22 datasets found
  1. Bounce rate of global online shopping 2023, by product category

    • statista.com
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    Statista, Bounce rate of global online shopping 2023, by product category [Dataset]. https://www.statista.com/statistics/1423813/online-shopping-bounce-rate-by-industry/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of September 2023, the health and beauty industry recorded the highest bounce rate compared to other e-commerce sectors. That month, health and beauty sites had a bounce rate of around **** percent. The overall bounce rate for e-commerce was approximately **** percent. The term "bounce rate" refers to the percentage of website visitors who leave the site after viewing a single page.

  2. o

    Average Email Open, Click-Through, and Bounce Rates by Industry

    • offeringtree.com
    Updated Aug 6, 2025
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    (2025). Average Email Open, Click-Through, and Bounce Rates by Industry [Dataset]. https://www.offeringtree.com/blog/what-is-a-good-open-rate-for-email/
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    Dataset updated
    Aug 6, 2025
    Description

    Industry Avg Open Rate Avg CTR Avg Bounce Rate

    Media and Publishing 34.22% 4.36% 0.09%

    Online Communities 37.14% 3.33% 0.14%

    Professional Services 32.74% 3.04% 0.39%

    Education 35.64% 3.016% 0.22%

    Consulting 29.61% 2.91% 0.37%

    Health and Fitness 37.06% 1.86% 0.17%

    Retail 35.05% 2.07% 0.13%

    E-Commerce 29.81% 1.73% 0.11%

    Vitamin Supplements 27.34% 1.19% 0.14%

    Beauty and Personal Care 31.89% 1.3% 0.14%

    Artists 42.16% 2.79% 0.19%

    Entertainment and Events 37.29% 2.31% 0.18%

    The data in the following table is from a 2023 MailChimp Study

  3. Monthly bounce rate of global online health and beauty shopping 2024

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Monthly bounce rate of global online health and beauty shopping 2024 [Dataset]. https://www.statista.com/statistics/1424885/online-shopping-bounce-rate-health-beauty/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024 - Sep 2024
    Area covered
    Worldwide
    Description

    Bounce rate is defined as the percentage of online visitors who abandon a website after viewing one page. During the surveyed period, the global health and beauty e-commerce industry recorded its highest bounce rate in February 2024 at around **** percent.

  4. Bounce rate of leading consumer electronics sites worldwide 2024

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Bounce rate of leading consumer electronics sites worldwide 2024 [Dataset]. https://www.statista.com/statistics/1325859/consumer-electronics-websites-bounce-rate-worldwide/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2024
    Area covered
    Worldwide
    Description

    Among selected consumer electronics retailers worldwide, apple.com recorded the highest bounce rate in April 2024, at approximately **** percent. Rival samsung.com had a slightly lower bounce rate of nearly ** percent. Among selected consumer electronics e-tailers, huawei.com had the lowest bounce rate at ***** percent. Bounce rate is a marketing term used in web traffic analysis reflecting the percentage of visitors who enter the site and then leave without taking any further action like making a purchase or viewing other pages within the website ("bounce"). A sector with growth potential With one of the lowest online shopping cart abandonment rates globally in 2022, consumer electronics is a burgeoning e-commerce segment that places itself at the crossroads between technological progress and digital transformation. Boosted by the pandemic-induced surge in online shopping, the global market size of consumer electronics e-commerce was estimated at more than *** billion U.S. dollars in 2021 and forecast to nearly double less than five years later. Amazon and Apple lead the charts in electronics e-commerce With more than ** billion U.S. dollars in e-commerce net sales in the consumer electronics segment in 2022, apple.com was the uncontested industry leader. The global powerhouse surpassed e-commerce giants amazon.com and jd.com with more than *** billion U.S. dollars difference in online sales in the consumer electronics category.

  5. Landing page conversion by industry

    • getresponse.com
    Updated Mar 14, 2016
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    GetResponse (2016). Landing page conversion by industry [Dataset]. https://www.getresponse.com/resources/reports/email-marketing-benchmarks
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    Dataset updated
    Mar 14, 2016
    Dataset authored and provided by
    GetResponse
    License

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

    Description

    In this table, you’ll see the average landing page conversions based on the subscription rate they generated across industries.

  6. Use of video

    • getresponse.com
    Updated Mar 14, 2016
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    GetResponse (2016). Use of video [Dataset]. https://www.getresponse.com/resources/reports/email-marketing-benchmarks
    Explore at:
    Dataset updated
    Mar 14, 2016
    Dataset authored and provided by
    GetResponse
    License

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

    Description

    In this table, we’re looking at whether adding video content (including links to your video hosting platforms) could help you boost your engagement metrics, primarily the average click-th rough and click-to-open rates.

