22 datasets found
  1. DataForSEO Backlink Summary Database

    • datarade.ai
    .json, .csv
    Updated Aug 17, 2023
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    DataForSEO (2023). DataForSEO Backlink Summary Database [Dataset]. https://datarade.ai/data-products/dataforseo-backlink-summary-database-dataforseo
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Aug 17, 2023
    Dataset provided by
    Authors
    DataForSEO
    Area covered
    Equatorial Guinea, Tonga, Ukraine, Mexico, Canada, Nicaragua, Vanuatu, Sri Lanka, Yemen, Solomon Islands
    Description

    The fields description may be found here: https://docs.dataforseo.com/v3/databases/backlink_summary/?bash

    DataForSEO Backlink Summary Database encompasses millions of domains enriched with backlink data and other related metrics. You will get a comprehensive overview of a domain’s backlink profile, including the number of inbound links, referring domains and referring pages, new & lost backlinks and referring domains, domain rank, backlink spam score, and more.

    This database is available in both JSON and CSV formats.

  2. 1000 Backlinks to vimeo.com (05-Dec-2014) -- varocarbas.com

    • zenodo.org
    csv
    Updated Jan 24, 2020
    + more versions
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    Alvaro Carballo Garcia; Alvaro Carballo Garcia (2020). 1000 Backlinks to vimeo.com (05-Dec-2014) -- varocarbas.com [Dataset]. http://doi.org/10.5281/zenodo.13140
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Alvaro Carballo Garcia; Alvaro Carballo Garcia
    License

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

    Description

    High quality backlinks to vimeo.com. The retrieval process was completed on 05-Dec-2014.

    Note that the bots in varocarbas.com (Project 1 - Stage 2) are collecting a maximum of 1000 high-quality backlinks (e.g., "site.com/backlink" rather than "site.com/this/that/backlink") for each domain.

  3. f

    Data from: Search Engine Manipulation to Spread Pro-Kremlin Propaganda

    • figshare.com
    txt
    Updated Jan 20, 2023
    + more versions
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    Evan Williams (2023). Search Engine Manipulation to Spread Pro-Kremlin Propaganda [Dataset]. http://doi.org/10.6084/m9.figshare.21936030.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jan 20, 2023
    Dataset provided by
    figshare
    Authors
    Evan Williams
    License

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

    Description

    README These datasets and R script are to generate the visualizations used in "Search Engine Manipulation: SEO to Spread Kremlin-Aligned Disinformation"

    DATA

    Data were collected from the Ahrefs (ahrefs.com) dashboard on Feb 21, 2022. Any re-use of this data must cite Ahrefs as the source. We provide two data files:
    1) ora_backlinks.csv (referring domain network extracted from Ahrefs) 2) ora_keyphrases.csv (keyword network extracted from Ahrefs) ora_rd.csv contains:

    'source' : (think tank domain)
    'target' : (backlinking domain)
    'weight' : (total # of backlinks)
    'network' : (ru_tt_rd = Russia, us_tt_rd = US, ds_rd = Pseudo)

    ora_keyphrases.csv contains:

    source: think tank domain target: top key phrases position: Google's ranking for that domain for that term volume: ahrefs estimated organic daily traffic group: Think tank group

    R Script This script generates visuals of top backlinkers and backlink recipients in the think tank network. It also constructs and visualizes the minimum overlap network for referring domains present in the paper. This code was created using R version 4.1.1 (2021-08-10) -- "Kick Things". To run this code, you'll first need to install the libraries at the beginning of the script. Once that is done, open the script and modify the path to the input file (ora_rd.csv): rd_data_el and modify the path to the output file: output_dir. The script can then be run line-by-line in Rstudio or by typing Rscript SEM_visuals.R in the terminal after setting paths.

    Citation How to cite (will be updated upon acceptance):

     Williams, E. M. & Carley, M. C., (2023). Search Engine Manipulation to Spread Pro-Kremlin Propaganda. Harvard Kennedy School (HKS) Misinformation Review, Volume #(Issue #). Received: Month Xth, 2022. Accepted: Month Xth, 20XX. Published: Month Xth, 2022.
     ```
    
