SEO
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.
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
- Tumblr started in 2007 as a blogging platform that allowed users to share photos, videos, text posts, and more.
- The service gained popularity after being acquired by Yahoo! in 2013 for $1.1 billion.
- From 2017 to 2019, Oath took over ownership of the platform before being bought by Verizon Media.
- In 2019, ownership transferred again to Automattic, a parent company of WordPress that retains ownership today.
- Tumblr is headquartered in San Francisco, California.
- There are 2,437 employees at Tumblr.
- Out of their employees, 57% are women.
- Most employees who work at Tumblr stay with the company for an average of 5.3 years.
- Over 556 million blogs are hosted on Tumblr.
- 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.
- The annual revenue for Tumblr is between $75-100 million.
- Tumblr has hundreds of partners and thousands of commissioned artwork.
- There are over 171 billion posts on Tumblr today.
- People can post on Tumblr in 18 different languages.
- 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.
- Tumblr is the third most popular blogging platform in the U.S., Canada, and the U.K.
- And the third most popular blogging platform on the internet altogether.
- 45.94% of the traffic on Tumblr stems from the U.S.
- For those new to Tumblr, they offer a guide on how to get started posting.
- The trending topics on Tumblr are diverse, just like any other site, from Legend of Zelda to U.K. politics.
- Regarding interest categories, most people discuss video games, consoles, and accessories. They also discuss computers, electronics, news, and topics regarding universities.
- Some of Tumblr’s top competitors include Twitter, Pinterest, and Instagram.
- There are numerous advertisement opportunities on Tumblr, including native ad experiences and custom opportunities.
- Tumblr is a privately owned company.
- 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.
- Tumblr has 135 million monthly active users.
- Earlier this year, there was an uptick in visitations to Tumblr, with 291.7 million visits in May.
- Tumblr prides itself on being an inclusive space for everyone to share its views stating, “Tumblr is whatever you want it to be.”
- 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.
- Most people (69%) use Tumblr on their mobile devices, and 31% use the platform on the web.
- In a recent survey, when social networks were ranked by brand awareness in the U.S., 58% of people recognized the platform.
- The top quantity of users visiting the web is U.S.-based at 46.37%.
- This is followed by the United Kingdom and Canada users on the web at 5.94% and 5.07%, respectively.
- Australia follows this at 3.2% and then Germany at 3.1%.
- In 2018, Tumblr banned adult content on its platform, a polarizing move.
- Mashable suggests that “Fandom’s homeland is Tumblr.”
- And The Verge states that “The things that happen on Tumblr are utterly unique to any other social platform.”
- There are around 9.7 million daily posts on Tumblr.
- 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.
- Of these users, 41.41% identify as female, and 58.59% identify as male.
- Tumble has a bounce rate of 42.67%.
- Like other platforms like Facebook, users can like and repost content.
- You can create custom HTML themes on Tumblr.
- There is also a Mass Post Editor function on Tumblr, allowing users to edit or delete multiple posts simultaneously.
- Users can easily add inline images from the web to their posts by pasting the image’s URL into the post.
- Tumblr also has keyboard shortcut options which make it easier to create posts.
- Some of Tumblr’s top competitors include Ghost, Hexo, and Medium.
- There are over 2,000 posts created every second on Tumblr.
- Regarding traffic leading back to Tumblr, 28.48% of that traffic comes from Twitter, and 20.25% comes from YouTube.
- 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.
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
SEO
Why Google Can’t Tell You About Every Ranking Drop
In a recent Twitter exchange, Google’s Search Liaison, Danny Sullivan, provided insight into how the search engine handles algorithmic spam actions and ranking drops.
The discussion was sparked by a website owner’s complaint about a significant traffic loss and the inability to request a manual review.
Sullivan clarified that a site could be affected by an algorithmic spam action or simply not ranking well due to other factors.
He emphasized that many sites experiencing ranking drops mistakenly attribute it to an algorithmic spam action when that may not be the case.
