About this video
Advanced Keyword Research - Amazon PPC with Helium 10. In this video, you will learn how to use advanced filters in Helium 10's Cerebro that will help you do Amazon PPC keyword research.
In this detailed video, we delve into how to effectively utilize Helium 10’s advanced filters within Cerebro to uncover high-potential, profitable keywords that many competitors might overlook. Learning these techniques will enable you to strategically optimize your PPC campaigns, improve your product listings, and enhance the SEO of your A+ content with precision-targeted keywords.
Key Features You Will Learn:
1. *Navigating Helium 10 Cerebro:* A step-by-step walkthrough of the interface to get you started. 2. *Advanced Filter Techniques:* How to use Cerebro’s sophisticated filtering options to refine your keyword searches for maximum relevance and impact. 3. *Keyword Implementation Strategies:* Practical tips on how to apply your newly discovered keywords effectively in PPC campaigns, product listings, and A+ content alt text. 4. *Competitive Analysis:* Techniques for identifying and capitalizing on profitable keywords that your competitors may have missed.
By the end of this video, you’ll have all the tools and knowledge necessary to conduct advanced keyword research that can significantly increase your visibility and sales on Amazon. Whether you’re looking to boost an existing product or find an edge for a new listing, these insights will help you achieve better results with your Amazon PPC strategy.
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Contents of this video: 00:00 - Intro 00:27 - Find Competitors 01:55 - Search Volume Trend Filter 04:43 - Find Only Competitors' Sponsored Keywords 07:16 - High Relevant Competitors for Product Targeting 08:15 - Find Top Keywords with 1 Click 09:29 - Find Opportunity Keywords with 1 Click 10:12 - Find Keywords you are not currently ranking for
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Transcript
Frequently asked questions
What is the Search Volume Trend filter in Helium 10 Cerebro and why should I use it?
The Search Volume Trend filter shows you keywords that have been growing in search volume over a recent period, expressed as a percentage change. Most sellers apply a minimum search volume filter of 300 or more when doing keyword research, which causes them to miss low-volume keywords that are rapidly gaining traction. Setting a minimum trend percentage, such as 20 percent growth, reveals emerging terms that currently have modest volume but are on an upward trajectory. Monitoring these keywords regularly, ideally weekly or twice a week, allows you to target them before competition intensifies and costs per click rise.
How do I use Cerebro to see only the keywords my competitors are paying to advertise on?
In Cerebro's filter options, use the Match Type filter and select Sponsored only. This removes all organic and Amazon-recommended results and shows you exclusively the keywords that your selected competitors are actively bidding on in their PPC campaigns. This is useful for two reasons: it reveals which terms your competitors consider worth paying for, and it can surface sponsored keywords that have strong commercial intent but that you may not have included in your own campaigns yet. You can combine this filter with search volume sorting and the Competitor Performance Score to prioritize the most relevant and highest-impact terms.
What is the difference between the Top Keywords and Opportunity Keywords one-click filters in Cerebro?
The Top Keywords filter automatically sets filters for high search volume terms that multiple competitors, typically at least six out of your selected ASINs, are ranking for organically. These are the most competitive and most important keywords in your category. The Opportunity Keywords filter takes a different approach: it surfaces terms where only one or two competitors are ranking on page one, which means there is a gap in the market that you could fill with less competition and potentially lower cost per click. Top Keywords are your core targets for ranking campaigns; Opportunity Keywords are your lower-hanging fruit for profitable longtail campaigns.
How do I find keywords that my competitors rank for but my product does not appear for at all?
In a multi-ASIN Cerebro search where your own ASIN is included first, apply the Position Rank filter and set both the minimum and maximum to zero. This returns all keywords where your product has a rank of zero, meaning you are not appearing organically or through paid ads for those terms, while your competitors are. Combine this with a minimum word count of two to filter out overly broad single-word terms, and you will have a targeted list of gaps in your coverage. These keywords are candidates for adding to your manual PPC campaigns and for incorporating into your listing or backend search terms if you are not already indexed for them.
How can the Frequently Bought Together data in Cerebro help with product targeting campaigns?
Within a multi-ASIN search in Cerebro, clicking the three-dot menu next to a specific ASIN gives you access to its Frequently Bought Together products, which are pulled directly from Amazon's own data. These ASINs represent products that real buyers purchase alongside the one you are researching. They are among the highest-quality targets for your Sponsored Products product targeting campaigns because the shopper behavior that generates them proves a strong purchase relationship between the two items. Targeting these ASINs is more strategically precise than using broad category targeting because you are bidding to appear in front of buyers who have already demonstrated a behavioral link to your type of product.
Why should you always include your own ASIN first when doing a multi-ASIN search in Cerebro?
When running a multi-ASIN search in Cerebro, the position rank data displayed in the results refers to the first ASIN in the list. If your own ASIN is placed first, the position rank column shows where your product specifically ranks for each keyword, making it straightforward to identify which keywords your competitors rank for that you do not. If a competitor ASIN is placed first, the position rank column reflects that competitor's rankings instead, and identifying your own gaps requires additional cross-referencing. Placing your ASIN first keeps the comparison directly relevant to your product's keyword coverage.
