Marketing-Mix Response Model for Sales Forecasting
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Solution Overview
Problem
Businesses face complexity and inefficiency in analyzing marketing data to determine optimal marketing strategies due to difficulties in data capture and extraction from various sources, leading to cumbersome manual processes for forecasting sales and revenue outcomes.
Innovation Solution
A system and method for pre-modeling marketing data using marketing-mix variables, generating a sales and/or revenue-based response model to identify contributory variables, and analyzing their individual contributions to sales and revenue, with adjustments made to marketing strategies based on these analyses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual processes are used for forecasting sales and revenue, then flexibility in analysis is maintained, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent replaces manual mechanical analysis processes with an automated computer-based system that uses algorithms and data processing to perform forecasting, eliminating the time-consuming manual work while maintaining analytical capability
Solution Approach 2:
The system enables self-service forecasting by automatically capturing data from multiple sources, processing it through pre-configured models, and generating forecasts without requiring manual intervention for each forecasting cycle
2Quantity of substance
If data is captured from multiple data sources, then data comprehensiveness is improved, but data extraction complexity and processing difficulty increase
Solution Approach 1:
The patent implements a universal data capture system that can handle multiple data sources through a single integrated platform, using standardized interfaces and common processing logic to manage diverse data types without requiring separate extraction processes for each source
Solution Approach 2:
The system introduces intermediary data processing layers including data normalization modules and integration algorithms that mediate between diverse data sources and the analysis engine, simplifying the extraction process by standardizing data formats and structures
3Measurement precision
If elaborate analysis is performed to determine incremental sales gain, then marketing strategy accuracy is improved, but operational complexity and time consumption increase
Solution Approach 1:
The patent segments the complex analysis into distinct modular components including data capture modules, processing modules, and analysis modules, each handling specific aspects of the forecasting process to reduce overall complexity while maintaining precision
Solution Approach 2:
The system uses parameter-based modeling where pre-configured parameters and algorithms automatically adjust analysis depth and complexity based on data characteristics, enabling accurate measurement without requiring elaborate manual analysis for each case
Data Source
AI summary
A method for generating a marketing-mix solution is provided. The method includes pre-modeling marketing data having a plurality of marketing-mix variables. Each of the plurality of marketing-mix variables is associated with marketing strategies for one or more products. The method also includes generating a sales and/or revenue based response model to identify contributory marketing-mix variables that affect the sales and/or revenue of the one or more products and analyzing the response model to determine individual contribution of each of the contributory marketing-mix variables towards the sales an/or revenue of the one or more products.