Venue Promotion Targeting via User Location Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current mobile social software systems primarily focus on individual users, failing to effectively provide venues with tools to attract and manage clientele based on demographic and behavioral data, limiting their ability to efficiently target promotions and optimize resource usage.
Innovation Solution
A system that utilizes mobile communication devices and a data processor to collect and analyze location and trait data of users, allowing venues to target promotions to specific demographics and behaviors, facilitating transactions and enhancing customer engagement through personalized offers and incentives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mobile social software systems focus on individual users for meeting people and locating acquaintances, then user social networking capabilities are improved, but venues' ability to target promotions and manage clientele is worsened
Solution Approach 1:
The system extends the mobile social software platform to serve multiple user types (individual users and venues) with different functions. Individual users gain social networking capabilities while venues gain promotion targeting and clientele management capabilities through the same system infrastructure, allowing one system to fulfill multiple roles simultaneously
2Loss of information
If venues lack access to demographic and behavioral data of people at the venue, then user privacy is preserved, but venues' ability to attract desirable clientele and optimize resources is worsened
Solution Approach 1:
The system introduces an intermediary layer that processes and anonymizes demographic and behavioral data. This intermediary enables venues to access aggregated demographic information and behavioral patterns for promotion targeting without exposing individual user identities, thus maintaining privacy while providing actionable insights for resource optimization
Solution Approach 2:
The system transforms raw demographic and behavioral data into aggregated statistical parameters and profiles that preserve privacy while enabling effective targeting. By changing the form of data from individual-level to aggregate-level parameters, the system allows venues to make informed decisions without accessing sensitive personal information
3Ease of operation
If venues send promotions to broad audiences without demographic targeting, then promotion distribution simplicity is maintained, but promotion effectiveness and resource utilization efficiency are worsened
Solution Approach 1:
The system enables venues to apply different promotion strategies to different demographic segments within their audience. Instead of uniform promotion distribution, venues can tailor promotions to specific demographic groups (e.g., age ranges, gender, interests) present at the venue, optimizing resource allocation while maintaining ease of operation through automated segmentation
Data Source
AI summary
Various systems are provided herein. One example system configured to receive a first electronic communication indicative of an electronic business transaction and GPS data of a mobile device, classify, via at least one statistical classification technique, a first member account associated with the mobile device as a venue candidate or a product candidate, determine a secondary venue, electronically select a promotional offer associated with a first business in accordance with the classification to the venue candidate or product candidate, the electronic selection comprising real-time monitoring of metrics associated with each of a plurality of businesses, and determining that a particular metric associated with the first business meets a pre-defined threshold identified by the first member account, and transmit, in real time, a second electronic communication indicative of the promotional offer and a particular venue at which redemption is to occur to the mobile device after electronically determining the promotional offer.