100+ datasets found
  1. k

    Marketing-Campaign-Analysis-Data

    • kaggle.com
    Updated Jul 18, 2021
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    (2021). Marketing-Campaign-Analysis-Data [Dataset]. https://www.kaggle.com/datasets/khanimar/marketing-campaign-analysis-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 18, 2021
    Description

    Analyzing a marketing campaign and predicting its success probability

  2. T

    Digital Marketing Analytics Market Forecast by Social Media Marketing and...

    • futuremarketinsights.com
    csv, pdf
    Updated Apr 15, 2024
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    Future Market Insights (2024). Digital Marketing Analytics Market Forecast by Social Media Marketing and Email Marketing for 2024 to 2034 [Dataset]. https://www.futuremarketinsights.com/reports/digital-marketing-analytics-market
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    Apr 15, 2024
    Dataset authored and provided by
    Future Market Insights
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2024 - 2034
    Area covered
    Worldwide
    Description

    With a major chunk of the world’s population relying on the Internet for their day-to-day operations and spending, digital marketing is rapidly gaining prominence, especially in businesses with the B2C model. This has taken the digital marketing analytics market’s expected valuation to a staggering US$ 6,979.7 million for 2024. Dedicated teams in corporations, institutes, and certifications associated with digital marketing analytics have also bolstered market growth in recent times.

    AttributesDetails
    Market Value for 2024US$ 6,979.7 million
    Projected Market Value for 2034US$ 37,470.04 million
    Value-based CAGR of the Market for 2024 to 203418.30%

    Category-wise Insights

    AttributesDetails
    SolutionSoftware
    Market Share (2024)73.70%
    AttributesDetails
    End UserLarge Enterprises
    Market Share (2024)64.70%

    Country-wise Insights

    CountriesCAGR (2024 to 2034)
    China20.40%
    The United States18.30%
    Australia and New Zealand14.40%
    Japan13.80%
    Germany12.60%
  3. New B2B marketing tactics to be used in the U.S. 2023

    • statista.com
    Updated Feb 15, 2024
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    Statista (2024). New B2B marketing tactics to be used in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1133006/new-b2b-marketing-tactics-channels-usage-plans/
    Explore at:
    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    Over 40 percent of business-to-business (B2B) marketers surveyed in the United States planned to explore artificial intelligence (AI) and automation in 2023. Video marketing and influencer marketing were also among the strategies to be experimented, mentioned by 32 and 30 percent of the respondents, respectively.

  4. d

    Bank Marketing

    • data.world
    • kaggle.com
    csv, zip
    Updated Mar 19, 2024
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    IBM Watson AI XPRIZE - AI (2024). Bank Marketing [Dataset]. https://data.world/xprizeai-ai/bank-marketing
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Mar 19, 2024
    Dataset provided by
    data.world, Inc.
    Authors
    IBM Watson AI XPRIZE - AI
    Description

    Source on data.world

    Source:

    [Moro et al., 2014] S. Moro, P. Cortez and P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems, Elsevier, 62:22-31, June 2014

    Data Set Information:

    The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed.

    There are four datasets:

    bank-additional-full.csv with all examples (41188) and 20 inputs, ordered by date (from May 2008 to November 2010), very close to the data analyzed in [Moro et al., 2014] bank-additional.csv with 10% of the examples (4119), randomly selected from 1), and 20 inputs. bank-full.csv with all examples and 17 inputs, ordered by date (older version of this dataset with less inputs). bank.csv with 10% of the examples and 17 inputs, randomly selected from 3 (older version of this dataset with less inputs). The smallest datasets are provided to test more computationally demanding machine learning algorithms (e.g., SVM). The classification goal is to predict if the client will subscribe (yes/no) a term deposit (variable y).

