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FAQ DeepBI

What is DeepBI's Automatic Bidding Logic?

AI Specialist

AI Specialist

DeepBI

Category: FAQ

DeepBI's automatic bidding logic is powered by its quantitative advertising system's dynamic parameter adjustment mechanism. This mechanism automatically adjusts ad bids and budgets daily, leveraging performance data from the past 7 days, including clicks, conversions, spend, and ACOS. Its purpose is to continuously optimize ad effectiveness, adapt to evolving market conditions, and filter out short-term data fluctuations, ensuring stable and efficient ad management.

DeepBI's Automatic Bidding Logic

DeepBI's automatic bidding logic is a core component of its quantitative advertising system, primarily implemented through its "dynamic parameter adjustment mechanism." This mechanism aims to continuously adjust ad parameters in an automated, intelligent, and data-driven manner to adapt to market changes, optimize ad performance, and ensure the stability and effectiveness of advertising strategies.

Dynamic Parameter Adjustment Mechanism

The dynamic parameter adjustment mechanism is a core feature within DeepBI's quantitative advertising system. It is responsible for continuously optimizing bids and budgets for ad campaigns. Its objective is to identify high-value traffic, maximize advertising return on investment (ROI), and provide users with more stable and sustainable ad optimization services.

Core Operating Principles

DeepBI's dynamic parameter adjustment mechanism operates based on the following principles:

  • Daily Iterative Adjustments: The system iteratively updates bids and budgets for each ad campaign on a daily basis. Adjustments are based on recent performance (primarily the past 7 days), including clicks, conversions, spend, and ACOS. This process gradually converges towards an optimal advertising range, allowing for timely responses to changes in the competitive environment.
  • 7-Day Comprehensive Performance for Noise Filtering: Recognizing that Amazon ads have attribution delays and traffic fluctuations, single-day data can be easily influenced by isolated events. The DeepBI system uses a 7-day comprehensive evaluation to help distinguish between "random fluctuations" and "true trends." This approach makes adjustments more explainable and reviewable, preventing frequent strategy shifts.
  • Alignment with Amazon Platform Update Cycle: Ad campaign performance typically does not fully manifest within a few hours. Daily iterative adjustments align better with Amazon's system update and data accumulation rhythm. This ensures that each adjustment has sufficient time to take effect within real traffic and facilitates the verification of the "adjustment → performance change → re-optimization" feedback loop.

Summary

Through the dynamic parameter adjustment mechanism, DeepBI automates the management of ad bids and budgets. It continuously optimizes based on multi-dimensional data, helping sellers adapt to market changes, improve ad operational efficiency, and enhance return on investment.