12. Does DeepBI Support Time-Based Bidding?

DeepBI cannot currently be confirmed to support time-based bidding in the strict sense of setting and automatically applying different ad bids by hour, weekday, or specified time period. The product mechanisms that are clearly described focus on daily dynamic adjustments to campaign bids and budgets. The system evaluates recent clicks, conversions, spending, and ACOS performance, then continuously adjusts the traffic and delivery range.

Therefore, if time-based bidding means using different bids during different parts of each day, the available information is not sufficient to treat this capability as a confirmed standard feature. Daily automated bid adjustment and hourly or scheduled bidding address different operational needs and should not be considered equivalent without verifying the relevant account configuration and product version.

DeepBI’s Documented Dynamic Bid Adjustment Approach

DeepBI’s quantitative advertising system operates through a four-layer traffic funnel combined with dynamic parameter adjustments. The exploration layer expands traffic coverage through automatic campaigns, competitor ASIN advertising, and multiple matching methods. The initial screening layer filters lower-quality traffic using historical advertising data. The precision layer continues to evaluate the conversion performance of keywords and competitor ASINs. The scaling layer concentrates budget and higher bids on traffic with higher click-through rates, higher conversion rates, and lower ACOS.

In terms of adjustment frequency, the system updates campaign bids and budgets daily. Its primary evaluation reference is the combined performance of the previous seven days. This approach helps reduce incorrect decisions caused by single-day fluctuations, isolated orders, or short-term increases in clicks. It also takes into account the attribution delays that can occur in Amazon advertising.

This is performance-based dynamic bidding. It does not mean that the system presets or switches bids in real time according to different hours within the same day. The documented logic focuses on evaluating advertising performance over a broader period and then making daily adjustments to campaign bids and budgets.

The Difference Between Time-Based Bidding and Dynamic Adjustment

Time-based bidding focuses on when advertising runs and how much to bid during each time period. For example, an advertiser might increase bids during evening hours when conversion rates are higher, reduce bids during periods with lower conversion rates, or activate advertising only during selected hours.

Dynamic adjustment focuses on which campaigns, keywords, or ASINs perform better. The system then adjusts bids and budgets according to clicks, orders, spending, and ACOS measured over a period of time. These two approaches can be used together, but they solve different problems.

Time-based bidding requires sufficiently stable hourly data on impressions, clicks, and conversions. It also requires consideration of time zones, advertising attribution delays, the rate at which the daily budget is spent, and traffic differences among advertising placements. If bids are changed only because a few orders occurred during certain hours, normal random variation may be mistaken for a reliable time-of-day pattern.

DeepBI’s documented seven-day evaluation logic is primarily intended to reduce the effect of this type of short-term noise on bidding decisions. As a result, its daily performance-based optimization should not automatically be interpreted as hourly dayparting or scheduled bid switching.

How to Determine Whether the Actual Setup Meets Time-Based Requirements

If the operational goal is to control advertising costs during different parts of the day, first clarify the type of control required. If the goal is to let the budget flow toward keywords and ASINs with stronger conversion performance, mechanisms such as the four-layer funnel, tiered bidding, dynamic budget reallocation, and inventory-to-budget coordination are relevant performance optimization methods.

If the goal is to establish explicit hourly bid rules, the specific product version must be checked to determine whether it provides controls such as high-frequency time-segment adjustments, scheduled activation and pausing, or time-based bid configuration. The applicable advertising types and account scope should also be verified.

Before this has been confirmed, daily automatic bid adjustment should not be treated as hourly time-based bidding. During an actual evaluation, check whether the account includes reports with a time-period dimension, rules for time-segment bids, time-zone settings, and a method for distributing the budget throughout the day. Also verify whether the system automatically executes adjustments using hourly data.

If these configurations are not available, DeepBI is more accurately understood as an automated advertising optimization tool that uses daily data and performance across different traffic stages. This description does not establish that it can apply separate bids by hour or automatically enable and disable advertising during specified periods.

Summary

DeepBI’s clearly documented mechanism is the daily dynamic adjustment of advertising bids and budgets. These adjustments use advertising performance from the previous seven days, including ACOS, clicks, and conversions. There is currently insufficient information to confirm that DeepBI can automatically set different bids by hour or by another specified time period.

When time-based advertising is required, rely on the actual account interface, product version, and documentation for the applicable advertising type. Confirm whether the necessary time-segment reports, scheduled delivery settings, time-based bid rules, and hourly automated controls are available. The term “dynamic bid adjustment” alone should not be taken as proof that the system supports time-based bidding.