    Attribute Information:

    Input variables:

    bank client data:

    1 - age (numeric)
    2 - job : type of job (categorical: 'admin.','blue-collar','entrepreneur','housemaid','management','retired','self-employed','services','student','technician','unemployed','unknown')
    3 - marital : marital status (categorical: 'divorced','married','single','unknown'; note: 'divorced' means divorced or widowed)
    4 - education (categorical: 'basic.4y','basic.6y','basic.9y','high.school','illiterate','professional.course','university.degree','unknown')
    5 - default: has credit in default? (categorical: 'no','yes','unknown')
    6 - housing: has housing loan? (categorical: 'no','yes','unknown')
    7 - loan: has personal loan? (categorical: 'no','yes','unknown')

    related with the last contact of the current campaign:

    8 - contact: contact communication type (categorical: 'cellular','telephone')
    9 - month: last contact month of year (categorical: 'jan', 'feb', 'mar', ..., 'nov', 'dec')
    10 - day_of_week: last contact day of the week (categorical: 'mon','tue','wed','thu','fri')
    11 - duration: last contact duration, in seconds (numeric). Important note: this attribute highly affects the output target (e.g., if duration=0 then y='no'). Yet, the duration is not known before a call is performed. Also, after the end of the call y is obviously known. Thus, this input should only be included for benchmark purposes and should be discarded if the intention is to have a realistic predictive model.

    other attributes: 12 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact)

    13 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric; 999 means client was not previously contacted)
    14 - previous: number of contacts performed before this campaign and for this client (numeric)
    15 - poutcome: outcome of the previous marketing campaign (categorical: 'failure','nonexistent','success')

    social and economic context attributes

    16 - emp.var.rate: employment variation rate - quarterly indicator (numeric)
    17 - cons.price.idx: consumer price index - monthly indicator (numeric)
    18 - cons.conf.idx: consumer confidence index - monthly indicator (numeric)
    19 - euribor3m: euribor 3 month rate - daily indicator (numeric)
    20 - nr.employed: number of employees - quarterly indicator (numeric)

    Output variable (desired target): 21 - y - has the client subscribed a term deposit? (binary: 'yes','no')

    For more information about Relevant Papers and Papers That Cite This Data Set, please go here

    Citation Policy:

    If you publish material based on databases obtained from this repository, then, in your acknowledgements, please note the assistance you received by using this repository. This will help others to obtain the same data sets and replicate your experiments. We suggest the following pseudo-APA reference format for referring to this repository:

    Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

    Here is a BiBTeX citation as well:

    @misc{Lichman:2013 , author = "M. Lichman", year = "2013", title = "{UCI} Machine Learning Repository", url = "http://archive.ics.uci.edu/ml", institution = "University of California, Irvine, School of Information and Computer Sciences" }

    A few UCI data sets have additional citation requests. These requests can be found on the bottom of each data set's web page.

  5. d

    Marketing Continuum by Solution Publishing | 2M US B2B Professional Contact...

    • datarade.ai
    .csv, .xls
    Updated Jan 25, 2024
    + more versions
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    Solution Publishing (2024). Marketing Continuum by Solution Publishing | 2M US B2B Professional Contact Data Set | B2B Contact Data | Safe to Email [Dataset]. https://datarade.ai/data-products/marketing-continuum-by-solution-publishing-business-profess-solution-publishing
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Jan 25, 2024
    Dataset authored and provided by
    Solution Publishing
    Area covered
    United States of America
    Description

    Marketing Continuum: Redefining B2B Marketing and Advertising Outreach

    In the multifaceted and dynamic world of marketing and advertising, connecting with the right professionals is key to success. Marketing Continuum emerges as an essential digital audience data tool, uniquely developed to connect B2B marketers with over 2 million U.S. business contacts in marketing and advertising, spanning an impressive array of specialties and roles within approximately 500,000 U.S. companies.

    Unparalleled Reach Across Marketing Specialties

    Marketing Continuum offers a rich, in-depth database, encompassing professionals specializing in Market Research and Analysis, Brand Management, Product Marketing, Content Creation and Management, Social Media Marketing, Digital Marketing, Advertising, Public Relations, Event Marketing, SEO/SEM, CRM, Analytics and Data Science, Marketing Communications, Strategic Planning, Channel Marketing, Creative Design, Email Marketing, Influencer Marketing, Marketing Operations, and Partnership Marketing.

