DSP Offer Rate Allocation Using Utilization Time Windows
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Solution Overview
Problem
Existing advertisement request allocation systems lack an efficient method to determine the optimal offer rate for sending advertisement requests to demand-side platforms (DSPs), leading to inefficiencies in programmatic advertising.
Innovation Solution
An advertisement request allocation platform with a monitoring module that determines utilization and variability rates across candidate time windows, identifying optimal time windows and adjusting offer rates based on these metrics to ensure efficient advertisement delivery to DSPs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisement requests are sent continuously to DSPs without optimization, then the system maintains simple operation, but the productivity and efficiency of programmatic advertising deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-calculating utilization rates and variability metrics for multiple candidate time windows before making offer rate decisions. The offer rate builder proactively determines optimal offer rates based on historical performance data, so when advertisement requests need to be sent, the system already has pre-computed optimization parameters ready, eliminating the need for complex real-time calculations.
Solution Approach 2:
The system segments the advertisement delivery process by dividing time into multiple candidate time windows and calculating separate utilization rates for each segment. This allows the system to identify the optimal time window for sending offers without needing to analyze the entire time period at once, reducing computational complexity while improving productivity.
2Adaptability or versatility
If the system uses a fixed offer rate for all advertisement requests, then the ease of operation is maintained, but the adaptability to varying DSP utilization patterns deteriorates
Solution Approach 1:
The system implements dynamic offer rates that automatically adjust based on measured DSP utilization patterns. The offer rate builder continuously monitors utilization rates across different time windows and dynamically determines optimal offer rates. This dynamic adaptation improves versatility while maintaining operational simplicity through automated decision-making algorithms.
Solution Approach 2:
The system employs feedback mechanisms by measuring actual DSP utilization rates and using this information to adjust future offer rates. The offer rate builder uses historical utilization data as feedback to continuously optimize offer rate decisions, enabling the system to adapt to changing DSP behavior patterns without manual intervention.
3Measurement precision
If the system analyzes multiple candidate time windows with variability metrics, then the measurement precision of utilization rates improves, but the difficulty of detecting and measuring deteriorates
Solution Approach 1:
The system divides the measurement process into discrete candidate time windows, calculating utilization rates and variability metrics for each segment independently. This segmentation allows for precise measurement of DSP utilization patterns at different time scales without overwhelming computational complexity, as each time window can be analyzed separately using standardized formulas.
Solution Approach 2:
The system changes measurement parameters by calculating both utilization rates and variability metrics for multiple candidate time windows with different durations. By varying the time window parameters and comparing results, the system identifies the optimal window that provides the most precise measurement of DSP utilization patterns, balancing measurement accuracy with computational feasibility.
Data Source
AI summary
An advertisement request allocation platform includes: a monitoring module comprising an offer rate builder, the offer rate builder configured to periodically determine a utilization rate using a plurality of candidate time windows, wherein the utilization rate for a combination of a group of advertisement requests and a demand-side platform (DSP) comprises a rate at which the DSP utilizes the group, the offer rate builder further configured to periodically determine for the combination a measure of variability of the utilization rate; and an offer module operably connected to the DSP; and an offer module configured to offer an advertisement request to the DSP, wherein the offer module is further configured to adapt a rate at which advertisement request is offered to the DSP based on the utilization rate for the DSP.