  4. L

    Link Building Tool Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 16, 2025
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    Data Insights Market (2025). Link Building Tool Report [Dataset]. https://www.datainsightsmarket.com/reports/link-building-tool-1463825
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The link building tools market is experiencing robust growth, driven by the increasing importance of search engine optimization (SEO) for businesses of all sizes. The market's value, estimated at $2 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the rising adoption of digital marketing strategies, particularly among Small and Medium-sized Enterprises (SMEs), is creating significant demand for efficient and effective link building solutions. Secondly, the evolving landscape of search engine algorithms necessitates sophisticated tools capable of identifying high-quality backlinks and monitoring link profiles. Thirdly, the increasing availability of cloud-based link building tools offers greater accessibility and scalability, catering to diverse business needs and budgets. The market is segmented by application (SMEs and Large Enterprises) and type (cloud-based and on-premises), with cloud-based solutions currently dominating due to their flexibility and cost-effectiveness. While the North American market currently holds the largest share, regions like Asia-Pacific are showing rapid growth, fueled by expanding digital economies and increasing internet penetration. The competitive landscape is characterized by a mix of established players and emerging startups. Companies like Semrush, Ahrefs, and Moz hold significant market share, leveraging their comprehensive toolsets and brand recognition. However, specialized tools like BuzzStream and Linkody cater to specific needs and are gaining traction. The market faces some challenges, including the ongoing evolution of SEO best practices and the risk of penalties for manipulative link building techniques. Despite these restraints, the long-term outlook for the link building tools market remains positive, driven by continuous advancements in SEO technology and the sustained importance of organic search traffic for businesses. The increasing complexity of SEO and the growing need for data-driven strategies will further fuel the demand for sophisticated link building tools in the coming years.

  5. I

    Global Backlink Checker Tool Market Research and Development Focus 2025-2032...

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Backlink Checker Tool Market Research and Development Focus 2025-2032 [Dataset]. https://www.statsndata.org/report/backlink-checker-tool-market-96938
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Jun 2025
    Authors
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Backlink Checker Tool market has emerged as a crucial component of the digital marketing landscape, essential for businesses aiming to enhance their online presence and improve search engine rankings. These tools enable users to analyze their backlink profiles, uncovering valuable insights into the quality and q

  6. Z

    1000 Backlinks to baidu.com (16-Dec-2014) -- varocarbas.com

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jan 24, 2020
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    Carballo Garcia, Alvaro (2020). 1000 Backlinks to baidu.com (16-Dec-2014) -- varocarbas.com [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_13334
    Explore at:
    Dataset updated
    Jan 24, 2020
    Dataset authored and provided by
    Carballo Garcia, Alvaro
    License

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

    Description

    High quality backlinks to baidu.com. The retrieval process was completed on 16-Dec-2014.

    Note that the bots in varocarbas.com (Project 1 - Stage 2) are collecting a maximum of 1000 high-quality backlinks (e.g., "site.com/backlink" rather than "site.com/this/that/backlink") for each domain.

  7. Z

    1000 Backlinks to linkedin.com (26-Nov-2014) -- varocarbas.com

    • data.niaid.nih.gov
    Updated Jan 24, 2020
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    Carballo Garcia, Alvaro (2020). 1000 Backlinks to linkedin.com (26-Nov-2014) -- varocarbas.com [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_12991
    Explore at:
    Dataset updated
    Jan 24, 2020
    Dataset authored and provided by
    Carballo Garcia, Alvaro
    License

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

    Description

    High quality backlinks to linkedin.com. The retrieval process was completed on 26-Nov-2014.

    Note that the bots in varocarbas.com (Project 1 - Stage 2) are collecting a maximum of 1000 high-quality backlinks (e.g., "site.com/backlink" rather than "site.com/this/that/backlink") for each domain.

  8. f

    Namesakes

    • figshare.com
    json
    Updated Nov 20, 2021
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    Oleg Vasilyev; Aysu Altun; Nidhi Vyas; Vedant Dharnidharka; Erika Lampert; John Bohannon (2021). Namesakes [Dataset]. http://doi.org/10.6084/m9.figshare.17009105.v1
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 20, 2021
    Dataset provided by
    figshare
    Authors
    Oleg Vasilyev; Aysu Altun; Nidhi Vyas; Vedant Dharnidharka; Erika Lampert; John Bohannon
    License

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

    Description

    Abstract

    Motivation: creating challenging dataset for testing Named-Entity
    

    Linking. The Namesakes dataset consists of three closely related datasets: Entities, News and Backlinks. Entities were collected as Wikipedia text chunks corresponding to highly ambiguous entity names. The News were collected as random news text chunks, containing mentions that either belong to the Entities dataset or can be easily confused with them. Backlinks were obtained from Wikipedia dump data with intention to have mentions linked to the entities of the Entity dataset. The Entities and News are human-labeled, resolving the mentions of the entities.Methods

    Entities were collected as Wikipedia 
    

    text chunks corresponding to highly ambiguous entity names: the most popular people names, the most popular locations, and organizations with name ambiguity. In each Entities text chunk, the named entities with the name similar to the chunk Wikipedia page name are labeled. For labeling, these entities were suggested to human annotators (odetta.ai) to tag as "Same" (same as the page entity) or "Other". The labeling was done by 6 experienced annotators that passed through a preliminary trial task. The only accepted tags are the tags assigned in agreement by not less than 5 annotators, and then passed through reconciliation with an experienced reconciliator.

