Connect with us

SEO

Machine Learning Examples For The Real World

Published

on

Machine Learning Examples For The Real World

As an SEO professional, you’ve heard about ChatGPT and BARD – or even used them yourself.

You might also be familiar with a handful of machine learning models from Google, such as BERT and RankBrain.

These are all great applications of machine learning.

But it isn’t always immediately apparent how machine learning can be useful for your BAU (business as usual) tasks or daily SEO to-dos.

There’s also the question of ethics, as in data privacy and fairness, when it comes to using machine learning in your work.

Advertisement

However, understanding how machine learning works in search (and in real life) can only work to your advantage as an SEO pro – whether you’re technical or not.

In this comprehensive article, learn the types of machine learning and ethics associated with the technology, then take inspiration from seven machine learning examples that have had a great impact on our world.

As an added bonus, at the end of this article, explore eight machine learning examples directly applied to SEO.

What Is Machine Learning?

Machine learning is a subset of artificial intelligence (AI) which enables systems to learn and improve without the need to be explicitly programmed. This is achieved by using large data sets that train the parameters in the model.

Perhaps the most well-known examples of machine learning currently are ChatGPT and BARD – and while this post won’t be focusing on them, I decided to ask them both to explain to me what machine learning is. Here are their responses:

ChatGPT

“Machine learning is a type of artificial intelligence that allows software applications to learn from the data and become more accurate in predicting outcomes without explicit programming. In other words, it is a method of teaching computers to learn from the data they are given, and then to make decisions or predictions based on that learning.

The goal of machine learning is to develop algorithms that can learn patterns in data, and then use those patterns to make decisions or predictions about new data. This is done by training the machine learning algorithm on a dataset of known inputs and outputs, and then using that knowledge to make predictions on new, unseen data.

Advertisement

Some common applications of machine learning include image recognition, natural language processing, fraud detection, and recommendation systems.”

Screenshot from ChatGPT, April 2023

BARD

“Machine learning is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a subset of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so.

Machine learning can be used for a variety of tasks, including:

  • Classification: Sorting data into categories. For example, a spam filter might classify emails as spam or not spam.
  • Regression: Predicting a continuous value. For example, a weather forecast might predict the temperature tomorrow.
  • Clustering: Grouping data points together based on their similarity. For example, a recommender system might cluster users together based on their past purchases.
  • Anomaly detection: Identifying unusual data points. For example, a fraud detection system might identify transactions that are likely to be fraudulent.

Machine learning is a powerful tool that can be used to solve a variety of problems. However, it is important to note that machine learning algorithms are only as good as the data they are trained on. If the data is biased, the algorithm will be biased as well. Additionally, machine learning algorithms can be susceptible to overfitting, which is when the algorithm learns the training data too well and does not generalize well to new data.

Despite these challenges, machine learning is a rapidly growing field with a wide range of applications. As the amount of data available to us continues to grow, machine learning is likely to play an even greater role in our lives in the future.”

BARD definition of machine learningScreenshot from BARD, April 2023

Supervised Learning

As the name suggests, in supervised learning, the model learns under supervision. It is trained with labeled data, and the output is manually reviewed.

The machine learns from the labeled data, which is then used to make future predictions.

Once the output is received, the model remembers it and will use it for the next operation.

Supervised learning visualImage from author, April 2023
Supervised predictive learning visualImage from author, April 2023

There are two main types of supervised learning: classification and regression.

Classification

Classification is when the output variable is categorical, with two or more classes that the model can identify; for example, true or false and dog or cat.

Advertisement

Examples of this include predicting whether emails are likely to be spam or whether an image is of a dog or cat.

In both of these examples, the model will be trained on data that is either classified as spam or not spam, and whether an image contains a dog or cat.

Regression

This is when the output variable is a real or continuous value, and there is a relationship between the variables. Essentially, a change in one variable is associated with a change that occurs in the other variable.

The model then learns the relationship between them and predicts what the outcome will be depending on the data it is given.

For example, predicting humidity based on a given temperature value or what the stock price is likely to be at a given time.

Unsupervised Learning

Unsupervised learning is when the model uses unlabeled data and learns by itself, without any supervision. Essentially, unlike supervised learning, the model will act on the input data without any guidance.

Advertisement

It does not require any labeled data, as its job is to look for hidden patterns or structures in the input data and then organize it according to any similarities and differences.

For example, if a model is given pictures of both dogs and cats, it isn’t already trained to know the features that differentiate both. Still, it can categorize them based on patterns of similarities and differences.

Unsupervised learning visualImage from author, April 2023

There are also two main types of unsupervised learning: clustering and association.

Clustering

Clustering is the method of sorting objects into clusters that are similar to each other and belong to one cluster, versus objects that are dissimilar to a particular cluster and therefore belong in another.

Examples of this include recommendation systems and image classifying.

Association

Association is rule-based and is used to discover the probability of the co-occurrence of items within a collection of values.

Examples include fraud detection, customer segmentation, and discovering purchasing habits.

Advertisement

Semi-supervised Learning

Semi-supervised learning bridges both supervised and unsupervised learning by using a small section of labeled data, together with unlabeled data, to train the model. It, therefore, works for various problems, from classification and regression to clustering and association.

Semi-supervised learning can be used if there is a large amount of unlabeled data, as it only requires a small portion of the data to be labeled to train the model, which can then be applied to the remaining unlabeled data.

Google has used semi-supervised learning to better understand language used within a search to ensure it serves the most relevant content for a particular query.

Reinforcement Learning

Reinforcement learning is when a model is trained to return the optimum solution to a problem by taking a sequential approach to decision-making.

It uses trial and error from its own experiences to define the output, with rewards for positive behavior and negative reinforcement if it is not working towards the goal.

The model interacts with the environment that has been set up and comes up with solutions without human interference.

Advertisement

Human interference will then be introduced to provide either positive or negative reinforcement depending on how close to the goal the output is.

Examples include robotics – think robots working in a factory assembly line – and gaming, with AlphaGo as the most famous example. This is where the model was trained to beat the AlphaGo champion by using reinforcement learning to define the best approach to win the game.

Machine Learning Ethics

There is no doubt that machine learning has many benefits, and the use of machine learning models is ever-growing.

However, it’s important to consider the ethical concerns that come with using technology of this kind. These concerns include:

  • The accuracy of a machine learning model and whether it will generate the correct output.
  • Bias in the data that is used to train models, which causes a bias in the model itself, and, therefore, a bias in the outcome. If there is historical bias in data, that bias will often be replicated throughout.
  • The fairness in outcomes and the overall process.
  • Privacy – particularly with data that is used to train machine learning models – as well as the accuracy of the outcomes and predictions.

7 Machine Learning Examples In The Real World

1. Netflix

Netflix uses machine learning in a number of ways to provide the best experience for its users.

The company is also continually collecting large amounts of data, including ratings, the location of users, the length of time for which something is watched, if content is added to a list, and even whether something has been binge-watched.

This data is then used to further improve its machine learning models.

Advertisement

Content Recommendations

TV and movie recommendations on Netflix are personalized to each individual user’s preferences. To do this, Netflix deployed a recommendation system that considers previous content consumed, users’ most viewed genres, and content watched by users with similar preferences.

Auto-generated Thumbnails

Netflix discovered that the images used on the browse screen make a big difference in whether users watch something or not.

It, therefore, uses machine learning to create and display different images according to a user’s individual preferences. It does this by analyzing a user’s previous content choices and learning the kind of image that is more likely to encourage them to click.

These are just two examples of how Netflix uses machine learning on its platform. If you want to learn more about how it is used, you can check out the company’s research areas blog.

