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In this video blog, I'm revealing 5 Amazon FBA selling strategies that have worked well for me to better rank and sell my Amazon product.
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Another way to get reviews is to outsource reviews to amazon mechanical turk workers for $1 per review. In a matter of days you can have hundreds of reviews if your willing to pay that much. I have done reviews for other people on mturk and thats how i know this is possible. That's my plan.
Thank you so much stephan. Sooooo much valuable info in here. Do you know any alternatives to Zonblast and tomoson.com for the UK? Also, how long should we leave the automatic targeting ads running for? Is there going to be an ASM 6? I really cant afford the one thats live right now. Thank you in advance
I will be selling my products in the UK amazon marketplace because even though its smaller there will be less competition for me to be able to succeed and also to learn the ropes, also I live here in the UK haha! In a near future I am planning to expand my business to sell all over europe (which is actually very easy) and then going to the big boys in the US. Hopefully by then I will have a big enough budget for my marketing expenses, this will include Amazon PPC, super high quality images and very compelling as well.
@Jazzel_y Thanks! Not sure for UK yet - are you saying you sell your product in the UK Amazon store? I think you should be focused on the US Amazon Store, that's where the biggest market is. I run automatic ads for at least a month to compile enough data. And not sure for ASM 6.
This article has been motivated by a response I gave to a problem raised on an Oracle developer forum. Our requirement is to produce a report that details customer spending for each month of the year. Our database only records actual spend, so for any given month, data for dormant or idle customers will have to be generated.
First, well create a mock CUSTOMER_ORDERS table with sparse data to represent customer spending. To keep the example simple, well denormalise the customer name onto the orders table.
a sparse report.
With our customer orders data as sparse as it is, a monthly report for purchases by customer would look as follows.
adding the missing months.
We can see from the data that we are missing most months of the year for our two customers. Remember that our requirement is to show a report for every month in 2004 for every customer. First we will build a "time dimension" set (using subquery factoring) and outer join it to our orders table.
We can see that this hasnt quite worked. We have the zero sums and the year-months, but we are missing customer names. This is because we outer joined to CUSTOMER_ORDERS on the year-months, so any customer columns would show as NULL for deficient rows. Until PARTITION OUTER JOIN appeared in Oracle 10g, we couldnt "invent" data easily , though the next section shows that it is possible in prior versions.
data-densification without partition outer join.