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  1. SEO Performance Data - UrbanScape Apparel

    • kaggle.com
    Updated Sep 25, 2024
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    SakshiAndhale (2024). SEO Performance Data - UrbanScape Apparel [Dataset]. https://www.kaggle.com/datasets/sakshiandhale62442/seo-performance-data-urbanscape-apparel
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    SakshiAndhale
    Description

    Understanding: UrbanScape Apparel SEO Performance Final Dataset

    Company: BrightWave Digital Department: Digital Marketing & SEO Team Industry: E-commerce (fashion and lifestyle products) Brand: UrbanScape Apparel

    Story

    BrightWave Digital is a fast-growing digital marketing agency that handles full-spectrum SEO, SEM, and content marketing for various clients. The SEO team is tasked with pushing UrbanScape Apparel, a sustainable fashion brand, to the top of the search rankings. The brand sells eco-friendly clothing and accessories aimed at environmentally conscious consumers in North America.

    UrbanScape Apparel has recently expanded its product lines and introduced new collections, such as “Urban Outdoors” for hiking gear and “EcoActive” for athleisure. With increased competition in the eco-fashion market, BrightWave Digital’s SEO team must optimize UrbanScape’s site performance, monitor SEO metrics closely, and demonstrate measurable improvements in organic traffic and conversions.

    Objectives

    Improve rankings for high-intent keywords like "eco-friendly clothing" and "sustainable outdoor gear." Boost organic traffic from both mobile and desktop devices. Increase visibility through backlinks from high domain authority (DA) sites. Optimize Core Web Vitals to ensure the site ranks higher in Google’s search results. The dashboard data includes traffic, keyword rankings, click-through rates (CTR), and other performance metrics to track how well the SEO efforts are contributing to the brand’s growth.

    Column Description

    1. Date Definition: The specific day for which the data is collected. Importance: Allows tracking of daily trends and pinpointing specific dates of spikes or drops in performance.

    2. Month Definition: The month corresponding to the data being analyzed. Importance: Helps in understanding monthly trends and seasonal patterns in traffic and user behavior.

    3. Year Definition: The year in which the data was recorded. Importance: Essential for long-term trend analysis and year-over-year performance comparisons.

    4. Quarter Definition: The fiscal quarter (Q1, Q2, Q3, Q4) for the given data. Importance: Useful for quarterly business reviews and strategy adjustments based on performance.

    5. Time Of Day Definition: The specific time range (e.g., morning, afternoon, evening) when the traffic or engagement was recorded. Importance: Helps in understanding peak traffic times and optimizing content publishing schedules.

    6. Primary Keywords Definition: The main keywords targeted for SEO, typically with high search volume and relevance to the brand. Importance: Crucial for understanding the focus of the SEO strategy and the effectiveness of ranking for these terms.

    7. Secondary Keywords Definition: Additional keywords that complement primary keywords, often with lower competition and specific niches. Importance: Provides insights into secondary areas of focus that can still drive significant traffic and conversions.

    8. Long-Tail Keywords Definition: More specific keyword phrases usually consisting of three or more words, targeting niche search queries. Importance: Important for attracting highly targeted traffic and often associated with higher conversion rates.

    9. Location Definition: Geographic region from where the traffic is coming. Importance: Helps in understanding regional performance and tailoring content or promotions to specific markets.

    10. Social Media Source Definition: The social media platform (e.g., Instagram, Pinterest) from which traffic is referred to the site. Importance: Measures the impact of social media channels on website traffic and engagement.

    11. Media Type Definition: The format of the media content (e.g., image, video, article) driving traffic. Importance: Analyzes which media types resonate best with the audience and contribute to higher engagement.

    12. Device Type Definition: The type of device used by visitors (e.g., mobile, desktop, tablet) to access the website. Importance: Essential for optimizing user experience across different devices and identifying potential issues.

    13. Organic Traffic Definition: The number of visitors coming to the site through unpaid search results. Importance: Shows how well the site is performing in attracting users through SEO efforts without relying on paid advertising.

    14. Keywords Ranking Definition: The position of targeted keywords in search engine results pages (SERPs). Importance: Indicates the effectiveness of SEO strategies in improving keyword visibility and competitiveness.

    15. Clicks Definition: The number of times users click on the site’s links from search results. Importance: Reflects user interest and relevance of the search snippets or ads shown to users.

    16. Impressions Definition: The number of times a site appears in search results for a specific keyword. Importance: High impressions with low clicks may indicate the need to improve titles or meta descriptions.

    17. CTR (%) Definition: Click-through rate, calculated as the percentage of clicks out of total impressions. Importance: A key metric to measure how effectively a site’s listings attract clicks from search results.

    18. Average Position Definition: The average rank of a site’s pages in search engine results for targeted keywords. Importance: Helps in assessing overall keyword performance and the effectiveness of SEO efforts.

    19. Backlinks Definition: The number of inbound links from other websites pointing to the site. Importance: An important factor in SEO that contributes to domain authority and search rankings.

    20. Domain Authority Definition: A score (typically out of 100) that predicts how well a site will rank in search results. Importance: Higher domain authority can lead to better ranking potential and improved SEO performance.

    21. Bounce Rate (%) Definition: The percentage of visitors who leave the site after viewing only one page. Importance: Indicates the effectiveness of landing pages and user engagement. High bounce rates may signal issues with page content or usability.

    22. Pages per Session Definition: The average number of pages a visitor views during a single session on the site. Importance: Higher values suggest better user engagement and content relevance.

