Data Privacy Platform for Targeted B2B Campaigns
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Solution Overview
Problem
Current data processing systems for organizations fail to effectively utilize customer data for external B2B customers, leading to inefficient advertising and reduced return on investment, as they lack the capability to specifically target customers and protect privacy while providing only high-level data summaries.
Innovation Solution
A system that integrates data sources, processes data to create informative datasets, applies privacy techniques to protect sensitive information, and generates a target list of entities based on analytical scores, allowing users to access and utilize desensitized data for targeted campaigns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high-level data summaries are published to external B2B customers, then data privacy is protected, but the ability to specifically target customers is lost
Solution Approach 1:
The patent segments customer data into multiple layers: aggregated summary statistics for privacy protection, and individual-level data access through controlled interfaces for targeting. The system divides data access into different levels based on user needs and authorization, allowing simultaneous privacy protection and targeted marketing capabilities.
Solution Approach 2:
The patent introduces an intermediary data access layer that mediates between raw customer data and external users. This intermediary layer processes data requests, applies privacy rules, and delivers appropriate information - enabling targeted marketing while maintaining privacy through controlled data exposure.
2Productivity
If detailed customer data is made accessible to external B2B customers, then advertising effectiveness is improved, but privacy protection is compromised
Solution Approach 1:
The patent applies local quality by providing different data access levels to different users or user groups. Authorized users receive detailed customer data for targeted marketing, while general access remains aggregated. This localized differentiation enables advertising effectiveness for authorized users without compromising overall privacy protection.
Solution Approach 2:
The patent changes data access parameters dynamically based on user authorization, campaign needs, and privacy rules. Data granularity, access permissions, and exposure levels are adjusted as parameters to balance advertising effectiveness with privacy protection for different scenarios.
3Reliability
If aggregated customer insights are provided, then data security is maintained, but return on investment from advertising is reduced
Solution Approach 1:
The patent implements dynamic data access where the level of data detail provided to users changes based on their authorization, campaign performance, and privacy requirements. This dynamic adjustment enables organizations to provide more detailed data when it generates higher advertising ROI while maintaining security protocols, thus improving ad spend efficiency without compromising data security.
Data Source
AI summary
Disclosed is a method and system to process data collected from different sources to generate target list of entities. The system comprises plurality of modules comprising integration module, data filtering module, privacy regulation module, analytical module and campaign execution module. Integration module integrates source databases to collect and store data in base data layer. Data filtering module pulls data and filter data to store informative data in data store. Privacy regulation module filters sensitive data to prepare informative data by applying privacy technique. Analytical module analyzes informative data and generates analytical score. Campaign execution module generates target list of entities by processing informative data with analytical score based on user's request. User accesses informative data and analytical score through user interface wherein sensitive data associated with entity is hidden. Campaign is executed for target list of entities wherein entities are contacted to offer services from user.