Sponsorship Advertising | Sponsored content and its benefits

sponsorship advertising

Sponsorship advertising also called native or sponsored ads, is the system that brands use in order to pay for news services. Some people believe that it is two different things, while the former is merely informative. On the other hand, the second has more sales intentions.

Mainly, the sponsored content is to incorporate promotional articles by distributing them through news or editorials. In this way, the sponsored content integrates organically to the site in question. The important thing about this is that people don’t notice that it is an undercover ad.

There is a lot of criticism of this practice and severe questions about the ethics behind an announcement that seems not to be and that people do not recognize as such. What is undeniable is that the sponsored content definitely works. And this has been proven by sites such as Buzzfeed or even the New York Times.

Sponsorship advertising is the king

We know what they say in digital marketing: Content is the king. In fact, the whole premise of Inbound Marketing is based on this principle. In this case, the sponsored content is the response of brands to this premise.

As we have seen, millennials don’t like to be sold directly, they repel sponsored advertisements, so the adoption of sponsored content is a logical case. When it comes to digital marketing, this is a good strategy due to the large millennial population in the digital and purchasing platforms.

As we know, the original content generates engagement. So the sponsored content does it. But in addition to this, it generates awareness of the brand, without directly saying what you are selling.

Advantages of the Sponsored Content

  • Great opportunity for brands to approach their audience directly without large intermediaries that sometimes do not help them achieve their result.
  • They are the best way to have content generated by different people that really add value.
  • An excellent way to generate extra income for bloggers or influencers.
  • They can be an intelligent and efficient solution for brands if they know how to select channels.
  • For a brand to make a campaign of sponsored posts is how to have different ads with different tones. Unlike campaigns that have an expiration date, sponsored posts are born to stay until the end.

Netflix makes content sponsored in the New York Times

sponsorship advertising

A very clear example of this type of content is what the New York Times made to promote season two of the Netflix series, Orange Is the New Black. The newspaper launched an extensive report on the prisons for women in the United States and how inmates live in this situation. What should have been a journalistic piece by itself, was really content paid by Netflix, to make noise around the program. It was interesting the fact that the report didn’t mention the series at any time or directed the audience’s attention to it. In contrast, they only took the theme of the series as a pretext and developed something of journalistic value. But this is not always the case.

Perhaps, the main advantage of adopting sponsored content  -besides the clear economic benefit- is the fact that, if treated correctly, it will be seen as something that belongs on the site, hence it is called native. Consumers don’t usually notice the difference between a sponsored ad and an editorial piece, because -when done correctly-, it’s almost nil.

When talking about the launch of a new product in sites dedicated to technology or video games, for example, it is impossible not to speak directly about a brand or highlight positive qualities. This makes it necessary an explicit distinction that the content was ordered by the company behind the product, in order to get more criteria on the part of the reader. However, these warnings are ignored, due to the interesting nature of the article or, simply, for issues of attention and retention of the audience.

Also, the sponsored ad appears on social platforms within the users’ own feed, since it belongs to the regular content of a site. In this way, it doesn’t need to be marked (as in Facebook guidelines as sponsored content), but it is integrated in a natural and organic way to the rest of the content. That’s why it makes even more difficult to identify them and increases the possibility of awareness and, depending on how it is played, the return on investment.

Sponsored Content on Instagram

This label has emerged as a result of the large amount of publicity introduced by celebrities and influencers in the most popular photographic social network. For this reason, the US authorities have demanded that the social network clearly identify when it comes to advertising. In this way, the users who carry out advertising campaigns with brands on Instagram have the power/obligation to point out that photography is advertising (sponsored ads). And with this, do not conduct covert advertising that until now was what was being done.

It is clear that it is very complicated to establish to what extent a publication is advertising or is the recommendation of the user. Which becomes more difficult when the person owns or shares a specific brand.

sponsorship advertising

There is a risk of loss of journalistic credibility if the resource is abused. So, the most ethically correct and viable thing is to show clearly and honestly what is an editorial piece and what is a sponsored content. In this way, the integrity of the medium is not sacrificed and you can obtain all benefits previously named.

Do you want to incorporate sponsored content into your digital strategy? Get closer to LDM; We can help you reach a wider audience.

Machine Learning Technologies | The secret behind algorithms

Machine Learning Technologies

It is no secret that one thought has crossed our mind on many occasions: We would like to predict the near future of our company, or to know what our customers want. This is possible with Machine Learning.

Companies must understand that information is the greatest resource they have, so databases are their most valuable resources.

By knowing the information of its users, you can predict consumer behaviors.

And by detecting those behavioral patterns, we can plan what measures need to be implemented.

Machine learning

Before, we used to think of an Artificial Intelligence (AI) of robots that solved problems for humans. But today, it exists as process automation, and data collection that we apply to company projections.

Machine learning, was born as an ambitious idea of ​​AI in the 1960s. To be more exact, it was a subdiscipline of AI, a product of computer science and Neuroscience.

What this branch intended to study, was the recognition of patterns (in engineering processes, mathematics, computing, etc.) and learning by computers. At the dawn of AI, researchers were eager to find a way in which computers could learn only based on data.

We work in probabilistic reasoning, statistics-based research, information retrieval, neuromarketing. By joining all this, is created a profile style of our customers.

advanced machine learning

In this way, with AI, we are able to create alerts and projections once you recognize patterns that users have had and others go in the same line.

Nowadays, companies know that decisions are made based on data. This is why, the better the information, it will offer more value to perform the projection.

Netflix, Real Case in Machine Learning Technologies

netflix machine learning technologies

Netflix is a great example: We understand that Machine Learning is born from artificial intelligence, and seeks to create an effect in its database.

Through different algorithms, as well as lessons learned from other users, it is capable of predetermining profiles. This is why sometimes, it recommends movies that it thinks we would like, because other people have seen it.

Even in its last upgrade, it decided to show it as a percentage, where it tells us how close or near it is to our preferences.

This is why with Machine Learning, Netflix tries to personalize your experience, based on your preferences and those of similar people.

The algorithm learns the things you like, and based on that, selects a flow of information (in this case movies and series) to display.

Consider these ideas for Machine Learning

Now that you know that you have no limit to apply the Machine Learning to different aspects of your company, we leave you a list of ideas that you can implement:

  • Create a dynamic and automated database with all the information that is relevant to your customers.
    If you know their preferences, so when they visit your page you can offer product recommendations.
  • Offer products such as the probability that the buyer will look for seasonal items.
  • Personalized marketing is based on a simple principle: the more you can know about the customer and his behavior, the better he can serve you and will result in more sales.
  • Avoid money laundering. Paypal has tools that compare millions of transactions and can distinguish precisely between legitimate and fraudulent transactions, between buyers and sellers.

And if you still want to know more about AI and ML, here is a video that tells us more about it:

https://youtu.be/VvTYuQPINec

And if the world of Machine Learning has captivated you as much as we do, get to know more about programmatic.

As a Performance Agency, we work to take your brand to the next level. Contact us!