    Comprehensive Contact Information for Targeted Outreach Safe for you to Email - We Email Newsletters to the Data With Marketing Continuum, you have access to full contact information for 2 million business contacts in the U.S., ensuring your marketing campaigns reach the right individuals. This includes:

    Business Email Addresses: Directly reach key decision-makers and influencers in the marketing sector. Postal Addresses: Send tailored physical marketing materials for a tangible impact. Telemarketing Numbers: Engage in direct conversations with marketing professionals. Mobile Phone Numbers: Connect with contacts through the most immediate channels. Localized Targeting: Company & Personal Locations

    Our tool provides detailed information on both company and personal locations, allowing for highly localized and relevant marketing efforts. This feature is invaluable for targeting campaigns based on geographic specifics, ensuring maximum relevance and impact.

    B2B Technographics and Firmographic Elements

    Marketing Continuum goes beyond basic contact information by offering rich technographic and firmographic data. Understand the technology landscape and organizational structures of your target companies, enabling you to tailor your messaging and approach to align perfectly with their current needs and challenges.

    Versatile Marketing Channels for Diverse Campaigns

    Leverage our extensive data to execute campaigns across various channels:

    Email Marketing: Reach inboxes with precision and relevance. Direct Mail: Create memorable, physical impressions. Telemarketing: Build personal connections and direct engagement. Mobile Marketing: Utilize the immediacy of mobile communications. Digital Advertising: Target ads effectively in the digital realm. Conclusion: Your Comprehensive Tool for Marketing Industry Outreach

    Marketing Continuum is not just a data tool; it's a comprehensive solution for penetrating the marketing and advertising industry. With our extensive database, multichannel approach, and detailed firmographic and technographic insights, your business is perfectly equipped to reach, engage, and influence key players in the marketing field, driving impactful results for your B2B marketing initiatives.

    B2B Contact Data Working in Market Research and Analysis, Brand Management, Product Marketing, Content Creation and Management, Social Media Marketing, Digital Marketing, Advertising, Public Relations, Event Marketing, SEO/SEM, CRM, Analytics and Data Science, Marketing Communications, Strategic Planning, Channel Marketing, Creative Design, Email Marketing, Influencer Marketing, Marketing Operations, Partnership Marketing

  6. Marketing Agency, Las Vegas (NV)

    • dataandsons.com
    csv, zip
    Updated Dec 26, 2020
    + more versions
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    Monika Shrivastava (2020). Marketing Agency, Las Vegas (NV) [Dataset]. https://www.dataandsons.com/data-market/classroom-datasets/marketing-agency-las-vegas-nv
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Dec 26, 2020
    Dataset provided by
    Data & Sons
    Authors
    Monika Shrivastava
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2020 - Dec 25, 2020
    Area covered
    Las Vegas, Nevada
    Description

    About this Dataset

    A carefully curated list of “Marketing Agency" in Las Vegas (NV). We strive to keep our customers satisfied, so they no longer have to worry about finding quality leads. This is why we offer a 100% data guarantee. If there is any information missing or incorrect we will replace it for you. Contact us immediately. What you will find below: - Contact Name - Company - Email - Website - Contact no. & more

    Category

    Classroom Datasets

    Keywords

    Las Vegas Marketing Agency,Nevada Marketing Agency,Las Vegas Digital Marketing Agency,Nevada Digital Marketing Agency,US Marketing Agency

    Row Count

    279

    Price

    $149.00

  7. k

    Marketing-Budget-and-Actual-Sales-Dataset

    • kaggle.com
    Updated Jun 1, 2022
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    (2022). Marketing-Budget-and-Actual-Sales-Dataset [Dataset]. https://www.kaggle.com/datasets/jacouchs/marketing-budget-and-actual-sales-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 1, 2022
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Data of Marketing Budget and Sales from certain bussiness

  8. Change in data-driven marketing spending in the U.S. 2018-2019

    • statista.com
    Updated Jan 6, 2023
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    Statista (2023). Change in data-driven marketing spending in the U.S. 2018-2019 [Dataset]. https://www.statista.com/statistics/316158/change-data-driven-marketing-spending-usa/
    Explore at:
    Dataset updated
    Jan 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic provides information on the change in data driven marketing spending in 2018 and 2019. In 2018, 96.2 percent of respondents spent more on data-driven marketing than a year earlier, and 78.2 percent were planning to increase their spending in 2019.

