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Algorithms: What They Are And How To Use Them In Digital Marketing
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Algorithms: What They Are And How To Use Them In Digital Marketing
Steps to Using Algorithms in Digital Marketing
- Choose the Most Suitable Channels
- Create Quality Content
- Follow the Updates
Have you ever stopped to think about how each social network selects the publications on its home page?
In a world driven by technology, it is common to hear the question “what is an algorithm?” ever in life. This is because algorithms have contributed to technological evolution in recent decades and are increasingly complex, having a goal: to understand human behavior on the internet, especially in social networks.
It is common that when thinking about algorithms, millions of mixed codes, computers and technology come to mind. The concept of algorithm is simply the most fundamental existing in the field of computing, in fact. Due to social networks, currently, this term has become quite popular, as they control these virtual environments.
Algorithms have the power to influence many aspects of people’s everyday lives, such as advertisements, recommended videos, and movie and music suggestions. What’s more, there are companies that are implementing algorithms in their selection processes, selecting the best candidates for a given vacancy.
Given this, the importance of understanding everything about algorithms is notorious. Therefore, we invite you to continue reading and get to know the world of algorithms.
But After all, what is an Algorithm?
Historians differ on the origin of the word algorithm, or even where its practice originated. But regardless of its actual etymology, the word refers to the systematic description of how to perform a task.
We can cite as an example of algorithms a cooking recipe, it has the necessary ingredients, step by step to make the recipe and the final dish, that is, the result.
When transferring the concept to information technology, it was re-signified, as automated actions receiving input values (input) and producing output values (output).
In computer science, the concept of an algorithm was formalized in 1936 by Alan Turing and Alonzo Church. They stated that an algorithm is an unambiguous and ordered set of executable steps that define a finite process.
They have contributed to the technological evolution seen in recent decades and are increasingly complex.
Computers work by responding to commands from a series of codes pre-established by algorithms. Usually when a computer crashes, the commands it received were not programmed to be carried out.
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What is the Importance of Algorithms for Digital Marketing?
Algorithms are a fundamental part of the structure of any digital marketing action. These search engine tools and other platforms are responsible for identifying suitable pages for your ads.
Algorithms are in many aspects of your life, often without you even knowing it.
Since these tools are widely used in several areas to identify patterns and offer better results for your searches.
Its use varies greatly among the resources available on the internet for its use, take a look at where the algorithms are found:
• Social networks;
• Video Platforms;
• Web radios;
• Search tools.
The impact of algorithms allows these tools to be able to offer the best possible content based on your interactions and history.
Therefore, many artesian well logging companies have sought a better understanding of these tools to use the best of their resources.
When you create a digital marketing campaign, the main goal is to get your brand seen.
For this to happen, you often depend on the algorithm, which identifies whether your material is relevant enough to your audience.
Therefore, companies that manage to understand the operation and development of algorithms end up coming out ahead in marketing matters.
Since he knows how to explore resources with quality and takes the opportunity to present good research material.
In its creation, the algorithm is nothing more than a sequence of rules, whose objective is to solve problems that were previously identified. This is reasonably simple and straightforward programming.
Through fixed steps, the algorithms identified situations and managed to solve them, such as finding a hearing aid.
That was the basis of search engines for a long time. However, with the advancement of the internet, many people began to understand and abuse this type of operation.
Malicious people circumvented the system to leverage their results faster, regardless of the quality of service offered to the customer. This turned out to be a problem that search engines had to solve.
The idea in this case was to reframe the term algorithm, taking advantage of the digital transformation that has taken place around the world to modernize this resource.
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The algorithms then began to be used as an artificial intelligence. Thus, when searching for the structural masonry foundation, the refinement of the search was much greater. This means that the tools ended up becoming “smart”.
With much more complex programming codes, the algorithms can identify fraud and attempts to pass through the analysis system created by the programmers, and can ignore these options.
Through even more modern resources, such as machine learning, algorithms have become self-regulating, allowing for their own evolution as a work tool.
This means that the algorithms are able to update themselves without even the need for human involvement, leaving specialists on standby only in case of system failures, which are very rare.
How Does an Algorithm Work?
The algorithm does a series of functions in an instant, all in an automated and intelligent way, without the need for adjustments in the middle of the process.
However, no developer explains in detail what information is used by the tool.
When you search for technical assistance on an analog time clock, it is not possible to define the ranking criteria.
This is done in this way to prevent people from trying to circumvent the algorithms again, creating accounts and websites specifically to be found and generate engagement for the page, even if there is no relevant content there.
Therefore, there is a whole profession of research and experimentation that works to understand this type of resource.
