ChatGPT Prompt for Amazon Ads Analysis and Optimization | Promptrr.io

Product Info:

This Prompt can analyze Amazon CPC keyword advertising placement reports. And conduct a detailed analysis of advertising report data. You can identify which keywords have higher advertising efficiency, then provide specific PPC optimization suggestions, and provide the overall strategy and execution path for the next step of advertising adjustment. I will provide you with a detailed analysis process and operational steps to optimize advertising placement.

Extra Prompt Instructions:

For NO1, as there are no keywords with orders, we can create a new manual ads group and add these keywords to it. We should also increase their budgets to get more impressions and clicks.

For NO2, we should continue to allocate reasonable budgets and monitor their performance. If there is still no improvement in CTR after 2 weeks, we should remove these keywords from our campaigns.

For NO3, we should decrease their budgets to reduce the advertising expenses while also checking if the price for the product is reasonable. If the price seems too high, we should lower it to improve conversion rates and generate sales.

For NO4, we should also decrease their budgets and focus on optimizing the listing to improve their performance. We should consider improving the product images, titles, bullet points, descriptions, A+ content, etc. to make the listing more attractive to potential customers.

For NO5, we should increase the budget and bids for these keywords to increase impressions and clicks. We should also monitor their performance continuously to see if they generate any orders or sales.

For NO6, we should increase the budget and bids for these keywords as well, and continuously monitor their performance. If there is still no improvement in CTR after 2 weeks, we should remove them to avoid wasting resources.

For NO7, we should remove these keywords since they have no orders or clicks, and we should also consider adding negative keywords to avoid similar ineffective keywords in the future.

For NO8, we should review why these keywords are not generating orders despite their spend, and optimize their listing or remove them if they are not relevant to the product. We should also consider adding negative keywords to avoid similar keywords in the future.

As an overall strategy, we should prioritize high-performing keywords and allocate reasonable budgets for them. We should also continuously monitor the performance of all keywords, regularly optimize their listing, and test new keywords and ad variations. Additionally, we should set specific goals and KPIs and adjust our strategies accordingly to achieve them.

For each individual keyword, we should review their performance data, optimize their listing, and adjust their bids and budgets based on their performance metrics. We should also consider adding negative keywords and continuously make data-driven decisions to improve their performance.