“I’ve looked at many sites where people have complained about losing rankings and decide they have a algorithmic spam action against them, but they don’t. “
Sullivan’s full statement will help you understand Google’s transparency challenges.
Additionally, he explains why the desire for manual review to override automated rankings may be misguided.
Two different things. A site could have an algorithmic spam action. A site could be not ranking well because other systems that *are not about spam* just don’t see it as helpful.
I’ve looked at many sites where people have complained about losing rankings and decide they have a…
— Google SearchLiaison (@searchliaison) May 13, 2024
Challenges In Transparency & Manual Intervention
Sullivan acknowledged the idea of providing more transparency in Search Console, potentially notifying site owners of algorithmic actions similar to manual actions.
However, he highlighted two key challenges:
- Revealing algorithmic spam indicators could allow bad actors to game the system.
- Algorithmic actions are not site-specific and cannot be manually lifted.
Sullivan expressed sympathy for the frustration of not knowing the cause of a traffic drop and the inability to communicate with someone about it.
However, he cautioned against the desire for a manual intervention to override the automated systems’ rankings.
Sullivan states:
“…you don’t really want to think “Oh, I just wish I had a manual action, that would be so much easier.” You really don’t want your individual site coming the attention of our spam analysts. First, it’s not like manual actions are somehow instantly processed. Second, it’s just something we know about a site going forward, especially if it says it has change but hasn’t really.”
Determining Content Helpfulness & Reliability
Moving beyond spam, Sullivan discussed various systems that assess the helpfulness, usefulness, and reliability of individual content and sites.
He acknowledged that these systems are imperfect and some high-quality sites may not be recognized as well as they should be.
“Some of them ranking really well. But they’ve moved down a bit in small positions enough that the traffic drop is notable. They assume they have fundamental issues but don’t, really — which is why we added a whole section about this to our debugging traffic drops page.”
Sullivan revealed ongoing discussions about providing more indicators in Search Console to help creators understand their content’s performance.
“Another thing I’ve been discussing, and I’m not alone in this, is could we do more in Search Console to show some of these indicators. This is all challenging similar to all the stuff I said about spam, about how not wanting to let the systems get gamed, and also how there’s then no button we would push that’s like “actually more useful than our automated systems think — rank it better!” But maybe there’s a way we can find to share more, in a way that helps everyone and coupled with better guidance, would help creators.”
Advocacy For Small Publishers & Positive Progress
In response to a suggestion from Brandon Saltalamacchia, founder of RetroDodo, about manually reviewing “good” sites and providing guidance, Sullivan shared his thoughts on potential solutions.
He mentioned exploring ideas such as self-declaration through structured data for small publishers and learning from that information to make positive changes.
“I have some thoughts I’ve been exploring and proposing on what we might do with small publishers and self-declaring with structured data and how we might learn from that and use that in various ways. Which is getting way ahead of myself and the usual no promises but yes, I think and hope for ways to move ahead more positively.”
Sullivan said he can’t make promises or implement changes overnight, but he expressed hope for finding ways to move forward positively.
Featured Image: Tero Vesalainen/Shutterstock
SEO
56 Google Search Statistics to Bookmark for 2024
If you’re curious about the state of Google search in 2024, look no further.
Each year we pick, vet, and categorize a list of up-to-date statistics to give you insights from trusted sources on Google search trends.
Check out more resources on how Google works:
Learn more
SEO
How To Use ChatGPT For Keyword Research
Anyone not using ChatGPT for keyword research is missing a trick.
You can save time and understand an entire topic in seconds instead of hours.
In this article, I outline my most effective ChatGPT prompts for keyword research and teach you how I put them together so that you, too, can take, edit, and enhance them even further.
But before we jump into the prompts, I want to emphasize that you shouldn’t replace keyword research tools or disregard traditional keyword research methods.