Understanding the areas that most affect search engine algorithms is an excellent way to be able to exploit these tools.
Some elements are common among most companies, which end up being guides on how to create good content.
The truth is that these guides usually end up leading the producer to improve their content as a whole.
It is a constant that the quality of the material has a strong impact on the final result.
This is because the main objective of search engines is to win over customers, so that they continue to consume your motoboy delivery company material.
This is only possible when you create quality material. This will make people want to keep reading whatever you have to say, and it will tell the tool that your site is quality enough to be at the top of a search list.
However, each tool, including social media and video platforms, has different elements that their algorithms use to be able to present diverse, production-quality material to the user.
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Algorithms and Digital Marketing
Digital marketing actions use the concepts of algorithms a lot for their creations, mainly because they are fundamental pieces to build a structure or campaign.
An action that aims to increase the number of visitors to your website about bending and fountain cutting tools depends on algorithms for people to find your material and discover your pages.
Therefore, it is important to know how to deal with this type of resource, to achieve the best possible results.
While it’s not possible to figure out exactly what you need to do to get good results, it’s possible to get some ideas about the material.
To get a better understanding of these tools, you need to understand some of the benefits that algorithms have, so you know how to deal with them.
1- Content Mediation
The first point that is important to pay attention to is content mediation. In many places, too much information can become a problem, leaving your screen cluttered and impractical. This is a very common fact on social networks.
Because of this, some of these networks use algorithms to separate content by the type of material you are most interested in, based on your consumption pattern.
This is measured by likes, comments and shares, interactions in general.
So when you look for preventive and corrective maintenance for your BMW, you end up getting similar information.
Although there are criticisms about this, especially that the algorithms force a type of display for the user and prevent him from receiving other important materials, the tool is generally very positive.
This is because it manages to determine what can be shown to each user, based on their tastes and desires, which ends up generating a digital environment that is much more conducive to content consumption.
Thus, excessive and irrelevant information for a common user ends up being left aside in favor of a more targeted navigation.
2- Effective Automation Tactics
Most organizations already use many algorithms, sometimes without even knowing it. This is because they are the basis of modern automation, especially with regard to processes.
For a machine to be able to work alone, it needs information, which is presented by algorithms.
These tools are responsible for many of the most modern developments, especially in the concept of machine learning. Through algorithms, artificial intelligences are able to update themselves without the need for a human element.
In this way, you can exploit your company’s valuable resources, leaving automation tools to take care of mechanical and automated processes, and allowing your team to focus on more important areas of work.
When you use the machine learning technique, you allow algorithms to capture the data input provided by the equipment, identifying elements that were not in the original programming and evaluating whether entering the data is worthwhile.
If the algorithms decide to update, the upgrade is done automatically in a matter of seconds, allowing the machine to be fully functional and integrated with the new information.
This can be repeated countless times, and it is important to keep in mind that this type of resource does not eliminate the need for a specialized professional to maintain the equipment, but it makes it much easier in terms of agility.
3- Evolution of Devices
Most of today’s technological devices are already based on algorithms for their operation.
The more possibilities and functionality a tool has, the greater the chances that it needs some kind of algorithm for its correct functioning.
Although they still require frequent analysis and maintenance, these elements are increasingly spreading in everyday life, and becoming part of common elements.
Some electrical technical advisory companies are already applying the concept of algorithms even to assist in decision making.
How Are Algorithms Used on the Internet?
When exploring the world of algorithms, we can go through a multitude of fields and also examples.
Next, we highlight the use of these models in the most used social networks and online tools, such as Google and Spotify, directing a more specific vision for digital strategies. Follow!
It is likely that Google’s algorithm is the best known and it is no coincidence that its secret is very well guarded by the company.
PageRank, as it is called, was created in 1998 with the aim of tracking and presenting search results to the user by relevance.
The importance of a site was determined by the number of sites linked to it, which made it relatively easy to circumvent the results, giving rise to the black hat, which uses bad practices to try to “cheat” PageRank.
Since then, Google has already promoted a series of changes in the algorithm, starting to consider hundreds of variables for a page to be ranked.
Currently, the model checks for issues such as user preferences, device used, content quality, location, etc.
Facebook was the first social network to use algorithms to categorize posts and use criteria to define what would or would not be displayed to each user. The goal was to show the most relevant content according to user behavior, preferences and engagement.
Despite criticism of the company, the excess of publications makes it difficult for a person to follow everything that happens on the network.
In this way, some of the thousands of criteria used by the social network to define the composition of the feed are:
• Posts to be shown;
• Level of proximity of the user with whom the content was posted;
• Engagement of other friends with the publication;
• Potential user engagement considering previous behavior.
