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50 Things You Should Know About Tumblr

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2 years ago

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50 Things You Should Know About Tumblr

Tumblr is one of those social media platforms that everyone has heard of, but few know anything about.

While many may not know exactly what it is, Tumblr is one of the most popular blogging platforms. You should check out the platform if you haven’t heard of it before.

Regarding personal branding, Tumblr offers some unique advantages to bloggers and businesses alike.

For example, the platform can help showcase their creativity or build an audience through quality content and customization options.

In this article, we’ll discuss what Tumblr is and take a look at the top features and benefits of using Tumblr, from writing tutorials to creating podcasts.

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What Is Tumblr?

Tumblr is a microblogging platform for sharing photos, music, video, links, quotes, GIFs, text, and other multimedia. The site also has a “Reactions” feature, which allows users to express their feelings about something posted on the website.

Unlike other platforms, Tumblr profiles are highly customizable. Brands can customize their theme, layout, colors, fonts, and more. Users can also follow each other’s updates and create custom RSS feeds based on their interests.

Creating an account on Tumblr is free and easy to set up. All posts on Tumblr are public, and all users have the option to follow you. There are no private profile options like on Instagram and Facebook.

Users can create different widgets for their profiles.

Tumblr has become more prominent with its free mobile app, rich API, custom design tools, and vibrant community.

50 Tumblr Facts And Statistics

  1. Tumblr started in 2007 as a blogging platform that allowed users to share photos, videos, text posts, and more.
  2. The service gained popularity after being acquired by Yahoo! in 2013 for $1.1 billion.
  3. From 2017 to 2019, Oath took over ownership of the platform before being bought by Verizon Media.
  4. In 2019, ownership transferred again to Automattic, a parent company of WordPress that retains ownership today.
  5. Tumblr is headquartered in San Francisco, California.
  6. There are 2,437 employees at Tumblr.
  7. Out of their employees, 57% are women.
  8. Most employees who work at Tumblr stay with the company for an average of 5.3 years.
  9. Over 556 million blogs are hosted on Tumblr.
  10. Many celebrities and influencers post on Tumblr, but the platform doesn’t use the same blue check verified symbol you see on Instagram and Twitter.
  11. The annual revenue for Tumblr is between $75-100 million.
  12. Tumblr has hundreds of partners and thousands of commissioned artwork.
  13. There are over 171 billion posts on Tumblr today.
  14. People can post on Tumblr in 18 different languages.
  15. Even though they have been around for a while, 61% of new Tumblr users are Gen Z, and 48% of their active users are Gen Z.
  16. Tumblr is the third most popular blogging platform in the U.S., Canada, and the U.K.
  17. And the third most popular blogging platform on the internet altogether.
  18. 45.94% of the traffic on Tumblr stems from the U.S.
  19. For those new to Tumblr, they offer a guide on how to get started posting.
  20. The trending topics on Tumblr are diverse, just like any other site, from Legend of Zelda to U.K. politics.
  21. Regarding interest categories, most people discuss video games, consoles, and accessories. They also discuss computers, electronics, news, and topics regarding universities.
  22. Some of Tumblr’s top competitors include Twitter, Pinterest, and Instagram.
  23. There are numerous advertisement opportunities on Tumblr, including native ad experiences and custom opportunities.
  24. Tumblr is a privately owned company.
  25. In a recent survey, 70% of users stated that they were satisfied by the functionality of Tumblr. The top two rankings above this were Pinterest and YouTube, with a 76% customer satisfaction rating.
  26. Tumblr has 135 million monthly active users.
  27. Earlier this year, there was an uptick in visitations to Tumblr, with 291.7 million visits in May.
  28. Tumblr prides itself on being an inclusive space for everyone to share its views stating, “Tumblr is whatever you want it to be.”
  29. On top of the ability to post daily blogs, Tumblr also offers a liveblog function so users can blog as events or things happen in real-time.
  30. Most people (69%) use Tumblr on their mobile devices, and 31% use the platform on the web.
  31. In a recent survey, when social networks were ranked by brand awareness in the U.S., 58% of people recognized the platform.
  32. The top quantity of users visiting the web is U.S.-based at 46.37%.
  33. This is followed by the United Kingdom and Canada users on the web at 5.94% and 5.07%, respectively.
  34. Australia follows this at 3.2% and then Germany at 3.1%.
  35. In 2018, Tumblr banned adult content on its platform, a polarizing move.
  36. Mashable suggests that “Fandom’s homeland is Tumblr.”
  37. And The Verge states that “The things that happen on Tumblr are utterly unique to any other social platform.”
  38. There are around 9.7 million daily posts on Tumblr.
  39. The demographics for top Tumblr users break down to 33.04% from ages 18-25, 31.44% from 25-34, and 16.10% between 35-44 years old.
  40. Of these users, 41.41% identify as female, and 58.59% identify as male.
  41. Tumble has a bounce rate of 42.67%.
  42. Like other platforms like Facebook, users can like and repost content.
  43. You can create custom HTML themes on Tumblr.
  44. There is also a Mass Post Editor function on Tumblr, allowing users to edit or delete multiple posts simultaneously.
  45. Users can easily add inline images from the web to their posts by pasting the image’s URL into the post.
  46. Tumblr also has keyboard shortcut options which make it easier to create posts.
  47. Some of Tumblr’s top competitors include Ghost, Hexo, and Medium.
  48. There are over 2,000 posts created every second on Tumblr.
  49. Regarding traffic leading back to Tumblr, 28.48% of that traffic comes from Twitter, and 20.25% comes from YouTube.
  50. On average, users visit 6.47 pages when they use the platform.

