CLAB Cycle Modeling for Multicultural Ad Language Targeting
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Solution Overview
Problem
Current targeted advertising fails to account for a person's ethnicity and cultural level, often delivering advertisements in a native language without considering the individual's cultural assimilation and life stage, leading to ineffective marketing.
Innovation Solution
A culture, language, and behavior (CLAB) Cycle tool that models the life stages of multicultural consumers, using formulas to generate a culture cycle model based on household size, income, and visits to the homeland country, and employs geofencing to deliver culturally relevant advertisements in the appropriate language.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional targeted advertising is used, then advertising can be directed towards audiences with certain characteristics (age, gender, income), but it fails to account for ethnicity and cultural level
Solution Approach 1:
The patent segments the ethnic group population into distinct cultural assimilation levels (first-generation, second-generation, third-generation) and further divides them by life cycle stages. This segmentation enables culturally relevant advertising for each segment while resolving the contradiction by systematically collecting and utilizing cultural assimilation data that was previously lost in traditional demographic targeting.
Solution Approach 2:
The patent adds new dimensions to traditional advertising targeting by incorporating cultural assimilation level and life cycle stage as additional classification criteria. This dimensional expansion transforms single-dimensional demographic targeting into multi-dimensional culturally-aware targeting, improving adaptability while recovering lost cultural information through systematic data collection.
2Adaptability or versatility
If advertising is delivered in native language to ethnic group members, then language accessibility is improved, but it fails to account for individual cultural assimilation and language preference
Solution Approach 1:
The patent applies local quality by tailoring language preferences to specific local segments within the ethnic group. Instead of uniform language delivery, the system identifies individuals at different cultural assimilation levels and life cycle stages, then delivers advertising in their preferred language (native or English) based on their specific local characteristics, improving language adaptability while collecting precise individual preference data.
Solution Approach 2:
The patent implements feedback mechanisms to collect and utilize language preference data from consumers. By monitoring consumer behavior, location data, and self-identified preferences, the system continuously refines its language selection for advertising delivery, improving measurement precision of individual language preferences while enhancing overall language adaptability.
3Adaptability or versatility
If geofencing is used to target consumers at specific locations, then location-based relevance is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by designing a geofencing system that serves multiple functions: location-based advertising delivery, cultural assimilation level identification, life cycle stage determination, and language preference detection. This multi-functional approach improves location-based targeting adaptability while managing device complexity through unified system architecture that handles multiple tasks simultaneously.
Data Source
AI summary
A method is disclosed for directing targeted advertisements to potential multicultural consumers, who are a subset of members of an ethnic group associated with a homeland country and a native language. Information data associated with the members of the ethnic group is retrieved, which includes an age, a household size, a household income, and a number of visits to the homeland country for each of the members. A culture cycle model for the ethnic group representing a plurality of life stages of the members is generated, and then at least one of the life stages to which the potential consumers belong is identified. Based on that identified life stage, characteristics of the advertisements to be directed to the potential consumers are determined, including a language of the advertisements, and then the advertisements are directed to the potential consumers.


