The only solution that offers 24 months of historical data. Relatively easy to create market segments.

Sales estimates for variant ASINs aren't always that accurate. It'd be great if there were 36 months of historical data vs. 24.

Great customer service and they listen to questions and feedback openly. The Cobalt team has provided Excel and Power BI templates to help analyze segments more easily. More infrastructure updates have gone live recently which continues to improve the data quality. Looking forward to seeing how the design team transforms the UI in the near future.

I use the market insights feature the most because it has estimated revenue and units sold data about millions of products on Amazon. It is helpful for understanding market share and new market entrants over the last 24 months. Creating a segment with predetermined products and brands is easy and the data typically generates within 15-30 minutes. The data can be exported to Excel which is helpful for creating customized visualizations in other applications.

I prefer to use the export data feature because the UI is slow and not user friendly, specifically when trying to analyze a brand's products at a granular level. Sometimes the accuracy of the data is questionable because of how the algorithm logic groups products together. It can be challenging to build a high-level segment because title keywords and categories parameters can only filter the data so much. 36 months of data would be helpful for analyzing pre-COVID trends.

Overall I've had a good experience. My experience has varied - I was extremely happy with my initial customer success rep but less happy with another. There were times when data seemed totally right, but then changes happened and that changed. It ebbs and flows.

I love the capabilities of the software. It is incredibly helpful to size up opportunities on Amazon and better help our consulting clients by understanding the landscape. Cobalt has a ton of features that are great for that.

I have had issues with data and building segments. Often times it is obvious that some of the data is totally off, or things break when downloading the data, or I make updates to a segment and then they don't actually get implemented until I make a totally segment...etc.

overall we spent a lot of time looking for solutions and found Jungle Scout to be the more reliable and accurate of all, although there are times when the data isn't as accurate as we would like

Ease of use and breadth of data captured

Accuracy of underlying data could still be improved at times

Overall my experience with Jungle Scout Cobalt has been great and a game-changer for our marketing and brand management department. I use this software almost every day and the amount of data provided is just amazing.

My most used feature is the market insights tool. This feature lets our team know-how are clients are compared to competitors and if there's room to grow a brand or if there is something we need to improve upon. Everything from a high level view of the overall market size and revenue to the detailed view of ASIN trends and keyword bids. This software has been a game changer when it comes to growing our department. The amount of data that is available with just a few clicks is priceless and has brought great value to our team when doing market research, audits, optimization, essential day to day duties and more.

When building segments I would like to see improvement on the filters, specifically being able to filter by subcategories. Currently when I'm filtering sometimes a subcategory doesn't fit into the segment I'm trying to build. Especially when working with "broader" terms and markets being able to filter out subcategories in bulk would be very helpful. Also if there was a cleaner way to organize the keyword list instead of tabs or having to search that would be helpful. Otherwise, I have no other features that I dislike.