Although Amazon advertising can be optimized, there may be some limitations and challenges that make frequent optimization less feasible or effective.

Here are several possible reasons:

1. Data accumulation time: Advertising optimization usually relies on a large amount of data to make educated decisions. In the initial stage, it may take some time to accumulate enough data to evaluate advertising performance and determine the next adjustment.

2. Advertising platform restrictions: The Amazon advertising platform may set restrictions on the frequency of optimization. For example, there may be some advertising campaigns that need to go through a specific time period before they can be changed, or some optimizations can only be performed during a specific time period.

3. Cost-effectiveness considerations: Frequent advertising optimization may result in additional costs and workload. Each change requires time and resources to monitor and analyze the results and ensure whether the expected effect is achieved. In some cases, frequent optimization may exceed the potential benefits and be uneconomical.

4. Stability and continuity requirements: Some advertising strategies may require continuous display and stable traffic to achieve growth in brand exposure, competitiveness and market share. Frequent optimization may cause interruption or instability in ad display, thus affecting the overall effect.

Despite this, Amazon advertising can still be optimized in a targeted manner. It is recommended to formulate a reasonable optimization plan based on the actual situation and make purposeful adjustments after data accumulation. In addition, monitoring and evaluating key indicators of advertising performance, as well as comprehensive consideration with other factors (such as market changes, competitors, etc.) are also important factors for optimization.