System and Method to provide a customized advertisement using a Push Notification
Publication Date: 2018-Dec-29
The IP.com Prior Art Database
System and Method to provide a customized advertisement using a
Mobile advertisements are a great way to connect to the end users quickly
and efficiently. Advertisements bring people's attention to available goods
and/or services via television (TV), newspapers, and social media. There are
multiple ways to provide a personalized notification to the mobile users. And
all of these are either decided by the advertisement server or by the mobile
server. These advertisements do not distinguish users according to their
tastes, interests, hobbies. And these advertisements generally do not involve
logic from the app. Existing advertisement display technologies do not use
push notifications technology to update the advertisements in a timely
manner. Our method is to invoke the ad updates by the server and allow the
mobile applications to decide when to display it accordingly.
The method is to conduct a learning phase where the mobile analytics is used
by the mobile application to gather the user details. These user details can
vary from behavior of the user, though not restricted to, locations visited by
the user, personal interests (clothes, food items purchased or viewed), places
user is visiting as per their calendar. These details are gathered periodically
from the mobile app by the mobile server as part of the learning phase.
Mobile servers has the intelligence to decide the advertisement for a specific
types of users, or a single user. This decision is based on the data collected
during the learning phase, decides to update the advertisement which is
displayed as part of the mobile application. As the decision is made to update
the advertisement, mobile server initiates the push notification. Mobile
application receives a silent push notification and based on the details in the
notification payload, the advertisement is updated.
This flow makes the Mobile servers and mobile applications to take control of
what the end user sees as the advertisement, rather than providing the control
to the advertisement servers.
Dynamic Personalized advertisement management is a key feature for any
This method provides a way to provide more controlled display of
advertisements to the mobile users. And this is not just restricted to the
mobile users and can be easily extended to the web users too.
A Learning phase of building the intelligence is conducted and data is
collected for individual users by the server using the mobile analytics.
Following are few details that is considered for collection, but not restricted to
this list –
• User location • User behavior / click in the app
• User interests which are collected by the app • User’s future travel locations
based on the calendar entries • Items purchased / viewed by the user
Based on the data collected, server applies the i...