Final Takeaways

Tumblr is an online community where anyone can create compelling and unique content.

As you can see, it is also highly customizable, allowing users and brands to create their ideal profiles. It’s also a great space to find and cultivate new audiences.

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There are almost endless possibilities with the platform, and it’s worth checking out to see if it’s right for your brand.

If you’re looking to integrate more blogging options and are considering incorporating Tumblr, check out this post.

More Resources:

Featured Image: Lenka Horavova/Shutterstock



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How Compression Can Be Used To Detect Low Quality Pages

Published

6 days ago

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October 27, 2024

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Compression can be used by search engines to detect low-quality pages. Although not widely known, it's useful foundational knowledge for SEO.

The concept of Compressibility as a quality signal is not widely known, but SEOs should be aware of it. Search engines can use web page compressibility to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords, making it useful knowledge for SEO.

Although the following research paper demonstrates a successful use of on-page features for detecting spam, the deliberate lack of transparency by search engines makes it difficult to say with certainty if search engines are applying this or similar techniques.

What Is Compressibility?

In computing, compressibility refers to how much a file (data) can be reduced in size while retaining essential information, typically to maximize storage space or to allow more data to be transmitted over the Internet.

TL/DR Of Compression

Compression replaces repeated words and phrases with shorter references, reducing the file size by significant margins. Search engines typically compress indexed web pages to maximize storage space, reduce bandwidth, and improve retrieval speed, among other reasons.

This is a simplified explanation of how compression works:

  • Identify Patterns:
    A compression algorithm scans the text to find repeated words, patterns and phrases
  • Shorter Codes Take Up Less Space:
    The codes and symbols use less storage space then the original words and phrases, which results in a smaller file size.
  • Shorter References Use Less Bits:
    The “code” that essentially symbolizes the replaced words and phrases uses less data than the originals.

A bonus effect of using compression is that it can also be used to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords.

Research Paper About Detecting Spam

This research paper is significant because it was authored by distinguished computer scientists known for breakthroughs in AI, distributed computing, information retrieval, and other fields.

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Marc Najork

One of the co-authors of the research paper is Marc Najork, a prominent research scientist who currently holds the title of Distinguished Research Scientist at Google DeepMind. He’s a co-author of the papers for TW-BERT, has contributed research for increasing the accuracy of using implicit user feedback like clicks, and worked on creating improved AI-based information retrieval (DSI++: Updating Transformer Memory with New Documents), among many other major breakthroughs in information retrieval.

Dennis Fetterly

Another of the co-authors is Dennis Fetterly, currently a software engineer at Google. He is listed as a co-inventor in a patent for a ranking algorithm that uses links, and is known for his research in distributed computing and information retrieval.

Those are just two of the distinguished researchers listed as co-authors of the 2006 Microsoft research paper about identifying spam through on-page content features. Among the several on-page content features the research paper analyzes is compressibility, which they discovered can be used as a classifier for indicating that a web page is spammy.

Detecting Spam Web Pages Through Content Analysis

Although the research paper was authored in 2006, its findings remain relevant to today.

Then, as now, people attempted to rank hundreds or thousands of location-based web pages that were essentially duplicate content aside from city, region, or state names. Then, as now, SEOs often created web pages for search engines by excessively repeating keywords within titles, meta descriptions, headings, internal anchor text, and within the content to improve rankings.

