Mobile Commerce Marketing Message Delivery System
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Solution Overview
Problem
Current mobile-commerce systems underutilize opportunities for sending targeted marketing messages to mobile-device users during and after transactions, lacking effective methods to leverage historical transaction data for personalized promotions.
Innovation Solution
A computer-server-based method and system that ascertains transaction types and parameters, accesses historical transaction data, and generates and transmits marketing messages to mobile devices before, during, or after transactions, using a mobile-commerce platform to provide personalized marketing messages based on user behavior and transaction details.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If mobile-commerce systems send marketing messages to users, then customer engagement and marketing effectiveness are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent segments the marketing message delivery system into distinct functional modules: a message generation component that creates personalized messages based on transaction data, a message queue component that manages message delivery timing, and a notification component that sends messages to users. This segmentation allows the system to handle complex marketing operations through simpler, specialized components.
Solution Approach 2:
The patent introduces a message queue as an intermediary component between the transaction processing system and the notification system. This queue buffers and manages the flow of marketing messages, decoupling the message generation from immediate delivery and allowing the system to handle variable message volumes without overwhelming other components.
2Loss of information
If the system analyzes historical transaction data to personalize marketing messages, then message relevance and user engagement improve, but data processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary analysis of transaction data by maintaining user profiles that pre-process and organize purchasing patterns, preferences, and behavioral data. This preliminary action allows the system to quickly retrieve relevant information when generating marketing messages, rather than analyzing raw transaction data in real-time.
Solution Approach 2:
The patent transforms raw transaction data into meaningful parameters and metrics that characterize user behavior patterns. By converting detailed transaction records into aggregated statistical parameters (such as purchase frequency, average spend, product categories), the system reduces data complexity while preserving the information needed for personalized messaging.
3Productivity
If marketing messages are sent during active transactions, then immediate customer response and conversion opportunities improve, but user experience and transaction flow may be disrupted
Solution Approach 1:
The patent implements dynamic message delivery that adapts to the user's current transaction state. The system monitors transaction progress and adjusts message timing and content based on whether the user is browsing, comparing products, or ready to purchase. This dynamic approach ensures messages are delivered at optimal moments without disrupting the transaction flow.
Solution Approach 2:
The patent uses periodic action by sending marketing messages at specific intervals or milestones during the transaction process rather than continuously. For example, messages may be sent after a user views a certain number of products or reaches specific stages in the purchasing funnel, providing regular engagement opportunities without overwhelming the user.
Data Source
AI summary
Methods and systems for sending marketing messages to mobile-device users from a mobile-commerce platform are described. In various illustrative embodiments, a marketing message is transmitted to a mobile-device user before, during, or after a transaction between the mobile-device user's mobile device and the mobile-commerce platform. The marketing message can be generated and timed based on rules input to the mobile-commerce platform by a merchant and can be based on historical transaction data associated with the mobile-device user, transaction parameters associated with a current or a most-recently-completed transaction involving the mobile-device user, a transaction type of a current or a most-recently-completed transaction involving the mobile-device user, or a combination thereof, depending on the particular embodiment.