In 2021, mobile users in the United States sent roughly 2 trillion SMS or MMS messages. Following a sharp drop off in 2012, the number of SMS and MMS messages sent in the U.S. has generally increased over the past several years to another peak in 2020, during the COVID pandemic, at 2.2 trillion SMS or MMS messages.

During a 2022 survey carried out among consumers from the United States, 47 percent of responding millennials stated they liked being contacted by brands via text messages. The same was true for 44 percent of respondents from Generation Z.

Overview: The QuitNowTXT text messaging program is designed as a resource that can be adapted to specific contexts including those outside the United States and in languages other than English. Based on evidence-based practices, this program is a smoking cessation intervention for smokers who are ready to quit smoking. Although evidence supports the use of text messaging as a platform to deliver cessation interventions, it is expected that the maximum effect of the program will be demonstrated when it is integrated into other elements of a national tobacco control strategy. The QuitNowTXT program is designed to deliver tips, motivation, encouragement and fact-based information via unidirectional and interactive bidirectional message formats. The core of the program consists of messages sent to the user based on a scheduled quit day identified by the user. Messages are sent for up to four weeks pre-quit date and up to six weeks post quit date. Messages assessing mood, craving, and smoking status are also sent at various intervals, and the user receives messages back based on the response they have submitted. In addition, users can request assistance in dealing with craving, stress/mood, and responding to slips/relapses by texting specific key words to the QuitNow. Rotating automated messages are then returned to the user based on the keyword. Details of the program are provided below. Texting STOP to the service discontinues further texts being sent. This option is provided every few messages as required by the United States cell phone providers. It is not an option to remove this feature if the program is used within the US. If a web-based registration is used, it is suggested that users provide demographic information such as age, sex, and smoking frequency (daily or almost every day, most days, only a few days a week, only on weekends, a few times a month or less) in addition to their mobile phone number and quit date. This information will be useful for assessing the reach of the program, as well as identifying possible need to develop libraries to specific groups. The use of only a mobile phone-based registration system reduces barriers for participant entry into the program but limits the collection of additional data. At bare minimum, quit date must be collected. At sign up, participants will have the option to choose a quit date up to one month out. Text messages will start up to 14 days before their specified quit date. Users also have the option of changing their quit date at any time if desired. The program can also be modified to provide texts to users who have already quit within the last month. One possible adaptation of the program is to include a QuitNowTXT "light" version. This adaptation would allow individuals who do not have unlimited text messaging capabilities but would still like to receive support to participate by controlling the number of messages they receive. In the light program, users can text any of the programmed keywords without fully opting in to the program. Program Design: The program is designed as a 14-day countdown to quit date, with subsequent six weeks of daily messages. Each day within the program is identified as either a pre-quit date (Q- # days) or a post-quit date (Q+#). If a user opts into the program fewer than 14 days before their quit date, the system will begin sending messages on that day. For example, if they opt in four days prior to their quit date, the system will send a welcome message and recognize that they are at Q-4 (or four days before their quit date), and they will receive the message that everyone else receives four days before their quit date. As the user progresses throughout the program, they will receive messages outlined in the text message library. Throughout the program, users will receive texts that cover a variety of content areas including tips, informational content, motivational messaging, and keyword responses. The frequency of messages incre

This statistic shows mobile messaging volumes in the U.S. for selected years between 2004 and 2014. In 2010, approximately 2,109 billion messages were sent in total, up from 56 billion in 2004.

U.S. mobile messaging volumes - additional information

A total of around 2.2 trillion text messages were sent in the United States in 2012, marking an almost tenfold increase on the figure from 2006. A further 74 million MMS messages were sent in the country in 2012, an increase from 3 million in 2006. In 2013, the United States was the country with the highest average number of text messages sent per month and per mobile connection. Over 460 messages were sent monthly per mobile connection in the United States, in comparison to 188 in the United Kingdom and 122 in Germany.

The most active age group for sending and receiving text messages in the United States were those aged 18 to 29, as 97 percent of respondents said that they did use mobile messaging in 2013. By comparison, only 35 percent of those aged 65 and older said that they used their mobile phone for text messaging in 2013.

Rather than using a mobile phone’s integrated text messaging service, many users are opting for third party apps to communicate. As of January 2015, mobile messaging service WhatsApp had around 700 million monthly active users, marking double the amount of users it had in October 2013. Within the U.S. market, iOS and Android users spent a total of 680 million minutes on WhatsApp in February 2013, with those aged between 25 and 34 years most likely to use the service in 2014.