  9. Content marketing technologies used worldwide 2022

    • statista.com
    • flelevationcertificate.com
    Updated Mar 20, 2024
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    Statista (2024). Content marketing technologies used worldwide 2022 [Dataset]. https://www.statista.com/statistics/1066546/content-marketing-demand-generation-tech-use/
    Explore at:
    Dataset updated
    Mar 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    During a survey conducted in 2022, 58 percent of responding marketing professionals said they used social media posting tools to leverage their content marketing efforts, while 30 percent said they utilized a content management system (CMS) for the same purpose.

  10. Bank Marketing Dataset

    • kaggle.com
    zip
    Updated Dec 20, 2022
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    Sneha Vijayakumar_28 (2022). Bank Marketing Dataset [Dataset]. https://www.kaggle.com/datasets/snehavijayakumar28/bank-marketing-dataset
    Explore at:
    zip(400245 bytes)Available download formats
    Dataset updated
    Dec 20, 2022
    Authors
    Sneha Vijayakumar_28
    Description

    Dataset

    This dataset was created by Sneha Vijayakumar_28

    Contents

  11. US Marketing & Advertising Leads: Size 1-10 | Business Details, Location,...

    • dataandsons.com
    csv, zip
    Updated Aug 20, 2023
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    Dennis Pogrebchtchikov (2023). US Marketing & Advertising Leads: Size 1-10 | Business Details, Location, LinkedIn, Phone [Dataset]. https://www.dataandsons.com/categories/business-information-and-financials/us-marketing-and-advertising-leads-size-1-10-business-details-location-linkedin-phone
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Aug 20, 2023
    Dataset provided by
    Data & Sons
    Authors
    Dennis Pogrebchtchikov
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    About this Dataset

    Discover the power of our meticulously curated .csv B2B leads list, a goldmine of information spotlighting enterprises thriving in the dynamic realm of Marketing and Advertising across the United States. Crafted with precision, this dataset is meticulously organized by company size, encompassing a spectrum from 1 to 10, orchestrating the perfect stage for precision-targeted outreach tactics. At every entry, a symphony of indispensable contact and professional particulars unfolds, rendering this treasure trove an indispensable asset for orchestrating impactful marketing campaigns, fostering astute business development, and navigating the intricate tapestry of networking endeavors. Key Insights:

    Industry: Marketing and Advertising Geographical Scope: United States Company Magnitude: Spanning a spectrum from 1 to 10 Data Dimensions: Company Name, Website Domain, Location, LinkedIn Profile, Phone Numbers

    Illuminating Features:

    Segmented Brilliance: Seamlessly discern companies through size for laser-focused marketing pursuits. Holistic Disclosures: Gain access to pivotal company intricacies – names, domains, and the crux of contact particulars. Strategic Revelations: Amplify your influence with LinkedIn profiles, forging profound connections within the industry's inner sanctum. Engagement Amplification: Capitalize on direct communication channels through provided phone numbers, etching lasting impressions. B2B Dedication: Tailored for B2B ventures, encompassing everything from pioneering partnerships to strategic sales prospecting. Analytical Prowess: Perfectly primed for dissecting market trends, conducting perceptive trend analyses, and deciphering the competition's pulse. Instant Gratification: Unleash instant insights, eliminating the toil of manual data curation. Voluminous Horizons: Over 535,000 entries: a symphony of growth avenues, ensuring prosperity.

    This .csv leads list becomes the catalyst, propelling businesses toward pinnacles of success as it imparts precise and comprehensive company intelligence within the sprawling canvas of the United States' Marketing and Advertising panorama.