    The News were collected as random news text chunks, containing mentions which either belong to the Entities dataset or can be easily confused with them. In each News text chunk one mention was selected for labeling, and 3-10 Wikipedia pages from Entities were suggested as the labels for an annotator to choose from. The labeling was done by 3 experienced annotators (odetta.ai), after the annotators passed a preliminary trial task. The results were reconciled by an experienced reconciliator. All the labeling was done using Lighttag (lighttag.io).

    Backlinks were obtained from Wikipedia dump data (dumps.wikimedia.org/enwiki/20210701) with intention to have mentions linked to the entities of the Entity dataset. The backlinks were filtered to leave only mentions in a good quality text; each text was cut 1000 characters after the last mention.

    Usage NotesEntities:
    

    File: Namesakes_entities.jsonl The Entities dataset consists of 4148 Wikipedia text chunks containing human-tagged mentions of entities. Each mention is tagged either as "Same" (meaning that the mention is of this Wikipedia page entity), or "Other" (meaning that the mention is of some other entity, just having the same or similar name). The Entities dataset is a jsonl list, each item is a dictionary with the following keys and values: Key: ‘pagename’: page name of the Wikipedia page. Key ‘pageid’: page id of the Wikipedia page. Key ‘title’: title of the Wikipedia page. Key ‘url’: URL of the Wikipedia page. Key ‘text’: The text chunk from the Wikipedia page. Key ‘entities’: list of the mentions in the page text, each entity is represented by a dictionary with the keys: Key 'text': the mention as a string from the page text. Key ‘start’: start character position of the entity in the text. Key ‘end’: end (one-past-last) character position of the entity in the text. Key ‘tag’: annotation tag given as a string - either ‘Same’ or ‘Other’.

    News: File: Namesakes_news.jsonl The News dataset consists of 1000 news text chunks, each one with a single annotated entity mention. The annotation either points to the corresponding entity from the Entities dataset (if the mention is of that entity), or indicates that the mentioned entity does not belong to the Entities dataset. The News dataset is a jsonl list, each item is a dictionary with the following keys and values: Key ‘id_text’: Id of the sample. Key ‘text’: The text chunk. Key ‘urls’: List of URLs of wikipedia entities suggested to labelers for identification of the entity mentioned in the text. Key ‘entity’: a dictionary describing the annotated entity mention in the text: Key 'text': the mention as a string found by an NER model in the text. Key ‘start’: start character position of the mention in the text. Key ‘end’: end (one-past-last) character position of the mention in the text. Key 'tag': This key exists only if the mentioned entity is annotated as belonging to the Entities dataset - if so, the value is a dictionary identifying the Wikipedia page assigned by annotators to the mentioned entity: Key ‘pageid’: Wikipedia page id. Key ‘pagetitle’: page title. Key 'url': page URL.

    Backlinks dataset: The Backlinks dataset consists of two parts: dictionary Entity-to-Backlinks and Backlinks documents. The dictionary points to backlinks for each entity of the Entity dataset (if any backlinks exist for the entity). The Backlinks documents are the backlinks Wikipedia text chunks with identified mentions of the entities from the Entities dataset.

    Each mention is identified by surrounded double square brackets, e.g. "Muir built a small cabin along [[Yosemite Creek]].". However, if the mention differs from the exact entity name, the double square brackets wrap both the exact name and, separated by '|', the mention string to the right, for example: "Muir also spent time with photographer [[Carleton E. Watkins | Carleton Watkins]] and studied his photographs of Yosemite.".

    The Entity-to-Backlinks is a jsonl with 1527 items. File: Namesakes_backlinks_entities.jsonl Each item is a tuple: Entity name. Entity Wikipedia page id. Backlinks ids: a list of pageids of backlink documents.

    The Backlinks documents is a jsonl with 26903 items. File: Namesakes_backlinks_texts.jsonl Each item is a dictionary: Key ‘pageid’: Id of the Wikipedia page. Key ‘title’: Title of the Wikipedia page. Key 'content': Text chunk from the Wikipedia page, with all mentions in the double brackets; the text is cut 1000 characters after the last mention, the cut is denoted as '...[CUT]'. Key 'mentions': List of the mentions from the text, for convenience. Each mention is a tuple: Entity name. Entity Wikipedia page id. Sorted list of all character indexes at which the mention occurrences start in the text.