  7. Industry vertical of organization for 86 websites in study.

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Industry vertical of organization for 86 websites in study. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Industry vertical of organization for 86 websites in study.

  8. Average results by industry

    • getresponse.com
    Updated Mar 14, 2016
    + more versions
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    GetResponse (2016). Average results by industry [Dataset]. https://www.getresponse.com/resources/reports/email-marketing-benchmarks
    Explore at:
    Dataset updated
    Mar 14, 2016
    Dataset authored and provided by
    GetResponse
    License

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

    Description

    Here, we’ve gathered email marketing benchmarks by industry. You can see how your average email open, click-through, click-to-open, unsubscribe, and spam complaint rates compare against other companies in your industry.

  9. T

    What Is a Good Open Rate for Email? 4 Strategies for Success

    • offeringtree.com
    Updated Aug 6, 2025
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    (2025). What Is a Good Open Rate for Email? 4 Strategies for Success [Dataset]. https://www.offeringtree.com/blog/what-is-a-good-open-rate-for-email/
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    Dataset updated
    Aug 6, 2025
    Description

    Average email open rates, click-through rates, and bounce rates broken down by industry. The data is from a study done by MailChimp.

  10. f

    Website type for the 86 websites in study.

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 13, 2023
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    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Website type for the 86 websites in study. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Website type for the 86 websites in study.

  11. f

    Summary of results comparing Google Analytics and SimilarWeb for total...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 13, 2023
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    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Summary of results comparing Google Analytics and SimilarWeb for total visits, unique visitors, bounce rate, and average session duration. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Difference uses Google Analytics as the Baseline. Results based on Paired t-Test for Hypotheses Supported.

  12. Host country of organization for 86 websites in study.

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Host country of organization for 86 websites in study. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Host country of organization for 86 websites in study.

  13. Use of double opt-in by industry

    • getresponse.com
    Updated Mar 14, 2016
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    GetResponse (2016). Use of double opt-in by industry [Dataset]. https://www.getresponse.com/resources/reports/email-marketing-benchmarks
    Explore at:
    Dataset updated
    Mar 14, 2016
    Dataset authored and provided by
    GetResponse
    License

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

    Description

    Below you’ll find out how popular the use of confirmed opt-in is in different industries.

  14. Other

    • getresponse.com
    Updated Mar 14, 2016
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    GetResponse (2016). Other [Dataset]. https://www.getresponse.com/resources/reports/email-marketing-benchmarks
    Explore at:
    Dataset updated
    Mar 14, 2016
    Dataset authored and provided by
    GetResponse
    License

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

    Description

    Here, we’re looking at other elements that may play a role in how you run your email marketing campaigns and the average metrics you could expect.

  15. f

    Comparison of user, site, and network-centric approaches to web analytics...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Comparison of user, site, and network-centric approaches to web analytics data collection showing advantages, disadvantages, and examples of each approach at the time of the study. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Comparison of user, site, and network-centric approaches to web analytics data collection showing advantages, disadvantages, and examples of each approach at the time of the study.

  16. Data from: Analysis of the Quantitative Impact of Social Networks General...

    • figshare.com
    • produccioncientifica.ucm.es
    doc
    Updated Oct 14, 2022
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    David Parra; Santiago Martínez Arias; Sergio Mena Muñoz (2022). Analysis of the Quantitative Impact of Social Networks General Data.doc [Dataset]. http://doi.org/10.6084/m9.figshare.21329421.v1
    Explore at:
    docAvailable download formats
    Dataset updated
    Oct 14, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    David Parra; Santiago Martínez Arias; Sergio Mena Muñoz
    License

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

    Description

    General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union". Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content? To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic. In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed.
    Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained. To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market. It includes:

    Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures

  17. Average results by country

    • getresponse.com
    Updated Mar 14, 2016
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    GetResponse (2016). Average results by country [Dataset]. https://www.getresponse.com/resources/reports/email-marketing-benchmarks
    Explore at:
    Dataset updated
    Mar 14, 2016
    Dataset authored and provided by
    GetResponse
    License

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

    Description

    What are the average email marketing results in different countries? Here’s what we’ve found.

  18. Number of autoresponders in a cycle

    • getresponse.com
    Updated Mar 14, 2016
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    GetResponse (2016). Number of autoresponders in a cycle [Dataset]. https://www.getresponse.com/resources/reports/email-marketing-benchmarks
    Explore at:
    Dataset updated
    Mar 14, 2016
    Dataset authored and provided by
    GetResponse
    License

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

    Description

    How many emails should you put into your autoresponder cycle? We’ve analyzed how the average engagement metrics change depending on the number of emails our customers used in their autoresp onder cycles.

