Have you heard of artificial intelligence ? If you answer no to this question, it could only mean that you have spent the last few months locked in a cave. We are facing one of the most popular trends. A technology that is destined to be the future of marketing .
But we have a small problem. There are still many people who think that artificial intelligence is something far away given the complexity it implies. It is true that we are dealing with a sophisticated technology, but you should quickly remove from your mind the image that cinema and literature have created for you.
If your brand works with chatbots or predictive algorithms , you are already working with artificial intelligence. Even your favorite music or gaming apps are based on machine learning and, therefore, on artificial intelligence.
To make it clear whether your brand is using artificial intelligence, keep an eye australia phone number these examples. Specifically, there are eight that have been collected by Adweek and we want to explain why they are considered artificial intelligence.
1. Search Engines
The best example to understand this is Google's RankBrain tool . It guesses what users mean when they are searching on the search engine. And all thanks to machine learning .
2. Programmatic advertising
If you've ever worked with programmatic advertising , you'll know that it's based on leveraging information reported by algorithms. It allows marketers to deliver ads at the right time based on a number of factors determined by user data.
The artificial intelligence on which it is based is what allows advertising bids to be placed in real time.
3. In-image advertising
A type of advertising based on a system that acts like the neural network that makes up the human brain. One of the tools that works best on this technology is GumGum . It is capable of identifying dozens of objects, colors or people through images based on artificial intelligence .
In this way, technology is able to place the most appropriate advertisement in an image.
4. Consumer profile
When we do consumer profiling, we are analyzing large amounts of data. Through predictive analytics, marketers can even identify when consumers are experiencing an important moment in their lives and be able to act accordingly.
5. Lead nurturing
Automated sales assistants use artificial intelligence to establish introductory conversations with the company's potential customers.
6. Product marketing
Online retailers offer personalized product recommendations through collaborative filtering, a type of artificial intelligence that links website visitors with other consumers who have similar tastes.
7. Dynamic Pricing
Dynamic pricing systems use machine learning to set the best price for goods and services at a given time. The price is set based on how much people have paid in the past in similar circumstances for the same products.