    23. Organic vs Paid Traffic Split (%) Definition: The proportion of visitors coming from organic search versus paid ads. Importance: Provides insights into the reliance on paid search and the effectiveness of organic SEO strategies.

    24. Organic Traffic Growth Rate (%) Definition: The percentage increase or decrease in organic traffic over a specified period. Importance: A key metric to measure the success of SEO efforts in driving more organic visitors.

    25. Conversion Rate (%) Definition: The percentage of site visitors who complete a desired action (e.g., purchase, sign-up). Importance: Indicates the effectiveness of the site in converting visitors into customers or leads.

    26. Goal Completions Definition: The total number of times predefined goals (e.g., form submissions, purchases) are completed on the site. Importance: Measures the achievement of business objectives and site performance in driving desired actions.

    27. Average Session Duration (sec) Definition: The average amount of time a user spends on the site in a single session. Importance: Indicates how engaging the site content is and whether it meets user expectations.

    28. New vs Returning Visitors (%) Definition: The ratio of first-time visitors to returning visitors. Importance: Helps in understanding audience loyalty and the effectiveness of retention strategies.

    29. Exit Rate (%) Definition: The percentage of users who leave the site from a particular page. Importance: Highlights which pages may be causing users to leave the site, signaling a need for improvement.

    30. Top Landing Pages Definition: The pages on the site that receive the most traffic as entry points. Importance: Identifies high-performing pages and potential areas for optimization.

    31. Keyword Difficulty Definition: A score indicating how hard it is to rank for a specific keyword based on competition and search volume. Importance: Helps prioritize keyword targeting and SEO efforts based on competitiveness.

    32. CPC for Paid Keywords ($) Definition: The average cost-per-click for the site’s paid keywords. Importance: Helps in budgeting for paid campaigns and understanding the financial impact of targeting high-value keywords.

    33. Indexed Pages Definition: The number of pages from the site indexed by search engines. Importance: A larger number of indexed pages can increase the site’s visibility and the potential for ranking for multiple keywords.

    34. Mobile vs Desktop Traffic Split (%) Definition: The proportion of traffic coming from mobile devices versus desktop devices. Importance: Essential for optimizing user experience and site performance across different devices.

    35. Organic Revenue ($) Definition: The revenue generated from organic search traffic. Importance: Directly correlates SEO performance to business outcomes and financial success.

    36. Page Load Time (sec) Definition: The average time it takes for a page to fully load. Importance: A critical factor in user experience and SEO, as slower load times can lead to higher bounce rates and lower rankings.

    37. Core Web Vitals - LCP (sec) Definition: Largest Contentful Paint, measures loading performance and time taken for the largest content element to be visible. Importance: A key metric for evaluating page speed and user experience.

    38. Core Web Vitals - FID (ms) Definition: First Input Delay, measures the time it takes for a page to become interactive. Importance: Important for assessing interactivity and responsiveness, impacting user experience.

    39. Core Web Vitals - CLS

  2. Bolivia: Alexa ranking of leading websites 2022, by daily page views

    • statista.com
    Updated Jun 6, 2023
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    Statista (2023). Bolivia: Alexa ranking of leading websites 2022, by daily page views [Dataset]. https://www.statista.com/statistics/1204245/alexa-leading-websites-bolivia-daily-page-views/
    Explore at:
    Dataset updated
    Jun 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Bolivia
    Description

    Google.com was the website with the most page views per day in Bolivia in February 2022, according to ranking by Alexa. The website had more than 18.49 daily page views and was followed by Unitel.bo, with 11 page views per day that month. Within Latin America, Mexico was the country where Amazon Alexa contained the largest number of skills.

  3. Popular websites across the globe

    • kaggle.com
    zip
    Updated May 27, 2017
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    bpali26 (2017). Popular websites across the globe [Dataset]. https://www.kaggle.com/bpali26/popular-websites-across-the-globe
    Explore at:
    zip(639485 bytes)Available download formats
    Dataset updated
    May 27, 2017
    Authors
    bpali26
    Description

    Context

    This dataset includes some of the basic information of the websites we daily use. While scrapping this info, I learned quite a lot in R programming, system speed, memory usage etc. and developed my niche in Web Scrapping. It took about 4-5 hrs for scrapping this data through my system (4GB RAM) and nearly about 4-5 days working out my idea through this project.

    Content

    The dataset contains Top 50 ranked sites from each 191 countries along with their traffic (global) rank. Here, country_rank represent the traffic rank of that site within the country, and traffic_rank represent the global traffic rank of that site.

    Since most of the columns meaning can be derived from their name itself, its pretty much straight forward to understand this dataset. However, there are some instances of confusion which I would like to explain in here:

    1) most of the numeric values are in character format, hence, contain spaces which you might need to clean on.

    2) There are multiple instances of same website. for.e.g. Yahoo. com is present in 179 rows within this dataset. This is due to their different country rank in each country.

    3)The information provided in this dataset is for the top 50 websites in 191 countries as on 25th May 2017 and is subjected to change in future time due to the dynamic structure of ranking.

    4) The dataset inactual contains 9540 rows instead of 9550(50*191 rows). This was due to the unavailability of information for 10 websites.

    PS: in case if there are anymore queries, comment on this, I'll add an answer to that in above list.

    Acknowledgements

    I wouldn't have done this without the help of others. I've scrapped this information from publicly available (open to all) websites namely: 1) http://data.danetsoft.com/ 2) http://www.alexa.com/topsites , of which i'm highly grateful. I truly appreciate and thanks the owner of these sites for providing us with the information that I included today in this dataset.