  19. Number of newsletters per week

    • getresponse.com
    Updated Mar 14, 2016
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    GetResponse (2016). Number of newsletters per week [Dataset]. https://www.getresponse.com/resources/reports/email-marketing-benchmarks
    Explore at:
    Dataset updated
    Mar 14, 2016
    Dataset authored and provided by
    GetResponse
    License

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

    Description

    What’s the right email frequency? What’s the potential increase in the number of conversions your email campaigns generate if you add an extra message to your schedule? The data in this table should help you find the right answers.

  20. D

    Search And Product Discovery Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Search and Product Discovery Market Outlook



    According to our latest research, the global Search and Product Discovery market size stood at USD 9.2 billion in 2024. The market is poised for robust expansion, projected to reach USD 28.6 billion by 2033, reflecting an impressive CAGR of 13.4% during the forecast period. The surge in demand for personalized shopping experiences, coupled with the proliferation of digital commerce platforms, is driving this market’s dynamic growth trajectory.




    A primary growth factor fueling the Search and Product Discovery market is the rapid digital transformation across industries, especially in retail and e-commerce. As consumers increasingly turn to online platforms for shopping, businesses are compelled to invest in advanced search technologies and product discovery solutions that enhance user engagement and streamline the customer journey. The integration of artificial intelligence and machine learning algorithms into these solutions allows for personalized recommendations, contextual search, and predictive analytics, which significantly improve conversion rates and customer satisfaction. Furthermore, the rise of voice and visual search functionalities is revolutionizing how users interact with digital storefronts, making the process more intuitive and efficient.




    Another significant driver is the intensifying competition among brands and retailers, necessitating differentiation through superior product discovery experiences. Companies are leveraging sophisticated search engines and recommendation systems to ensure their products are easily discoverable, reducing bounce rates and increasing average order values. The integration of omnichannel strategies, where online and offline experiences are seamlessly connected, further amplifies the need for robust search and discovery platforms. Additionally, the adoption of cloud-based solutions has democratized access to advanced technologies, enabling even small and medium enterprises to deploy scalable and cost-effective product discovery tools.




    The evolution of consumer expectations is also shaping the Search and Product Discovery market. Today’s digital-savvy shoppers demand instant, relevant, and personalized results, prompting businesses to continuously upgrade their search capabilities. The use of natural language processing, semantic search, and real-time analytics ensures that users receive accurate results, even from complex or ambiguous queries. Moreover, the integration of localization features and multilingual support is expanding the reach of these solutions, allowing global brands to cater to diverse customer bases. The growing emphasis on data-driven decision-making is further propelling investments in analytics-driven product discovery platforms.




    Regionally, North America continues to dominate the Search and Product Discovery market, driven by a mature e-commerce ecosystem and early adoption of advanced technologies. However, Asia Pacific is emerging as a high-growth region, fueled by rapid digitalization, a burgeoning middle class, and increasing smartphone penetration. Europe also holds a significant market share, supported by a strong retail sector and stringent data privacy regulations that drive innovation in privacy-centric search solutions. Meanwhile, Latin America and the Middle East & Africa are witnessing steady adoption, albeit from a lower base, as businesses in these regions accelerate their digital transformation journeys.



    Component Analysis



    The Search and Product Discovery market is segmented by component into Software and Services, each playing a pivotal role in shaping the industry’s landscape. The software segment encompasses a wide array of solutions, including AI-powered search engines, recommendation platforms, and analytics dashboards. These tools are essential for businesses seeking to optimize user experience, drive sales, and gain actionable insights from customer behavior. The software component is characterized by continuous innovation, with vendors frequently rolling out updates that enhance functionality, security, and integration capabilities. The proliferation of APIs and plug-and-play modules has made it easier for organizations to customize and scale their search solutions according to evolving needs.




    On the other hand, the services segment includes consulting, implementation, training, and

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Statista, Bounce rate of global online shopping 2023, by product category [Dataset]. https://www.statista.com/statistics/1423813/online-shopping-bounce-rate-by-industry/
Organization logo

Bounce rate of global online shopping 2023, by product category

Explore at:
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

As of September 2023, the health and beauty industry recorded the highest bounce rate compared to other e-commerce sectors. That month, health and beauty sites had a bounce rate of around **** percent. The overall bounce rate for e-commerce was approximately **** percent. The term "bounce rate" refers to the percentage of website visitors who leave the site after viewing a single page.

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