    Category

    Business Information & Financials

    Keywords

    Marketing and Advertising leads,B2B leads,Business leads,US companies,Company size 1-10

    Row Count

    57625

    Price

    $2400.00

  12. Content Marketing

    • paper.erudition.co.in
    html
    Updated Jun 29, 2021
    + more versions
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    Einetic (2021). Content Marketing [Dataset]. https://paper.erudition.co.in/makaut/bachelor-of-computer-applications/6/digital-marketing
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 29, 2021
    Dataset authored and provided by
    Einetic
    License

    https://paper.erudition.co.in/termshttps://paper.erudition.co.in/terms

    Description

    Question Paper Solutions of chapter Content Marketing of Digital Marketing, 6th Semester , Bachelor of Computer Applications

  13. Marketing Automation Software Market By Component (Software, Services),...

    • verifiedmarketresearch.com
    Updated Apr 8, 2024
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    VERIFIED MARKET RESEARCH (2024). Marketing Automation Software Market By Component (Software, Services), Deployment Mode (Cloud-Based, On-Premises), Organization Size (Small And Medium-sized Enterprises (SMEs), Large Enterprises), Application (Campaign Management, Email Marketing, Analytics And Reporting), Vertical (Banking, Financial Services, And Insurance (BFSI), SMEs), And Region for 2024-2031 [Dataset]. https://www.verifiedmarketresearch.com/product/marketing-automation-software-market/
    Explore at:
    Dataset updated
    Apr 8, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Marketing Automation Software Market size was valued at USD 5.81 Billion in 2023 and is projected to reach USD 14.42 Billion by 2031, growing at a CAGR of 12% from 2024 to 2031.

    Marketing Automation Software Market: Definition/ Overview

    Marketing automation acts as a strategic approach that uses the software to streamline repetitive marketing tasks and orchestrate multi-channel campaigns. Marketing automation software is used for digital marketing, combined with solid strategies, it emphasizes the concept of the Return on Investment (ROI) and achieves increased revenue.

    Marketing automation software provides channel support through email, social media SMS, and landing pages, it also offers campaign creation and management, personalized engine, trigger-based actions, website, and app usage tracking, lead scoring and tracking, tracking and analytics, automatic segmentation, integration across channels, etc. The marketing automation software is an all-inclusive system that generates hyper-targeted marketing, maintains consumer interactions across channels, and expedites workflow. Consequently, marketers are witnessing a notable increase in productivity, enhanced customer understanding, and significantly boosted ROI.

    Integration with artificial intelligence (AI) and machine learning (ML) marketing automation is expected to become more sophisticated. The features like predictive analytics for lead generating, automated content creation based on customer profiles, and real-time campaign optimization. Every industry and every organization is seamlessly striving for the customer experiences, which will increase the demand for robust customer marketing automation software, Marketing automation provides a potent remedy, which is increasing the consumer demand for customization. The software has the ability to leverage customer data for targeted campaign positions.

  14. S

    Digital Marketing Cosmetics Industry

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Apr 1, 2024
    + more versions
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    IndexBox Inc. (2024). Digital Marketing Cosmetics Industry [Dataset]. https://www.indexbox.io/search/digital-marketing-cosmetics-industry/
    Explore at:
    xlsx, doc, pdf, xls, docxAvailable download formats
    Dataset updated
    Apr 1, 2024
    Dataset authored and provided by
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Apr 21, 2024
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Discover the advantages of digital marketing for the cosmetics industry. Learn how it helps to target specific audiences, create engaging content, optimize websites for search engines, and measure the success of marketing campaigns.

  15. m

    Data from: Predicting Tie Strength with Ego Network Structures

    • data.mendeley.com
    • narcis.nl
    Updated Oct 15, 2020
    + more versions
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    Simon Stolz (2020). Predicting Tie Strength with Ego Network Structures [Dataset]. http://doi.org/10.17632/hr9tjzj72v.2
    Explore at:
    Dataset updated
    Oct 15, 2020
    Authors
    Simon Stolz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This repository contains 41 anonymized Facebook ego networks used in Stolz and Schlereth "Predicting Tie Strength with Ego Network Structures" in Journal of Interactive Marketing (forthcoming). The Facebook ego network data was extracted in combination with a survey. The survey asked users about who they perceived as their closest friends, and who they had recently interacted with on the platform. Furthermore, the data contains a binary matching based on Facebook attributes of ego and alter to assess the similarity of users. These dyad-level binary attributes are stored as csv file. All 41 ego networks are stored as graphml files, named by the identifier of the user (i.e., ego) they belong to. Additionally, the first author's "seed" network is saved separately (without attributes), intended for replication of the sampled perspective. For anonymization, all Facebook identifiers were replaced by independent numeric identifiers.