    Inspiration

    I feel that there this a lot of scope for exploring & visualization this dataset to find out the trends in the attributes of these websites across countries. Also, one could try predicting the traffic(global) rank being a dependent factor on the other attributes of the website. In any case, this dataset will help you find out the popular sites in your area.

  4. Serpstat: Websites Rating by industries | 1K+ Industries | 229 Countries |...

    • datarade.ai
    .csv, .json, .xls
    Updated Sep 21, 2023
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    Serpstat (2023). Serpstat: Websites Rating by industries | 1K+ Industries | 229 Countries | Website industry&Global Rank | Key SEO metrics | Refreshed on request [Dataset]. https://datarade.ai/data-products/serpstat-domain-rating-1m-domains-with-categories-united-s-serpstat
    Explore at:
    .csv, .json, .xlsAvailable download formats
    Dataset updated
    Sep 21, 2023
    Dataset authored and provided by
    Serpstat
    Area covered
    Pakistan, Algeria, Guatemala, Kyrgyzstan, Belize, Zimbabwe, South Sudan, Maldives, Taiwan, Saint Helena
    Description

    Delve into Serpstat's comprehensive website ratings, providing an in-depth analysis of websites across 1K+ industries and 229 countries. Our datasets offer a wealth of valuable metrics, including domain global rating, domain rating within the category, and domain category (e.g., Shopping/Apparel/Footwear). Gain insights into domain estimated search traffic, domain visibility (an indicator of domain visibility in the top 20 Google results), number of domain SEO keywords, number of referring domains, number of backlinks, and Serpstat Domain Rank (a domain authority indicator).

    With these robust metrics, our datasets empower businesses to make informed decisions and optimize their online strategies effectively. Whether you're conducting competitor analysis, market research, or SEO optimization, Serpstat's website ratings provide the comprehensive insights needed to drive success in today's digital landscape. Plus, our datasets are refreshed on demand, ensuring that you always have access to the most up-to-date information for strategic decision-making.

  5. C

    Website Statistics By Industry, Visitors, Regions, Domains, Ranking, Design...

    • coolest-gadgets.com
    Updated Jan 17, 2025
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    Coolest Gadgets (2025). Website Statistics By Industry, Visitors, Regions, Domains, Ranking, Design And Company Size [Dataset]. https://www.coolest-gadgets.com/website-statistics/
    Explore at:
    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    Coolest Gadgets
    License

    https://www.coolest-gadgets.com/privacy-policyhttps://www.coolest-gadgets.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Website Statistics: Website Statistics will help you to understand how a website is performing and how people should interact with it. These statistics and data show things like how many visitors come to the site, how long they stay, and what pages they view. After analyzing this information from different insights, website owners can figure out what works well and what needs improvement.

    For example, if visitors leave quickly, it might mean the site is hard to use or not interesting. Website statistics also help businesses decide how to reach more people and improve user experience. Tools such as Google Analytics make it easier to track these details. In short, website statistics are a powerful way to learn about and improve a website's performance.

  6. Image and video content criteria ranking by importance on websites in France...

    • statista.com
    • flwrdeptvarieties.store
    Updated Nov 30, 2022
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    Statista (2022). Image and video content criteria ranking by importance on websites in France 2020 [Dataset]. https://www.statista.com/statistics/1220577/image-and-video-criteria-ranking-by-importance-on-websites-france/
    Explore at:
    Dataset updated
    Nov 30, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    France
    Description

    The textual content on website for the SEO performance was unanimously considered as very important, according to French SEO professionals in 2020. Other than that, for half of SEOs, high image definition was not a major positioning criterion. However, according to the source, Google is starting to indicate that this is important, but mainly for the user experience for now. For images using an optimized alt tag, it was considered to be important with 3.44 points out of five, five representing the most important score.

  7. Main web ranking factors becoming more relevant in Italy 2021-2022

    • statista.com
    Updated Dec 12, 2023
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    Statista (2023). Main web ranking factors becoming more relevant in Italy 2021-2022 [Dataset]. https://www.statista.com/statistics/798340/ranking-factors-becoming-more-relevant-in-italy/
    Explore at:
    Dataset updated
    Dec 12, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    A 2021 survey among Italian digital professionals found that the optimization of mobile experience and user experience was considered the most relevant factor by over 62 percent of the respondents, while around 61 percent of the professionals thought that the relationship between search intent of the users and the website's content was becoming more relevant.

  8. Alexa Top 1 Million Sites

    • kaggle.com
    zip
    Updated Jan 16, 2018
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    Sid Ghodke (2018). Alexa Top 1 Million Sites [Dataset]. https://www.kaggle.com/cheedcheed/top1m
    Explore at:
    zip(10022889 bytes)Available download formats
    Dataset updated
    Jan 16, 2018
    Authors
    Sid Ghodke
    Description

    Context

    A listing of the top 1-million websites according to Alexa.com.

    Content

    Rank and Site name

    Acknowledgements

    Fork from: https://github.com/mozilla/cipherscan/tree/master/top1m

  9. Most visited websites by hierachycal categories

    • kaggle.com
    Updated Sep 18, 2020
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    Natanael de Souza Figueiredo (2020). Most visited websites by hierachycal categories [Dataset]. https://www.kaggle.com/natanael127/most-visited-websites-by-hierachycal-categories/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 18, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Natanael de Souza Figueiredo
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Alexa Internet was founded in April 1996 by Brewster Kahle and Bruce Gilliat. The company's name was chosen in homage to the Library of Alexandria of Ptolemaic Egypt, drawing a parallel between the largest repository of knowledge in the ancient world and the potential of the Internet to become a similar store of knowledge. (from Wikipedia)

    The categories list was going out by September, 17h, 2020. So I would like to save it. https://support.alexa.com/hc/en-us/articles/360051913314

    This dataset was elaborated by this python script (V2.0): https://github.com/natanael127/dump-alexa-ranking

    Content

    The sites are grouped in 17 macro categories and this tree ends having more than 360.000 nodes. Subjects are very organized and each of them has its own rank of most accessed domains. So, even the keys of a sub-dictionary may be a good small dataset to use.

