How does Helium 10 Get Its Sales Data

Helium 10 is a powerful software that helps Amazon sellers maximize their profits. It provides data-driven insights into product performance, customer trends, and competitor activity, allowing sellers to make informed decisions about their business. The key to its success is its ability to collect and analyze sales data from Amazon. But how does Helium 10 get its sales data?

Sales Data Collection

Helium 10 gets its sales data from a variety of sources, including:

Amazon’s API

The Amazon API provides Helium 10 with access to a range of data, including product listings, reviews, and sales metrics.

Helium 10’s own proprietary algorithms

Helium 10’s algorithms then analyze this data to provide sellers with valuable insights into their product’s performance and potential, using their own analysis techniques to identify trends, patterns, and opportunities in the Amazon marketplace. For example, its Black Box tool uses machine learning algorithms to analyze millions of data points and provide sellers with product ideas that are likely to be profitable. Similarly, its Cerebro tool helps sellers research and analyze competitor data to inform their marketing and sales strategies.

Natural Language Processing (NLP)

The platform also uses Natural Language Processing (NLP) to analyze customer reviews. This helps sellers better understand their customers, allowing them to provide better service and improve customer satisfaction.

Keepa API

The Keepa.com API is one of the resources most of the Amazon Seller tools use. This way, they can cross their data with Keepa’s data, including:

• 3 billion tracked products
• Live pricing
• Live availability
• Price history data
• Sales Rank
• Offers count
• Rating and Review count history
• Extensive Buy Box information
• Category details
• Best sellers lists containing up to 500k ASINs.
• Third party sellers metrics
• And more

Data Visualization

The final step in the data analysis process is data visualization. Helium 10 uses charts, graphs, and other visual representations of the data to make it easier to interpret. This makes it easier for sellers to understand the data and make strategic decisions.