ChatGPT can make mistakes. It can even create new keywords if you give it the right prompt. For example, I asked it to provide me with a unique keyword for the topic “SEO” that had never been searched before.
“Interstellar Internet SEO: Optimizing content for the theoretical concept of an interstellar internet, considering the challenges of space-time and interplanetary communication delays.”
Although I want to jump into my LinkedIn profile and update my title to “Interstellar Internet SEO Consultant,” unfortunately, no one has searched that (and they probably never will)!
You must not blindly rely on the data you get back from ChatGPT.
What you can rely on ChatGPT for is the topic ideation stage of keyword research and inspiration.
ChatGPT is a large language model trained with massive amounts of data to accurately predict what word will come next in a sentence. However, it does not know how to do keyword research yet.
Instead, think of ChatGPT as having an expert on any topic armed with the information if you ask it the right question.
In this guide, that is exactly what I aim to teach you how to do – the most essential prompts you need to know when performing topical keyword research.
Best ChatGPT Keyword Research Prompts
The following ChatGPT keyword research prompts can be used on any niche, even a topic to which you are brand new.
For this demonstration, let’s use the topic of “SEO” to demonstrate these prompts.
Generating Keyword Ideas Based On A Topic
What Are The {X} Most Popular Sub-topics Related To {Topic}?
The first prompt is to give you an idea of the niche.
As shown above, ChatGPT did a great job understanding and breaking down SEO into three pillars: on-page, off-page & technical.
The key to the following prompt is to take one of the topics ChatGPT has given and query the sub-topics.
What Are The {X} Most Popular Sub-topics Related To {Sub-topic}?
For this example, let’s query, “What are the most popular sub-topics related to keyword research?”
Having done keyword research for over 10 years, I would expect it to output information related to keyword research metrics, the types of keywords, and intent.
Let’s see.
Again, right on the money.
To get the keywords you want without having ChatGPT describe each answer, use the prompt “list without description.”
Here is an example of that.
List Without Description The Top {X} Most Popular Keywords For The Topic Of {X}
You can even branch these keywords out further into their long-tail.
Example prompt:
List Without Description The Top {X} Most Popular Long-tail Keywords For The Topic “{X}”
List Without Description The Top Semantically Related Keywords And Entities For The Topic {X}
You can even ask ChatGPT what any topic’s semantically related keywords and entities are!
Tip: The Onion Method Of Prompting ChatGPT
When you are happy with a series of prompts, add them all to one prompt. For example, so far in this article, we have asked ChatGPT the following:
- What are the four most popular sub-topics related to SEO?
- What are the four most popular sub-topics related to keyword research
- List without description the top five most popular keywords for “keyword intent”?
- List without description the top five most popular long-tail keywords for the topic “keyword intent types”?
- List without description the top semantically related keywords and entities for the topic “types of keyword intent in SEO.”
Combine all five into one prompt by telling ChatGPT to perform a series of steps. Example:
“Perform the following steps in a consecutive order Step 1, Step 2, Step 3, Step 4, and Step 5”
Example:
“Perform the following steps in a consecutive order Step 1, Step 2, Step 3, Step 4 and Step 5. Step 1 – Generate an answer for the 3 most popular sub-topics related to {Topic}?. Step 2 – Generate 3 of the most popular sub-topics related to each answer. Step 3 – Take those answers and list without description their top 3 most popular keywords. Step 4 – For the answers given of their most popular keywords, provide 3 long-tail keywords. Step 5 – for each long-tail keyword offered in the response, a list without descriptions 3 of their top semantically related keywords and entities.”
Generating Keyword Ideas Based On A Question
Taking the steps approach from above, we can get ChatGPT to help streamline getting keyword ideas based on a question. For example, let’s ask, “What is SEO?”
“Perform the following steps in a consecutive order Step 1, Step 2, Step 3, and Step 4. Step 1 Generate 10 questions about “{Question}”?. Step 2 – Generate 5 more questions about “{Question}” that do not repeat the above. Step 3 – Generate 5 more questions about “{Question}” that do not repeat the above. Step 4 – Based on the above Steps 1,2,3 suggest a final list of questions avoiding duplicates or semantically similar questions.”
