w.r.t a single & multiple features.
• Also evaluate the models & compare their respective scores like R2, RMSE, etc.

According to Cognitive Market Research, the global Kids Digital Advertising market size will be USD 8240 million in 2025. It will expand at a compound annual growth rate (CAGR) of 23.40% from 2025 to 2033.

North America held the major market share for more than 37% of the global revenue with a market size of USD 3048.80 million in 2025 and will grow at a compound annual growth rate (CAGR) of 21.6% from 2025 to 2033.
Europe accounted for a market share of over 29% of the global revenue with a market size of USD 2389.60million.
APAC held a market share of around 24% of the global revenue with a market size of USD 1977.60 million in 2025 and will grow at a compound annual growth rate (CAGR) of 26.5% from 2025 to 2033.
South America has a market share of more than 4% of the global revenue with a market size of USD 313.12 million in 2025 and will grow at a compound annual growth rate (CAGR) of 24.2% from 2025 to 2033.
Middle East had a market share of around 4.00% of the global revenue and was estimated at a market size of USD 329.60 million in 2025 and will grow at a compound annual growth rate (CAGR) of 24.9% from 2025 to 2033.
Africa had a market share of around 2.2% of the global revenue and was estimated at a market size of USD 181.28 million in 2025 and will grow at a compound annual growth rate (CAGR) of 23.7% from 2025 to 2033.
Desktop & Laptops category is the fastest growing segment of the Kids Digital Advertising industry

Market Dynamics of Kids Digital Advertising Market

Key Drivers for Kids Digital Advertising Market

Growing Utilization of Cutting-Edge Digital Marketing Tools to Boost Market Growth

businesses are investing a lot of money in digital marketing since it strengthens their brand, expands their customer base, and increases return on investment (ROI). These days, kids use social media sites like Facebook, Instagram, Snapchat, and educational apps. As a result, targeting children is simple for digital advertising companies. Digital marketing firms employ a range of advertising formats, including broadcast, sponsored search, social media, and display advertising. For instance, According to a parent study conducted in October 2021 by C.S. Mott Children's Hospital, 49% of parents of children aged 10 to 12 reported using social media apps in the previous six months, followed by educational apps (28%), and miscellaneous apps (23%). 32% of parents reported using social media applications, 50% said they used educational apps, and 18% said they used other apps for children ages 7 to 9.

https://mottpoll.org/reports/sharing-too-soon-children-and-social-media-apps

Increasing in Children's Smartphone Adoption and Internet Penetration Boosts The Need For Advanced kids Digital Advertising To Boost Market Growth

In addition to the channels and choices they make, children's extensive usage of technology is having a significant impact on families. The market for digital advertising for children is anticipated to grow as more children acquire smartphones. Additionally, the internet has transformed the world, helping businesses, sectors, and consumers alike. One major factor contributing to the sharp rise in mobile applications is the rise in mobile Internet usage, which is expected to drive the children's digital advertising market over the course of the projected period.

Restraint Factor for the Kids Digital Advertising Market

Parental Concerns About the Effect on Health Of kids Digital Advertising Limit Market Growth, Will Limit Market Growth

The possible harm that digital advertisements may do to children's development, behavior, and mental health is making parents more conscious. Increased scrutiny and opposition to digital advertising aimed at youngsters are the results of this expanding awareness. In order to allay these worries, advertisers need to develop moral and responsible advertising strategies that put the welfare of kids first. Regulations have been put in place by governments and trade associations to guarantee that advertisements are age-appropriate, truthful, and do not take advantage of children's inexperience. These rules restrict the kinds of products and presentational styles that can be promoted to youngsters. These rules must be followed by advertisers, which may limit their marketing tactics and creative freedom.

Market Trends in Kids Digital Advertising Market

Growing Digital Platforms to Lead Global ...

How much time do people spend on social media?

              As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in
              the U.S. was just two hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively.
              People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general.
              During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

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.

Social media companies are starting to offer users the option to subscribe to their platforms in exchange for monthly fees. Until recently, social media has been predominantly free to use, with tech companies relying on advertising as their main revenue generator. However, advertising revenues have been dropping following the COVID-induced boom. As of July 2023, Meta Verified is the most costly of the subscription services, setting users back almost 15 U.S. dollars per month on iOS or Android. Twitter Blue costs between eight and 11 U.S. dollars per month and ensures users will receive the blue check mark, and have the ability to edit tweets and have NFT profile pictures. Snapchat+, drawing in four million users as of the second quarter of 2023, boasts a Story re-watch function, custom app icons, and a Snapchat+ badge.

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)

Kellogg Company spent *** million U.S. dollars on advertising in the United States in 2019. The food manufacturing company has been lowering its promotional investments in U.S. media by roughly ** million dollars each year since 2016, with the highest decrease seen in 2019.

The Middle East Media and Entertainment Market is Segmented by Type (Digital Music, Video Games, and More), Platform (Online/Digital, Traditional/Linear, and Hybrid), Revenue Model (Subscription-Based, Advertising-Supported, and More), End-User Age Group (Generation Z, Millennials, and More), Device (Smartphones, Smart TVs and Connected TV Devices, and More), and Country. The Market Forecasts are Provided in Terms of Value (USD).

Facebook probably needs no introduction; nonetheless, here is a quick history of the company. The world’s biggest and most-famous social network was launched by Mark Zuckerberg while he was a...

Daily supplement habits, widening nutrient gaps and stable online shopping routines have supported reliable sales for online vitamin and supplement retailers in recent years. Which? reports that 76% of UK adults use supplements and the National Diet and Nutrition Survey shows persistent vitamin D deficiency across several age groups. These conditions give the industry a dependable base of customers who buy for long-term well-being, supporting steady online sales even as household budgets have tightened. At the same time, growth in online retail has settled, meaning retailers now compete in a channel where customers compare products across multiple websites before committing to a purchase. Over the five years through 2025-26, industry revenue is projected to rise at a compound annual rate of 3.9% to reach £1.5 billion, with revenue set to grow by 1% in 2025-26. Supermarkets, pharmacies and sports nutrition brands have improved their online stores, pulling traffic away from specialist websites and reducing the scope for retailers to rely on loyalty or a wide product range. Investigations into unsafe high-dose supplements and stricter advertising standards have increased compliance requirements, prompting businesses to review claims, strengthen product checks and present clearer dosage guidance. Cost pressures have also weighed on profitability. Rising wages, higher energy charges, more expensive digital advertising and climbing courier fees have made it harder for retailers to maintain margins in a market where customers expect quick delivery and predictable pricing. Over the five years through 2030-31, industry revenue is forecast to grow at a compound annual rate of 3.5% to reach £1.8 billion. Slow real income growth will limit rapid expansion, although easing inflation should help more households maintain their existing routines. Long-term demographic shifts, especially a growing older population and rising self-care behaviour, will continue to support spending on immunity, joint, bone and heart health products. However, tighter online safety rules and new limits on health-related targeting will increase marketing costs and reduce the impact of aggressive digital advertising. Future growth will favour retailers that blend accurate health information, transparent sourcing and efficient fulfilment with subscription models that secure repeat orders in a cautious but resilient market.

The South America Mobile Gaming Market Report is Segmented by Platform (Android, IOS, Others), Game Genre (Casual/Hyper-casual, Action/Shooter, Strategy, RPG, Sports/Racing), Revenue Model (In-App Purchase, Advertising-Supported, Subscription/Battle-Pass, Cloud-Gaming Access Fees), Age Group (13-17 Yrs, 18-34 Yrs, 35-44 Yrs, 45+ Yrs), and Geography. The Market Forecasts are Provided in Terms of Value (USD).