  16. f

    Data from: Users, information consumers, and information service agencies...

    • scielo.figshare.com
    png
    Updated May 30, 2023
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    Sueli Angélica do AMARAL (2023). Users, information consumers, and information service agencies from the marketing perspective [Dataset]. http://doi.org/10.6084/m9.figshare.5885575.v1
    Explore at:
    pngAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Sueli Angélica do AMARAL
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract Marketing perspective in the provision of information services involves information providers, information users, and the context of the information environment. It values the business approach to information service provision for society development and increases the visibility of the breadth and comprehensiveness of Information Science application and usage. The objective of this article is to address concepts related to the marketing perspective in the management of these services with emphasis on the information business and market. The theoretical discussion was based on a literature review on the management of information services from the marketing perspective in the context of information science focusing on the studies carried out by Information Marketing Research Group members and on national and international research on this topic, including classic marketing studies. The present study discusses the actions arising from this perspective of management in information service agencies. It was concluded that the theoretical discussion of the concepts related to the marketing perspective contributed to broaden the understanding of users as information consumers, as well as the theoretical principles of marketing that are related to this approach to the management of information service provision.

  17. Digital Marketing Trends in Hepatocellular Carcinoma

    • globaldata.com
    Updated Sep 23, 2022
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    GlobalData UK Ltd. (2022). Digital Marketing Trends in Hepatocellular Carcinoma [Dataset]. https://www.globaldata.com/store/report/hepatocellular-carcinoma-digital-marketing-trends-and-analysis/
    Explore at:
    Dataset updated
    Sep 23, 2022
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2022 - 2026
    Area covered
    Global
    Description

    Merck & Co.’s Keytruda com achieved the highest traffic across US hepatocellular carcinoma (HCC) patient sites, with 2.1 million visits from August 2021 to July 2022. This was followed by Bristol Myers Squibb’s (BMS) Opdivo.com (1.2 million visits) and G Read More

  18. Content Marketing Market by Objective, Platform, End-user, and Geography -...

    • technavio.com
    Updated May 15, 2021
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    Technavio (2021). Content Marketing Market by Objective, Platform, End-user, and Geography - Forecast and Analysis 2021-2025 [Dataset]. https://www.technavio.com/report/content-marketing-market-industry-analysis
    Explore at:
    Dataset updated
    May 15, 2021
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img { margin: 10px !important; } The content marketing market share is expected to increase by USD 417.85 billion from 2021 to 2025, and the market’s growth momentum will accelerate at a CAGR of 16%.

    This content marketing market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers market segmentation by end-user (retail, automotive, financial services, telecom, and others), platform (blogging, videos, infographics, case studies, and others), objective (lead generation, brand awareness, thought leadership, and others), and geography (APAC, North America, Europe, South America, and MEA). The content marketing market report also offers information on several market vendors, including Adobe Inc., Contently, Inc., CoSchedule LLC, HubSpot Inc., Influence and Co., NewsCred, Inc., Scripted Inc., Seismic Software, Inc., Sprinklr Inc., and Upland Software, Inc. among others.

    What will the Content Marketing Market Size be in 2021?