The number of text messages sent in Hungary fluctuated over the observed period. The lowest number was recorded in the second quarter of 2020 when approximately 259 million text messages were sent in the country. In the second quarter of 2023, Hungarians sent approximately 263 million SMS.

Text Messaging Lists and SMS Marketing Lists. 40K plus filters. Search using detailed Demographic criteria and Geographic information on ProMarketing Leads.

This statistic depicts the share of staffing professionals in the United States using text message management software in 2018. During the survey, over 66 percent of staffing professionals reported that they use text message management software.

In the fourth quarter of 2023, 566 million SMS text messages were sent in the Netherlands. The number of messages sent fluctuated in 2022 and 2023, having dipped as low as 522 million in the first quarter of 2023.

==Data Set Information: This corpus has been collected from free or free for research sources at the Internet: -> A collection of 425 SMS spam messages was manually extracted from the Grumbletext Web site. This is a UK forum in which cell phone users make public claims about SMS spam messages, most of them without reporting the very spam message received. The identification of the text of spam messages in the claims is a very hard and time-consuming task, and it involved carefully scanning hundreds of web pages. The Grumbletext Web site is: [Web Link]. -> A subset of 3,375 SMS randomly chosen ham messages of the NUS SMS Corpus (NSC), which is a dataset of about 10,000 legitimate messages collected for research at the Department of Computer Science at the National University of Singapore. The messages largely originate from Singaporeans and mostly from students attending the University. These messages were collected from volunteers who were made aware that their contributions were

Traditional Chinese SMS corpus, 10 million in total, real traditional Chinese spoken language text data; only contains text messages; the content is stored in txt format; the data set can be used for natural language understanding and related tasks.

During a December 2023 survey carried out among business owners and marketing managers in the United States, 31 percent of respondents stated that they started using text marketing because it offered high open and click-through rates. One in three said the cost-effectivity of text marketing was their primary motivation for investing in that channel.

This statistic shows the frequency of sending or receiving text messages in the United Kingdom (UK) in 2019, by gender. Of the female respondents, 57 percent used their mobile phone to send or receive text several times a day. Text messaging and instant messaging is a way to communicate without actually speaking to another person. This makes communication more thought out and detailed than in a voice call.

Over three billion people use messaging apps, making them one of the most popular app types. For most people, mobile messaging consists of two platforms: Facebook Messenger and WhatsApp....

The Federal Motor Carrier Safety Administration's (FMCSA) Safety Management System (SMS) is an automated data system used by FMCSA to monitor motor carrier on-road safety performance. FMCSA analyzes safety performance by grouping carrier data in the SMS into seven Behavioral Analysis and Safety Improvement Categories (BASICs) which are, in turn, used to identify potential safety problems with individual carriers and determine when an enforcement intervention might be appropriate.

The dataset contains the SMS data for the riders. We are looking to use this information to derive insights about the financial health of the users. The objective of the assignment is to leverage this data to get financial insights about the users. Some of the pointers on what information can be derived from the data are highlighted in the questions in the next section. Note: Use these questions as guiding questions, you don't need to restrict yourself to those. Data description: phoneNumber: Phone number of the user (masked) Id: ID for the user who has the SMS updateAt: Datetime, when the SMS data was updated in the database. This is not the timestamp when the SMS was received
senderAddress: Code of the SMS data sender, can be used to club the sender details. Text: Actual text of the SMS

You are required to analyse this dataset and come up with interesting insights. Here are some questions to begin with: How many users are using more than one primary bank for their means of transaction? How many SMSs here contain financial transaction data? What percentage of transactions are income transactions vs expense transactions? What percentage of users are involved in EMI’s & Loans? How many users have most of their salary in the first 7 days of the month? What percentage of users tend to have a positive cashflow?

The dataset includes a list of SMS text messages in Arabic, French and English covering various subjects like production of olives, fruit trees, cereals, forages and livestock production. The messages are listed together with a schedule showing when to send the messages to farmers in the concerned delegations in Tunisia. The original data was stored in a docx file, that is included as reference.

This satellite dataset was prepared for the period covering the GARP Atlantic Tropical Experiment (GATE) in 1974. The raw data are from the first Synchronous Meteorological Satellite (SMS-1), which provided a good distortion-free view of the GATE ship array.

Cost-effectiveness of responses through SMS and phone calls.

This dataset contains replication materials for the Journal of Research on Educational Effectiveness paper entitled: "Using a Factorial Design to Maximize the Effectiveness of a Parental Text Messaging Intervention." Materials include the dataset and a script to replicate analyses.

This dataset tracks the updates made on the dataset "QuitNowTXT Text Messaging Library" as a repository for previous versions of the data and metadata.