Hello! Welcome to the fourth lesson in our module on AI-Powered Product and Niche Discovery.
In our last two lessons, we built a robust framework for finding and validating product opportunities on Amazon using Helium 10 and Jungle Scout. You learned how to assess demand, competition, and profitability in a data-rich environment.
Today, we pivot to one of your primary target platforms: Walmart Marketplace. While the principles of finding a good product remain the same, the data landscape and the tools we use are different. The goal of this lesson is to equip you with a practical, tool-driven workflow to discover high-demand, low-competition products specifically for Walmart.
We will cover:
- How to interpret on-page signals on Walmart to gauge a product's popularity.
- How to use Data Spark, a specialized AI tool for Walmart, to get deep sales and competitor insights.
- How to leverage your existing knowledge of Helium 10 by using its Walmart-specific features to find opportunity gaps.
1. Understanding the Walmart Data Landscape
Before diving into sophisticated tools, it's crucial to know what to look for on Walmart's website itself. Unlike Amazon, which has a longer history of third-party sellers, Walmart's data ecosystem is still maturing. However, it provides clear indicators of a product's performance that we can use for initial validation.
The following video explains the three most important on-page signals you should look for.
The Best Product Research Guide for Selling on Walmart Marketplace
This video from Noah Mincis provides a foundational guide on how to manually assess a product's sales velocity on Walmart. Mastering these visual cues is the first step in any Walmart product research.
Watch the segment from 00:46 to 04:54. Focus on understanding these three key indicators: Walmart Badges: Pay attention to tags like 'Bestseller', 'Popular pick', and especially sales velocity badges like '1000+ bought since yesterday'. These are direct confirmations of high demand from Walmart. Reviews: Learn the critical difference between 'Verified purchase' reviews (real sales) and imported reviews (which don't indicate sales on Walmart). The instructor gives a rule of thumb for estimating sales from verified reviews. Number of Sellers: This tells you if other third-party sellers are successfully selling the product and what your level of competition might be.
2. Deep Dive with a Specialized AI Tool: Data Spark
While manual checks are a good starting point, AI-powered tools are necessary to get precise data on sales estimates, price history, and competition. For Walmart, Data Spark is one of the leading platforms, designed specifically for this marketplace.
The next video is a comprehensive walkthrough of Data Spark's core features. It will show you how to move from analyzing a single product to scanning an entire supplier catalog—a feature that will be highly valuable for your sourcing process.
How to Find Products to Sell on Walmart - Walmart Product Research
This video, also from Noah Mincis, is a practical tutorial on using Data Spark. It covers the exact features you'll need to validate product ideas and even analyze lists from potential suppliers.
Watch the video from 03:49 to 13:31, which covers two key sections: Analyzing a Single Product (03:49 - 08:21): See how to look up a product using its UPC or Walmart ID. Focus on the key data points it provides: 30-day sales estimates, price change history, number of sellers over time, and sales rank history. This is how you confirm if a product has stable demand and pricing. Finding Products in Bulk (09:23 - 13:31): This part is extremely practical. Pay close attention to the 'Best Sellers' feature for browsing top products by category and, most importantly, the 'Product Lists' feature. This allows you to upload a file of UPCs from a supplier and instantly see which of their products are already selling well on Walmart.
3. Leveraging Helium 10 for Walmart Research
You're already familiar with Helium 10's powerful suite for Amazon. The good news is that they've extended some of their core tools to work with Walmart. This allows you to apply a familiar workflow to a new marketplace.
Using Xray for Quick Market Validation
Just as you did on Amazon, you can use the Helium 10 Chrome Extension (Xray) to get a quick overview of the market directly on a Walmart search results page.
How Do I Use the Helium 10 Chrome Extension to Do Research on Walmart?
This guide from the Helium 10 Knowledge Base explains how to use the Xray tool for Walmart. This is your first data-driven checkpoint when exploring a new niche.
