What is the data that jungle scout and similar software use to track sales and revenue? Is it just BSR? I am wondering what they base their results on since this is one of the most important pieces of data we use to choose a PL product.
Looking at a product of great interest tonight, ASINspector says $49,000 a month in sales, JS says $150,000 a month, whats a few thousand here and there at 122 reviews for top product. This is why its complicated to compare the 2 , how do there algorithms differ?
JS is very close as well on my products – as expected. Here is what really gets me – I run a very detailed search on JS specifically with low reviews , high product cost… One Aromatherapy Essential Oil Diffuser JS says $170,000 a month revenue, ASINspector says $27,000 (more realistic) but with only 8 reviews and an actual Amazon Stated BSR of 32 in Home & Kitchen (ridiculously low) – it is a lovely product and very well presented. Only a 3.8 review average with no apparent promos for reviews.
They use algorithms, based on category and BSR , for example
A BSR of 8000 in Toys and Games has a lot more sale than a BSR of 8000 in Home & Kitchen etc…
They probably also incorporate # reviews into the algorithm. Not sure as it is complicated. If I check my own products the sales per month are always almost double reported by jungle scout. A lot of variables to look at, If I see a product with great BSR and low reviews always check the feedback and see if they had a promo recently. A big promo can dramatically reduce BSR and provide fictitious numbers. Food for thought…..
I just ran ASINspector on two of my products and it is very close to monthly revenue – like within 10% , waiting to see what JS says, might take a day but I will report back, did not know I could run a single product on the web app of Jungle Scout
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