Where Does SellerApp Get Its Keyword Research Data?
If you’ve ever wondered why your Amazon listings aren’t ranking or your PPC campaigns aren’t converting, keyword research might be the reason.
In fact, it’s one of the most important aspect of selling on Amazon and 100% the cornerstone of a successful strategy. But that only works if the data you’re using is accurate and trustworthy.
Whether you’re launching a new product, optimizing your listing, or scaling PPC campaigns, understanding how keyword data is sourced is critical.
One question we often get from sellers is:
“Where exactly does SellerApp pull its keyword data from?”
In this article, we’ll walk you through the different sources we use, how that data is processed, and what it means for your Amazon strategy.
Understanding the Importance of Keyword Research Data
Before we dive into the sources, let’s talk about why this data is important.
High-quality keyword data helps you:
- Discover what customers are searching for
- Prioritize high-converting search terms
- Avoid low-performing or irrelevant keywords
- Plan more profitable ad campaigns
- Optimize your listings for visibility
But this is only effective if the data you’re using is reliable. That’s where SellerApp’s keyword engine stands out.
What is SellerApp’s Keyword Data Source?
SellerApp gathers keyword data from multiple high-quality sources, combining them into a powerful, proprietary system to deliver accurate, real-time insights. Here’s a breakdown:
1. Amazon Autocomplete & SERP Monitoring
SellerApp continuously scans Amazon’s search bar suggestions and search engine result pages (SERPs) across multiple product categories. These real-time signals reflect how customers actually search on Amazon.
- Autocomplete suggestions provide highly relevant long-tail keyword variations.
- SERP data helps track top-ranking ASINs for those keywords, revealing competitive trends.
2. Amazon Advertising API (PPC Campaigns)
SellerApp integrates data from Amazon’s Advertising APIs, which give insights into:
- Estimated CPC (Cost-Per-Click)
- Search frequency rank
- Keyword match types
- Historical performance
This data allows you to plan ad strategies based on actual advertiser behavior and auction trends.
3. Amazon Brand Analytics (for Eligible Accounts)
For brand-registered sellers, SellerApp can incorporate metrics from Amazon Brand Analytics (ABA):
- Top 3 clicked ASINs per keyword
- Click-through rates (CTR)
- Conversion share data
While this is available only to brand owners, SellerApp’s platform blends this into the keyword tool for more holistic insight.
4. Proprietary Internal Algorithms
SellerApp’s data science team applies machine learning models to enhance keyword relevance, ranking probability, and competition level. These models are built using:
- Historical marketplace behavior
- Buyer search patterns
- Seasonal variations
- Advertiser bidding trends
This layered intelligence ensures that keyword recommendations are not only high-volume but also strategically actionable.
5. Third-Party Aggregated Data
To strengthen market context, SellerApp supplements its system with aggregated third-party data sources that track global search behavior and keyword trends beyond Amazon.
This allows users to discover keywords with emerging potential and forecast performance across different markets (e.g. US, UK, IN).
How SellerApp Processes the Data
All of the above data sources are processed through SellerApp’s backend using:
- Real-time tracking engines
- Data cleansing and normalization (removing duplicates, outliers, etc.)
- AI-powered keyword scoring based on factors like relevance, volume, competition, and opportunity
The result? A clean, usable keyword list with helpful metrics like:
- Search Volume
- CPC
- Competition Score
- Relevancy Score
- Indexed ASINs
Why This Matters to You
Understanding the source and quality of keyword data means you can trust your decisions. With SellerApp’s keyword research:
- You’re not just guessing in the dark, you’re working with verified search behavior.
- You gain access to both real-time and historical trends.
- You can plan for seasonal demand and category-level competition.
- You save time by focusing only on keywords that matter for organic ranking and ad profitability.
Read To Get Started?
SellerApp’s Keyword Research tool is built on a robust data infrastructure that pulls from Amazon itself, enriches it with machine learning, and delivers insights you can act on.
Separately, good keyword research isn’t about chasing search volume. It’s about finding the right terms, backed by real data, that help your products get seen by the right customers. At SellerApp, we’ve built our keyword engine to deliver exactly that.
If you have questions about how this works for your specific category or account, feel free to reach out to our team.