    Acknowledgements

    Thank you my friend André (https://github.com/andrerclaudio) by helping me with tips of Google Colaboratory and computational power to get the data until our deadline.

    Inspiration

    Alexa ranking was inspired by Library of Alexandria. In the modern world, it may be a good start for AI know more about many, many subjects of the world.

  10. P

    Alexa Domains Dataset

    • paperswithcode.com
    • opendatalab.com
    Updated Feb 1, 2001
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    Isaac Corley; Jonathan Lwowski; Justin Hoffman (2001). Alexa Domains Dataset [Dataset]. https://paperswithcode.com/dataset/gagan-bhatia
    Explore at:
    Dataset updated
    Feb 1, 2001
    Authors
    Isaac Corley; Jonathan Lwowski; Justin Hoffman
    Description

    This dataset is composed of the URLs of the top 1 million websites. The domains are ranked using the Alexa traffic ranking which is determined using a combination of the browsing behavior of users on the website, the number of unique visitors, and the number of pageviews. In more detail, unique visitors are the number of unique users who visit a website on a given day, and pageviews are the total number of user URL requests for the website. However, multiple requests for the same website on the same day are counted as a single pageview. The website with the highest combination of unique visitors and pageviews is ranked the highest

  11. SimilarWeb Top Websites [April 2024]

    • kaggle.com
    Updated Sep 21, 2024
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    Mohammed Kamal Alsyd (2024). SimilarWeb Top Websites [April 2024] [Dataset]. https://www.kaggle.com/datasets/mohammedkamalalsyd/similarweb-top-websites/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 21, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mohammed Kamal Alsyd
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset provides detailed insights into website traffic metrics and user engagement statistics, collected from SimilarWeb. The data includes information on various websites, such as rank, category, average visit duration, pages per visit, and bounce rate. This data aims to facilitate an understanding of online behavior and performance trends across different sectors, making it a valuable resource for researchers, marketers, and data analysts. The dataset is ideal for exploring patterns in web traffic and user interaction and conducting comparative analyses across various website categories.

    Important Warning: Running this code within Kaggle may result in a ban, as scraping activities are prohibited on the platform. There is no guarantee that any ban will be lifted, as Kaggle staff may interpret scraping as a denial-of-service attack. Although I have implemented measures to reduce server load, such as adding sleep intervals, it is advisable to run this code locally to ensure compliance with Kaggle's policies.

  12. a

    Maya Sites Rank 1

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Mar 8, 2019
    + more versions
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    Tennessee Geographic Alliance (2019). Maya Sites Rank 1 [Dataset]. https://hub.arcgis.com/datasets/e80e287e0a6b400782f37968d63a32de
    Explore at:
    Dataset updated
    Mar 8, 2019
    Dataset authored and provided by
    Tennessee Geographic Alliance
    Area covered
    Description

    This data set contains Mayan sites from http://www.famsi.org/research/MayaGIS/index.html. Teachers interested in Mesoamerican cultures should review the FAMSI site for maps and classroom activities.

  13. d

    6 Ways to Get on the First Page of Google

    • search.dataone.org
    Updated Dec 5, 2021
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    Craig Lebrau (2021). 6 Ways to Get on the First Page of Google [Dataset]. https://search.dataone.org/view/sha256%3A94072dcb2c71a8737178a6ede7d9d81fbdeeeee922b176c5ceadd564268121fa
    Explore at:
    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Craig Lebrau
    Description

    When you’re at work or at home, there’s a high chance that you’re going to use Google. You may be using Google to find a plumber for your leaky bathroom sink or see where the best sushi is in town. When you’re on Google, you’re looking for the top results which means you’re not scrolling past page one, unless, you’re desperate. So, getting your company on the first page of Google is extremely important and impactful for success. But, how do you get your business there? Well, here’s how.

    Know the Basics

    Before you do anything, you need to know the basics of how online marketing and Google search functions. By knowing the basics, you won’t waste time performing outdated tasks or being overcharged by an SEO Agency http://www.whitehatagency.com.au/seo-agency or marketing companies that recognize your lack of knowledge. Education is the key to success.

    Use SEO

    Search Engine Optimization is the method of attracting online attention and visibility through organic means. In essence, the unpaid search results - the paid search results typically have “sponsored” or “paid advertisement” written below them. But you can naturally drive traffic towards your site just by using the right keywords. Certain keywords will push your content, allowing it to be shown in the top results.

    Meet the Google Standards

    Google has standards which your website must fulfil prior to appearing as a #1 website in the search results. Google will flag any errors they deem needed fixed and you’re going to want to fix them, for example, broken links. If you don’t meet the standards, they’ll penalize all your pages until you fix them. So, take some time out of your day and make sure your website is fully functioning.

    Content is everything

    You may invest some top dollars in the look and appeal of your site but at the end of the day, it doesn’t really matter what your site looks like. What truly matters is the content as that will drive viewers to your site. The Google search results are designed to provide users with the most relevant material on the web. If your content isn’t providing value to the viewers, your material won’t make it to #1.

