Helium 10 Black Box Product Targeting Tutorial & Review
In this guide
The quick answer
What is the Helium 10 Black Box Product Targeting tab?
The Helium 10 Black Box Product Targeting tab finds products connected to an Amazon ASIN through Frequently Bought Together, Customers Also Bought, and Amazon Suggested data. Sellers can use those connections to research complementary products, investigate new additions to their catalog, and build a shortlist of ASINs to consider for Sponsored Products advertising. The results are research leads, not guaranteed sales opportunities.
Finding a new Amazon product does not always mean starting with a completely new niche. Sometimes the most useful ideas are sitting next to something you already sell. If customers buy one product, what else might help them solve the same problem?
That is the question behind my Black Box Product Targeting walkthrough with Carrie Miller from Helium 10. We start with a knee brace for dogs, enter its Amazon ASIN, and look at the related products that appear. The exercise is about discovering connections you might miss during a normal keyword search.
This guide follows that example and adds a practical way to assess the results. I will also explain how the same research can help you identify possible product-page advertising targets without confusing research data with an active ad campaign.
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The three sources behind Product Targeting results
Product Targeting begins with one product rather than a broad keyword. Helium 10 then looks for associations from three Amazon shopping and recommendation sources. Understanding the difference helps you decide which results deserve attention.
| Source | What it tells you | Useful research question |
|---|---|---|
| Frequently Bought Together | Products associated with the original item in the same purchase. | Could this complement my current offer? |
| Customers Also Bought | Other products purchased by shoppers associated with the original item, not necessarily together. | What other needs might this audience have? |
| Amazon Suggested | Products Amazon recommends as possible product-targeting connections. | Which product pages should I investigate for advertising? |
Helium 10 explains these sources in its official Product Targeting guide. The source labels tell you why an item appeared, not whether customers will purchase it from you.
A product can also qualify under more than one source. In Helium 10's walkthrough, source indicators such as F and C identify Frequently Bought Together and Customers Also Bought relationships. Treat that overlap as a reason to investigate, not a ranking or conversion guarantee.
How to use the Black Box Product Targeting tab: step by step
You can repeat the method from the video using a product you already sell, or a close competitor if you are still evaluating a niche. The essential input is an Amazon ASIN, the identifier attached to a particular listing.
- Choose a seed product. Pick a relevant listing with a clear customer purpose. Avoid an unrelated bestseller just because its sales estimate looks impressive.
- Copy its ASIN. Open the Amazon product page and locate the ASIN in the product details or product URL. Check that it belongs to the exact product or variation you want to examine.
- Open Black Box. Sign in to Helium 10, go to the product and keyword research tools, and select Black Box. Then choose the Product Targeting tab, not the default Products tab.
- Enter the ASIN and run the search. Use the input field in Product Targeting. Confirm the appropriate Amazon marketplace when that option is shown.
- Explore the relationship sources. Review Frequently Bought Together, Customers Also Bought, and Amazon Suggested results. Narrow the view using the available source and advanced filters.
- Investigate individual listings. Open promising ASINs on Amazon, compare prices, product specifications, reviews, and relevance, then record what deserves further research.
The interface has evolved since older Black Box videos. Helium 10's 2026 dashboard guide still lists Product Targeting as a dedicated tab. It also lists newer research sections, so your screen may contain more options than the recording shows.
The video example: researching products around a dog knee brace
In my walkthrough with Carrie, the starting product is a knee brace for dogs. Instead of immediately searching for another unrelated item to sell, we use the brace's ASIN to see what appears around it.
The results suggest other types of braces, support slings, and accessories connected to dogs that need mobility assistance. Some broader related products, including supplements, may also surface. The interesting part is not that every suggestion is suitable. It is that one familiar product reveals several possible directions for research.
Similar products
Compare other braces, sizes, materials, and support designs. These may compete directly with your current product.
Complementary products
Investigate slings and other accessories that might address a different part of the same customer's problem.
I would shortlist the options that fit the brand and reject the rest. Pet supplements, for example, bring different sourcing, safety, and compliance considerations from a fabric support accessory. A connection in Black Box does not remove those responsibilities.
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How to evaluate the results without chasing every suggestion
A long list of connected products is useful only if you know how to narrow it. Start with relevance: would someone interested in the original item reasonably consider the suggested product? Then look at whether the price, materials, size, and intended customer fit your own business.
Next, inspect the actual Amazon listings. Review product specifications, customer feedback, competing brands, packaging requirements, and the likely cost of supplying a credible alternative. If you use estimated sales or revenue from related tools, remember that those figures are not verified competitor accounts.
