1 BACKGROUND [0001] The subject matter of this application is related to information presentation. [0002] In recent years there has been a significant increase in online digital advertising. This is due to the significant increase in online users, and the flexibility of online advertising system in providing the ability to target specific subsets of users. This allows advertisers to directly target people that are most relevant to the advertisement. By using a selective process advertisers can target a specific groups of audiences. These target parameters can be based on location, age, sex and interests. This selective and real time process can be beneficial during the creation of an advertising campaign, where advertisers can refine their advertisement requirements in specifying an appropriate subset of people to receive the content. These platforms allow advertisers to place and remove targeted advertising at will and advertisement can be run for the duration of the pre specified budget of the advertisement campaign. [0003] In this application we describe a novel way of using a software platforms to manage Digital-Out-Of-Home (DOOH) advertising campaigns, as well as supporting user-targeted advertising. As currently no such system exists within Australia. Currently companies have to provide their advertisements to specific publishing companies who will then organise manual replacement of the advertisement based on a periodic rotation schedule. These advertisements are adjusted manually for each and every DOOH device. This is extremely inefficiently and time consuming and do not provide businesses who advertise with the flexibility and target that they need 2 in today's agile business environment; where advertisements needs to be launched and targeted towards specific audiences at short notice. BRIEF DESCRIPTION OF THE DRAWING Figure. 1 is an architecture diagram of the software system used for serving tailored content, based on customisation and conditional end user data. Figure. 2 is a workflow diagram of an example of a user journey through the software process. DETAILED DESCRIPTION Figure 1. Is an architecture diagram of our software architecture. [0004] [1] Refers to the Advertiser who comes to the software platform to place their advertisement for their Digital-Out-Of-Home advertising campaign. Advertisers can place one or more advertisements these advertisements can be grouped into an Out of Home Digital Campaign [3]. Advertisers have the option of specifying the display networks [11] that they want to show the advertisement. This can be tailored by postcode or specific categories such as display in CBD train station, display in office buildings, display in bus stops, display at wharfs and display in lifts just as an example. [00051 [10] refers to the customisation of the advertiser account information this includes the advertiser's personal 3 information as well as information regarding the company that they work for, how frequently they wish to be billed and their billing information. [00061 Advertisers can also specify the specific periods to display the advertisement [12] for example an advertisement for MacDonald breakfast offers might only show before 10am and an advertisement for lunch specials for a local popular restaurant may only show between 10am-lpm. [0007] Bidding functionality [6] exists within the software system to allow advertisers to make a bid for their advertisement to be shown. The advertiser who makes the highest bid will have their advertisement shown instead of another advertisers'. [00081 Advertisers can specify specific conditions with the User-Targeted Filtering module [5]. This module allows advertisers to specify conditions, for example if they wanted their advertisement to target a specific age group eg. 18-30 for a specific product. Some of the attributes that an advertiser can target are, 'Name', 'Location', 'Gender', 'Age', 'Friends on social', 'Interests', 'Recently browsed categories'. [00091 An example of this would be that a dating product website may target girls between the age of '18 - 35', with the gender specified as 'female' and lives within 5km radius of the surrounding area of postcode '2037'. [0010] Another example would be that of a funeral insurance services company that is targeting the elderly people who are 4 at least '60' years of age for their funeral insurance advertisement to be shown to. [0011] The Out of Home Digital Campaign [31 is a grouping of one or more digital advertisements. The Advertisers can specify specific campaign related conditions for example how many times to show an advertisement per day and the total budget specified for the campaign. This is so that once the total budget of the campaign has been consumed the advertisement will stop being shown to prevent unbudgeted costs for the advertiser. [0012] The Online Payment Module [9] is the module that allows advertisers to make payments towards their advertisement campaigns. The module can make periodic charges to the advertiser's credit card. The module will also generate periodic billing information to the advertiser so that the advertiser is aware of the amount charged. [0013] It is important for advertisers to know how frequently and how often their advertisements are being shown. As a result live statistics are very important to them. The Campaign Statistics module [7] provides live reporting to the advertisers on exactly where their advertisements are being shown and how many times it has been shown or interacted with. [0014] Once the Out of Home Digital Campaign [3] has been configured and saved. The Content Publishing Module [8] will publish the digital advertisements to one or more Digital-Out Of-Home display devices.
5 [0015] The Display Device [13] refers to any number of Digital-Out-Of-Home display devices which is used to display the digital advertisement. These devices can be any number computerised screens or projectors eg. LCD, LED displays, kiosks, jukeboxes, jumbotrons and wall projectors. [0016] The Tailored Content module [14] and the User-Target Module [15] uses information sent by the mobile Personalisation Information module [17] to tailor advertising directly to the person that is within range of the Display Device [13]. [0017] User Mobile Device [16] refers to any smart mobile device or tablet. These device can use a number of technologies and techniques to communicate with the Display Device [13], these can be Wifi, Bluetooth, GPS, 3G, 4G, Telecommunication Tower based GPS triangulation and other wireless data exchange techniques. [0018] Although displayed as several major systems. Each module in the architecture can form its own system. [0019] Figure 2. Is a workflow diagram which describes the end to end process advertisers go through to have their advertisement published from the software system to one or more Digital-Out-Of-Home display devices. On the software system the advertisers can customise the advertisement and define user attribute based conditions, so that only when the predefined conditions are satisfied will the advertisement be shown on the Digital-Out-Of-Home display device. The advertisements are then published by the software system to one or more display devices and are displayed according to the 6 conditions specified by the advertisers. This may be displaying the advertisement at a pre-specified time and date or only displaying specific advertisements based on a person's personal attributes. The statistics of the displayed advertisements are collected and are reported back to the advertisers. At the end of the workflow the system charges the advertiser according to the campaign configuration. PERSONALISATION INFORMATION [0020] The software system displays content on the display device such as advertisement based on a person's personalisation information data set. The personalisation information data set is defined using structured data that includes a series of value pairs. The defined information may contain information about a person's hobbies, interests, age, sex location and what categories of content they have recently browsed. As an example the personalisation information may include the following: Name: Tom Gao Gender: Male Age: 31 Location Postcode: 2037 Friends on social: 356 Interests: Sports, Music Recent browsed categories: Sports, Real estate, Food Where 'Name', 'Gender', 'Age', 'Location Postcode', 'Friends on social', 'Interests' and 'Recent browsed categories' are attributes and 'Tom Gao', 'Male', '31', '2037', 356', 'Sports, Music' and 'Sports, Real estate, Food' are values.
7 [0021] Personalisation information can be obtained from one or more third party sources these maybe from social network platforms, such as Facebook, Twitter, LinkedIn and Pinterest. Personal information could also be obtained from other means such as user registration.