  9. S

    SEO Reporting Tool Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 5, 2025
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    Data Insights Market (2025). SEO Reporting Tool Report [Dataset]. https://www.datainsightsmarket.com/reports/seo-reporting-tool-1455468
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jul 5, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The SEO reporting tools market is experiencing robust growth, driven by the increasing reliance on data-driven SEO strategies and the ever-evolving digital landscape. Businesses are increasingly recognizing the importance of accurate, comprehensive reporting to measure the effectiveness of their SEO campaigns and optimize their ROI. This demand fuels the adoption of sophisticated SEO reporting tools that provide detailed insights into website performance, keyword rankings, backlink profiles, and competitor analysis. The market's expansion is further propelled by advancements in AI and machine learning, which enhance the analytical capabilities of these tools, providing more accurate predictions and actionable recommendations. Key players like SEMrush, Ahrefs, and Moz are at the forefront of this innovation, constantly refining their offerings to meet the evolving needs of businesses of all sizes. The market segmentation includes tools catering to different budgets and expertise levels, ranging from basic website analysis tools to comprehensive enterprise-grade platforms. Regional variations exist, with North America and Europe currently dominating the market due to higher digital adoption rates and a greater concentration of businesses with robust online presences. However, growth is expected in Asia-Pacific and other emerging markets as digital transformation accelerates. The forecast period of 2025-2033 indicates continued expansion, with a projected Compound Annual Growth Rate (CAGR) that suggests a significant increase in market value over the next decade. Factors that might restrain growth include the increasing cost of advanced tools, the complexity of using some platforms, and the potential for market saturation as more competitors enter the space. However, ongoing innovation, integration with other marketing technologies, and the continuous need for businesses to improve their online visibility are anticipated to outweigh these challenges and sustain the market's upward trajectory. The competitive landscape is dynamic, with existing players constantly innovating and new entrants emerging. This competition benefits users, leading to greater affordability, improved features, and a wider selection of tools to meet diverse needs. The long-term outlook for the SEO reporting tools market remains positive, promising substantial growth opportunities for established players and new entrants alike.

  10. Z

    1000 Backlinks to instagram.com (21-Nov-2014) -- varocarbas.com

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jan 21, 2020
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    Carballo Garcia, Alvaro (2020). 1000 Backlinks to instagram.com (21-Nov-2014) -- varocarbas.com [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_12845
    Explore at:
    Dataset updated
    Jan 21, 2020
    Dataset authored and provided by
    Carballo Garcia, Alvaro
    License

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

    Description

    High quality backlinks to instagram.com. The retrieval process was completed on 21-Nov-2014.

    Note that the bots in varocarbas.com (Project 1 - Stage 2) are collecting a maximum of 1000 high-quality backlinks (e.g., "site.com/backlink" rather than "site.com/this/that/backlink") for each domain.

  11. E

    Ahrefs Statistics By Revenue And Facts (2025)

    • electroiq.com
    Updated Jun 3, 2025
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    Electro IQ (2025). Ahrefs Statistics By Revenue And Facts (2025) [Dataset]. https://electroiq.com/stats/ahrefs-statistics/
    Explore at:
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Electro IQ
    License

    https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Ahrefs Statistics: As of 2025, Ahrefs has solidified its position as a leading SEO and digital marketing tool, offering an expansive and continually updated database that empowers professionals to enhance their online visibility. The platform boasts a remarkable 35 trillion external backlinks and 29.1 trillion internal backlinks, with updates occurring every 15 to 30 minutes. Its keyword index has grown to 28.7 billion, sourced from 217 locations worldwide, marking a 37.98% increase since 2024

    Ahrefs' infrastructure includes 3,600 servers powered by 691,000 CPU cores, 4 petabytes of RAM, and 495 petabytes of SSD storage. The platform discovers approximately 10 million new pages daily and updates metrics for 300 million pages every 24 hours. Financially, Ahrefs achieved an annual revenue of USD 149.1 million in 2024.

    These statistics underscore Ahrefs' commitment to providing comprehensive and up-to-date SEO data, making it an indispensable tool for marketers and businesses aiming to optimize their digital strategies.

  12. S

    SEO (Search Engine Optimization) Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 2, 2025
    + more versions
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    Data Insights Market (2025). SEO (Search Engine Optimization) Software Report [Dataset]. https://www.datainsightsmarket.com/reports/seo-search-engine-optimization-software-1955991
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The SEO software market is experiencing robust growth, driven by the increasing reliance on digital marketing and the ever-evolving search engine algorithms. Between 2019 and 2024, the market likely saw significant expansion, considering the rising demand for tools that improve website visibility and organic search rankings. Key factors contributing to this growth include the increasing complexity of SEO strategies, the need for data-driven decision-making in digital marketing, and the growing adoption of SEO best practices across various industries. The market is segmented by software functionalities (keyword research, rank tracking, site audits, backlink analysis, etc.), pricing models (subscription-based, one-time purchase), and target user (small businesses, agencies, enterprises). Leading players like Moz, Semrush, Ahrefs, and others continuously innovate, adding features like AI-powered insights and enhanced reporting capabilities to cater to the evolving needs of their users. Looking ahead, the period between 2025 and 2033 is projected to witness sustained growth, albeit at a potentially slightly moderated CAGR compared to the previous period. This projection is based on the continuous advancement of search engine algorithms, the ongoing need for businesses to optimize their online presence, and the potential for further market consolidation as smaller players face competition from established industry leaders. Continued innovation in areas such as AI-driven SEO tools, integration with other marketing platforms, and more sophisticated data analytics capabilities are likely to be key drivers of future market expansion. However, potential restraints could include the rising cost of advanced SEO tools and the need for specialized expertise to effectively utilize the sophisticated features offered by these platforms. The market’s geographical distribution is expected to remain diversified, with North America and Europe continuing to hold significant shares, driven by high digital marketing adoption rates and the presence of major market players.

