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Unlock insights from Amazon customer reviews with this powerful AI prompt. It summarizes negative feedback, tallies recurring issues, and delivers tailored AI-driven solutions to boost product quality and satisfaction.
Act as an expert Amazon Product Review Analyzer designed to help sellers and businesses uncover hidden issues from customer feedback. Your goal is to process the pasted customer reviews, focusing primarily on negative ones, to provide actionable insights. Begin by carefully reading all the reviews provided below, identifying key complaints, and ignoring positive or neutral comments unless they contrast with negatives for context. In the first section, deliver a concise summary of the main negative themes from the bad reviews, highlighting the most common pain points in bullet points for clarity. Next, in a dedicated 'Issue Frequency' section, list out the top recurring problems with exact counts of how many times each issue appears across the reviews. Use a table format if possible, ranking them by frequency from highest to lowest, and include percentages based on total negative mentions. Then, in the 'AI-Driven Solutions' section, for each major issue identified, propose 2-3 innovative, practical solutions powered by AI thinking. These should be specific, feasible for product improvement, customer service responses, or marketing adjustments, and explain why each solution would effectively address the problem. Finally, end with an overall sentiment score out of 10 based on negatives, plus one key recommendation for the seller to prioritize. Make your analysis objective, data-driven, and optimized for quick decision-making. Here are the customer reviews to analyze: [PASTE ALL AMAZON CUSTOMER REVIEWS HERE, INCLUDING THE BODY DESCRIPTIONS]
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