The Advanced Filters area can help refine a shortlist when relevant fields are available. However, filtering does not replace opening the product pages. A low review count, for example, does not prove that customers want another version of an item.
Try a simple research note: Seed ASIN, source relationship, suggested ASIN, customer need, price range, potential obstacle, and next action. After reviewing ten results, you should have a short, explainable list rather than a collection of screenshots.
Using Product Targeting results for Amazon Sponsored Products
Black Box helps with the research; Amazon Ads is where you create and manage a campaign. You can use promising ASINs as candidates for manual product targeting in Sponsored Products, subject to advertising eligibility and the options available in your marketplace.
For the knee-brace example, you might investigate whether an accessory product page attracts shoppers who could genuinely benefit from your brace. If the connection makes sense, add that ASIN to a small test rather than assuming every Frequently Bought Together result deserves advertising spend.
Amazon's Sponsored Products targeting guide explains how to choose manual product targeting and select individual ASINs or categories. Once the campaign runs, monitor impressions, clicks, attributed orders, advertising cost, and profitability. A selected target makes your ad eligible for certain placements; it does not guarantee that your ad will appear on that exact page.
Keep unrelated targets out of the test. If an ASIN receives clicks but fails to attract suitable customers, review whether it should remain in the campaign. This is how product research becomes a measurable advertising hypothesis rather than a collection of guesses.
Use complementary products to explore brand expansion
The other reason I like this tab is that it encourages you to think beyond a single listing. If you already understand the customer for one product, a related accessory may be easier to evaluate than an entirely unfamiliar category. You can carry forward what you know about customer questions, packaging, and the problems the original item addresses.
That does not mean every related item should become a new SKU. Before considering a dog support sling, for example, examine sizing, durability, expected returns, supplier documentation, and whether your audience actually wants that item. Look at the practical economics, not only the connection shown by Amazon.
Some sellers may also investigate complementary bundles. Treat that as a separate product and compliance exercise: check Amazon's current bundle and listing policies, product eligibility, fulfillment costs, and how clearly you can explain what is included. A shopping association by itself is not permission to combine two products into one listing.
For more general research methods, read my introduction to Helium 10 Black Box or my Black Box keyword research tutorial. These use different starting points from the Product Targeting tab covered here.
Product Targeting vs. the other Black Box tabs
The tab you open should match the question you are asking. Product Targeting is particularly useful once you have a seed product and want to investigate relationships around it.
| Tab | Best starting question |
|---|---|
| Products | Which products match my category, price, and sales filters? |
| Keywords | Which searches could reveal an interesting product niche? |
| Competitors | Which products compete around similar keyword rankings? |
| Product Targeting | Which products are associated with this ASIN through shopping behavior or suggestions? |
Common mistakes when interpreting Product Targeting
The biggest mistake is treating related products as automatically profitable products. Connections reveal possible customer interests, but demand, competition, manufacturing, compliance, and margins still need independent research.
- Using an irrelevant seed ASIN: A broad or unrelated product produces connections that may not serve your target customer.
- Confusing the data sources: Customers Also Bought does not necessarily mean the items were purchased together.
- Assuming an ad placement is guaranteed: Amazon determines eligibility and delivery; your campaign performance must be measured.
- Skipping the business checks: Research every shortlisted product's costs, customer expectations, and selling restrictions before investing.
If you avoid these errors, the tab becomes a useful discovery tool without turning every interesting result into an expensive project.
Frequently asked questions
Do I need my own Amazon product to use Product Targeting?
No. You can begin with a relevant competitor ASIN if you are researching a niche. Choose a product close to the type you hope to sell so its associated products have useful context.
Is Product Targeting the same as Amazon keyword targeting?
No. Black Box Product Targeting investigates products associated with a seed ASIN. Keyword research begins with search terms. In Sponsored Products advertising, ASIN or category targeting is also different from keyword targeting.
Can I try Black Box for free?
Helium 10 offers limited Black Box use through a free account. Its published plan guide lists five lifetime Black Box uses for Free accounts, but always check the allowance displayed in your account and whether the Product Targeting feature is available.
Will these results tell me which product will sell best?
No. They reveal product associations and possible targeting ideas. You still need demand research, supplier quotes, marketplace checks, and realistic margin calculations before deciding what to launch.
Try the Product Targeting workflow
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The value of Black Box Product Targeting is the new perspective it gives you on an existing product. The dog knee-brace example starts with one ASIN and opens up questions about related accessories, customer needs, and advertising audiences. Use those leads carefully, validate the numbers, and choose the next product or campaign only when the evidence supports it.