Targeted Messaging System Using Lifestyle Segmentation
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Solution Overview
Problem
Healthcare entities face challenges in effectively communicating with patients regarding health issues, appointments, and billing due to varying responses from different lifestyle segments, as traditional methods like letters and phone calls are insufficient in ensuring information delivery.
Innovation Solution
A method and apparatus that retrieve recipient profile information from a database, compare it to target personas, and select pre-recorded automated voice call scripts based on minimum response thresholds to tailor messaging strategies, including voice gender, tone, and communication channels, to optimize engagement with specific lifestyle segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional communication methods (letters, emails, phone calls) are used to contact patients, then the communication process is simple and easy to implement, but the effectiveness of information delivery is insufficient and response rates are low
Solution Approach 1:
The patent segments the patient population into distinct lifestyle clusters (e.g., cluster 1: young professionals, cluster 2: families with children, cluster 3: retirees) based on demographic and behavioral data. Each cluster receives tailored communication strategies and messaging approaches, transforming the generic communication process into targeted segments that improve delivery effectiveness while managing complexity through systematic categorization
Solution Approach 2:
The system changes communication parameters (messaging tone, channel selection, timing, frequency) based on the identified lifestyle cluster of each patient. For example, younger patients may receive text messages during evening hours while retirees receive traditional mail during daytime, optimizing information delivery effectiveness without requiring overly complex manual processes
2Adaptability or versatility
If generic messaging is sent to all patients, then the communication process is simple and cost-effective, but it fails to account for different lifestyle segments and their varying responses
Solution Approach 1:
The system performs preliminary segmentation and analysis of patient lifestyle characteristics before communication occurs. By pre-cluster(ing) patients into lifestyle segments using available demographic and behavioral data, the system prepares targeted messaging strategies in advance, enabling adaptability to different segments without adding complexity during the actual communication execution phase
Solution Approach 2:
The patent creates a universal messaging platform that can serve multiple lifestyle segments simultaneously through a single system architecture. The system handles diverse communication needs (different channels, tones, timing) through unified software modules that adapt to each segment, achieving versatility without proportionally increasing system complexity
3Productivity
If targeted messaging based on lifestyle segments is implemented, then response rates and communication effectiveness improve, but the complexity of data retrieval, analysis, and script selection increases
Solution Approach 1:
The system implements self-service automation where the software automatically retrieves patient data, performs lifestyle cluster analysis, selects appropriate messaging scripts, and executes communication without manual intervention. This automation handles the complexity of data processing internally while maintaining high response rates, as the system serves itself through predefined algorithms and decision rules
Solution Approach 2:
The system incorporates feedback mechanisms that track patient responses to communications and use this information to refine future messaging strategies. By analyzing response patterns across different lifestyle segments, the system continuously optimizes its approach, improving productivity while the feedback loop manages complexity through data-driven adjustments rather than manual reconfiguration
Data Source
AI summary
A method and apparatus of processing pre-stored recipient information and configuring a targeted message to be sent to the recipient(s) is disclosed. One example method of operation includes retrieving a list of recipients and corresponding recipient profile information from a database, and comparing the recipient profile information to at least one target lifestyle segment or persona (e.g., demographics, healthcare spending, consumer spending, and media preferences). The method may also include identifying that the list of intended recipients' profile information matches the target persona, and selecting and transferring a pre-recorded, persona-tailored automated voice call script to the list of recipients according to a minimum response threshold value of the target persona.