2. Airbnb

With millions of listings in locations across the globe at different price points, Airbnb uses machine learning to ensure users can find what they are looking for quickly and to improve conversions.

There are a number of ways the company deploys machine learning, and it shares a lot of details on its engineering blog.

Advertisement

Image Classification

As hosts can upload images for their properties, Airbnb found that a lot of images were mislabeled. To try and optimize user experience, it deployed an image classification model that used computer vision and deep learning.

The project aimed to categorize photos based on different rooms. This enabled Airbnb to show listing images grouped by room type and ensure the listing follows Airbnb’s guidelines.

In order to do this, it retrained the image classification neural network ResNet50, with a small number of labeled photos. This enabled it to accurately classify current and future images uploaded to the site.

Search Ranking

To provide a personalized experience for users, Airbnb deployed a ranking model that optimized search and discovery. The data for this model came from user engagement metrics such as clicks and bookings.

Listings started by being ordered randomly, and then various factors were given a weight within the model – including price, quality, and popularity with users. The more weight a listing had, the higher it would be displayed in listings.

This has since been optimized further, with training data including the number of guests, price, and availability also included within the model to discover patterns and preferences to create a more personalized experience.

Advertisement

3. Spotify

Spotify also uses several machine learning models to continue revolutionizing how audio content is discovered and consumed.

Recommendations

Spotify uses a recommendation algorithm that predicts a user’s preference based on a collection of data from other users. This is due to numerous similarities that occur between music types that clusters of people listen to.

Playlists are one way it can do this, using statistical methods to create personalized playlists for users, such as Discover Weekly and daily mixes.

It can then use further data to adjust these depending on a user’s behavior.

With personal playlists also being created in the millions, Spotify has a huge database to work with – particularly if songs are grouped and labeled with semantic meaning.

This has allowed the company to recommend songs to users with similar music tastes. The machine learning model can serve songs to users with a similar listening history to aid music discovery.

Advertisement

Natural Language

With the Natural Processing Language (NLP) algorithm enabling computers to understand text better than ever before, Spotify is able to categorize music based on the language used to describe it.

It can scrape the web for text on a particular song and then use NLP to categorize songs based on this context.

This also helps algorithms identify songs or artists that belong in similar playlists, which further helps the recommendation system.

4. Detecting Fake News

While AI tools such as machine learning content generation can be a source for creating fake news, machine learning models that use natural language processing can also be used to assess articles and determine if they include false information.

Social network platforms use machine learning to find words and patterns in shared content that could indicate fake news is being shared and flag it appropriately.

5. Health Detection

There is an example of a neural network that was trained on over 100,000 images to distinguish dangerous skin lesions from benign ones. When tested against human dermatologists, the model could accurately detect 95% of skin cancer from the images provided, compared to 86.6% by the dermatologists.

Advertisement

As the model missed fewer melanomas, it was determined to have a higher sensitivity and was continually trained throughout the process.

There is hope that machine learning and AI, together with human intelligence, may become a useful tool for faster diagnosis.

Other ways image detection is being used in healthcare include identifying abnormalities in X-rays or scans and identifying key markups that may indicate an underlying illness.

6. Wildlife Security

Protection Assistant for Wildlife Security is an AI system that is being used to evaluate information about poaching activity to create a patrol route for conservationists to help prevent poaching attacks.

The system is continually being provided with more data, such as locations of traps and sightings of animals, which helps it to become smarter.

The predictive analysis enables patrol units to identify areas where it is likely animal poachers will visit.

Advertisement

8 Machine Learning Examples In SEO

1. Content Quality

Machine learning models can be trained to improve the quality of website content by predicting what both users and search engines would prefer to see.

The model can be trained on the most important insights, including search volume and traffic, conversion rate, internal links, and word count.

A content quality score can then be generated for each page, which will help inform where optimizations need to be made and can be particularly useful for content audits.

2. Natural Language Processing

Natural Language Processing (NLP) uses machine learning to reveal the structure and meaning of text. It analyzes text to understand the sentiment and extract key information.

NLP focuses on understanding context rather than just words. It is more about the content around keywords and how they fit together into sentences and paragraphs, than keywords on their own.

The overall sentiment is also taken into account, as it refers to the feeling behind the search query. The types of words used within the search help to determine whether it is classified as having a positive, negative, or neutral sentiment.

Advertisement

The key areas of importance for NLP are;

  • Entity – Words representing tangible objects such as people, places, and things that are identified and evaluated.
  • Categories – Text separated into categories.
  • Salience – How relevant the entity is.

Google has a free NLP API demo that can be used to analyze how text is seen and understood by Google. This enables you to identify improvements to content.

Recommendations In The World Of NLP

  • NLP is also being used to review and understand anchor text that is used to link pages. Therefore, it is more important than ever to ensure anchor text is relevant and informative.
  • Ensuring each page has a natural flow, with headings providing hierarchy and readability.
  • Answering the question the article is querying as quickly as possible. Ensure that users and search engines can discover key information without making too much effort.
  • Ensure you have the correct spelling and punctuation used to display authority and trustworthiness.

3. Google’s Models

AI and machine learning is used throughout Google’s many products and services. The most popular use of it in the context of search is to understand language and the intent behind search queries.

It’s interesting to see how things have evolved in search due to advancements in the technology used, thanks to machine learning models and algorithms.

Previously, the search systems looked for matching words only, which didn’t even consider misspellings. Eventually, algorithms were created to find patterns that identified misspellings and potential typos.

There have been several systems introduced throughout the last few years after Google confirmed in 2016 its intention to become a machine learning first company.

RankBrain

The first of these was RankBrain, which was introduced in 2015 and helps Google to understand how different words are related to different concepts.

This enables Google to take a broad query and better define how it relates to real-world concepts.

Advertisement

Google’s systems learn from seeing words used in a query on the page, which it can then use to understand terms and match them to related concepts to understand what a user is searching for.

Neural Matching

Neural matching was launched in 2018 and introduced to local search in 2019.

This helps Google understand how queries relate to pages by looking at the content on a page, or a search query, and understanding it within the context of the page content or query.

Most queries made today make use of neural matching, and it is used in rankings.

BERT

BERT, which stands for Bidirectional Encoder Representations from Transformers, launched in 2019 and is one of the most impactful systems Google has introduced to date.

This system enables Google to understand how combinations of words express different meanings and intent by reviewing the whole sequence of words on a page.

Advertisement

BERT is now used in most queries, as it helps Google understand what a user is looking for to surface the best results related to the search.

MUM

MUM, which means Multitask Unified Model, was introduced in 2021 and is used to understand languages and variations in search terms.

LaMBDA

Language Models for Dialog Application, or LaMDA for short, is the newest model and is used to enable Google to have fluid and natural conversations.

This uses the latest advancements to find patterns in sentences and correlations between different words to understand nuanced questions – and even predict which words are likely to come next.

4. Predictive Prefetching

By combining historical website data on user behavior with the capabilities of machine learning, some tools can guess which page a user is likely to navigate to next and begin prefetching the necessary resources to load the page.

This is known as predictive prefetching and can enhance website performance.

Advertisement

Predictive prefetching can also apply to other scenarios, such as forecasting pieces of content or widgets that users are most likely to view or interact with and personalizing the experience based on that information.

5. Testing

Running SEO A/B tests is one of the most effective ways to provide the SEO impact of changes, and the ability to generate statistically significant results is possible with the use of machine learning algorithms and neural networks.

SearchPilot is an example of SEO A/B testing that is powered by machine learning and neural network models.

Starting with a bucketing algorithm that creates statistically similar buckets of control and variant pages to perform tests on, a neural network model then forecasts expected traffic to the pages the test is being run on.

