Extract hidden insights by analyzing Walmart customer reviews to decode shifting buyer behavior, surface product-level issues, and optimize retail performance at scale.
Walmart’s massive online marketplace generates a high volume of customer reviews across categories, regions, and SKUs. But without structure, these reviews remain untapped.
Clootrack’s integration with Walmart Webscraper API transforms raw review text into structured intelligence, detecting product-specific friction, sentiment shifts, and unmet customer needs at scale.
Uncover why customers love, return, or regret purchases, no manual tagging needed.
Prioritize based on the intensity of complaints or urgency signals.
Identify whether an issue is brand-specific or ecosystem-wide.
Detect anger, delight, confusion, even when not explicitly stated.
Slice insights by product features, variant, or fulfillment method.
Remove review spam or irrelevant praise and blame to focus on truth signals.
Track where the first signs of product deterioration appear, flagged by urgency and impact.
Flag high-friction sellers via auto-detected review themes without manual configuration or tagging.
Layer insights from Walmart with other D2C reviews, social comments, or survey data for a 360° view of customer buying behavior.
Understand where perception of quality, pricing, or reliability is misaligned with customer expectations.