Helium 10 vs Jungle Scout: AI Keyword Research with InfraNodus (the 2024 way) [Video]

In this video, I will demonstrate how you can use https://infranodus.com to conduct keyword research using both Helium 10 and Jungle Scout tools for Amazon market analysis.

Helium 10 and Jungle Scout let you extract related keyword data and product details as a CSV file, which can then be visualized using InfraNodus to extract recurrent demand patterns and identify the main topics in Amazon’s demand for a product category.

Based on this information, you can identify the gaps in the market: what are the types of products that could be combined to better cater to your customers’ demands. You can also understand what people search for but don’t yet find helping you discover potentially attractive niches.

Try this approach with your own products and data at
https://infranodus.com/use-case/marketing-research

Timecodes:
0:00 Enhance your Helium 10 and Jungle Scout insights with AI and knowledge graphs
2:00 Using Helium 10 to generate keyword data
3:10 Using Jungle Scout to generate keyword data
4:04 Enhance Helium 10 / Jungle Scout data with AI and text visualization of search patterns
4:49 Importing Helium 10 data to InfraNodus
5:46 Interactive data cleaning
6:11 Identifying the main topical clusters of keywords
7:30 The blind spots: find empty market niches to target
8:10 Writing down your product insights
8:50 “Informational gain”
9:52 There are no structural market insights in Helium 10 or Jungle Scout
10:42 Analysing the current supply with Jungle Scout data
11:10 Manual text import to InfraNodus (for non-paying Jungle Scout subscribers)
12:44 Structural insights let me see the gaps in the market!
14:20 Using AI to help you generate product ideas
15:50 Analyse the current product demand with InfraNodus
18:48 Comparing demand and supply to identify a niche

Try at https://infranodus.com/use-case/marketing-research