Therefore, several elements are considered by the algorithm before defining which content will be displayed in the news feed, seeking more relevance and user engagement on Facebook.
Unlike other social networks, Twitter does not exclusively use the algorithm to determine the feed. This is due to the chronological character that needs to be maintained by the network in order to meet the objective of making the most recent events available.
To achieve this goal, the social network considers:
• Previous user behavior;
• Preference for themes and content formats;
• Relationship of the user to the account that posted the tweet;
• Engagement of the tweet itself.
Based on these criteria, the tweet can be inserted into the 3 categories used by Twitter, which are:
• Ranked Tweets: are the most relevant to the user based on their previous behavior and engagement on the network itself;
• In case you missed it: those that are relevant but older;
• Timeline: where all tweets are displayed in chronological order.
With these structures, Twitter allows the user to access most of the contents and, above all, find out about the news on the social network.
When it was founded, Instagram followed the same chronological logic as Twitter, displaying all posts in order, from the newest to the oldest.
This structure was changed in 2016 and, currently, the social network considers the following factors to scale how users' feeds will look like:
Given this, it appears that the algorithms used tend to become more complex, including new variables, with the aim of making them more accurate.
YouTube
Back in 2005, when YouTube first appeared, the algorithm used looked only at how many times a video had been started to determine ranking. However, this made content producers prioritize appealing and even sensational headlines.
YouTube realized that this practice did not guarantee the quality of the content and, since 2012, the algorithm considers the average viewing time, encouraging good practices when managing a channel there.
As a result, the site’s recommendations guarantee greater content quality and relevance to the user, ensuring a better browsing experience.
Spotify
With more than 40 million users, Spotify launches a weekly “discoveries of the week” playlist, which is personalized for each listener and contains 30 songs.
Some of them, probably, the user has never heard, but may like, according to the algorithm.
The goal is to create new experiences, but to achieve this goal, the tool uses different data to process the information.
Among the criteria used are:
• The user’s musical profile, considering the genre he likes to listen to and also recent artists;
• How other users combine songs, adding certain musical groups or songs in playlists;
• Considering the user’s preferences and what the algorithm has learned from the others, 30 songs that have not been played by the listener in the tool are chosen.
Spotify has been dedicated to improving the algorithm used to improve the suggestions and lists created, using an extensive Machine Learning model.
The system learns preferences and even identifies whether a song is happy or sad, seeking a more accurate recommendation to improve the user experience.
How Can Algorithms Improve Digital Marketing Strategies?
With everything we’ve seen so far, it’s possible to see that the algorithms that we initially explained as a system of instructions with a specific objective, take on quite complex contours as they are used in more robust areas, such as digital marketing.
Currently, the model can be combined with Machine Learning and generate more complex and surprising results, making it essential for anyone working in this area to know these possibilities.
Next, we highlight some ways to use algorithm knowledge in digital strategies. Check it out below!
1- Choose the Most Suitable Channels
If the marketing manager knows the company’s strategy and the criteria considered by the algorithms of the different social channels, it is possible to list on which platforms the solution proposed by her can be more effective and generate better results.
For example, if the strategy is more based on engagement, Facebook is highlighted, however, if the objective involves many publications of more urgent content, Twitter becomes more suitable.
So, knowing how each platform works, along with other criteria, it is possible to list which one tends to contribute more to the online presence of the brand.
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2- Create Quality Content
Regardless of the channel used and persona, the different companies have a common goal: to improve the user experience.
In this way, it is essential that there is quality and relevance in the contents created for the different platforms, in addition to considering the SEO strategies to execute them.
For example, a campaign publicized on Facebook and Instagram must consider the particularities of each network’s algorithm in order to be more interesting and thus gain greater prominence.
3- Follow the Updates
Algorithms undergo constant changes to improve the user experience and avoid negative practices such as black hat. It is estimated, for example, that Google makes more than 500 changes per year to the PageRank algorithm.
Although it is difficult to know all changes in algorithms, the most important ones are always disclosed, and it is essential that marketers are aware of these particularities in order to adjust and improve online strategies and not lose results.
FAQ – Frequently Asked Questions About Algorithms in Digital Marketing
1. Where are algorithms used most often?
2. What is the importance of the algorithm for our daily life?
3. Why use machine learning?
4. Do digital marketing actions use algorithms?
Conclusion
Algorithms are an important working tool for any type of digital interaction.
These are key elements for a better understanding of how Internet tools work, from search engines to social networks.
Therefore, it is important to have a more in-depth knowledge of the tools and how to work with them.
Since its specificities are reserved for its developers, working on the features that work best on this type of platform is essential.
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