SKOLEOM CERTIFICATION: The Associative Predictive Algorithm per Category (TAPAC)
Predictive marketing, or the use of artificial intelligence to predict consumer behavior, has long been the subject of science fiction movies and TV shows. But as this technology becomes increasingly more advanced, it’s not just something that only exists in the digital world anymore – it’s making its way into reality, too. SKOLEOM AI can predict consumer behavior by analyzing content and figuring out what types of stories consumers like to hear and what kind of content will compel them to respond with real-world action (such as buying products or services). The ability to harness this sort of data could have powerful implications for the future of marketing campaigns.
SKOLEOM AI will redefine how we market
AI has already begun making its way into marketing through channels like advertising and email, but in order to take advantage of what SKOLEOM AI has to offer, brands will need to learn how to market using a technology that can adapt and think on its own. As humans, we’re limited by our own capacity for decision-making, which results in a static, repetitive cycle. Whereas SKOLEOM AI can make hundreds or thousands of decisions per second without becoming exhausted or bored. The real value of SKOLEOM AI is that it can redefine how we understand consumer behavior—not just now, but tomorrow too. Consumers want personalized products and services; businesses want detailed data about their customers; everyone needs help staying relevant in a rapidly changing world. SKOLEOM AI offers us all these things and more, allowing us to continue developing new solutions as quickly as change demands it.
How SKOLEOM AI can make better predictions ?
In order to understand how SKOLEOM AI can be used to predict future consumer behavior, we need to first understand what artificial intelligence actually is. Artificial intelligence, also known as AI, is technology that allows computers to think for themselves and make their own decisions based on previous experiences with similar situations. Through a machine learning process called skoleomization, SKOLEOM AI makes predictions based on what it has learned from past experience. The more information it has processed, and fed through its system, the better its predictions will become. Machine learning is one of several types of AIs, along with simulated neural networks (which enable AIs to behave like living brains), expert systems (which combine rules and reasoning) and genetic algorithms (which improve themselves). The main limitation currently in place is processing power. For an AI algorithm to work properly it needs time and data; therefore, they are most efficient when working in large amounts of both. Currently there are plenty of applications in which AIs are being used today including speech recognition software such as Apple’s Siri or Amazon’s Alexa, self-driving cars like Tesla’s or Google’s Waymo project or predictive gaming tools that allow gamers access to historical player data in order to anticipate future outcomes.
A world with intelligent machines
While we don’t have machines that can predict what will happen in their world, SKOLEOM AI is getting closer and closer to simulating it. More importantly, data mining is all about taking clues from past events and using them to make better decisions for future outcomes. With SKOLEOM AI, you can use massive amounts of historical data to build predictive models for your business. This could include things like tracking click-through rates on your ads, identifying which content users engage with most often, or helping you determine a budget that fits your budget while still bringing in as much profit as possible. In short: there are a lot of ways an intelligent machine can help improve every aspect of a business, including marketing—especially when paired with humans who know how to put those insights into action!
The Associative Predictive Algorithm per Category (TAPAC)
SKOLEOM has developed “The Associative predictive algorithm per category”.
This algorithmic program allows in particular :
- according to the customer’s navigation on the web,
- according to his geographical area,
- according to his profile (age, sex, professional social category ..),
- according to his available income, (bank account, debt rate…)
to predict his behavior, to know his needs in real time before he even takes action,
and to propose an adapted offer instantly.
These predictions are based on statistical models that use Big Data.
When a keyword is typed on a search engine, the site integrated with a skoleomized video will be highlighted in the consumer’s searches. Upstream, a natural referencing and optimized “Quantum SEO” will direct the viewer’s activity towards the website/product/service they are looking for towards a skoleom video
that embeds the requested information.
A facebook user who has previously searched on his Google search engine for the keyword “cheap airfare to New York in December 2021”, will come across a skolemized video on his Facebook profile that will offer him this trip:
A video clip of Alicia Key – New York.
If the Facebook User clicks on the travel capsule in the video, he can book his plane ticket to New York, and will automatically have :
- a price corresponding to his usual average shopping cart,
- an identification of a hotel that usually corresponds to his tastes,
- a preparation of his stay complete with organized outings corresponding to his lifestyle ….
If the global budget of the stay (flight, accommodation, catering…) is seen as too expensive by the SKOLEOM PAY AI, SKOLEOM PAY AI proposes to the user to take a bank credit immediately so that it validates its act of purchase in its totality:
according to all its desires without any frustration, and, especially according to its available incomes at the second when it books its plane ticket.
Thus, SKOLEOM AI tracks the viewer’s tag in all his customer experience on the web, towards the “expected” site/product/service inside the skoleomized videos.
According to a recent study by Gartner, Inc., marketing teams use analytics for about 80% of marketing efforts, but analytics make up only 30% of their budget. Only a few years ago, most businesses spent more than twice as much on technology than they did on marketing. What’s different today? As technology continues to grow and improve, it can play an increasingly important role in how you do business and even how you train your employees. For example, using predictive technology with SKOLEOM AI can be particularly helpful when it comes to understanding what content to market and when—so that customers will receive information at just the right time.