Adaptive Price-Volume Vector Generation for Marketing Campaigns
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Solution Overview
Problem
Current methods for estimating the price-volume relationship in online marketing campaigns are inefficient, as they often require processing and transmitting large amounts of data, wasting computational resources and bandwidth by analyzing all price increments equally, regardless of volume changes, which does not scale well with increasing requests.
Innovation Solution
The adaptive price/volume vector generator selects adjacent prices based on the difference in volume of target events, generating a vector representation that only includes significant price points, reducing unnecessary calculations and data transmission by focusing on areas with substantial volume changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all price increments are analyzed equally to estimate price-volume relationship, then measurement completeness is improved, but computational resource consumption increases and productivity decreases
Solution Approach 1:
The patent segments the price-volume analysis by identifying and focusing on significant price points where volume changes occur, rather than analyzing all price increments uniformly. This segmentation allows the system to divide the continuous price range into discrete meaningful segments, reducing computational load while preserving estimation accuracy.
Solution Approach 2:
The patent extracts and isolates only the significant price points that contribute meaningfully to the price-volume relationship estimation. By taking out and focusing solely on these critical points rather than processing all price data, the system reduces computational resource consumption while maintaining measurement precision.
2Loss of information
If all price data is transmitted to estimate price-volume relationship, then information completeness is improved, but bandwidth usage increases and loss of time occurs
Solution Approach 1:
The patent extracts and transmits only the significant price points and their corresponding volume data, rather than transmitting all price-volume data. This extraction approach maintains the completeness of essential information while dramatically reducing data transmission volume and associated time delays.
Solution Approach 2:
The patent segments the price-volume data transmission by identifying and transmitting only the critical segments (significant price points) that capture the essential relationship dynamics. This segmented transmission approach preserves information completeness while minimizing bandwidth usage and transmission time.
3Measurement precision
If uniform price increment analysis is performed, then measurement consistency is improved, but device complexity increases and ease of operation decreases
Solution Approach 1:
The patent introduces dynamic adaptivity into the price analysis system by automatically identifying significant price points based on volume change thresholds and patterns. This dynamic approach adjusts the analysis focus according to the actual data characteristics, maintaining measurement consistency while reducing the fixed structural complexity of the processing system.
Data Source
AI summary
Embodiments of the present invention provide systems, methods, and computer storage media directed at adaptive representation of a price/volume relationship. In embodiments, a method may include receiving, from a campaign control system, a request for price/volume information. The request may include an identifier of an audience which is targeted by the campaign control system. The method may continue by generating a representation of a price/volume curve based on previously collected price/volume data for the target audience. In some embodiments, adjacent prices included within the representation are determined based on a change in volume between the adjacent prices. The representation can then be output to the campaign control system to enable the campaign control system to determine an initial bid calculated to achieve a desired pacing based on the representation. Other embodiments may be described and/or claimed herein.