The neural network model, which is trained to account for any and all external influences such as seasonality, competitor activity, and algorithm updates, will also analyze the organic search traffic to the variant pages and identify how they perform against the control group throughout the test.

This also enables users to calculate whether any difference in traffic is statistically significant.

Advertisement

(Disclaimer: I work for SearchPilot.)

6. Internal Linking

Machine learning can help with internal linking in two ways:

  • Updating broken links: Machine learning can crawl your site to spot any broken internal links and then replace them with a link to the best alternative page.
  • Suggesting relevant internal linking: These tools can leverage big data to suggest relevant internal links during the article creation process and over time.

The other internal linking task is an internal link audit. This includes analyzing the number of internal links to a page, the placement of the links together with the anchor text, and the overall crawl depth of the page.

Anchor text classification can also be performed to identify the phrases used most frequently in alt text and categorize them based on topics and whether they are branded or non-branded terms.

7. Image Captioning For Alt Text

As SEO pros, we understand the importance of image alt text. They improve accessibility for people who use screen readers while also helping search engine crawlers understand the content of the page they are placed on.

Language vision models can be used to automatically caption images, therefore providing content that can be used as alt text. Image captioning is used to describe what is shown within an image in a single sentence.

Two models are used for image captioning, both as important as the other. The image-based model will start by extracting features from the image, while the language-based model will translate those features into a logical sentence.

Advertisement

An example of image captioning in the real world is the Pythia deep learning framework.

8. Other SEO tasks

Other articles worth reviewing focus on using deep learning to automate title tag optimization and intent classification using deep learning.

If you’re interested in how machine learning can be used in daily SEO tasks, this article by Lazarina Stoy is a must-read – and if you would like to play around with some super interesting scripts, this collection of Colab notebooks from Britney Muller is the perfect place to start.

In Conclusion

Machine learning isn’t limited to just ChatGPT and BARD.

There are many practical applications for machine learning, both in the real world and specifically in the world of SEO – and these are likely just the beginning.

And while it will be vital to remain cognizant of the ethical questions associated with machine learning, it has exciting implications for the future of SEO.

Advertisement

More resources:


Featured Image: Phonlamai Photo/Shutterstock



Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address

SEO

A Comprehensive On-Page SEO Checklist for 2024

Published

on

A Comprehensive On-Page SEO Checklist for 2024

If you’ve invested time and effort writing an epic piece of content, don’t forget about on-page SEO. It helps google to understand what your page is about and show it to as many people as possible in the search results.

Even better, many on-page improvements are super quick and easy to do.

Follow this checklist for perfect on-page SEO every time:

If you’re looking for a reusable interactive checklist to use time and time again, here are a few other formats

Let’s run through everything real quick.

Advertisement

Google says it’s best to use words that are relevant to your content in page URLs, so you don’t want random gobbledygook urls like domain.com/734/834753956756 if you can avoid it. It’s better to use something short and descriptive like domain.com/mens/shirts.

Short, descriptive URLs are best for SEOShort, descriptive URLs are best for SEO

It only takes a few seconds to change this in most content management systems:

You can change URL structures in most CMS's in secondsYou can change URL structures in most CMS's in seconds

If you’re not sure what words or phrases to use, the main keyword you’re targeting is usually a good bet. That’s what we do on the Ahrefs blog 90% of the time.

For example, our target keyword for this post is “on page SEO checklist,” so that’s what the post’s URL is:

Using the target keyword is never a bad idea for a URL slugUsing the target keyword is never a bad idea for a URL slug

Few best practices to keep in mind:

  • Avoid repeating words. If your page is about mens shirts and it’s nested in the /mens/ subfolder, you don’t need to repeat the word “mens.” domain.com/mens/shirts/ is better than domain.com/mens/mens-shirts/
  • Avoid dates. If a searcher comes across domain.com/blog/2020/fashion-tips/ in 2024, they’re going to assume it’s out-of-date even if you updated the content yesterday. So domain.com/blog/fashion-tips/ would be better.
  • Avoid being too specific. If your URL is domain.com/blog/20-best-fashion-tips/, it’s going to look weird if you add more tips to your post later on. Using the less specific domain.com/blog/best-fashion-tips/ gives you more future freedom.

Google says that title tags are often the main piece of information searchers use to decide which result to click on. If yours is boring and dull, you’re probably not going to get as many clicks as you could—even if you rank.

It’s the same story for meta descriptions, which Google often uses for the descriptive snippet.

Pages with compelling title tags and meta descriptions get more clicksPages with compelling title tags and meta descriptions get more clicks

There’s no one-size-fits-all approach for title tags, but the ABC formula is a decent starting point for blog posts:

Use the ABC formula to craft more compelling title tagsUse the ABC formula to craft more compelling title tags

For your meta description, my best advice is to try to expand on your title tag to give searchers more detail and context.

If you’re struggling or just want a fast solution, give our free AI title tag generator and meta description generator a shot. Tell the tools what your page is about and your desired writing tone and they’ll generate a few options.

Advertisement
Use Ahrefs' free AI and meta description generators to craft compelling copy in secondsUse Ahrefs' free AI and meta description generators to craft compelling copy in seconds

Remember to keep them both short and swee, too. If they’re too long, they’ll get cut-off in search. This looks odd and makes them less compelling. You can use a free tool like this one to check for truncation before publishing, or Ahrefs’ Site Audit to find all the issues on your site.

Google recommends using one H1 tag per page. It makes sense to use this for your page title as H1 is the highest level heading there is.

Most content management systems do this automatically, but you can double-check your title is indeed a H1 for free using Ahrefs SEO toolbar. Just click the Content tab:

Use the Ahrefs SEO Toolbar to check the structure of your contentUse the Ahrefs SEO Toolbar to check the structure of your content

If the copy you’d expect to be wrapped in a H1 tag isn’t, hit up your developer!

People want what you promised them in your title and meta description, so don’t kick things off with a load of fluff. Get straight to the point and give the reader what they came for in the first sentence.

There’s no one-size-fits-all way to do this. It all depends on what searchers are looking for.

For example, when people search for “toxic backlinks,” they’re overwhelmingly looking for a definition above all else. That’s why I made the very first paragraph of my article the definition:

Advertisement
People have short attention spans; get to the point fastPeople have short attention spans; get to the point fast

But when people search for “best snow blower,” they just want a recommendation—so that’s what Wirecutter gives them in the first paragraph:

Wirecutter is great at getting to the point in their introsWirecutter is great at getting to the point in their intros

Sidenote.

I think Wirecutter’s opening paragraph could be even better because there’s no point in that first sentence. If you’re searching for “best snow blower,” you already know the benefits of the product. You just want to know which one is best!

Google’s John Mueller said that the search giant uses headings to help better understand the content on a page. This is why you need to make sure they’re clear and descriptive.

It’s easy to miss the mark here. We’ve even been guilty of it ourselves.

For example, look at these two subheadings from our list of blogging tips:

Some of our rather cryptic subheadings from our list of blogging tipsSome of our rather cryptic subheadings from our list of blogging tips

Do you have any idea what those mean at first glance?

Me neither. And many of the other subheadings in our post were also unclear.

Advertisement

If you suspect the same might be true for your subheadings, try this: ask ChatGPT to rewrite them for clarity.

Asking ChatGPT to rewrite subheadings for clarityAsking ChatGPT to rewrite subheadings for clarity

This is exactly what Sam did for our post, and it made them much clearer in seconds.

For example, “Create a ‘Do 100’ project” became “Start a ‘write 100 blog posts’ project”:

Example of a subheading rewritten by ChatGPTExample of a subheading rewritten by ChatGPT

Make sure your subheadings have proper hierarchy, too. It helps Google to understand the structure and makes it easier to skim for readers.