  13. g

    The major statistical data of natural referencing | gimi9.com

    • gimi9.com
    Updated Nov 30, 2024
    + more versions
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    (2024). The major statistical data of natural referencing | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_65f594ba5cf5f141524928b6/
    Explore at:
    Dataset updated
    Nov 30, 2024
    License

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

    Description

    This dataset gathers the most crucial SEO statistics for the year, providing an overview of the dominant trends and best practices in the field of search engine optimization. Aimed at digital marketing professionals, site owners, and SEO analysts, this collection of information serves as a guide to navigate the evolving SEO landscape with confidence and accuracy. Mode of Data Production: The statistics have been carefully selected and compiled from a variety of credible and recognized sources in the SEO industry, including research reports, web traffic data analytics, and consumer and marketing professional surveys. Each statistic was checked for reliability and relevance to current trends. Categories Included: User search behaviour: Statistics on the evolution of search modes, including voice and mobile search. Mobile Optimisation: Data on the importance of site optimization for mobile devices. Importance of Backlinks: Insights on the role of backlinks in SEO ranking and the need to prioritize quality. Content quality: Statistics highlighting the importance of relevant and engaging content for SEO. Search engine algorithms: Information on the impact of algorithm updates on SEO strategies. Usefulness of the Data: This dataset is designed to help users quickly understand current SEO dynamics and apply that knowledge in optimizing their digital marketing strategies. It provides a solid foundation for benchmarking, strategic planning, and informed decision-making in the field of SEO. Update and Accessibility: To ensure relevance and timeliness, the dataset will be regularly updated with new information and emerging trends in the SEO world.

  14. Digital Marketing Software (DMS) Market Analysis, Size, and Forecast...

    • technavio.com
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    Technavio, Digital Marketing Software (DMS) Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, Russia, and UK), APAC (China, India, and Japan), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/digital-marketing-software-market-analysis
    Explore at:
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States
    Description

    Snapshot img

    Digital Marketing Software (DMS) Market Size 2025-2029

    The digital marketing software (DMS) market size is forecast to increase by USD 133.59 billion, at a CAGR of 18.4% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing adoption of new data sources and regulatory innovations. Businesses are leveraging these advancements to gain valuable customer insights and enhance their marketing strategies. Another key factor fueling market expansion is the widespread use of social media and e-commerce platforms for marketing purposes. These channels offer businesses an opportunity to reach a larger and more diverse audience, fostering increased competition and innovation. However, the market is not without challenges. Data privacy and security concerns continue to pose a significant obstacle, as companies strive to protect sensitive customer information while still delivering personalized marketing experiences.
    Balancing these competing priorities will require continued investment in advanced security technologies and robust data management practices. By addressing these challenges and capitalizing on emerging opportunities, companies can effectively navigate the dynamic digital marketing landscape and drive growth in the DMS Market.
    

    What will be the Size of the Digital Marketing Software (DMS) Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The market continues to evolve, with dynamic market activities shaping its landscape. Seamlessly integrated solutions are transforming marketing efforts across various sectors. Paid advertising (PPC) campaigns and website analytics provide valuable insights into customer behavior, enabling data-driven decision-making. Keyword ranking and technical SEO tools optimize websites for search engines, enhancing visibility. Multivariate testing and affiliate marketing foster conversion and customer segmentation. Website authority and content promotion bolster brand awareness. Form analytics and influencer marketing offer invaluable data on user experience (UX) and engagement. Scroll maps and video optimization cater to evolving consumer preferences. Content marketing and Google Analytics facilitate content strategy and performance measurement.

    Local SEO, international SEO, and e-commerce SEO cater to diverse business needs. Website security, email marketing, and link building ensure trust and credibility. On-page optimization and website design optimize user experience. Search console and content syndication expand reach. Social media marketing and structured data enhance online presence. A/B testing and website traffic analysis facilitate continuous improvement. Mobile optimization and image optimization cater to the growing mobile user base. Marketing automation and competitor analysis streamline campaigns and inform strategy. Bing ads and lead generation tools expand advertising reach. Landing pages and XML sitemaps optimize conversion funnels. Bounce rate analysis and backlink checker ensure website health.

    Schema markup and marketing automation tools improve search engine understanding of content.

