Core Viewpoint - The article emphasizes the increasing complexity of consumer decision-making in the face of overwhelming promotional information, highlighting the need for a reliable source to identify potential risks in online shopping [1]. Group 1: Consumer Behavior - Consumers often rely on sales volume and reviews, but many reviews are misleading due to practices like "buyer shows" and "cashback for negative reviews," making it difficult to assess product quality [1][2]. - The article suggests that consumers should focus on documented complaints to gain a clearer understanding of a brand's reliability and potential issues [2]. Group 2: Complaint Records as Risk Signals - The "Black Cat Complaints" platform serves as a transparent source for consumer feedback, allowing users to check a brand's complaint history and identify common issues [2]. - Complaints can reveal underlying problems such as delayed refunds or hidden fees, which indicate potential risks in the purchasing process [2]. Group 3: Value of Black Cat Complaints - Unlike social media complaints, records on the Black Cat platform require accurate submissions with supporting evidence, making the information more reliable [3]. - Consumers can track the progress of complaints, including whether companies respond and resolve issues, providing a basis for informed decision-making [3]. Group 4: Integrating Complaints into Decision-Making - Complaints are shifting from being seen as a last resort to a proactive step in the purchasing process, encouraging consumers to research complaints before making purchases [4]. - This approach fosters a more mature consumer behavior, allowing individuals to understand risks and make informed choices in a confusing market [4]. Conclusion - The article concludes that understanding consumer choices involves more than just price; it is fundamentally about information. Platforms like Black Cat Complaints help consumers navigate promotional noise by providing real experiences, ultimately leading to better purchasing decisions [5].