Headings improve user experience by creating hierarchyHeadings improve user experience by creating hierarchy

Search intent is the reason behind the search. Unless your page aligns with intent and gives searchers what they’re looking for, your chances of ranking high are slim to none.

To show just how important this is, look at this graph:

Our rankings for "backlink checker" shot up after we matched search intentOur rankings for "backlink checker" shot up after we matched search intent

This shows our ranking position for the keyword “backlink checker” over time. You can see that in late 2018, we suddenly went from struggling to rank higher than position #5 to consistently ranking #1.

How? By optimizing our page for search intent.

Here’s what the page looked like before:

Advertisement
Our original "backlink checker" landing pageOur original "backlink checker" landing page

Here’s what it looks like now:

Our current "backlink checker" landing pageOur current "backlink checker" landing page

Minor design tweaks aside, there’s one important difference: there’s now a free backlink checker embedded. Before it just asked visitors to start a trial of our SEO software.

By catering to what searchers actually wanted, we improved the page’s rankings and its estimated search traffic from ~18K to ~215K monthly visits. That’s a 12X improvement!

Traffic increased by 12X when we improved search intent. That's huge!Traffic increased by 12X when we improved search intent. That's huge!

But how did we know what searchers wanted?

Back then, we had to do a manual analysis of the top search results. While you can still do that, it’s much easier just to click the “Identify intents” button in Keywords Explorer:

Use the "Identify intents" button in Keywords Explorer to quickly understand what searchers are looking forUse the "Identify intents" button in Keywords Explorer to quickly understand what searchers are looking for

This uses the power of AI to analyze the top search results and tell you what searchers are looking for.

Broadly aligning your content with search intent isn’t enough. It should also cover the topic in full to tell searchers everything they want to know. This can help it rank for more keywords and bring more traffic as a result, too.

To find what searchers are looking for, look for common subtopics among top-ranking pages.

There are a few ways you can do this.

Advertisement

Manually check the top-ranking pages

Search for your target keyword in Google, open a few top-ranking pages, and eyeball them for commonalities.

For example, many top results for “best running shoes for flat feet” give a budget option:

Many first-page results for "best running shoes for flat feet" talk about the best budget option
Many first-page results for "best running shoes for flat feet" talk about the best budget option

Check the keyword rankings of top-ranking pages

Pages often rank for keywords related to the subtopics they cover. If you see many top pages ranking for these keywords, it’s probably an important subtopic to cover.

Here’s how to find these keywords:

  1. Go to the Competitive Analysis tool in Ahrefs
  2. Enter your page’s URL in the “This target doesn’t rank for” field. (If you haven’t published your page yet, enter the URL you plan to use.)
  3. Enter the URLs of a few similar top-ranking pages in the “But these competitors do” fields
  4. Look for keywords that represent subtopics

For example, the top three results for “best running shoes for flat feet” also rank in the top 10 for many keywords related to men and women’s shoes:

Keyword rankings for top-ranking pages often reveal important subtopicsKeyword rankings for top-ranking pages often reveal important subtopics

This tells you that the best picks for men and women is an important subtopic to include.

Find subtopics with the help of AI

It’s currently in beta, but the new AI Content Grader in Ahrefs finds “missing” subtopics. It does this by comparing the content of the three top-ranking pages for your target keyword to your content.

To use it, just enter your target keyword and your page’s URL. (If you haven’t published your page yet, enter the URL you plan to use).

For example, here’s one of its suggestions for the keyword “best running shoes for flat feet”:

Advertisement
AI suggestions for subtopics to include, via Ahrefs' Content GraderAI suggestions for subtopics to include, via Ahrefs' Content Grader

Information gain is a measure of how unique your content is. Google describes a mechanism for scoring this in a patent granted in June 2022.

Two months later, in August 2022, Google launched the helpful content update, which they described as “part of a broader effort to ensure people see more original, helpful content written by people, for people, in search results.”

Are these two things related? Nobody knows. But what we do know is that Google cares about the originality of your content, and almost certainly has mechanisms in place for identifying it. 

This means that covering what other top-ranking pages cover isn’t enough for a well-optimized page. It also needs to bring something new and valuable to the table.

For example, my colleague Chris collected data on how folks deal with low-quality backlinks for his post on removing backlinks:

Research Chris did for his post on removing backlinksResearch Chris did for his post on removing backlinks

Ryan interviewed three B2B marketers for unique insights for his post on B2B content marketing:

Research Ryan did for his post on B2B content marketingResearch Ryan did for his post on B2B content marketing

And I worked with Patrick Stox to create an interactive workflow and template for my content audit guide:

Template I made for my post on how to do a content auditTemplate I made for my post on how to do a content audit

None of these posts are completely unique. They contain plenty of information that you can probably find elsewhere—and that’s fine. What matters is that we’re bringing at least something new to the table.

Advertisement

Google’s algorithms are designed to surface content that demonstrates E-E-A-T: Experience, Expertise, Authority, and Trust.

If you’re an expert in your field or crafted your content from personal experience, your page already has E-E-A-T. But searchers aren’t going to know that without reading it, so you should try to showcase it as obviously as you can on the page. Let’s look at two ways to do this.

Flash your credentials

Healthline does this extremely well. The very first thing you see on their page about rheumatoid arthritis is that the content was reviewed by a rheumatologist:

Healthline flashes author's credentials right in the introHealthline flashes author's credentials right in the intro

Put your uniqueness front and center

If you’ve put time and effort into adding “information gain” to your content, don’t bury it. Make sure searchers see it right away so they know they can trust you.

For example, to curate our list of the best Facebook groups for SEOs, we asked the 12K+ members of our customer-only group to vote for their favorites. Instead of burying this fact deep in the post, we highlighted it in the very first paragraph.

Always put your uniqueness front and centerAlways put your uniqueness front and center

For a page to earn backlinks (which are a strong ranking factor) and shares, people have to actually consume the content. This isn’t going to happen if the copy is hard to read.

You can use free tools like Hemingway and Grammarly to fix this.

For example, Hemingway gives my recent guide to toxic backlinks a reading grade level of 7:

Advertisement
Use tools like Hemingway and Grammarly to improve readabilityUse tools like Hemingway and Grammarly to improve readability

Given that 54% of Americans lack literary proficiency (essentially reading below the equivalent of a sixth-grade level), this means we’re alienating at least 46% of readers. If we could bring the reading grade level down, more people would be able to read it.

Sidenote.

This isn’t absolutely necessary for every topic. It depends on who your audience is. If they’re technical folks, don’t worry about it. But if you’re publishing content for the masses, accessibility matters.

Here are a few more tips to improve readability:

  • Use short sentences and paragraphs
  • Use bulleted lists
  • Use images

Featured snippets give searchers a short answer right in the search results.

Featured snippets in search resultsFeatured snippets in search results

But here’s the cool thing: Google pulls the snippet from one of the top-ranking pages. This means that if your page already ranks in the top 10 for keywords where Google shows a featured snippet, there might be an opportunity to steal it without much effort.

This is exactly what I managed to do a couple of months ago, which led to a ~38.9% jump in estimated search traffic to our page:

Traffic improvement of 38.9% by optimizing for featured snippetsTraffic improvement of 38.9% by optimizing for featured snippets

Here’s what happened:

In Ahrefs’ Site Explorer, I used the Organic Keywords report to find the page’s top 10 keyword rankings with featured snippets we didn’t own.

