Overview This dataset comprises detailed records of customer support tickets, providing valuable insights into various aspects of customer service operations. It is designed to aid in the analysis and modeling of customer support processes, offering a wealth of information for data scientists, machine learning practitioners, and business analysts.

Dataset Description The dataset includes the following features:

Ticket ID: Unique identifier for each support ticket. Customer Name: Name of the customer who submitted the ticket. Customer Email: Email address of the customer. Customer Age: Age of the customer. Customer Gender: Gender of the customer. Product Purchased: Product for which the customer has requested support. Date of Purchase: Date when the product was purchased. Ticket Type: Type of support ticket (e.g., Technical Issue, Billing Inquiry). Ticket Subject: Brief subject or title of the ticket. Ticket Description: Detailed description of the issue or inquiry. Ticket Status: Current status of the ticket (e.g., Open, Closed, Pending). Resolution: Description of how the ticket was resolved. Ticket Priority: Priority level of the ticket (e.g., High, Medium, Low). Ticket Channel: The Channel through which the ticket was submitted (e.g., Email, Phone, Web). First Response Time: Time taken for the first response to the ticket. Time to Resolution: Total time taken to resolve the ticket. Customer Satisfaction Rating: Customer satisfaction rating for the support received. Usage This dataset can be utilized for various analytical and modeling purposes, including but not limited to:

Customer Support Analysis: Understand trends and patterns in customer support requests, and analyze ticket volumes, response times, and resolution effectiveness. NLP for Ticket Categorization: Develop natural language processing models to automatically classify tickets based on their content. Customer Satisfaction Prediction: Build predictive models to estimate customer satisfaction based on ticket attributes. Ticket Resolution Time Prediction: Predict the time required to resolve tickets based on historical data. Customer Segmentation: Segment customers based on their support interactions and demographics. Recommender Systems: Develop systems to recommend products or solutions based on past support tickets. Potential Applications: Enhancing customer support workflows by identifying bottlenecks and areas for improvement. Automating the ticket triaging process to ensure timely responses. Improving customer satisfaction through predictive analytics. Personalizing customer support based on segmentation and past interactions. File information: The dataset is provided in CSV format and contains 8470 records and [number of columns] features.

This statistic displays information on the amount of time individuals spent awake per day in the United Kingdom (UK) in 2014, broken down by age group and gender. That year, the average awake time for UK adults aged 16 years and older was *** minutes or ** hours and ** minutes. In 2014, the average UK male spent ** minutes longer being awake than the average female, at *** minutes and *** minutes respectively. A 2016 survey found that UK adults aged 16 years and older spent roughly *** minutes, or nearly ** percent, of their daily awake time on media and communications activities, such as watching television and videos, listening to the radio or music and communicating via email or instant messengers.

Despite the growth and prominence of mobile messengers and chat apps, e-mail is an integral part of daily online life. In 2023, the number of global e-mail users amounted to **** billion and is set to grow to **** billion users in 2027. Global e-mail audiencesIn 2023, approximately *** billion e-mails were sent and received every day worldwide. This figure is projected to increase to over *** billion daily e-mails in 2027. As of July 2022, Apple Mail Privacy accounted for over half of the e-mail opens, while mobile use of e-mails saw a significant decrease in their market shares. Apple MPP e-mail app was the most popular e-mail client, accounting for ** percent of e-mail opens. Gmail, the free e-mail service owned by Google, was ranked second with a ** percent open share. Malicious mailMany online users use e-mails for website and newsletter signups and brace themselves for the inevitable flood of spam and marketing communications. Whereas most unwanted e-mails are annoying yet ultimately benign, consumers are right to be wary of malicious e-mail that can be used to compromise their digital accounts and devices. In 2023, ** percent of fraud reports in the United States related to cases in which victims were contacted via e-mail.

With the internet becoming increasingly accessible, the number of e-mails sent and received globally has increased each year since 2017. In 2022, there were an estimated 333 billion e-mails sent and received daily around the world. This figure is projected to increase to 392.5 billion daily e-mails by 2026.

E-Mail marketing Despite the increasing popularity of messengers, chat apps and social media, e-mail has managed to remain central to digital communication and continues to grow in uptake. By 2025, the number of global e-mail users is expected to reach a total of 4.6 billion - an approximate six hundred thousand increase in users, up from 4 billion in 2020. Not only that, when it comes to online advertising e-mail has seen higher click-through-rates than on social media. In Belgium and Germany, these were 5.5 and 4.3 percent respectively - compared to the 1.3 percent global average CTR for social media during the same time period.

Gmail Launched in April 2004, Google’s Gmail has earned its spot as one of the most popular freemail services in the world. According to a 2019 survey, its popularity worldwide was trumped only by Apple’s native iPhone Mail app with 26 percent of all e-mail opens worldwide taking place on the platform. Millennials surveyed in the United Kingdom listed Gmail among their top 5 most important mobile apps, while a similar survey carried out in Sweden saw Gmail tie with WhatsApp for a spot among the top mobile apps nationwide.