    How is this Digitaling Software (DMS) Industry segmented?

    The digitaling software (dms) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    End-user
    
      Large enterprises
      Small and medium enterprises (SMEs)
    
    
    Service
    
      Professional services
      Managed services
    
    
    Revenue Stream
    
      Subscription-based
      License-based
      Pay-per-use
      Freemium
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        Russia
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Argentina
        Brazil
    
    
      Rest of World (ROW)
    

    By End-user Insights

    The large enterprises segment is estimated to witness significant growth during the forecast period.

    The market is witnessing significant growth due to the increasing adoption of advanced marketing tools by businesses of all sizes. Customer segmentation and social media engagement are key areas where DMS plays a pivotal role, enabling businesses to target their audience effectively and engage with them in real-time. With the rise of pay-per-click (PPC) advertising and search engine optimization (SEO) tools, marketing campaigns are becoming more data-driven and targeted. Local SEO and international SEO are essential for businesses looking to expand their reach, while domain authority and average session duration are crucial metrics for measuring the success of marketing efforts.

    User experience (UX) is another critical factor, with content calendars, website audits

  15. Online Ad Spending Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    Updated May 20, 2025
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    Technavio (2025). Online Ad Spending Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, and UK), APAC (China, India, and Japan), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/online-ad-spending-market-industry-analysis
    Explore at:
    Dataset updated
    May 20, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Germany, United Kingdom, United States, Canada, Global
    Description

    Snapshot img

    Online Ad Spending Market Size 2025-2029

    The online ad spending market size is forecast to increase by USD 286.6 billion, at a CAGR of 11.7% between 2024 and 2029.

    The market is experiencing significant shifts, with a noticeable decline in offline advertising expenditures driving more businesses towards digital channels. This trend is fueled by the increasing popularity of online video and connected TV (CTV) advertising, as consumers increasingly engage with content on digital platforms. However, this market is not without challenges. The rise of click fraud activities poses a significant threat, requiring robust fraud detection mechanisms and continuous optimization of digital ad campaigns to mitigate potential losses. Companies seeking to capitalize on the opportunities presented by this dynamic market must stay abreast of these trends and proactively address the challenges to maintain a competitive edge.
    Effective strategies include investing in advanced ad fraud prevention technologies, optimizing video and CTV ad placements, and leveraging data-driven insights to create targeted and personalized campaigns. By navigating these trends and challenges, businesses can maximize their online ad spending and effectively reach their audiences in the digital realm.
    

    What will be the Size of the Online Ad Spending Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The market continues to evolve, with digital marketing strategies becoming increasingly intricate and data-driven. Entities such as website structure, voice search optimization, and search network play pivotal roles in this dynamic landscape. Artificial intelligence and machine learning are revolutionizing the way businesses approach marketing, from keyword research and content marketing to predictive analytics and decision making. Marketing technology, including SEO tools and marketing automation, enables businesses to optimize their online presence and enhance user experience. Disruptive technologies like schema markup, ad extensions, and social media advertising are reshaping consumer behavior and influencing marketing ROI. Moreover, the importance of data security and privacy in the digital age cannot be overstated.

    As businesses collect and analyze vast amounts of data, data ethics and privacy policies become essential components of marketing strategies. The ongoing unfolding of market activities also encompasses the integration of marketing technology, content syndication, and SEO reporting to streamline marketing efforts and improve marketing measurement. Ad copywriting and natural language processing are crucial elements in creating engaging and effective ad campaigns. Backlink analysis and page speed optimization are essential components of SEO, while link building and conversion tracking help businesses measure the success of their digital marketing initiatives. Core web vitals and mobile optimization are vital for ensuring a seamless user experience across devices.

    In the ever-evolving digital marketing landscape, businesses must stay informed and adapt to the latest trends and technologies to remain competitive. From local SEO to e-commerce SEO, marketing budgets and strategies must be agile and responsive to the continuous shifts in consumer behavior and market dynamics.

    How is this Online Ad Spending Industry segmented?

    The online ad spending industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Platform
    
      Mobile devices
      Desktops
    
    
    Application
    
      Retail and e-commerce
      Healthcare and pharma
      Media and entertainment
      Travel and hospitality
      Others
    
    
    Type
    
      Search Ads
      Social Media Ads
      Display Ads
      Video Ads
      Others
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Platform Insights

    The mobile devices segment is estimated to witness significant growth during the forecast period.

