We enter the era of Personalization

We enter fully into the era of personalization of the content that the user browses the Internet, and more and more companies that develop tools and applications for brands to access to provide this type of experience to the user who visits their websites. You probably have a site with hundreds or thousands of visits, that’s very good, but each visitor has their own patterns, motivations and objectives and you will agree that always showing the same content is not smart.

The solution is to offer personalized content that allows you to deliver the right content, to the right person, at the right time and in the right way

NDW through its online platform “Braindw” developed a suite of real-time artificial intelligence solutions that provide a series of functionalities that, based on visitor behavior, both historical and in real time, provide a series of contents adapted to their profile.

Let’s see how personalized content works: let’s say that you are the owner of a company called “A happy flight”, a company that offers all kinds of products related to flight simulators that you can imagine. Let’s take an imaginary case as shown, for example, Visitor 4002 who came to your site from a search term called “Joystick for flight simulators”.

When you get to your landing page you will find in the home page content that most likely does not align with your interests, but for a moment, is it possible that we can know more or have more information about the visitor 4002?

Hot sale in real time

It is essential to detect and intercept the user once he shows us a certain behavior, for example, a basic one, find out who is visiting our website. It is as if we knew that a certain person enters our store by sounding an alarm. From that moment we want to know everything possible about him, to capture it and transform an anonymous visitor into a faithful and loyal customer.

Applications such as Braindw, which works from installing a cookie in the user’s browser, can have that person’s data once they visit our store, and trigger an automated series of actions. The first thing we recognize is what is its geographical location or geo-location, as well as the device from which it is connecting.

For example, a welcome one, which may have different nuances, for example:

  1. If the visitor is a new visitor, we can present a proposal that will help you get to know and appreciate us better, presenting you with a banner with a registration box where you can leave your name and email, offering in exchange for leaving that information the possibility of know our best offers, so you will receive the same in your email box every time we detect that the user is accessing a certain category or visited a variety of products. We can also tempt you by offering you a unique and non-reusable discount coupon that will reach your email box.
    Once you leave the email, it is already cooperated, and from there, traceable every time you enter the site. In this way Braindw can, from certain rules, shoot actions such as printing banners or sending emails.

It stops being the visitor 4002 and it happens to be the user Pepe.gonzales@mail.com and it is integrated to the category of “contactable” through an email each time we validate a business rule that includes it

  1. If the entrant already visited us at some time, he “cooperated”, and left us traces of his preferences in the navigation of the site, we can group it with others that match those traces and integrate it in a certain audience. Braindw allows you to build a large number of audiences, making every time an individual is part of one of them and enters through the door, not only do we know that he is an old friend, but also what his tastes are and what types of products we can offer, anticipating your need, making you feel more identified with our site, perceiving that we adapt to it and presenting content relevant to your tastes and browsing habits.
    This will allow us to anticipate and predict in a fairly approximate way what is coming to search the site, or automatically detect that your need at that time is different from your usual behavior pattern since the online intelligence platform detects that He clicked more on a category that is outside his pattern.