    Download the Free Report Sample to Unlock the Content Marketing Market Size for 2021 and Other Important Statistics

    Content Marketing Market: Key Drivers and Trends

    Based on our research output, there has been a negative impact on the market growth during and post COVID-19 era. The rise in the number of users on social media is notably driving the content marketing market growth, although factors such as fraud related to digital advertisements may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the content marketing industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

    Content Marketing Market Key Driver

    One of the key factors driving growth in the content marketing market is the rise in the number of users on social media. Social media is becoming an essential part of the Internet, and it is accessed by more than a billion people worldwide. In addition, the increase in the use of mobile devices and smartphones has driven the use of social media among users. The growing use of social media among consumers is encouraging enterprises to use this platform to approach their target audience. As the number of users is continuously increasing, enterprises are using social media platforms for content marketing, which helps them to manage their large target audience more effectively. Thus, with the increase in the use of social media among consumers, the demand for content marketing is also expected to increase during the forecast period.

    Content Marketing Market Key Trend

    The use of AI with social media management software is another major factor supporting the content marketing market. The digital transformation of businesses is an effort aimed at creating connected platforms and industry revenue streams. Consequently, several industries are opting for real-time solutions besides spending on IT infrastructure and analytical solutions to gain a competitive advantage in the market. Modern businesses are marked by an increase in the need for advanced business intelligence (BI). Artificial intelligence (AI) has enabled content marketing with significant technological advances. AI provides a centralized view of all business activities and associated information. Content automation is expected to drastically reduce the cost of content production.

    Content Marketing Market Key Challenge

    The fraud related to digital advertisements will be a major challenge for the content marketing market. Content advertisements through digital platforms are commonly considered as a form of advertisement that is done through the Internet to market products or services to consumers. With time, the term digital advertisements have expanded its dimensions. Furthermore, due to an increase in fraud-related digital advertisements, it is now treated as one of the major concerns for industry players. Fraud related to digital advertisements includes actions such as launching advertisements outside of a user’s view and creating fake advertisement traffic by using content scraping websites. The lack of maturity in the digital advertisement space helped in creating a favorable environment for digital advertisement fraud. Hence, fraud related to digital advertisements will impact the revenue generated by enterprises, thus impacting the market growth.

    This content marketing market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.

    Parent Market Dynamics

    Tec

  19. T

    AI Marketing Tool Market Analysis by Cloud and On-Premises Deployment from...

    • futuremarketinsights.com
    csv, pdf
    Updated Apr 1, 2024
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    Future Market Insights (2024). AI Marketing Tool Market Analysis by Cloud and On-Premises Deployment from 2024 to 2034 [Dataset]. https://www.futuremarketinsights.com/reports/ai-marketing-tool-market
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    Apr 1, 2024
    Dataset authored and provided by
    Future Market Insights
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2024 - 2034
    Area covered
    Worldwide
    Description

    The AI marketing tool market under FMI published a new report stating the current valuation of the market is US$ 4.9 billion in 2024. Over the time span of ten years, the market spiked to a valuation of US$ 16.23 billion by 2034. The new report suggests a CAGR of 12.60% from 2024 to 2034, showing consistent market growth.

    AttributesDetails
    AI Marketing Tool Market Value for 2024US$ 4.9 billion
    AI Marketing Tool Market Value for 2034US$ 16.23 billion
    AI Marketing Tool Market Forecast CAGR for 2024 to 203412.6%

    Historical Performance and Future Growth of the AI Marketing Tool Market

    Historical CAGR11.8%
    Forecast CAGR12.6%

    Category-wise Insights

    CategoryMarket Share in 2024
    CRM Software28.8%
    Cloud-based60.3%

    Country-wise Insights

    CountriesCAGR through 2034
    United States9.5%
    Germany4.1%
    Japan5.4%
    China13.1%
    Australia and New Zealand16.1%
  20. w

    Data from: Relationship marketing-Management

    • workwithdata.com
    Updated Apr 21, 2024
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    Work With Data (2024). Relationship marketing-Management [Dataset]. https://www.workwithdata.com/topic/relationship-marketing-management
    Explore at:
    Dataset updated
    Apr 21, 2024
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Explore Relationship marketing-Management through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets

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(2021). Marketing-Campaign-Analysis-Data [Dataset]. https://www.kaggle.com/datasets/khanimar/marketing-campaign-analysis-data

Marketing-Campaign-Analysis-Data

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jul 18, 2021
Description

Analyzing a marketing campaign and predicting its success probability

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