Out of Home Digital Ad Server Demographic Targeting
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Solution Overview
Problem
Out-of-home digital advertising struggles to effectively target specific demographics due to the inability to build individual user profiles, relying mainly on geographical location, which limits the reach and engagement of advertisements.
Innovation Solution
A system and method for optimizing out-of-home ad serving by combining static, projected, and real-time data to select and display advertisements on digital boards based on demographic targeting, using data analytics to classify boards and adjust content in real-time to maximize reach and impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If ad serving relies on geographical location only, then device complexity is reduced, but demographic targeting precision deteriorates
Solution Approach 1:
The patent combines multiple data sources including static demographic data, projected event data, and real-time social media trends into a unified board classification system. This merging allows the system to achieve precise demographic targeting without requiring complex individual user profiling, thus resolving the contradiction between system simplicity and targeting precision.
Solution Approach 2:
The patent introduces board classification as an intermediary layer between geographical location and demographic targeting. Instead of directly targeting individuals, the system classifies boards based on their audience demographics and matches ads to board categories, achieving precise targeting while maintaining system simplicity.
2Device complexity
If ad placement is fixed based on initial board selection, then device complexity is reduced, but adaptability to real-time conditions deteriorates
Solution Approach 1:
The patent implements dynamic ad placement by continuously updating board classifications based on real-time social media trends and projected events. The system can change ad assignments in real-time without requiring complex reconfiguration, allowing the advertising campaign to adapt to current conditions while maintaining operational simplicity.
Solution Approach 2:
The patent incorporates real-time feedback loops where social media trends and event data continuously inform board classification updates. This feedback mechanism enables the system to automatically adjust ad placements based on current demographic patterns and events, achieving high adaptability with minimal manual intervention.
3Productivity
If ad serving maximizes number of impressions, then productivity is improved, but demographic reach quality deteriorates
Solution Approach 1:
The patent applies local quality by matching specific ad types to specific board demographic profiles. Instead of uniformly distributing ads to maximize impressions, the system tailors ad placement to local board characteristics and audience demographics, ensuring that each impression is more likely to reach the intended target demographic while maintaining overall campaign efficiency.
Data Source
AI summary
There is provided a method for an out of home advertising campaign, the method comprising: supplying creative for the campaign; determining criteria for the campaign, the criteria comprising targeting a demographic; selecting one or more boards for display of the creative, the selecting based on static data, projected data, and optionally real-time data; and displaying the creative on the one or more boards. There is also provided an out of home digital ad server comprising: at least one digital board; a digital feed provider to provide each board with creative to be displayed; a computer processor for analysing data to optimize board selection based on a demographic; and a communication network to direct creative from the ad serving processor to the at least one digital board based on the selection of creative by the computer processor.