Advertisement
How to find featured snippet opportunitiesHow to find featured snippet opportunities

Right away, I noticed a trend: many of the keywords were people searching for the most searched thing in Google (singular) rather than a list of top searches (plural):

Example of an obvious opportunity to optimize for featured snippetsExample of an obvious opportunity to optimize for featured snippets

After searching for a few of these keywords in Google, I saw that the snippet was pretty much always pulled from this very short paragraph in a competing post:

Example of copy Google was using for a featured snippetExample of copy Google was using for a featured snippet

So… I added a similar paragraph to our post (using our data instead):

The copy I added to our page to optimize for featured snippetsThe copy I added to our page to optimize for featured snippets

This quick big of on-page SEO won our page 163 more featured snippets:

Results of optimizing - 163 more featured snippetsResults of optimizing - 163 more featured snippets

Images on your page can rank in Google Images and send you more traffic. There are three things you need to do to optimize them.

Filenames are descriptive

Google says that these give clues about the subject matter, so avoid random file names like IMG_5497.jpg in favor of something short and descriptive like brown-dog.jpg.

How to name image files for SEOHow to name image files for SEO

Alt text is present and descriptive

Google also says that image alt text helps them understand subject matter, so the same rules apply as filenames: keep them short and descriptive.

How to write alt text for SEOHow to write alt text for SEO

Most content management systems have a place to add alt text in the UI, so there’s no need to mess around with HTML:

Most CMS's make it easy to add alt textMost CMS's make it easy to add alt text

Images are compressed

Compressed images are smaller and faster to load. Some platforms like Shopify claim to do this automatically, but the results aren’t always great. It’s generally better to employ the help of a plugin like TinyIMG or Shortpixel.

Internal links are links from one page on your site to another. They help Google understand what a page is about and boost its authority, which can lead to higher rankings.

For this reason, when you publish a new page, it pays to internally link from there to other relevant pages. This won’t help the new page’s rankings, but it might help the rankings of the pages you internally link to.

To find relevant opportuntities, use Ahrefs’ Site Audit:

  1. Go to the Internal Link Opportunities tool
  2. Enter the URL of your newly-published page in the search box
  3. Choose “Source page” from the dropdown
How to find internal linking opportunitiesHow to find internal linking opportunities

Sidenote.

Site Audit needs to have crawled your site since you published the new page, otherwise this won’t work.

Advertisement

Pay attention to these columns:

  • Source page → your newly-published page, where you will add the link
  • Keyword context → where on the page to add the link
  • Target page → where to link to

For example, here the report is suggesting that I link from my post on toxic backlinks to our bad links guide:

Example of an internal linking opportunityExample of an internal linking opportunity

Citing valuable resources is helpful for readers. Even Google says so.

Does that mean it’s a “ranking factor?” No. But it does improve your content’s credibility with readers, and that can impact things that do matter like links and shares.

This is something we regularly do on the Ahrefs blog:

Example of us linking to sources on the Ahrefs blogExample of us linking to sources on the Ahrefs blog

If you’re trying to boost the rankings of the page you’re optimizing, you’ll want to add internal links to it from other pages on your site.

To find relevant opportunities, use Ahrefs’ Site Audit:

Advertisement
  1. Go to the Page Explorer tool
  2. Enter your target keyword (or part of it) in the search box
  3. Choose “Page text” from the dropdown
How to find internal linking opportunities on other pagesHow to find internal linking opportunities on other pages

This will find pages on your site that mention your target keyword, which may be good places to add internal links.

For example, it tells us that our guide to removing backlinks mentions the word “toxic”:

Example internal linking opportunityExample internal linking opportunity

If we search that page, this is the mention:

Perfect place to add an internal linkPerfect place to add an internal link

That looks like the perfect place to internally link to our guide to toxic backlinks.

Schema markup is code that helps search engines understand the information on a page. It also powers many rich snippets you see in Google, which can lead to more clicks.

What rich results look likeWhat rich results look like

If you’re not sure whether schema markup is worth prioritizing for your page, search for your main target keyword in Google and look at the top results. If all or many are rich results, it’s probably worth adding it.

Most of the results for this term show rich snippets, so it's probably worth optimizing for themMost of the results for this term show rich snippets, so it's probably worth optimizing for them

If you use WordPress, you can easily add schema with a plugin like Yoast or RankMath. Alternatively, use a tool like Merkle’s Schema Markup Generator to generate the JSON-LD code yourself and add it manually.

Keep learning

Check out even more of our on-page SEO resources:

Source link

Advertisement
Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

SEO

Marketing Calendar 2024 With Template To Plan Your Content

Published

on

By

Marketing Calendar 2024 With Template To Plan Your Content

Setting yourself and your organization up for successful marketing means understanding the interesting dates, holidays, and events throughout the year that you can leverage for your brand.

Pulling that information together takes time and effort, so we’ve done the legwork for you.

Our complete marketing calendar for 2024 with a template gives you all the information you need to plan your content.

You can customize this easily referenceable table and pull out the relevant dates for your business to create your own 2024 marketing calendar.

For planning content and social media campaigns, using a marketing calendar gives you insights and opportunities to tie your content into well-known events in engaging ways.

Advertisement

These range from big sporting events to awareness months that you can plan content around, to public holidays so you can leverage them for engagement.

Free Marketing Calendar And Template For 2024

Below, we have listed some of the major holiday highlights for 2024. We have also compiled a free spreadsheet that lists many obscure awareness days to help you plan content in any niche.

The full 2024 marketing calendar and template are available at the end of the article, with a breakdown of each month.

This calendar focuses mainly on the U.S. and Canada, with some major international and religious holidays included.

Your 2024 Holiday Marketing Calendar

January

January is a time of resolutions and fresh starts, with many picking a goal for the year or looking to make a change.

It can be a slow start, given that many people are still recovering from the end of last year, but that gives you time to plan your calendar and ease into a new year of content.

Advertisement

There are plenty of broad activities to lean into, like Veganuary and National Hobby Month, to connect with audience lifestyles.

Events in January always have all eyes on them, too, like the Golden Globes and Winter X Games, so content around them can kickstart your 2024 engagement.

Monthly Observances

  • International Creativity Month
  • National Blood Donor Month
  • National Braille Literacy Month
  • National Hobby Month
  • Dry January
  • Veganuary

Weekly Observances

  • January 1-7 – New Year’s Resolutions Week
  • January 1-7 – Celebration of Life Week
  • January 1-7 – Diet Resolution Week
  • January 8-14 – Home Office and Security Week

Days

  • January 1 – New Year’s Day
  • January 1 – Mexican Independence Day
  • January 1 – Global Family Day
  • January 2 – National Science Fiction Day
  • January 4 – World Braille Day
  • January 6 – Epiphany
  • January 7 – Orthodox Christmas
  • January 10 – Golden Globes
  • January 13 – Korean American Day
  • January 13 – Stephen Foster Memorial Day
  • January 14 – Orthodox New Year
  • January 14 – Ratification Day
  • January 15 – Martin Luther King Jr. Day
  • January 15 – Civil Rights Day
  • January 17 – Ditch New Year’s Resolutions Day
  • January 17 – Benjamin Franklin Day
  • January 18-28 – Sundance Film Festival
  • January 20 – World Religion Day
  • January 24 – Tu BiShvat
  • January 26-29 – Winter X Games
  • January 27 – International Holocaust Remembrance Day
  • January 28 – Data Privacy Day

Popular Hashtags for January:

  • #NewYearsDay
  • #ScienceFictionDay
  • #NationalTriviaDay
  • #NationalBirdDay
  • #NationalStickerDay
  • #GetToKnowYourCustomersDay
  • #CheeseLoversDay
  • #MLKDay
  • #NationalHuggingDay
  • #PieDay
  • #NationalComplimentDay
  • #PrivacyAware

February

Despite being the shortest month, February is full of interesting events you can leverage for your marketing campaigns.

