5 Best Walmart Review Analysis Tools for CPG Brands

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Walmart Review Analysis Tools for CPG Brands

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Walmart serves over 37 million customers every day, making it one of the most influential retail ecosystems in the world. Each product review left on its marketplace is a window into real shopper experiences. From packaging issues and pricing perception to product satisfaction and repeat intent, Walmart’s review ecosystem provides an unfiltered view of what consumers truly think about your products.

But the challenge isn’t collecting feedback or reviews, it’s interpreting them at scale. Manually sifting through thousands of customer comments to spot patterns, sentiment shifts, and recurring complaints is nearly impossible. That’s why CPG brands now rely on specialized review tracking and analysis tools to make sense of this data.

In this article, we’ll explore the five best Walmart review analysis tools for CPG brands, plus some effective practices you can follow while tracking reviews on Walmart.

READ MORE | Benefits of Customer Feedback Tracking: Everything You Need to Know

5 Best Walmart Review Analysis Tools for CPG Brands

Understanding customer feedback is one thing, but turning it into actionable insights requires the right tools. The following are the top 5 review tracking tools for Walmart sellers to monitor, analyze, and act on Walmart reviews at scale.

MetricsCart

MetricsCart is one of the best Walmart review analysis tools for CPG brands

MetricsCart is one of the best Walmart review analysis tools for CPG brands. It transforms raw customer reviews into actionable insights, helping brands identify product strengths and weaknesses, respond to customer concerns quickly, and make data-driven decisions that improve both product performance and shopper satisfaction. 

With its advanced analytics, MetricsCart enables teams to track trends over time, benchmark against competitors, and uncover market gaps that can be leveraged for strategic advantage.

Key features

  • Theme and Sub-Theme Analysis: Categorizes reviews into primary themes and sub-themes to pinpoint specific product strengths and weaknesses.
  • Brand Comparison: Benchmarks your products against competitors to reveal opportunities and areas for improvement.
  • Trend Analysis: Tracks changes in reviews and ratings over time to identify emerging consumer preferences.
  • Granular SKU Insights: Highlights feedback at the individual SKU level for precise product-level understanding.
  • Competitive Benchmarking: Provides a detailed comparison of ratings and reviews against top competitors.
  • Customizable Dashboards and Reports: Allows teams to visualize data clearly and make quick, informed decisions.
Drive the Growth of Your CPG Brand using User-Generated Content. Turn Walmart Reviews into Actionable Insights Using MetricsCart.
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ReviewTackers

ReviewTrackers is another tool that helps with Walmart product review analytics for CPG brands. It aggregates customer reviews from Walmart and other marketplace reviews into one centralized dashboard. It helps CPG brands understand shopper sentiment, detect patterns in feedback, and respond quickly to emerging issues, boosting customer satisfaction and protecting brand reputation.

Key Features:

  • Aggregates reviews from 100+ sources (Google, Facebook, Yelp, etc.).
  • Real-time alerts and email notifications for new reviews.
  • Smart / AI-generated response templates to reply from within the tool.
  • Sentiment analysis, keyword trends, and review categorization.

READ MORE | Turning Customer Voice into Content: How to Use Reviews for Social Media Marketing

Akeneo

Akeneo is a product information management (PIM) tool with robust review integration capabilities. By connecting Walmart reviews with product data, it allows CPG brands to align feedback insights with inventory, descriptions, and performance metrics. 

Key Features:

  • Integrates product information with Walmart review data for comprehensive analysis.
  • Tracks sentiment trends across product listings to identify improvement areas.
  • Highlights SKU-level feedback for precise product insights.
  • Supports competitor comparison to spot market opportunities.

Datos

Datos is an AI-driven review analytics platform that converts unstructured Walmart feedback into actionable insights. It allows CPG brands to detect patterns, identify top-rated features, and spot recurring issues without spending hours on manual analysis. 

Key Features:

  • Tracks review and rating trends over time to detect consumer behavior shifts.
  • Provides SKU-level insights for targeted product improvements.
  • Enables competitor benchmarking to understand market positioning.
  • Offers customizable dashboards and reports for easy data interpretation.

READ MORE | Get More Reviews on Walmart: A Step-by-Step Guide

ReviewMonitroing

ReviewMonitoring is one of the best Walmart feedback monitoring software that helps CPG brands track Walmart reviews at scale and across multiple SKUs. It combines sentiment scoring, trend analysis, and competitor benchmarking to give brands a comprehensive view of customer feedback. 

