Consumer Behavior Analysis for Message Delivery Timing
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Solution Overview
Problem
Existing methods for sending promotional electronic correspondence to consumers lack efficiency, as they do not consider the optimal timing for review based on consumer behavior patterns.
Innovation Solution
A method and apparatus that analyze feedback data indicating when previous electronic correspondence was reviewed or a promotion was purchased, to determine the best transmission time for subsequent correspondence, including selecting the appropriate communication channel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If promotional electronic correspondence is sent at fixed intervals or random times, then the transmission process is simple, but the consumer engagement rate is low
Solution Approach 1:
The system collects feedback data from multiple sources including inbox management system data indicating when consumers review electronic correspondence, purchase history data showing when promotions are redeemed, and engagement metrics. This feedback is continuously analyzed to update transmission time predictions, creating a closed-loop system that adapts to individual consumer behavior patterns
Solution Approach 2:
The system performs preliminary analysis of consumer behavior patterns by examining historical data from previous electronic correspondence transmissions. Transmission times are predicted in advance based on analyzed patterns, allowing the system to schedule future promotions at optimal times before the actual transmission occurs
2Productivity
If multiple communication channels are used to send promotions, then the reach to consumers is improved, but the difficulty of selecting the appropriate channel increases
Solution Approach 1:
The system analyzes feedback data that includes which communication channels consumers respond to most effectively. By examining engagement metrics across email, SMS, push notifications, and other channels, the system identifies preferred channels for each consumer and uses this information to select the most appropriate channel for subsequent transmissions
Solution Approach 2:
The system automatically selects communication channels based on analyzed consumer preferences without requiring manual intervention. The channel selection process is self-directed, using accumulated feedback data to determine the optimal channel for each consumer segment or individual
3Productivity
If promotional correspondence is sent without considering consumer review habits, then the transmission process is efficient, but the likelihood of consumer review is low
Solution Approach 1:
The system performs preliminary analysis of consumer review habits by examining historical data from inbox management systems and previous correspondence interactions. Transmission times are predicted in advance based on these analyzed patterns, allowing the system to schedule promotions at optimal times before actual transmission without requiring real-time analysis delays
Data Source
AI summary
A system and method is provided for determining when an electronic correspondence is reviewed by a consumer, and referencing this information when generating a subsequent electronic correspondence. The information may be used to determine when to send the subsequent electronic correspondence to the consumer. For example, the subsequent correspondence may be sent at the same time of day as when the consumer is determined to have previously reviewed an electronic correspondence. The information may also be used to determine what to include in the subsequent electronic correspondence. For example, time-sensitive promotions that are selected based on the information identifying the previous time at which the consumer reviewed a previous electronic correspondence, may be included in the subsequent electronic correspondence.