Section 4.6 of the research paper explains:

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“Some search engines give higher weight to pages containing the query keywords several times. For example, for a given query term, a page that contains it ten times may be higher ranked than a page that contains it only once. To take advantage of such engines, some spam pages replicate their content several times in an attempt to rank higher.”

The research paper explains that search engines compress web pages and use the compressed version to reference the original web page. They note that excessive amounts of redundant words results in a higher level of compressibility. So they set about testing if there’s a correlation between a high level of compressibility and spam.

They write:

“Our approach in this section to locating redundant content within a page is to compress the page; to save space and disk time, search engines often compress web pages after indexing them, but before adding them to a page cache.

…We measure the redundancy of web pages by the compression ratio, the size of the uncompressed page divided by the size of the compressed page. We used GZIP …to compress pages, a fast and effective compression algorithm.”

High Compressibility Correlates To Spam

The results of the research showed that web pages with at least a compression ratio of 4.0 tended to be low quality web pages, spam. However, the highest rates of compressibility became less consistent because there were fewer data points, making it harder to interpret.

Figure 9: Prevalence of spam relative to compressibility of page.

The researchers concluded:

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“70% of all sampled pages with a compression ratio of at least 4.0 were judged to be spam.”

But they also discovered that using the compression ratio by itself still resulted in false positives, where non-spam pages were incorrectly identified as spam:

“The compression ratio heuristic described in Section 4.6 fared best, correctly identifying 660 (27.9%) of the spam pages in our collection, while misidentifying 2, 068 (12.0%) of all judged pages.

Using all of the aforementioned features, the classification accuracy after the ten-fold cross validation process is encouraging:

95.4% of our judged pages were classified correctly, while 4.6% were classified incorrectly.

More specifically, for the spam class 1, 940 out of the 2, 364 pages, were classified correctly. For the non-spam class, 14, 440 out of the 14,804 pages were classified correctly. Consequently, 788 pages were classified incorrectly.”

The next section describes an interesting discovery about how to increase the accuracy of using on-page signals for identifying spam.

Insight Into Quality Rankings

The research paper examined multiple on-page signals, including compressibility. They discovered that each individual signal (classifier) was able to find some spam but that relying on any one signal on its own resulted in flagging non-spam pages for spam, which are commonly referred to as false positive.

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The researchers made an important discovery that everyone interested in SEO should know, which is that using multiple classifiers increased the accuracy of detecting spam and decreased the likelihood of false positives. Just as important, the compressibility signal only identifies one kind of spam but not the full range of spam.

The takeaway is that compressibility is a good way to identify one kind of spam but there are other kinds of spam that aren’t caught with this one signal. Other kinds of spam were not caught with the compressibility signal.

This is the part that every SEO and publisher should be aware of:

“In the previous section, we presented a number of heuristics for assaying spam web pages. That is, we measured several characteristics of web pages, and found ranges of those characteristics which correlated with a page being spam. Nevertheless, when used individually, no technique uncovers most of the spam in our data set without flagging many non-spam pages as spam.

For example, considering the compression ratio heuristic described in Section 4.6, one of our most promising methods, the average probability of spam for ratios of 4.2 and higher is 72%. But only about 1.5% of all pages fall in this range. This number is far below the 13.8% of spam pages that we identified in our data set.”

So, even though compressibility was one of the better signals for identifying spam, it still was unable to uncover the full range of spam within the dataset the researchers used to test the signals.

Combining Multiple Signals

The above results indicated that individual signals of low quality are less accurate. So they tested using multiple signals. What they discovered was that combining multiple on-page signals for detecting spam resulted in a better accuracy rate with less pages misclassified as spam.

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The researchers explained that they tested the use of multiple signals:

“One way of combining our heuristic methods is to view the spam detection problem as a classification problem. In this case, we want to create a classification model (or classifier) which, given a web page, will use the page’s features jointly in order to (correctly, we hope) classify it in one of two classes: spam and non-spam.”

These are their conclusions about using multiple signals:

“We have studied various aspects of content-based spam on the web using a real-world data set from the MSNSearch crawler. We have presented a number of heuristic methods for detecting content based spam. Some of our spam detection methods are more effective than others, however when used in isolation our methods may not identify all of the spam pages. For this reason, we combined our spam-detection methods to create a highly accurate C4.5 classifier. Our classifier can correctly identify 86.2% of all spam pages, while flagging very few legitimate pages as spam.”