    Focus on links

    Links play an important role when it comes to Google’s ranking system. The way Google works is that it pays attention to the hyperlinks in content to figure out what keywords are tied to the link being used. Though this doesn’t mean your entire article should be made of links, if you use too many they’ll deem it as suspicious activity and your website can be taken from Google.

    Google loves mobile-friendly

    If you want to come up with a #1 site then you need to show Google that you’re updated and relevant to the current technology. In other words, you need to make your site mobile-friendly. Many users read material while on their way to work, on the bus or on their couch. So, if you’re not catering to smartphones, well, Google isn’t going to favor you.

    Lebrau, C. (2020). 6 Ways to Get on the First Page of Google, HydroShare, http://www.hydroshare.org/resource/5b487a7dc6104628b10c2b6921b595e1

  14. Data from: Journal Ranking Dataset

    • kaggle.com
    Updated Aug 15, 2023
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    Abir (2023). Journal Ranking Dataset [Dataset]. https://www.kaggle.com/datasets/xabirhasan/journal-ranking-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 15, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Abir
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Journals & Ranking

    An academic journal or research journal is a periodical publication in which research articles relating to a particular academic discipline is published, according to Wikipedia. Currently, there are more than 25,000 peer-reviewed journals that are indexed in citation index databases such as Scopus and Web of Science. These indexes are ranked on the basis of various metrics such as CiteScore, H-index, etc. The metrics are calculated from yearly citation data of the journal. A lot of efforts are given to make a metric that reflects the journal's quality.

    Journal Ranking Dataset

    This is a comprehensive dataset on the academic journals coving their metadata information as well as citation, metrics, and ranking information. Detailed data on their subject area is also given in this dataset. The dataset is collected from the following indexing databases: - Scimago Journal Ranking - Scopus - Web of Science Master Journal List

    The data is collected by scraping and then it was cleaned, details of which can be found in HERE.

    Key Features

    • Rank: Overall rank of journal (derived from sorted SJR index).
    • Title: Name or title of journal.
    • OA: Open Access or not.
    • Country: Country of origin.
    • SJR-index: A citation index calculated by Scimago.
    • CiteScore: A citation index calculated by Scopus.
    • H-index: Hirsh index, the largest number h such that at least h articles in that journal were cited at least h times each.
    • Best Quartile: Top Q-index or quartile a journal has in any subject area.
    • Best Categories: Subject areas with top quartile.
    • Best Subject Area: Highest ranking subject area.
    • Best Subject Rank: Rank of the highest ranking subject area.
    • Total Docs.: Total number of documents of the journal.
    • Total Docs. 3y: Total number of documents in the past 3 years.
    • Total Refs.: Total number of references of the journal.
    • Total Cites 3y: Total number of citations in the past 3 years.
    • Citable Docs. 3y: Total number of citable documents in the past 3 years.
    • Cites/Doc. 2y: Total number of citations divided by the total number of documents in the past 2 years.
    • Refs./Doc.: Total number of references divided by the total number of documents.
    • Publisher: Name of the publisher company of the journal.
    • Core Collection: Web of Science core collection name.
    • Coverage: Starting year of coverage.
    • Active: Active or inactive.
    • In-Press: Articles in press or not.
    • ISO Language Code: Three-letter ISO 639 code for language.
    • ASJC Codes: All Science Journal Classification codes for the journal.

    Rest of the features provide further details on the journal's subject area or category: - Life Sciences: Top level subject area. - Social Sciences: Top level subject area. - Physical Sciences: Top level subject area. - Health Sciences: Top level subject area. - 1000 General: ASJC main category. - 1100 Agricultural and Biological Sciences: ASJC main category. - 1200 Arts and Humanities: ASJC main category. - 1300 Biochemistry, Genetics and Molecular Biology: ASJC main category. - 1400 Business, Management and Accounting: ASJC main category. - 1500 Chemical Engineering: ASJC main category. - 1600 Chemistry: ASJC main category. - 1700 Computer Science: ASJC main category. - 1800 Decision Sciences: ASJC main category. - 1900 Earth and Planetary Sciences: ASJC main category. - 2000 Economics, Econometrics and Finance: ASJC main category. - 2100 Energy: ASJC main category. - 2200 Engineering: ASJC main category. - 2300 Environmental Science: ASJC main category. - 2400 Immunology and Microbiology: ASJC main category. - 2500 Materials Science: ASJC main category. - 2600 Mathematics: ASJC main category. - 2700 Medicine: ASJC main category. - 2800 Neuroscience: ASJC main category. - 2900 Nursing: ASJC main category. - 3000 Pharmacology, Toxicology and Pharmaceutics: ASJC main category. - 3100 Physics and Astronomy: ASJC main category. - 3200 Psychology: ASJC main category. - 3300 Social Sciences: ASJC main category. - 3400 Veterinary: ASJC main category. - 3500 Dentistry: ASJC main category. - 3600 Health Professions: ASJC main category.

  15. c

    (To be retired) Cleanup Sites in Washington State

    • s.cnmilf.com
    • datasets.ai
    Updated Oct 4, 2024
    + more versions
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    data.wa.gov (2024). (To be retired) Cleanup Sites in Washington State [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/cleanup-sites-in-washington-state
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    Dataset updated
    Oct 4, 2024
    Dataset provided by
    data.wa.gov
    Area covered
    Washington
    Description

    This is a list of cleanup sites in Washington State. It includes sites and associated websites. It includes _location data, Cleanup Status, Site Rank – if the site is ranked, and if the site has an Environmental Covenant. Over half the cleanup sites have a status of “No Further Action Required/Decision” or NFA. If a site has a NFA it includes the latest NFA date and NFA reason. The Washington Department of Ecology (Toxics Cleanup Program) works to clean up contaminated sites/properties throughout the state of Washington. This data was downloaded from the Integrated Site Information System (ISIS) database and is monthly.

