Dynamic Communication Frequency Optimization via Blended Engagement Metrics

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Solution Overview

Problem

Conventional communication systems fail to optimize digital communication frequencies in real-time, leading to wasted bandwidth and ineffective engagement due to outdated data and lack of consideration for specific customer goals and costly metrics.

Innovation Solution

A system that analyzes past communication data to determine optimal transmission frequencies by grouping users based on engagement rates, redistributes messages to maximize interaction, and accounts for the importance of metrics like open rates, click rates, and unsubscribe rates using a blended target rate approach.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional communication systems use fixed transmission frequencies, then system simplicity is maintained, but user engagement effectiveness deteriorates due to outdated data and lack of real-time optimization

Engineering Contradiction:

Improveuser engagement effectivenessVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements dynamic transmission frequency adjustment by continuously analyzing user engagement metrics and automatically modifying communication schedules. The system transitions from static, pre-determined frequencies to adaptive frequencies that respond to real-time user behavior patterns, thereby improving engagement effectiveness without requiring complex manual intervention

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback loops where user engagement data (opens, clicks, conversions) is continuously collected, analyzed, and used to adjust future transmission frequencies. This closed-loop control mechanism enables the system to learn from past performance and optimize communication timing dynamically, resolving the contradiction between simplicity and effectiveness

Inventive Principle:

Principle #23Feedback

2Quantity of substance

If communication messages are sent to all subscribers, then maximum reach is achieved, but bandwidth waste increases due to irrelevant communications to unengaged users

Engineering Contradiction:

Improvecommunication reachVSAvoidbandwidth waste

Core Design Contradiction:

Quantity of substanceVSLoss of energy

Solution Approach 1:

The patent applies local quality by segmenting the subscriber base into distinct groups based on engagement characteristics and sending tailored communication frequencies to each segment. Instead of uniform treatment, the system adapts message distribution to local user properties, ensuring relevant users receive communications while minimizing waste on unengaged segments

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system segments subscribers based on engagement metrics such as open rates, click-through rates, and conversion history. This segmentation enables differential communication strategies where high-value users receive more frequent targeted messages while low-engagement users receive fewer or no communications, thereby maintaining reach to valuable segments while reducing overall bandwidth waste

Inventive Principle:

Principle #1Segmentation

3Productivity

If transmission frequency is increased to maximize engagement, then user interaction increases, but unsubscribe rates increase due to excessive communications

Engineering Contradiction:

Improveuser interaction rateVSAvoidunsubscribe rate

Core Design Contradiction:

ProductivityVSObject-generated harmful factors

Solution Approach 1:

The patent dynamically changes transmission frequency parameters based on real-time analysis of engagement metrics and unsubscribe risk indicators. The system adjusts the timing, frequency, and volume of communications as control parameters, optimizing the balance between maintaining user interaction and preventing excessive unsubscribe rates through continuous parameter adaptation

Inventive Principle:

Principle #35Parameter changes

4Productivity

If real-time data analysis is implemented for optimization, then communication effectiveness improves, but computational resources and processing time increase

Engineering Contradiction:

Improvecommunication optimization effectivenessVSAvoidcomputational resource consumption

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent implements partial analysis by focusing computational resources on the most influential engagement metrics and key user segments rather than analyzing all data points equally. The system identifies and prioritizes critical data elements that have the greatest impact on communication effectiveness, performing detailed analysis only where needed while using simplified models for less critical decisions, thereby reducing overall computational burden

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS11425084B2Data processing for multi-objective communication engagement

Publication Date: 2022.08.23 SALESFORCE INC

AI summary

A cloud platform supports a digital communication system that identifies recommended communication frequencies based on past communication data. The cloud platform may support blending of weights applied to different engagement rates. Based on the weights, the system identifies recommended frequency ranges to maximize engagement rates, including the blended engagement rate using a redistribution simulation process.