    The digital advertising landscape is undergoing significant shifts, with mobile advertising emerging as a key driver of growth. The proliferation of smartphones and increasing mobile Internet usage has led to a surge in mobile advertising spend. In 2023, global smartphone shipments reached an impressive 1.17 billion units, fueling the demand for mobile ads. Major players in the smartphone market, including Samsung Electronics, Apple, Xiaomi, Oppo, and Vivo, have reported increased shipments, indicating a strong consumer preference for mobile devices. To maximize the potential of mobile adver

  16. D

    Custom Url Shortener Tool Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Custom Url Shortener Tool Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/custom-url-shortener-tool-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 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

    Custom URL Shortener Tool Market Outlook



    The global market size for Custom URL Shortener Tools in 2023 is estimated to be approximately $800 million, with a projected CAGR of 13% from 2024 to 2032, potentially reaching around $2.4 billion by 2032. This expansive growth is driven by the increasing demand for effective online branding and analytics, as well as the rising importance of digital marketing strategies across various industries.



    The growth in this market can be attributed to several key factors. First, the surge in digital marketing initiatives across industries is a major driver. Companies are increasingly investing in advanced tools for more efficient customer engagement, brand visibility, and marketing campaign performance. Custom URL shorteners offer an easy way to manage, track, and optimize these campaigns, making them indispensable in modern marketing toolkits. Moreover, these tools enhance the user experience by providing cleaner and more manageable links, which are essential for social media marketing and other online platforms.



    Another significant factor propelling the growth of the custom URL shortener tool market is the rising focus on data analytics and tracking. Businesses are now more aware of the importance of data-driven decision-making. Custom URL shorteners come with integrated analytics features that allow companies to track link performance, user engagement, and other critical metrics. This data is invaluable for optimizing marketing strategies and improving ROI, which in turn boosts the demand for these tools.



    Technological advancements and the integration of artificial intelligence (AI) and machine learning (ML) into URL shortener tools also contribute to market expansion. These advanced technologies enable predictive analytics and automated link customization, thereby enhancing the efficiency and effectiveness of marketing efforts. The development of more sophisticated features like QR code generation and brand-specific links further adds to the utility and appeal of custom URL shorteners, driving their adoption across various sectors.



    Regionally, North America currently holds the largest market share, driven by the high adoption rate of digital marketing tools and advanced analytics solutions. Europe follows closely, benefiting from robust technological infrastructure and a strong emphasis on data privacy and management. The Asia-Pacific region is expected to witness the highest growth rate during the forecast period, fueled by rapid digitalization, increasing internet penetration, and the growing importance of online branding in countries like China, India, and Japan.



    In the realm of digital marketing, the significance of a Link Building Tool cannot be overstated. These tools are instrumental in enhancing a website's visibility and authority by facilitating the creation of high-quality backlinks. Backlinks are crucial for improving search engine rankings, as they signal to search engines that a website is credible and valuable. By using a Link Building Tool, businesses can efficiently identify potential link opportunities, track their link-building progress, and analyze the impact of their efforts. This not only aids in boosting organic traffic but also strengthens the overall digital marketing strategy, making it an essential component for businesses aiming to enhance their online presence.



    Component Analysis



    In the custom URL shortener tool market, the component segment is divided into software and services. The software segment primarily includes the platforms and applications used for URL shortening and management. This segment is experiencing robust growth due to the increasing demand for user-friendly, feature-rich tools that offer comprehensive analytics and customization options. These software solutions are often integrated with other marketing tools, enhancing their utility and adoption across various sectors. As businesses continue to shift towards digital platforms, the demand for sophisticated URL shortening software is expected to rise significantly.



    On the other hand, the services segment encompasses consultancy, implementation, and support services related to custom URL shortener tools. These services are crucial for ensuring the smooth deployment and effective utilization of URL shortening solutions. The growing complexity of digital marketing strategies and the need for specialized expertise are driving the demand for professional services. Businesse

  17. C

    Competitor Analysis Evaluation Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 2, 2025
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    Data Insights Market (2025). Competitor Analysis Evaluation Report [Dataset]. https://www.datainsightsmarket.com/reports/competitor-analysis-evaluation-1987684
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The competitive landscape of the website analytics market, encompassing players like Google, BuiltWith, SEMrush, and others, is dynamic and characterized by significant growth. The market's size in 2025 is estimated at $15 billion, reflecting a Compound Annual Growth Rate (CAGR) of 15% from 2019. This robust growth is driven by increasing reliance on data-driven decision-making across businesses, expanding digital marketing strategies, and the rise of e-commerce. Key trends include the integration of AI and machine learning for more sophisticated analysis, the increasing demand for real-time data, and a growing focus on personalized user experiences. While the market faces constraints such as data privacy concerns and the complexity of integrating diverse data sources, the overall outlook remains highly positive. The market is segmented by solution type (website analytics, social media analytics, app analytics), deployment mode (cloud, on-premise), and enterprise size (small, medium, large). Companies are focusing on developing advanced analytical capabilities, strengthening partnerships, and expanding their global reach to maintain their competitive edge. The competitive analysis reveals a clear dominance by established players such as Google Analytics, leveraging its massive user base and comprehensive feature set. However, specialized tools like SEMrush and Ahrefs cater to niche needs like SEO analysis and backlink profiling. Smaller players often differentiate themselves through specialized features, superior customer support, or cost-effectiveness, carving out space within the market. Future market share will largely depend on the ability of companies to innovate, adapt to changing privacy regulations, and successfully integrate cutting-edge technologies like AI and machine learning into their offerings. The competition is expected to intensify further with the emergence of new players and the constant evolution of analytical techniques. Strategic mergers and acquisitions are also likely to reshape the market structure in the coming years.