This allows teams to respond proactively, optimize products, and tailor marketing strategies based on actual shopper opinions.

Key Features:

  • Tracks Walmart reviews across multiple SKUs for holistic feedback analysis.
  • Provides competitor benchmarking to compare product performance.
  • Customizable reporting makes insights actionable and easy to interpret.
  • Real-time alerts help brands respond quickly to negative feedback.

Best Practices for Review Tracking on Walmart

Tracking customer feedback consistently gives you real insights into how shoppers see your products, what they love, and where you’re falling short. Do it right, and reviews can actually guide your product decisions, marketing, and even your next big launch.

Here are 3 best practices you can use for effective review tracking on Walmart.

Track Review Volume and Rating Distribution Regularly

Review tracking should be a routine process, not an occasional check. And while doing it, make sure you observe both the number of reviews and their ratings. Because a sudden rise in low-star reviews can indicate product or delivery issues, while declining review volume may point to reduced visibility or shopper engagement.

For example, a product with an average rating of 4.5 stars across 500 reviews is performing well, but a sudden drop to 4.2 stars over 50 new reviews signals potential quality or service issues. 

Regular tracking helps you identify such patterns early.

READ MORE | Acing the Brand Visibility Game: Amazon Review Analysis for Improving Product Listings

Segment Reviews by Product Variants or SKUs

Treat each product variant as its own entity. A flavored snack, for instance, might show 4.8 stars with 200 reviews for the original flavor but only 3.9 stars with 150 reviews for a new variant. This indicates a variant-specific problem that may relate to taste, packaging, or labeling. 

By segmenting reviews at the SKU level, you get precise insights into where improvements are needed and avoid wasting resources on products that are already performing well. This approach also helps in A/B testing product updates, measuring impact, and refining future launches.

Analyze Competitor Reviews for Benchmarking

Your competitors’ reviews are a roadmap to market expectations. Suppose a top competitor has 4.7 stars across 1,200 reviews, but many comments note packaging issues. 

This presents an opportunity to outperform them by offering superior packaging or messaging that addresses that pain point. Benchmarking your products against competitors’ reviews not only helps you identify gaps but also highlights areas to differentiate your brand.

READ MORE | How to Conduct Product Trend Analysis?

The Bottom Line

Customer reviews, like common belief, are not just post-purchase chatter; they are a data goldmine. For CPG brands selling on Walmart, every comment holds clues about consumer expectations, packaging issues, pricing perception, and product appeal. But those clues only matter when they are collected, analyzed, and acted on consistently.

The tools covered, MetricsCart, ReviewTrackers, Akeneo, Datos, and ReviewMonitoring, help brands move beyond basic star ratings. They reveal patterns in sentiment, spot competitor gaps, and surface product-level insights that can directly influence R&D, marketing, and pricing strategies.

In a marketplace where 95% of shoppers read online reviews before buying, understanding what customers say and why can determine whether your next product scales or stalls. Investing in the right review analysis solution is no longer optional; it is how CPG brands stay relevant, competitive, and consumer-first on Walmart’s digital shelf.

Turn Walmart Reviews into Growth Opportunities with MetricsCart.

FAQs

Why is review tracking important for CPG brands on Walmart?

Review tracking provides insights into customer satisfaction, product performance, and emerging trends. With 95% of shoppers reading reviews before making a purchase, tracking reviews helps brands make data-driven product improvements, optimize marketing messages, and stay competitive.

How does MetricsCart help with Walmart review analysis?

MetricsCart consolidates reviews, analyzes sentiment, identifies themes and sub-themes, tracks trends over time, benchmarks against competitors, and provides SKU-level insights. It turns raw feedback into actionable insights, allowing brands to respond quickly and make informed decisions.

Can I track competitor reviews using these tools?

Yes. Most tools like MetricsCart, ReviewTrackers, and Datos offer competitor benchmarking. By analyzing competitor reviews, brands can identify market gaps, spot opportunities, and adjust product and marketing strategies to outperform rivals.

How often should I monitor Walmart reviews?

Review tracking should be a regular process, ideally weekly or monthly, depending on sales volume. High-volume products may require daily monitoring to catch spikes in negative reviews or sudden changes in sentiment.

Should I track reviews by product SKUs or just at the product level?

Segmenting by SKU is critical. Variants like different flavors, sizes, or packaging may perform differently. SKU-level tracking helps pinpoint exact issues and ensures targeted improvements rather than broad, inefficient changes.

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