Read the section titled 'II. Using Xray (and Supplier Finder) on Walmart'. Focus on understanding the top-level data it provides for a search term: scaled search volume, estimated total revenue, and average price. Note how it also compares prices to Amazon for products with a matching UPC.
Using Cerebro to Find Low-Competition Keywords
This is where we find the "low-competition" opportunity. By using Cerebro for Walmart, you can perform a "reverse product ID" search on a potential competitor. This will reveal all the keywords they are ranking for, allowing you to identify keywords that have good demand but are not yet saturated with competitors.
How Do I Use Cerebro to Research Keywords on Walmart?
This next guide explains how to use Cerebro for Walmart. This is a critical step for finding a strategic angle to enter a market.
This is a detailed guide. Focus your reading on these key parts: Section II ('Researching a Single Product'): Understand how to get a Walmart Product ID and run a basic search to find all associated keywords. Note the 'Walmart Search Volume' metric, which is a scaled indicator of demand. Section III ('Researching Multiple Products'): This is the core of the strategy. Skim this section to understand how you can compare your product idea (the 'Seed' product) against several competitors. Pay special attention to the filters explained in Section III, like 'Competitor Performance Score' and 'Ranking Competitors'. These are designed to help you find keywords where existing competitors are weak, giving you a perfect entry point.
Test your understanding!
You are researching "air purifiers for home" on Walmart.
- You run Helium 10's Xray and see the top products have an average monthly revenue of $50,000, but they all have 1,000+ reviews.
- You find one smaller competitor with only 50 reviews that is still making $8,000/month.
- You put this competitor's Product ID into Helium 10's Cerebro and discover they rank highly for "small air purifier for bedroom" and "quiet air purifier for office," which have "High" Walmart Search Volume. However, for the main keyword "air purifiers for home," they are not on the first page.
- You then look up this competitor's product in Data Spark and confirm it has stable sales of around 150 units per month.
What is your conclusion and what is your strategic plan to enter this market?
Show answer
Conclusion: The general "air purifier" market is extremely competitive and dominated by established players. However, there is a clear, proven demand for more niched-down versions of the product. The smaller competitor has validated a sub-niche.
Strategic Plan:
- Do not compete head-on. Avoid targeting the main keyword "air purifiers for home."
- Focus on the Sub-Niche: Your strategy is to target the long-tail keywords where competition is lower. Source or develop a product that excels in these specific use cases (e.g., an ultra-quiet model for bedrooms or a compact, sleek design for offices).
- Optimize Your Listing: Build your Walmart product listing around the keywords "small air purifier for bedroom" and "quiet air purifier for office." Use them in your title, description, and backend search terms.
- Targeted Ads: When you launch ads on Walmart, you will target these specific long-tail keywords, where your ad spend will be more efficient and your conversion rate will likely be higher.
Conclusion
You now have a multi-tool workflow specifically for uncovering opportunities on Walmart Marketplace. While the data may not be as deep as Amazon's, combining these tools gives you a significant advantage.
Key Takeaways:
- Start with Manual Cues: Always begin by looking for Walmart's own on-page indicators like badges, verified reviews, and seller count to get a quick feel for a product's performance.
- Use Data Spark for Deep Validation: Data Spark is your go-to tool for getting reliable sales estimates, price history, and seller trends on Walmart. Its bulk upload feature is a powerful way to quickly analyze supplier price lists.
- Use Helium 10 to Find the Angle: Leverage Helium 10's Xray for a quick market overview and Cerebro to perform reverse product ID searches. This is how you identify the low-competition keywords that will form the foundation of your launch strategy.
- The Strategy is to Niche Down: For competitive markets, the winning strategy on Walmart is often to identify and dominate a sub-niche discovered through long-tail keyword research.
Next Up:
We've covered the two largest marketplaces in the US. Now, we'll turn our attention to the fastest-growing platform for e-commerce: TikTok. In the next lesson, you will learn how to analyze TikTok's "Top Products" and creative center to identify viral, trending items for your TikTok Shop.