  16. Serpstat: Website Data API | Unlock Key SEO Metrics | Industry Insights |...

    • datarade.ai
    .json
    Updated Sep 22, 2023
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    Serpstat (2023). Serpstat: Website Data API | Unlock Key SEO Metrics | Industry Insights | Competitor Analysis [Dataset]. https://datarade.ai/data-products/serpstat-seo-domain-data-serp-positions-seo-metrics-230-c-serpstat
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    .jsonAvailable download formats
    Dataset updated
    Sep 22, 2023
    Dataset authored and provided by
    Serpstat
    Area covered
    Tunisia, Venezuela (Bolivarian Republic of), Spain, Congo (Democratic Republic of the), Papua New Guinea, Uruguay, Virgin Islands (U.S.), Nauru, Sint Maarten (Dutch part), Zimbabwe
    Description

    Experience the power of Serpstat's Website Data API, offering comprehensive insights into key SEO metrics, organic traffic estimation, and semantical structure analysis. With our API, unlock valuable data to identify top-performing industry players, analyze competitor strategies, and optimize content for maximum impact.

    Unveil essential SEO metrics such as website visibility, organic traffic estimation, and keywords that websites rank for organically. Additionally, gain insights into keywords that websites are shown in Google Ads, providing valuable intelligence for ad targeting and optimization.

    Utilize our API to uncover top-performing content in any industry, enabling you to identify trends, understand user intent, and refine your content strategy accordingly.

    Benefit from the most cost-effective API solution, starting at just $120 per million rows. Tailor your queries to extract the most relevant data for your specific use-cases, ensuring that you're equipped with the insights necessary to thrive in today's competitive digital landscape.

  17. D

    Superfund Sites

    • data.wa.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Jul 23, 2019
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    Washington State Department of Ecology (2019). Superfund Sites [Dataset]. https://data.wa.gov/w/23d3-v4ba/mncn-zj8q?cur=nnugyJbiQHR
    Explore at:
    csv, tsv, application/rdfxml, application/rssxml, json, xmlAvailable download formats
    Dataset updated
    Jul 23, 2019
    Authors
    Washington State Department of Ecology
    Description

    This is a list of cleanup sites in Washington State. It includes sites and associated websites. It includes location data, Cleanup Status, Site Rank – if the site is ranked, and if the site has an Environmental Covenant.

    Over half the cleanup sites have a status of “No Further Action Required/Decision” or NFA. If a site has a NFA it includes the latest NFA date and NFA reason.

    The Washington Department of Ecology (Toxics Cleanup Program) works to clean up contaminated sites/properties throughout the state of Washington. This data was downloaded from the Integrated Site Information System (ISIS) database and is monthly.

  18. Most linked to websites worldwide 2024

    • statista.com
    Updated Dec 4, 2024
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    Statista (2024). Most linked to websites worldwide 2024 [Dataset]. https://www.statista.com/statistics/268236/most-linked-websites/
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    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    Worldwide
    Description

    Google.com continues to dominate the digital landscape, ranking as the most linked-to website worldwide with 468,745 referring subnets as of December 2024. Facebook.com follows closely in second place with 470,479 referring subnets, while YouTube.com ranked third with 417,827.

  19. K

    Keyword Rank Tracking Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 16, 2025
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    Archive Market Research (2025). Keyword Rank Tracking Software Report [Dataset]. https://www.archivemarketresearch.com/reports/keyword-rank-tracking-software-30492
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Feb 16, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The keyword rank tracking software market is anticipated to witness exponential growth, with a market size valued at XXX million in 2025 and projected to reach XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. The growing demand for comprehensive solutions to monitor and improve search engine rankings, coupled with the increasing adoption of digital marketing strategies, is driving market expansion. Additionally, the advent of cloud-based platforms and advancements in artificial intelligence (AI) are further fueling market growth. Market segmentation plays a crucial role in understanding the dynamics of the keyword rank tracking software market. The market is segmented based on application (SMEs, Large Enterprises), type (Cloud-based, On-premises), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). Key players in the market include SE Ranking, SERPWatcher by Mangools, Nightwatch, SEMrush, Wincher, SEO PowerSuite, Advanced Web Ranking, AccuRanker, Authority Labs, Serpstat, Labrika, Google Search Console, Whitespark, Rank Tracker, Raven Tools, Morningscore, RankWatch, Keyword Revealer, WebCEO, SpyFu, Diib, and many others. These companies are constantly innovating and expanding their offerings to cater to the evolving needs of businesses seeking to enhance their online visibility.

