Campaign Customizing System for Personalized Marketing
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Solution Overview
Problem
Traditional marketing methods suffer from low sales conversion rates due to a lack of personalization in marketing campaigns, as they are not tailored to individual recipients.
Innovation Solution
A campaign customizing system that tracks recipients' interactions with marketing material, provides feedback, and generates a planned series of interactions tailored to their interests by using interactive surveys, data analysis, and AI to create personalized campaigns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional marketing methods are used, then the marketing campaign can be implemented with simple processes, but the sales conversion rate is low due to lack of personalization
Solution Approach 1:
The system performs preliminary actions by tracking recipient interactions with marketing material in advance, building a profile of interests and preferences before generating the custom campaign. This allows the system to have the necessary information ready before personalization is needed, resolving the contradiction by preparing data beforehand rather than creating it on-demand.
Solution Approach 2:
The system implements feedback loops by continuously monitoring recipient interactions with marketing material and using this feedback to generate and refine personalized campaigns. The feedback mechanism allows the system to adapt to recipient preferences dynamically, improving conversion rates while managing complexity through automated learning.
2Productivity
If personalized marketing campaigns are created for each recipient, then the sales conversion rate increases, but the system complexity and resource requirements increase
Solution Approach 1:
The system achieves universality by creating a multi-functional platform that handles tracking, analysis, profile generation, and campaign creation within a single integrated system. This allows the same system to serve multiple recipients with different preferences while managing complexity through consolidation rather than separate systems for each function.
Solution Approach 2:
The system implements self-service by automatically tracking interactions, analyzing data, generating profiles, and creating personalized campaigns without requiring manual intervention for each recipient. The automated processes reduce the operational complexity burden on human operators while maintaining high personalization standards.
3Adaptability or versatility
If interaction tracking and data analysis are performed for each recipient, then personalized campaigns can be generated, but the time and computational resources required increase
Solution Approach 1:
The system performs preliminary data collection and analysis by tracking recipient interactions as they occur, building profiles in real-time before the campaign generation phase. This preliminary action reduces the time needed during actual campaign creation, as the analytical work has already been completed or is ongoing in the background.
Solution Approach 2:
The system maintains continuous tracking and analysis of recipient interactions, ensuring that data collection is an ongoing process rather than a batch operation. This continuity allows the system to accumulate data steadily over time, reducing the computational burden and time required when generating personalized campaigns, as the analysis is continuously updated rather than performed from scratch.
Data Source
AI summary
The present disclosure provides systems and methods for personalizing a campaign to a recipient based on interactive surveys. A link to the interactive survey, unique to each recipient, is sent to each recipient to track survey responses. The systems and methods may track the answers, the time spent in each section, and the recipient's eye movement. Based on the tracked information, the systems and methods identify one or more interests of the recipient and match a related product to that interest. The systems and methods generate a campaign for the recipient based on the identified interests for the related product.