Key Insight:

Misidentifying “very few legitimate pages as spam” was a significant breakthrough. The important insight that everyone involved with SEO should take away from this is that one signal by itself can result in false positives. Using multiple signals increases the accuracy.

What this means is that SEO tests of isolated ranking or quality signals will not yield reliable results that can be trusted for making strategy or business decisions.

Takeaways

We don’t know for certain if compressibility is used at the search engines but it’s an easy to use signal that combined with others could be used to catch simple kinds of spam like thousands of city name doorway pages with similar content. Yet even if the search engines don’t use this signal, it does show how easy it is to catch that kind of search engine manipulation and that it’s something search engines are well able to handle today.

Here are the key points of this article to keep in mind:

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  • Doorway pages with duplicate content is easy to catch because they compress at a higher ratio than normal web pages.
  • Groups of web pages with a compression ratio above 4.0 were predominantly spam.
  • Negative quality signals used by themselves to catch spam can lead to false positives.
  • In this particular test, they discovered that on-page negative quality signals only catch specific types of spam.
  • When used alone, the compressibility signal only catches redundancy-type spam, fails to detect other forms of spam, and leads to false positives.
  • Combing quality signals improves spam detection accuracy and reduces false positives.
  • Search engines today have a higher accuracy of spam detection with the use of AI like Spam Brain.

Read the research paper, which is linked from the Google Scholar page of Marc Najork:

Detecting spam web pages through content analysis

Featured Image by Shutterstock/pathdoc

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New Google Trends SEO Documentation

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6 days ago

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October 27, 2024

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Google publishes new documentation for how to use Google Trends for search marketing

Google Search Central published new documentation on Google Trends, explaining how to use it for search marketing. This guide serves as an easy to understand introduction for newcomers and a helpful refresher for experienced search marketers and publishers.

The new guide has six sections:

  1. About Google Trends
  2. Tutorial on monitoring trends
  3. How to do keyword research with the tool
  4. How to prioritize content with Trends data
  5. How to use Google Trends for competitor research
  6. How to use Google Trends for analyzing brand awareness and sentiment

The section about monitoring trends advises there are two kinds of rising trends, general and specific trends, which can be useful for developing content to publish on a site.

Using the Explore tool, you can leave the search box empty and view the current rising trends worldwide or use a drop down menu to focus on trends in a specific country. Users can further filter rising trends by time periods, categories and the type of search. The results show rising trends by topic and by keywords.

To search for specific trends users just need to enter the specific queries and then filter them by country, time, categories and type of search.

The section called Content Calendar describes how to use Google Trends to understand which content topics to prioritize.

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Google explains:

“Google Trends can be helpful not only to get ideas on what to write, but also to prioritize when to publish it. To help you better prioritize which topics to focus on, try to find seasonal trends in the data. With that information, you can plan ahead to have high quality content available on your site a little before people are searching for it, so that when they do, your content is ready for them.”

Read the new Google Trends documentation:

Get started with Google Trends

Featured Image by Shutterstock/Luis Molinero

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All the best things about Ahrefs Evolve 2024

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1 week ago

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October 25, 2024

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All the best things about Ahrefs Evolve 2024

Hey all, I’m Rebekah and I am your Chosen One to “do a blog post for Ahrefs Evolve 2024”.

What does that entail exactly? I don’t know. In fact, Sam Oh asked me yesterday what the title of this post would be. “Is it like…Ahrefs Evolve 2024: Recap of day 1 and day 2…?” 

Even as I nodded, I couldn’t get over how absolutely boring that sounded. So I’m going to do THIS instead: a curation of all the best things YOU loved about Ahrefs’ first conference, lifted directly from X.

Let’s go!

OUR HUGE SCREEN

CONFERENCE VENUE ITSELF

It was recently named the best new skyscraper in the world, by the way.

 

OUR AMAZING SPEAKER LINEUP – SUPER INFORMATIVE, USEFUL TALKS!

 

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GREAT MUSIC

 

AMAZING GOODIES

 

SELFIE BATTLE

Some background: Tim and Sam have a challenge going on to see who can take the most number of selfies with all of you. Last I heard, Sam was winning – but there is room for a comeback yet!

 

THAT BELL

Everybody’s just waiting for this one.

 

STICKER WALL

AND, OF COURSE…ALL OF YOU!

 

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–

There’s a TON more content on LinkedIn – click here – but I have limited time to get this post up and can’t quite figure out how to embed LinkedIn posts so…let’s stop here for now. I’ll keep updating as we go along!



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