  20. H

    Buy Guest Post on Zeenews.india

    • dataverse.harvard.edu
    Updated Jan 26, 2022
    + more versions
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    Harvard Dataverse (2022). Buy Guest Post on Zeenews.india [Dataset]. http://doi.org/10.7910/DVN/FU7YI7
    Explore at:
    Dataset updated
    Jan 26, 2022
    Dataset provided by
    Harvard Dataverse
    License

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

    Description

    What is a high quality website? Over the years the whole SEO industry is talking about the need of producing high quality content and top experts came up with the clever quote ‘Content is king’, meaning that content is the success factor of any website. While this is true, does it mean that a website with good content is also a high quality website? The answer is NO. Good content is not enough. It is one of the factors (the most important) that separates low from high quality sites but good content alone does not complete the puzzle of what is considered by Google as a high quality website. Now you can get the high quality on high quality sites like Nytimes, Forbes etc. You can also buy Zeenews.india guest Post at a reasonable price from the best guest post service. What is SEO SEO is short for ‘Search Engine Optimization’. It refers to the process of increasing a websites traffic flow by optimizing several aspects of a website; such as your on-page SEO, technical SEO & off-site SEO,. Your SEO strategy should ideally be planned around your content strategy. For this you will require three elements, 1.) keywords, 2.) links and 3.) substance to piece your content strategy together. Guest Post on High quality sites can improve your SEO ranking. To improve ranking and boost ranking, buy Guest Post on Zeenews.india from the high quality guest post service. Characteristics of a high quality website A high quality website has the following characteristics: Unique content Content is unique both within the website itself (i.e. each page has unique content and not similar to other pages), but also compared to other websites. Demonstrate Expertise Content is produced by experts based on research and or experience. If for example the subject is health related, then the advice should be provided by qualified authors who can professionally give advice for the particular subject. Unbiased content Content is detail and describes both sides of a story and is not promoting a single product, idea or service. Accessibility A high quality website has versions for non PC users as well. It is important that mobile and tablet users can access the website without any usability issues. Usability Can the user navigate the website easily; is the website user friendly? Attention to detail Content is easy to read with images (if applicable) and free of spelling and grammar mistakes. Does it seem that the owner cares on what is published on the website or is it for the purpose of having content in order to run ads? SEO Optimized Optimizing a web site for search engines has many benefits but it is important not to overdo it. A good quality web site needs to have non-optimized content as well. This is my opinion and although some people may disagree it is a fact that over-optimization can sometimes generate the opposite results. The reason is that algorithms can sometimes interpret over-optimization as an attempt to game the system and they may take measures to prevent this from happening. Balance between content and ads It is not something bad for a website to have ads or promotions but these should not distract the users from finding the information they need. Speed A high quality website loads fast. A fast website will rank higher and create more conventions, sales and loyal readers. Social Social media changed our lives, the way we communicate but also the way we assess quality. It is expected for a good product to have good reviews, Facebook likes and Tweets. Before you make a decision to buy or not, you may examine these social factors as well. Likewise, It is also expected for a good website to be socially accepted and recognized i.e. have Facebook followers, RSS subscribers etc. User Engagement and Interaction Do users spend enough time on the site and read more than one pages before they leave? Do they interact with the content by adding comments, making suggestions, getting into conversations etc.? Better than the competition When you take a specific keyword, is your website better than your competitors? Does it deserve one of the top positions if judged without bias?

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SakshiAndhale (2024). SEO Performance Data - UrbanScape Apparel [Dataset]. https://www.kaggle.com/datasets/sakshiandhale62442/seo-performance-data-urbanscape-apparel
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SEO Performance Data - UrbanScape Apparel

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 25, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
SakshiAndhale
Description

Understanding: UrbanScape Apparel SEO Performance Final Dataset

Company: BrightWave Digital Department: Digital Marketing & SEO Team Industry: E-commerce (fashion and lifestyle products) Brand: UrbanScape Apparel

Story

BrightWave Digital is a fast-growing digital marketing agency that handles full-spectrum SEO, SEM, and content marketing for various clients. The SEO team is tasked with pushing UrbanScape Apparel, a sustainable fashion brand, to the top of the search rankings. The brand sells eco-friendly clothing and accessories aimed at environmentally conscious consumers in North America.

UrbanScape Apparel has recently expanded its product lines and introduced new collections, such as “Urban Outdoors” for hiking gear and “EcoActive” for athleisure. With increased competition in the eco-fashion market, BrightWave Digital’s SEO team must optimize UrbanScape’s site performance, monitor SEO metrics closely, and demonstrate measurable improvements in organic traffic and conversions.

Objectives

Improve rankings for high-intent keywords like "eco-friendly clothing" and "sustainable outdoor gear." Boost organic traffic from both mobile and desktop devices. Increase visibility through backlinks from high domain authority (DA) sites. Optimize Core Web Vitals to ensure the site ranks higher in Google’s search results. The dashboard data includes traffic, keyword rankings, click-through rates (CTR), and other performance metrics to track how well the SEO efforts are contributing to the brand’s growth.

Column Description

1. Date Definition: The specific day for which the data is collected. Importance: Allows tracking of daily trends and pinpointing specific dates of spikes or drops in performance.

2. Month Definition: The month corresponding to the data being analyzed. Importance: Helps in understanding monthly trends and seasonal patterns in traffic and user behavior.

3. Year Definition: The year in which the data was recorded. Importance: Essential for long-term trend analysis and year-over-year performance comparisons.

4. Quarter Definition: The fiscal quarter (Q1, Q2, Q3, Q4) for the given data. Importance: Useful for quarterly business reviews and strategy adjustments based on performance.

5. Time Of Day Definition: The specific time range (e.g., morning, afternoon, evening) when the traffic or engagement was recorded. Importance: Helps in understanding peak traffic times and optimizing content publishing schedules.

6. Primary Keywords Definition: The main keywords targeted for SEO, typically with high search volume and relevance to the brand. Importance: Crucial for understanding the focus of the SEO strategy and the effectiveness of ranking for these terms.