The colder days can leave people looking for things to get involved with from the comfort of their homes. So, make sure your content is working in line with popular days to attract people to your organization’s content.

Spread the love on Valentine’s Day, celebrate the Lunar New Year, and embrace Black History Month as we enjoy a slightly longer February with 2024’s Leap Year.

Monthly Observances

  • Black History Month
  • American Heart Month
  • National Heart Month
  • National Weddings Month
  • National Cancer Prevention Month
  • National Library Lovers Month
  • Celebration of Chocolate Month

Weekly Observances

  • February 7-13 – African Heritage and Health Week
  • February 9-14 – New York Fashion Week
  • February 11-17 – Freelance Writers Appreciation Week
  • February 11-17 – International Flirting Week
  • February 11-17 – Random Acts of Kindness Week
  • February 18-24 – Engineers’ Week
  • February 19-25 – National Pancake Week
  • February 28-March 5 – National Eating Disorders Awareness Week

Days

  • February 1 – First Day of Black History Month
  • February 1 – National Freedom Day
  • February 1 – National Change Your Password Day
  • February 2 – Groundhog Day
  • February 4 – Rosa Parks Day
  • February 4 – World Cancer Day
  • February 4 – The Grammy Awards
  • February 7 – National Girls and Women in Sports Day
  • February 10 – Lunar New Year
  • February 11 – Super Bowl Sunday
  • February 11 – International Day of Women and Girls in Science
  • February 12 – Abraham Lincoln’s Birthday
  • February 12 – Red Hand Day
  • February 12 – Georgia Day
  • February 12 – Darwin Day
  • February 13 – Mardi Gras
  • February 13 – International Pancake Day
  • February 14 – Valentine’s Day
  • February 14 – Ash Wednesday
  • February 14 – Arizona State Day
  • February 15 – Susan B. Anthony’s Birthday
  • February 18 – NBA All-Stars
  • February 18 – Daytona 500
  • February 19 – Presidents’ Day
  • February 22 – George Washington’s Birthday
  • February 29 – Leap Day

Popular Hashtags for February

  • #GroundhogDay
  • #WorldCancerDay
  • #NationalWeatherpersonsDay
  • #SendACardToAFriendDay
  • #BoyScoutsDay
  • #NationalPizzaDay
  • #ValentinesDay
  • #RandomActsOfKindnessDay
  • #PresidentsDay
  • #LoveYourPetDay

March

March marks the beginning of spring, and the days start to get longer. Whether March Madness turns up the heat or Easter is on its way, there are plenty of exciting events to get your content involved with.

Some of the monthly observances, such as Women’s History Month or The Great American Cleanup, can serve as great causes for regular engagement this month.

Monthly Observances

  • Women’s History Month
  • Nutrition Month
  • Music in Our Schools Month
  • Craft Month
  • American Red Cross Month
  • The Great American Cleanup
  • Ramadan begins on March 10

Weekly Observances

  • March 10-16 – Girl Scout Week
  • March 10-16 – National Sleep Awareness Week
  • March 17-23 – National Agriculture Week
  • March 24-30 – National Cleaning Week

Days

  • March 1 – Employee Appreciation Day
  • March 1 – Zero Discrimination Day
  • March 1 – Global Unplugging Day
  • March 3 – World Wildlife Day
  • March 3 – National Anthem Day
  • March 4 – International HPV Awareness Day
  • March 8 – International Women’s Day
  • March 10 – Daylight Savings
  • March 10 – Ramadan
  • March 12 – 96th Academy Awards Ceremony
  • March 14 – Pi Day
  • March 15 – The Ides of March
  • March 17 – St. Patrick’s Day
  • March 17 – NCAA March Madness
  • March 17 – World Sleep Day
  • March 18 – Global Recycling Day
  • March 19 – Nowruz
  • March 19 – Spring Equinox
  • March 22 – World Water Day
  • March 24 – Palm Sunday
  • March 24 – Purim
  • March 26 – Epilepsy Awareness Day
  • March 27 – World Theatre Day
  • March 28 – MLB Opening Day
  • March 28 – Maundy Thursday
  • March 29 – Good Friday
  • March 30 – Holy Saturday
  • March 31 – Easter Sunday

Popular Hashtags for March

  • #PeanutButterLoversDay
  • #EmployeeAppreciationDay
  • #ReadAcrossAmerica
  • #DrSeuss
  • #WorldWildlifeDay
  • #NationalGrammarDay
  • #BeBoldForChange
  • #DaylightSavings
  • #PiDay
  • #StPatricksDay
  • #FirstDayofSpring
  • #WorldWaterDay
  • #NationalPuppyDay
  • #PurpleDay
  • #NationalDoctorsDay
  • #EarthHour

April

April is probably best known for April Fools’ Day, and a chance to get creative with parody and spoof content for your calendar that can make your customers smile.

Earth Month also means you can make more eco-friendly posts about your organization’s commitment to reducing its impact on the planet.

Advertisement

You also might want to get your cape out of storage on April 28th for National Superhero Day.

Monthly Observances

  • Earth Month
  • National Autism Awareness Month
  • Parkinson’s Awareness Month
  • Celebrate Diversity Month
  • Stress Awareness Month
  • Ramadan ends on April 8

Weekly Observances

  • April 15-21 – Animal Cruelty/Human Violence Awareness Week
  • April 21-27 – National Volunteer Week
  • April 21-27 – Administrative Professionals Week
  • April 22-26 – Every Kid Healthy Week

Days

  • April 1 – April Fool’s Day
  • April 1 – Easter Monday
  • April 2 – World Autism Awareness Day
  • April 2 – International Children’s Book Day
  • April 5 – Lailat al-Qadr
  • April 6 – National Walking Day
  • April 7 – National Beer Day
  • April 7 – World Health Day
  • April 8 – Total Solar Eclipse
  • April 10 – Eid-Al-Fitr
  • April 11-14 – Masters Tournament PGA
  • April 11 – National Pet Day
  • April 12-21 – Coachella Music Festival
  • April 13 – Thomas Jefferson’s Birthday
  • April 13-15 – Songkran
  • April 15 – American Sign Language Day
  • April 15 – Tax Day
  • April 15 – Boston Marathon
  • April 15 – Patriots’ Day
  • April 16 – Emancipation Day
  • April 21 – World Creativity and Innovation Day
  • April 22 – Earth Day
  • April 22 – Passover starts
  • April 26 – Arbor Day
  • April 27 – World Design Day
  • April 28 – National Superhero Day
  • April 30 – National Honesty Day
  • April 30 – Passover ends

Popular Hashtags For April:

  • #AprilFools
  • #WAAD
  • #FindARainbowDay
  • #NationalWalkingDay
  • #LetsTalk
  • #EqualPayDay
  • #TaxDay
  • #NH5D
  • #NationalLookAlikeDay
  • #AdministrativeProfessionalsDay
  • #DenimDay
  • #EndMalariaForGood
  • #COUNTONME
  • #ArborDay
  • #NationalHonestyDay
  • #AdoptAShelterPetDay

May

May brings a lot of variety with it as there are plenty of good causes to raise awareness for, plus major sporting events and unique celebrations you can join in with.

Cinco de Mayo, the Kentucky Derby, and Memorial Day are just a few examples of events that will have lots of people paying attention and can make for great marketing themes.

