I have looked into the responses of "ItemSeach ()" and "lookUp()" functions in Amazon Advertising API and
could not find a possible way to get daily/monthly sales of an item.
Popular product research software like , JungleScout, ProfitPhonix, AMZ tracker etc do display Number of monthly sales but all of them show different results.
Does Amazon provide this information ? If not then how the above software are estimating it?
I think when they fetch the ASIN information, they do store "some thing" in their DB and next time when the same ASIN is pulled again then the estimated sales are roughly calculated based on DB previous value/score.
Any help will be highly appreciated .
Thanks
It is not a solution, but here is a reply from UnicornSmasher I found, it may help to save time searching for something that doesn't exist.
constantine We just took all of the bulk data from the products that are being tracked in AMZ Tracker and applied a formula to it all. If you have specific products that are way off please let us know! Certain categories we had less data on. This is version 1 of the research tool, so I'm sure it will continue to improve quickly over time.
Here is the link to question and answer:
amz forum
So, now, the question is 'What formula do they use?'
Let me know if you come up with an idea :)
Let me tell you first that if you're not the part of the Amazon data team you can't get the sales numbers of any product. And, its probably not easy to estimate sales using Amazon advertising API. You need to constantly track a huge number of products to estimate the sales. Here I can explain how AMZ Insight an Amazon tracking tool estimates the sales of any product.
They constantly track a few thousand products from all the categories and collect massive data. Then their in-house data scientist analyze the data to form the sales estimating algorithm. Relationship of multiple data points plots a scattered graph which means of course sales estimates are not 100 percent right.
Data is continuously gathered and analyzed by tracking the Best Seller Rank (BSR), Buybox, reviews and more factors. Then the relationship between this data is formed to come up with the unit sales. Once this relationship is in place then it is much easier to estimate monthly sales and revenue for the product.
Related
If someone could please advise on how to achieve the following function on my site: I have a business where I ship live animals to customers. The challenge is communicating the weather forecast with the customer, along with the safest day/s to ship for the animals’ wellbeing. This planning is especially key during the peak summer and winter months when temperatures are very extreme. I am looking to automate these functions during the customers checkout process, giving them control of the shipping date. I am looking to implement something like this on my site.
I found another website where I recently placed an order that provided this relevant information for the customer to review before deciding on what day they would like to have the animal shipment shipped out. The table provided a 5 day forecast, which included temperatures for morning and evening at the point of origin, in transit, as well as the customers’ destination address. Any day/s where the temperature is too hot or too cold was marked as unavailable (red) for shipping. Possible shipping dates consisted of two consecutive days where temps are in the safe range and labeled as available (green) Excluding Friday, Saturday, and Sunday. It is also important for the customer to plan ahead and pick a shipping day based on their availability to be home to receive the package the following morning.
i have created a model in AWS
contains Sales records by date
for example
Type: Sale,Time:2016-08-01,Success:1 (1 is a boolean)
i want to predict how much Sales will be after 1 month from the latest date (2016-08-01)
which means a combo of Type=Sale AND Time >2016-08-01 and Success=1
any idea how to achieve this
thank u
You need to aggregate your data to a wider array of attributes to be able to use Amazon ML for such predictions. You can use different level of aggregation, for example daily, weekly and monthly.
You should also add any relevant information for the items that you are selling. For example, if you are selling umbrellas, you should add information about the amount of rain on that day, or if you are selling flowers, you should add information about day of the week or proximity to holidays, when people are buying more flowers.
I am currently doing a customer segmentation project in SAS.
I have identified 2700 customers who are have made a purchase in each of the 4 years I am analysing. For the cluster analysis the more purchases/customer each year the better the data quality is. However as I become more selective over number of purchases needed each year per customer, the less customers can be considered in the cluster analysis.
How should I go about choosing the cutoff point for the number of purchases necessary per customer per year to be considered for analysis. I am struggling with this trade off between data quality and having enough customers for analysis.
Thanks a lot! :)
There is no correct way. It entirely depends on your data.
Clustering such data is "magic" and the results tend to be all but statistically sound. More like random gueses.
Because of this, always try multiple parameters and carefully inspect the results. No equation ever will tell you what a good clustering is.
I want to create a report in Netsuite ERP that shows me the information about Departments Sales and Budget by Month. I think I can achieve this by creating a saved search that chooses this items, however I don't understand under which category I can find this fields. A saved search would be ideal as I am trying to authomatize the reports in a java application, and I discovered that I can call the savedSearch results.
I found the Department under the standard Criteria in the subcategory "Owner..." and I added a Date standard criteria with the values "within this month", however I have not found the group that contains all the Sales/Income/Margin or the budget (though, I found an aggregation sum function that may be used along with a field). I will appreciate any help. Also, will the addition of this fileds be enough to get the Sales X Department X Date information or do I have to use a different join method?
Thanks!
You'd have to combine two saved searches to achieve this.One on budgets for the period you need. The department column is available on the budgets saved search.
The other would be transactions for the period. Generally budgets are against posting transactions so Invoices, Cash Sales, Credit Memos and Cash Refunds would be in your other search. If you group those by Department you could then combine the two searches in code to create your own budget vs actuals report.
So I have made a spreedsheet to help me keep track of my power and gas bill - well the total cost of the bill anyway. This way as the months go on I am able to see what the average Power and Gas bill have been.
I am using only sheet1 and prefer to do it this way, so when I show my partner they don't need to flick through pages of numbers. It's right in front of them with Power & Gas in the next row - take a look at the image below.
So as you can see from the above (not including the J3 row) I have everything laid out in the layout I would like. This way when I get a bill emailed to me I add it, and then I can pay X amount and record that.
I know how to do =sum() and =average() but how can I limit it to only the power rows automatically.
The query should be looking up G column for power or gas and then whichever one it is get the H column next to it and then work out the cost per month by looking at the date the bill came out.
Power bill is every month so that easy, gas is every 3 months.
I know in open office they have the =if() command and I made it return TRUE when it was power but it does not seem that i can use just that function? I am wondering if maybe a TUT or example that outlines how we get the result like this.
Another example would be replace gas and power with tech toys i.e batteries over a year what was the real cost per monthly.
Ok after thinking outside the square - the answer I am using is this.
=AVERAGEIF(G3:G100;"POWER";H3:H100)/COUNTIF(G3:G100;"POWER")
I divided power by it's count as we get it every month
=AVERAGEIF(G3:G100;"GAS";H3:H100)/COUNTIF(G3:G100;"GAS")/3
I divided gas by 3 as we get it every 3rd month