Short Message Tool for Social Media Revenue Attribution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
It is challenging for companies to generate a clear matrix of relationships between multiple social media handles, identify relevant or dependent handles, and leverage data for analytics to determine revenue generation and social media platform reputation impact.
Innovation Solution
A system and method for identifying and correlating relationships between multiple short message user names by collating data from all company-related short messages, generating reports that map content, customers, and revenue, and showcasing the impact of short messages on a particular organization, customized based on lines of business, number of short messages, re-tweets, favorites, and individual user information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If companies monitor multiple social media handles across different platforms, then they can reach diverse audiences and amplify their presence, but it becomes challenging to identify relationships between handles and leverage data for analytics
Solution Approach 1:
The system segments the complex social media data analysis by creating separate analytical modules for different aspects: handle relationship mapping, content performance tracking, revenue attribution, and sentiment analysis. Each module processes specific data types independently before integrating results into comprehensive reports.
Solution Approach 2:
The patent introduces an intermediary data processing layer that collects, standardizes, and correlates data from multiple social media platforms before presenting it to users. This intermediary layer translates diverse platform-specific data formats into a unified analysis framework, making the complex data manageable and actionable.
2Quantity of substance
If companies track detailed data from multiple handles including re-tweets, favorites, and user interactions, then they can generate comprehensive analytics, but it becomes difficult to determine revenue generation and reputation impact
Solution Approach 1:
The system implements feedback loops that continuously refine revenue attribution models by comparing tracked social media activities against actual sales data and customer feedback. This allows the system to learn from discrepancies and improve the precision of revenue generation measurements over time.
Solution Approach 2:
The patent employs dynamic parameter adjustment in the analytics model, where weighting factors for different social media activities (re-tweets, favorites, mentions) are automatically adjusted based on their demonstrated correlation with revenue outcomes. This adapts the measurement precision to actual business impact.
3Ease of operation
If companies generate customized reports based on lines of business, number of short messages, re-tweets, and favorites, then they can gain actionable insights, but it requires processing and organizing large amounts of diverse data
Solution Approach 1:
The system performs preliminary data organization and aggregation before report generation by pre-segmenting social media data according to lines of business, handles, and interaction types. This preliminary structuring enables rapid customization of reports without reprocessing raw data each time.
Solution Approach 2:
The patent creates a universal report generation framework that handles multiple data types (re-tweets, favorites, mentions, direct messages) and multiple business objectives through a single integrated system. This multi-functional approach improves processing efficiency by avoiding redundant operations.
Data Source
AI summary
A system, method, and computer-readable medium are disclosed for providing a short message tool for identifying and correlating relationships between and among multiple short messages. The short message tool collates the short message data from all company related short messages and generates a report and create a map between the contents, customers and the revenue. Such a multiple short message tool defines a workflow to generate a report from multiple short messages. More specifically, in certain embodiments the customized report may be customized based on based on lines of business (LOBs), number of short messages and re-generation of short messages (referred to as re-tweets when the short messages are Twitter type short messages), favorites, and information about individual users.