Monthly Observances

  • ALS Awareness
  • Asthma Awareness
  • Asian Pacific American Heritage Month
  • Jewish American Heritage Month
  • National Celiac Disease Awareness Month
  • Clean Air Month
  • Better Sleep Month
  • Lupus Awareness Month

Weekly Observances

  • May 5-11 – National Pet Week
  • May 19-25 – National Travel & Tourism Week
  • May 5-11 – Drinking Water Week
  • May 6-12 – Nurse’s Week
  • May 12-18 – Food Allergy Awareness Week

Days

  • May 1 – May Day
  • May 1 – Law Day
  • May 1 – Lei Day
  • May 2 – World Password Day
  • May 4 – Star Wars Day
  • May 4 – International Firefighters Day
  • May 4 – Kentucky Derby
  • May 5 – Cinco De Mayo
  • May 5-10 – French Open
  • May 6 – National Nurses Day
  • May 6 – Yom HaShoah
  • May 8 – World Red Cross and Red Crescent Day
  • May 10 – World Lupus Day
  • May 11 – World Fair Trade Day
  • May 12 – Mother’s Day
  • May 13-19 – PGA Championship
  • May 14 – Yom Ha’atzmaut
  • May 15 – International Day of Families
  • May 17 – NASCAR Day
  • May 17 – Malcolm X Day
  • May 17 – Internet Day
  • May 19 – HIV/AIDS Awareness Day
  • May 20 – World Bee Day
  • May 20 – Victoria Day (Canada)
  • May 21 – World Meditation Day
  • May 25 – Geek Pride Day
  • May 26 – Trinity Sunday
  • May 26 – Indianapolis 500
  • May 27 – Memorial Day
  • May 28 – World Hunger Day
  • May 29 – Memorial Day

Popular Hashtags For May:

  • #RedNoseDay
  • #MayDay
  • #WorldPasswordDay
  • #StarWarsDay & #Maythe4thBeWithYou
  • #InternationalFirefightersDay
  • #CincoDeMayo
  • #MothersDay
  • #BTWD
  • #MemorialDay & #MDW

June

Once June has arrived, it’s finally starting to feel like summer. Everyone wants to make the most of the sunshine, and the positive energies are flowing.

Given that June also marks Great Outdoors Month, this is a great opportunity to make your brand a must-have companion for planning a beachside vacation or hosting a cookout.

You can also show your support for LGBTQ+ Pride, Flag Day, and Father’s Day, along with all the other events listed here.

Monthly Observances

  • LGBTQ Pride Month
  • Caribbean-American Heritage Month
  • Great Outdoors Month
  • Men’s Health Month
  • National Safety Month
  • National Zoo and Aquarium Month

Weekly Observances

  • June 2-8 – National Garden Week
  • June 2-8 – National Headache Awareness Week
  • June 10-16 – National Men’s Health Week
  • June 16-22 – National Roller Coaster Week

Days

  • June 1 – Global Parents Day
  • June 5 – Hot Air Balloon Day
  • June 5 – World Environment Day
  • June 6 – D-Day
  • June 8 – Belmont Stakes
  • June 8 – World Oceans Day
  • June 8 – National Best Friends Day
  • June 9 – Donald Duck Day
  • June 10 – Chinese Dragon Boat Festival
  • June 11 – Kamehameha Day
  • June 12 – Shavuot
  • June 13-16 – Bonnaroo Music Festival
  • June 14 – Flag Day
  • June 14 – Flag Day
  • June 16 – Father’s Day
  • June 16 – Tony Awards
  • June 13-16 – U.S. Open PGA
  • June 19 – Juneteenth
  • June 20 – Summer Solstice
  • June 23 – International Widows Day
  • June 29 – July 21 – Tour de France
  • June 30 – International Asteroid Day

Popular Hashtags For June:

  • #NationalDonutDay
  • #FathersDay
  • #NationalSelfieDay
  • #TakeYourDogToWorkDay
  • #HandshakeDay
  • #SMDay

July

July presents lots of opportunities for savvy marketers, from the 4th of July to the International Day of Friendship.

As we enter the summer slow-down period, there’s lots to celebrate that can help to feed your social media content to keep customers engaged.

So celebrate your independence, indulge in a little ice cream, and bring people together with one of the many events in July.

Advertisement

Monthly Observances

  • Family Golf Month
  • Ice Cream Month
  • National Parks and Recreation Month
  • National Picnic Month
  • National Independent Retailer Month
  • National Blueberry Month

Weekly Observances

  • July 15-21 – Capture the Sunset Week

Days

  • July 1 – International Joke Day
  • July 1-11 – Wimbledon
  • July 2 – World UFO Day
  • July 4 – Independence Day
  • July 6 – International Kissing Day
  • July 7 – World Chocolate Day
  • July 8 – National Video Games Day
  • July 11 – World Population Day
  • July 12 – Pecan Pie Day
  • July 16 – Moon Landing Anniversary
  • July 16 – MLB All-Star Game
  • July 17 – World Emoji Day
  • July 17 – Ashura
  • July 18 – Nelson Mandela International Day
  • July 20 – International Chess Day
  • July 20 – National Moon Day
  • July 21 – National Junk Food Day
  • July 24 – Amelia Earhart Day
  • July 26 – Aunt and Uncle Day
  • July 26 – August 11 – Summer Olympics
  • July 28-30 – Summer X Games
  • July 28 – Parents’ Day
  • July 28 – World Hepatitis Day
  • July 30 – International Day of Friendship
  • July 31 – World Ranger Day

Popular Hashtags For July:

  • #NationalPostalWorkerDay
  • #WorldUFODay
  • #WorldEmojiDay
  • #DayOfFriendship

August

We’ve hit the hottest days by August as back-to-school looms, and we welcome the return of football.

While many are topping up their tans and making the most of the final Summer days, August still provides lots of opportunities to align your content with wider events.

Make sure you’re using your marketing calendar to the fullest extent to post any sunny seasonal content promptly before fall arrives.

Monthly Observances

  • Back to School Month
  • National Breastfeeding Month
  • Family Fun Month
  • Peach Month

Weekly Observances

  • August 1-7 – International Clown Week
  • August 4-10 – National Farmers’ Market Week
  • August 25-31 – Be Kind to Humankind Week

Days

  • August 1 – National Girlfriends Day
  • August 1 – NFL Hall of Fame Game & Preseason
  • August 2 – International Beer Day
  • August 4 – National Friendship Day
  • August 7 – Purple Heart Day
  • August 8 – International Cat Day
  • August 9 – Book Lover’s Day
  • August 11 – National Son and Daughter Day
  • August 12 – Victory Day
  • August 13 – Left Hander’s Day
  • August 15 – Assumption of Mary
  • August 17 – National Honey Bee Day
  • August 19 – World Humanitarian Day
  • August 19 – Raksha Bandhan
  • August 20 – National Radio Day
  • August 21 – Senior Citizens Day
  • August 26 – Women’s Equality Day
  • August 30 – Frankenstein Day
  • August 30 – National Beach Day

Popular Hashtags For August:

  • #InternationalCatDay
  • #NationalBookLoversDay
  • #WorldElephantDay
  • #LefthandersDay
  • #WorldPhotoDay
  • #WorldHumanitarianDay
  • #NationalLemonadeDay
  • #NationalDogDay
  • #WomensEqualityDay

September

As fall begins, some of the bigger events happening in September are Hispanic Heritage Month, Grandparents Day, and, of course, Labor Day.

There are also plenty of other events to inspire you, from Oktoberfest to National Yoga Month. Plus, a National Coffee Day for those who struggle to start their day without a caffeine fix.