Generating Keyword Ideas Using ChatGPT Based On The Alphabet Soup Method
One of my favorite methods, manually, without even using a keyword research tool, is to generate keyword research ideas from Google autocomplete, going from A to Z.
You can also do this using ChatGPT.
Example prompt:
“give me popular keywords that includes the keyword “SEO”, and the next letter of the word starts with a”
Tip: Using the onion prompting method above, we can combine all this in one prompt.
“Give me five popular keywords that include “SEO” in the word, and the following letter starts with a. Once the answer has been done, move on to giving five more popular keywords that include “SEO” for each letter of the alphabet b to z.”
Generating Keyword Ideas Based On User Personas
When it comes to keyword research, understanding user personas is essential for understanding your target audience and keeping your keyword research focused and targeted. ChatGPT may help you get an initial understanding of customer personas.
Example prompt:
“For the topic of “{Topic}” list 10 keywords each for the different types of user personas”
You could even go a step further and ask for questions based on those topics that those specific user personas may be searching for:
As well as get the keywords to target based on those questions:
“For each question listed above for each persona, list the keywords, as well as the long-tail keywords to target, and put them in a table”
Generating Keyword Ideas Using ChatGPT Based On Searcher Intent And User Personas
Understanding the keywords your target persona may be searching is the first step to effective keyword research. The next step is to understand the search intent behind those keywords and which content format may work best.
For example, a business owner who is new to SEO or has just heard about it may be searching for “what is SEO.”
However, if they are further down the funnel and in the navigational stage, they may search for “top SEO firms.”
You can query ChatGPT to inspire you here based on any topic and your target user persona.
SEO Example:
“For the topic of “{Topic}” list 10 keywords each for the different types of searcher intent that a {Target Persona} would be searching for”
ChatGPT For Keyword Research Admin
Here is how you can best use ChatGPT for keyword research admin tasks.
Using ChatGPT As A Keyword Categorization Tool
One of the use cases for using ChatGPT is for keyword categorization.
In the past, I would have had to devise spreadsheet formulas to categorize keywords or even spend hours filtering and manually categorizing keywords.
ChatGPT can be a great companion for running a short version of this for you.
Let’s say you have done keyword research in a keyword research tool, have a list of keywords, and want to categorize them.
You could use the following prompt:
“Filter the below list of keywords into categories, target persona, searcher intent, search volume and add information to a six-column table: List of keywords – [LIST OF KEYWORDS], Keyword Search Volume [SEARCH VOLUMES] and Keyword Difficulties [KEYWORD DIFFICUTIES].”
Tip: Add keyword metrics from the keyword research tools, as using the search volumes that a ChatGPT prompt may give you will be wildly inaccurate at best.
Using ChatGPT For Keyword Clustering
Another of ChatGPT’s use cases for keyword research is to help you cluster. Many keywords have the same intent, and by grouping related keywords, you may find that one piece of content can often target multiple keywords at once.
However, be careful not to rely only on LLM data for clustering. What ChatGPT may cluster as a similar keyword, the SERP or the user may not agree with. But it is a good starting point.
The big downside of using ChatGPT for keyword clustering is actually the amount of keyword data you can cluster based on the memory limits.
So, you may find a keyword clustering tool or script that is better for large keyword clustering tasks. But for small amounts of keywords, ChatGPT is actually quite good.
A great use small keyword clustering use case using ChatGPT is for grouping People Also Ask (PAA) questions.
Use the following prompt to group keywords based on their semantic relationships. For example:
“Organize the following keywords into groups based on their semantic relationships, and give a short name to each group: [LIST OF PAA], create a two-column table where each keyword sits on its own row.
Using Chat GPT For Keyword Expansion By Patterns
One of my favorite methods of doing keyword research is pattern spotting.
