Multi-Channel Marketing Optimization via Cluster Template Combination

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Solution Overview

Problem

Businesses face challenges in optimizing their digital marketing campaigns due to the vast array of options and strategies available, often relying on personal experience rather than data-driven approaches, which can lead to inefficient budget allocation and suboptimal marketing channel utilization.

Innovation Solution

A system and method for multi-channel digital marketing optimization that classifies businesses into clusters based on marketing objectives and combines data to create target marketing templates, using machine learning to optimize marketing channel utilization and budget allocation across similar businesses.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If businesses rely on personal experience of marketing agencies to manage marketing campaigns, then marketing strategies can be implemented, but budget allocation becomes inefficient and suboptimal

Engineering Contradiction:

Improvemarketing campaign effectivenessVSAvoidbudget allocation efficiency

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The system implements continuous feedback loops by tracking marketing performance data across multiple channels and using this information to dynamically optimize budget allocation. The platform monitors campaign results, channel performance, and conversion metrics, then automatically adjusts spending to maximize ROI based on real-time performance feedback.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system dynamically changes marketing parameters including budget allocation percentages, bid amounts, and channel mix based on performance data. It automatically adjusts these parameters to optimize campaign effectiveness while improving budget efficiency, moving from static agency decisions to dynamic data-driven optimization.

Inventive Principle:

Principle #35Parameter changes

2Ease of operation

If businesses use personal experience rather than data-driven approaches, then marketing decisions can be made quickly, but marketing channel utilization becomes suboptimal

Engineering Contradiction:

Improvedecision-making speedVSAvoidmarketing channel utilization

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The system enables self-service optimization by automatically analyzing performance data and adjusting marketing strategies without requiring deep expert intervention. The platform autonomously processes data, generates insights, and implements optimizations, maintaining quick decision-making while improving channel utilization through systematic data analysis.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces the mechanical reliance on human expert experience with an automated data-driven engine. Instead of depending on agency personnel's personal knowledge, the platform uses algorithms to analyze performance data and determine optimal channel utilization, maintaining speed while improving effectiveness.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If businesses manage multiple digital marketing channels manually, then all channels can be controlled, but optimization becomes inefficient and time-consuming

Engineering Contradiction:

Improvemulti-channel controlVSAvoidoptimization time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system provides universal optimization across multiple marketing channels through a single unified platform. It simultaneously manages and optimizes spending across search, social, display, and other digital channels, eliminating the need for separate manual processes for each channel while maintaining comprehensive control.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system merges multiple channel management functions into a unified optimization engine that processes data from all channels simultaneously. By combining channel-specific data and optimization logic into a single system, it reduces the time required for manual optimization while maintaining versatile control over all marketing channels.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS11210685B2System and method for multi-channel digital marketing optimization

Publication Date: 2021.12.28 INTELLISEA LLC

AI summary

A system for multi-channel digital marketing optimization includes a memory for storing a marketing optimization program code, and a marketing optimization data; and a processor communicatively coupled to the memory. The processor executes the marketing optimization program code to create a cluster template by creating and storing within the marketing optimization data an individual business template for each of a plurality of businesses, classifying the plurality of businesses into a cluster based at least in part on one or more marketing objectives, creating and storing within the marketing optimization data a cluster template based at least in part on a combination of captured and calculated data for the plurality of businesses within the cluster. The processor executes the marketing optimization program code further to repeat the cluster template creation steps for a plurality of clusters; and to mathematically combine the cluster templates to create a plurality of target marketing templates.