Monthly Observances

  • Wilderness Month
  • National Food Safety Education Month
  • National Yoga Month
  • Whole Grains Month
  • Hispanic Heritage Month (September 15 – October 15)

Weekly Observances

  • September 8-14 – National Suicide Prevention Week
  • September 15-21 – National Indoor Plant Week
  • September 16-22 – Pollution Prevention Week
  • September 24-30 – National Dog Week

Days

  • September 2 – VJ Day
  • September 2 – Labor Day
  • September 4 – National Wildlife Day
  • September 5 – International Day of Charity
  • September 6 – National Fight Procrastination Day
  • September 8 – Pardon Day
  • September 8 – National Grandparents Day
  • September 11 – 9/11
  • September 11 – Patriot Day
  • September 12 – Video Games Day
  • September 13 – Uncle Sam Day
  • September 15 – Greenpeace Day
  • September 17 – Constitution Day
  • September 21 – Oktoberfest Begins
  • September 21 – International Day of Peace
  • September 22 – World Car-Free Day
  • September 22 – September Equinox
  • September 24 – World Bollywood Day
  • September 24–29 – Presidents Cup PGA
  • September 27 – Native American Day
  • September 27 – World Tourism Day
  • September 29 – National Coffee Day (US)
  • September 29 – Confucius Day
  • September 29 – World Heart Day

Popular Hashtags For September:

  • #LaborDay
  • #NationalWildlifeDay
  • #CharityDay
  • #ReadABookDay
  • #911Day
  • #NationalVideoGamesDay
  • #TalkLikeAPirateDay
  • #PeaceDay
  • #CarFreeDay
  • #WorldRabiesDay
  • #GoodNeighborDay
  • #InternationalPodcastDay

October

It’s that time of year when pumpkin spice lattes roll around again.

While October is known as the spooky season to many, there’s much more to this month than just Halloween – there’s Teacher’s Day, World Mental Health Day, and Spirit Day, to name a few, around which your organization can look to create content.

Monthly Observances

  • Breast Cancer Awareness Month
  • Bully Prevention Month
  • Halloween Safety Month
  • Financial Planning Month
  • National Pizza Month

Weekly Observances

  • October 8-14 – Fire Prevention Week
  • October 13-19 – Earth Science Week
  • October 20-26 – National Business Women’s Week

Days

  • October 1 – International Coffee Day
  • October 1 – World Vegetarian Day
  • October 3 – National Techies Day
  • October 5 – World Teacher’s Day
  • October 6 – Oktoberfest Ends
  • October 7 – Child Health Day
  • October 10 – World Mental Health Day
  • October 11 – National Coming Out Day
  • October 12 – Yom Kippur
  • October 14 – Indigenous Peoples’ Day
  • October 14 – Columbus Day
  • October 14 – Thanksgiving Day (Canada)
  • October 16 – World Food Day
  • October 19 – Sweetest Day
  • October 20 – Spirit Day (Anti-bullying)
  • October 22 – Make a Difference Day
  • October 24 – United Nations Day
  • October 30 – Mischief Night
  • October 31 – Halloween

Popular Hashtags For October:

  • #InternationalCoffeeDay
  • #TechiesDay
  • #NationalTacoDay
  • #WorldSmileDay
  • #WorldTeachersDay
  • #WorldHabitatDay
  • #WorldMentalHealthDay
  • #BossesDay
  • #UNDay
  • #ChecklistDay
  • #Halloween

November

During the month in which we all give thanks, there is also a wide range of causes you can help out with or raise awareness for, like Movember and America Recycles Day.

You should also mark your marketing calendar for arguably the biggest sales events of the year – Black Friday and Cyber Monday (Dec. 2) – which are sure to be on everyone’s radar.

Monthly Observances

  • Native American Heritage Month
  • Movember
  • World Vegan Month
  • Novel Writing Month
  • National Gratitude Month

Weekly Observances

  • November 11-16 – World Kindness Week (second week: Monday – Sunday)
  • November 18-22 – American Education Week
  • November 18-24 – Game and Puzzle Week

Days

  • November 1 – Day of the Dead/Día de los Muertos
  • November 1 – All Saint’s Day
  • November 1 – World Vegan Day
  • November 2 – Melbourne Cup
  • November 3 – Daylight Savings Time Ends
  • November 5 – Election Day
  • November 8 – STEM Day
  • November 9 – World Freedom Day
  • November 10 – Marine Corps Birthday
  • November 11 – Veterans Day
  • November 13 – World Kindness Day
  • November 14 – World Diabetes Day
  • November 15 – National Entrepreneurs Day
  • November 24 – Evolution Day
  • November 28 – Thanksgiving Day
  • November 29 – Native American Heritage Day
  • November 29 – Black Friday

Popular Hashtags For November:

  • #WorldVeganDay
  • #NationalSandwichDay
  • #DaylightSavings
  • #CappuccinoDay
  • #STEMDay
  • #VeteransDay
  • #WKD
  • #WDD
  • #BeRecycled
  • #EntrepreneursDay
  • #Thanksgiving
  • #ShopSmall

December

December is here, and the end of the year is in sight.

Although 2025 is right around the corner, and you might want to start planning your content calendar for next year, don’t neglect your content in the run-up to the holidays.

Advertisement

Send your year off in style with marketing campaigns dedicated to events like Nobel Prize Day, Rosa Parks Day, Green Monday, and more.

You can even do a content wrap-up of your best moments from the year – and make sure to get your 2025 marketing calendar sorted early before the post-Christmas wind-down.

Monthly Observances

  • Human Rights Month
  • Operation Santa Paws
  • Safe Toys and Gifts Month
  • World Food Service Safety Month

Weekly Observances

  • December 9-15 – Human Rights Week
  • December 25 – January 2 – Hanukkah (Chanukah)
  • December 26 – January 1 – Kwanzaa

Days

  • December 1 – World AIDS Day
  • December 1 – Rosa Parks Day
  • December 2 – Cyber Monday
  • December 3 – International Day of Persons with Disabilities
  • December 6 – St. Nicholas Day
  • December 7 – Pearl Harbor Remembrance Day
  • December 7 – National Letter Writing Day
  • December 8 – Feast of the Immaculate Conception
  • December 9 – Green Monday
  • December 10 – Nobel Prize Day
  • December 10 – Human Rights Day
  • December 11 – UNICEF Anniversary
  • December 15 – Bill of Rights Day
  • December 18 – National Twin Day
  • December 21 – Winter Solstice
  • December 22 – Forefathers Day
  • December 23 – Festivus
  • December 24 – Christmas Eve
  • December 25 – Christmas Day
  • December 25 – Hanukkah
  • December 26 – Kwanzaa
  • December 26 – Boxing Day
  • December 31 – New Year’s Eve

Popular Hashtags For December:

  • #IDPWD
  • #NationalCookieDay
  • #NobelPrize
  • #WinterSolstice
  • #NYE

The Complete Marketing Calendar And Template To Plan 2024

You can find the link to our complete marketing calendar and template for 2024 right here.

By having a content plan set out months in advance, you can rest assured that you’ll have great ideas to work with throughout the year.

And just because you have a plan doesn’t mean you can’t adapt if something interesting happens later in the year.

Simply rearrange your calendar and work your trending content around key dates.

Keep track of what ideas work throughout the year and use them to help guide your marketing calendar for 2025, so you can double down on successful content ideas.

Advertisement

Featured Image: Paulo Bobita/Search Engine Journal

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

SEO

Content Pruning: Why It Works, and How to Do It

Published

on

Content Pruning: Why It Works, and How to Do It

Content pruning sounds pretty appealing: delete a ton of content and see your organic traffic improve. But pruning has risks (like deleting useful pages and useful backlinks), and benefits are not guaranteed: So how does pruning actually work? And when

Read more ›



Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

Trending

Follow by Email
RSS