  18. 1000 Backlinks to feedburner.com (26-Nov-2014) -- varocarbas.com

    • zenodo.org
    • data.niaid.nih.gov
    csv
    Updated Jan 24, 2020
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    Alvaro Carballo Garcia; Alvaro Carballo Garcia (2020). 1000 Backlinks to feedburner.com (26-Nov-2014) -- varocarbas.com [Dataset]. http://doi.org/10.5281/zenodo.12990
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Alvaro Carballo Garcia; Alvaro Carballo Garcia
    License

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

    Description

    High quality backlinks to feedburner.com. The retrieval process was completed on 26-Nov-2014.

    Note that the bots in varocarbas.com (Project 1 - Stage 2) are collecting a maximum of 1000 high-quality backlinks (e.g., "site.com/backlink" rather than "site.com/this/that/backlink") for each domain.

  19. C

    Competition Marketing Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 3, 2025
    + more versions
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    Data Insights Market (2025). Competition Marketing Software Report [Dataset]. https://www.datainsightsmarket.com/reports/competition-marketing-software-510896
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The competitive marketing software market is experiencing robust growth, driven by the increasing need for businesses to understand their competitive landscape and optimize their marketing strategies. The market, estimated at $5 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 15% through 2033, reaching approximately $15 billion by the end of the forecast period. This growth is fueled by several key factors: the rising adoption of digital marketing, the increasing complexity of online competitive analysis, and the growing demand for data-driven marketing decisions. Key players like SEMrush, Ahrefs, and Moz Pro are leading this market, offering comprehensive suites of tools for keyword research, backlink analysis, competitor monitoring, and SEO optimization. The market's segmentation is likely diversified across various functionalities (e.g., SEO tools, social media analytics, PPC analysis) and business sizes, catering to both small and large enterprises. Growth is further boosted by ongoing technological advancements in data analytics and artificial intelligence, leading to more sophisticated and actionable insights for marketers. Despite its rapid expansion, the market faces challenges. High initial investment costs and the need for specialized technical expertise can act as barriers to entry for smaller businesses. Furthermore, the constant evolution of search engine algorithms and online marketing landscapes requires continuous software updates and adaptation from vendors. The market is also prone to intense competition, with established players constantly innovating and new entrants vying for market share. Nevertheless, the overall market outlook remains positive, with ongoing growth driven by the increasing reliance on data-driven decision-making and the evolving complexity of the digital marketing landscape. Regional variations in market penetration will likely exist, with North America and Europe expected to hold significant shares, followed by the Asia-Pacific region witnessing faster growth.

  20. Z

    1000 Backlinks to sina.com.cn (16-Dec-2014) -- varocarbas.com

    • data.niaid.nih.gov
    Updated Jan 24, 2020
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    Carballo Garcia, Alvaro (2020). 1000 Backlinks to sina.com.cn (16-Dec-2014) -- varocarbas.com [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_13335
    Explore at:
    Dataset updated
    Jan 24, 2020
    Dataset authored and provided by
    Carballo Garcia, Alvaro
    License

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

    Description

    High quality backlinks to sina.com.cn. The retrieval process was completed on 16-Dec-2014.

    Note that the bots in varocarbas.com (Project 1 - Stage 2) are collecting a maximum of 1000 high-quality backlinks (e.g., "site.com/backlink" rather than "site.com/this/that/backlink") for each domain.

Share
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Link copied
Close
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DataForSEO (2023). DataForSEO Backlink Summary Database [Dataset]. https://datarade.ai/data-products/dataforseo-backlink-summary-database-dataforseo
Organization logo

DataForSEO Backlink Summary Database

Explore at:
.json, .csvAvailable download formats
Dataset updated
Aug 17, 2023
Dataset provided by
Authors
DataForSEO
Area covered
Equatorial Guinea, Tonga, Ukraine, Mexico, Canada, Nicaragua, Vanuatu, Sri Lanka, Yemen, Solomon Islands
Description

The fields description may be found here: https://docs.dataforseo.com/v3/databases/backlink_summary/?bash

DataForSEO Backlink Summary Database encompasses millions of domains enriched with backlink data and other related metrics. You will get a comprehensive overview of a domain’s backlink profile, including the number of inbound links, referring domains and referring pages, new & lost backlinks and referring domains, domain rank, backlink spam score, and more.

This database is available in both JSON and CSV formats.

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