7. Secondary Keywords Definition: Additional keywords that complement primary keywords, often with lower competition and specific niches. Importance: Provides insights into secondary areas of focus that can still drive significant traffic and conversions.

8. Long-Tail Keywords Definition: More specific keyword phrases usually consisting of three or more words, targeting niche search queries. Importance: Important for attracting highly targeted traffic and often associated with higher conversion rates.

9. Location Definition: Geographic region from where the traffic is coming. Importance: Helps in understanding regional performance and tailoring content or promotions to specific markets.

10. Social Media Source Definition: The social media platform (e.g., Instagram, Pinterest) from which traffic is referred to the site. Importance: Measures the impact of social media channels on website traffic and engagement.

11. Media Type Definition: The format of the media content (e.g., image, video, article) driving traffic. Importance: Analyzes which media types resonate best with the audience and contribute to higher engagement.

12. Device Type Definition: The type of device used by visitors (e.g., mobile, desktop, tablet) to access the website. Importance: Essential for optimizing user experience across different devices and identifying potential issues.

13. Organic Traffic Definition: The number of visitors coming to the site through unpaid search results. Importance: Shows how well the site is performing in attracting users through SEO efforts without relying on paid advertising.

14. Keywords Ranking Definition: The position of targeted keywords in search engine results pages (SERPs). Importance: Indicates the effectiveness of SEO strategies in improving keyword visibility and competitiveness.

15. Clicks Definition: The number of times users click on the site’s links from search results. Importance: Reflects user interest and relevance of the search snippets or ads shown to users.

16. Impressions Definition: The number of times a site appears in search results for a specific keyword. Importance: High impressions with low clicks may indicate the need to improve titles or meta descriptions.

17. CTR (%) Definition: Click-through rate, calculated as the percentage of clicks out of total impressions. Importance: A key metric to measure how effectively a site’s listings attract clicks from search results.

18. Average Position Definition: The average rank of a site’s pages in search engine results for targeted keywords. Importance: Helps in assessing overall keyword performance and the effectiveness of SEO efforts.

19. Backlinks Definition: The number of inbound links from other websites pointing to the site. Importance: An important factor in SEO that contributes to domain authority and search rankings.

20. Domain Authority Definition: A score (typically out of 100) that predicts how well a site will rank in search results. Importance: Higher domain authority can lead to better ranking potential and improved SEO performance.

21. Bounce Rate (%) Definition: The percentage of visitors who leave the site after viewing only one page. Importance: Indicates the effectiveness of landing pages and user engagement. High bounce rates may signal issues with page content or usability.

22. Pages per Session Definition: The average number of pages a visitor views during a single session on the site. Importance: Higher values suggest better user engagement and content relevance.

23. Organic vs Paid Traffic Split (%) Definition: The proportion of visitors coming from organic search versus paid ads. Importance: Provides insights into the reliance on paid search and the effectiveness of organic SEO strategies.

24. Organic Traffic Growth Rate (%) Definition: The percentage increase or decrease in organic traffic over a specified period. Importance: A key metric to measure the success of SEO efforts in driving more organic visitors.

25. Conversion Rate (%) Definition: The percentage of site visitors who complete a desired action (e.g., purchase, sign-up). Importance: Indicates the effectiveness of the site in converting visitors into customers or leads.

26. Goal Completions Definition: The total number of times predefined goals (e.g., form submissions, purchases) are completed on the site. Importance: Measures the achievement of business objectives and site performance in driving desired actions.

27. Average Session Duration (sec) Definition: The average amount of time a user spends on the site in a single session. Importance: Indicates how engaging the site content is and whether it meets user expectations.

28. New vs Returning Visitors (%) Definition: The ratio of first-time visitors to returning visitors. Importance: Helps in understanding audience loyalty and the effectiveness of retention strategies.

29. Exit Rate (%) Definition: The percentage of users who leave the site from a particular page. Importance: Highlights which pages may be causing users to leave the site, signaling a need for improvement.

30. Top Landing Pages Definition: The pages on the site that receive the most traffic as entry points. Importance: Identifies high-performing pages and potential areas for optimization.

31. Keyword Difficulty Definition: A score indicating how hard it is to rank for a specific keyword based on competition and search volume. Importance: Helps prioritize keyword targeting and SEO efforts based on competitiveness.

32. CPC for Paid Keywords ($) Definition: The average cost-per-click for the site’s paid keywords. Importance: Helps in budgeting for paid campaigns and understanding the financial impact of targeting high-value keywords.

33. Indexed Pages Definition: The number of pages from the site indexed by search engines. Importance: A larger number of indexed pages can increase the site’s visibility and the potential for ranking for multiple keywords.

34. Mobile vs Desktop Traffic Split (%) Definition: The proportion of traffic coming from mobile devices versus desktop devices. Importance: Essential for optimizing user experience and site performance across different devices.

35. Organic Revenue ($) Definition: The revenue generated from organic search traffic. Importance: Directly correlates SEO performance to business outcomes and financial success.

36. Page Load Time (sec) Definition: The average time it takes for a page to fully load. Importance: A critical factor in user experience and SEO, as slower load times can lead to higher bounce rates and lower rankings.

37. Core Web Vitals - LCP (sec) Definition: Largest Contentful Paint, measures loading performance and time taken for the largest content element to be visible. Importance: A key metric for evaluating page speed and user experience.

38. Core Web Vitals - FID (ms) Definition: First Input Delay, measures the time it takes for a page to become interactive. Importance: Important for assessing interactivity and responsiveness, impacting user experience.

39. Core Web Vitals - CLS