Most seed keywords have a variable that can expand your target keywords.
Here are a few examples of patterns:
1. Question Patterns
(who, what, where, why, how, are, can, do, does, will)
“Generate [X] keywords for the topic “[Topic]” that contain any or all of the following “who, what, where, why, how, are, can, do, does, will”
2. Comparison Patterns
Example:
“Generate 50 keywords for the topic “{Topic}” that contain any or all of the following “for, vs, alternative, best, top, review”
3. Brand Patterns
Another one of my favorite modifiers is a keyword by brand.
We are probably all familiar with the most popular SEO brands; however, if you aren’t, you could ask your AI friend to do the heavy lifting.
Example prompt:
“For the top {Topic} brands what are the top “vs” keywords”
4. Search Intent Patterns
One of the most common search intent patterns is “best.”
When someone is searching for a “best {topic}” keyword, they are generally searching for a comprehensive list or guide that highlights the top options, products, or services within that specific topic, along with their features, benefits, and potential drawbacks, to make an informed decision.
Example:
“For the topic of “[Topic]” what are the 20 top keywords that include “best”
Again, this guide to keyword research using ChatGPT has emphasized the ease of generating keyword research ideas by utilizing ChatGPT throughout the process.
Keyword Research Using ChatGPT Vs. Keyword Research Tools
Free Vs. Paid Keyword Research Tools
Like keyword research tools, ChatGPT has free and paid options.
However, one of the most significant drawbacks of using ChatGPT for keyword research alone is the absence of SEO metrics to help you make smarter decisions.
To improve accuracy, you could take the results it gives you and verify them with your classic keyword research tool – or vice versa, as shown above, uploading accurate data into the tool and then prompting.
However, you must consider how long it takes to type and fine-tune your prompt to get your desired data versus using the filters within popular keyword research tools.
For example, if we use a popular keyword research tool using filters, you could have all of the “best” queries with all of their SEO metrics:
And unlike ChatGPT, generally, there is no token limit; you can extract several hundred, if not thousands, of keywords at a time.
As I have mentioned multiple times throughout this piece, you cannot blindly trust the data or SEO metrics it may attempt to provide you with.
The key is to validate the keyword research with a keyword research tool.
ChatGPT For International SEO Keyword Research
ChatGPT can be a terrific multilingual keyword research assistant.
For example, if you wanted to research keywords in a foreign language such as French. You could ask ChatGPT to translate your English keywords;
- The key is to take the data above and paste it into a popular keyword research tool to verify.
- As you can see below, many of the keyword translations for the English keywords do not have any search volume for direct translations in French.
But don’t worry, there is a workaround: If you have access to a competitor keyword research tool, you can see what webpage is ranking for that query – and then identify the top keyword for that page based on the ChatGPT translated keywords that do have search volume.
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Or, if you don’t have access to a paid keyword research tool, you could always take the top-performing result, extract the page copy, and then ask ChatGPT what the primary keyword for the page is.
Key Takeaway
ChatGPT can be an expert on any topic and an invaluable keyword research tool. However, it is another tool to add to your toolbox when doing keyword research; it does not replace traditional keyword research tools.
As shown throughout this tutorial, from making up keywords at the beginning to inaccuracies around data and translations, ChatGPT can make mistakes when used for keyword research.
You cannot blindly trust the data you get back from ChatGPT.
However, it can offer a shortcut to understanding any topic for which you need to do keyword research and, as a result, save you countless hours.
But the key is how you prompt.
The prompts I shared with you above will help you understand a topic in minutes instead of hours and allow you to better seed keywords using keyword research tools.
It can even replace mundane keyword clustering tasks that you used to do with formulas in spreadsheets or generate ideas based on keywords you give it.
Paired with traditional keyword research tools, ChatGPT for keyword research can be a powerful tool in your arsenal.
More resources:
Featured Image: Tatiana Shepeleva/Shutterstock
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