I am only working with two tables.
One is a list of IDs (Accounts that i need to find the information on)
I am looking up those ids in another table (purchases)
The purchase table has a list of every purchase the amount and the date of the purchase.
I need to know the most recent purchase and the date of that purchase and the largest purchase and the date of that largest purchase and the sum of all purchases..
All where the purchase amount is greater than zero. I manage to get this far. But when I try to add anything else the info is wrong.
the FORSPRING table all will have records (most likely multiple) in the purchases tables
`SELECT FORSPRING.ACCOUNTID,MAX(p.purchase_date__c) "LAST PURCHASE DATE"
FROM FORSPRING
LEFT JOIN PURCHASES__c P
WHERE p.amount__c>0
ON FORSPRING.ACCOUNTID=G.ACCOUNT__C
GROUP BY FORSPRING.ACCOUNTID
ORDER BY "LAST PURCHASE DATE";`
I think you are looking for a subquery instead.
SELECT FORSPRING.ACCOUNTID, (SELECT MAX(purchase_date__c) FROM PURCHASES__c WHERE o.amount__c>0 AND FORSPRING.ACCOUNTID=G.ACCOUNT__C GROUP BY ACCOUNT__C) "LAST PURCHASE DATE" FROM FORSPRING GROUP BY FORSPRING.ACCOUNTID ORDER BY "LAST PURCHASE DATE";
Related
I'm trying to develop a new products database for a client and I am having a hard time finding a solution to handle the many different prices a product can have.
Variables that can affect the price of a product:
region (where the customer lives).
customer type (whether they're a new customer or a registered customer).
order type (whether you want to purchase the item once or subscribe monthly).
store type (there were many store types, but now they're transitioning to one, but I don't know if they will add more in the future again so I want this to be flexible
Product Table
id
product_name
sku
description
1
Vanilla Protein Powder
1111
This is a description...
Attributes Table
id
associate_type
region
store
currency_code
order_type
1
2
1
11
usd
1
2
2
1
11
usd
2
Product Attributes Table
id
price
product_id
attribute_id
1
49.95
1
1
2
29.95
1
2
I was initially thinking this would be a good route to go, but the issue that arises is on the product page I want to display the price of the product if you want to purchase it once and the price if you wanted to subscribe. The same issue would happen if I also wanted to show a list of product cards on a product category page displaying both prices.
The issue I run into
When I write a query to get the correct products with the correct price lines, I would filter all the products by the variables mentioned above, but I will always want the subscription price and the one-time price, so in the query, I would have to include WHERE order_type = 1 AND order_type = 2 but doing this would return duplicate records of the product/ products because of the different prices for a one-time purchase and a subscription purchase.
Is there a better way to set up the tables I have so that the query would not return duplicate records of the product/ products? Or is there a way to write the query to handle this for me? Or do I even need to switch up my database design altogether?
GA4 tracks that the value of the purchase revenue is less than the event value
Some orders tracked on GA4 have a purchase revenue value less than the event value
I re-ordered these faulty orders the other day and it didn't go wrong
I can't find the reason
enter image description here
We have customers that order product on an annual basis. I have a report that needs to show only customers and related orders that have NOT placed an order in the current year. I filter all orders down to the current year and the year prior.
Right now, if a customer has orders for last year, I want them to show on the report, but once the customer places an order for the current year, I want both the current year order and the prior year orders to drop off the report.
Our salespeople use this report to manage the customers that need to be contacted in the current year. Once the report is empty, they are done for the year.
I know how to suppress the rows based on the value of a single member of the group, but suppressing them does not remove them from the summary calculations, so I need them to either disappear, or I need to be able to change all values to zero for that customer once they place a new order.
Thank You.
I created a running total field to trap the current year.
If Year(#Date)=2019 then 0 else Qty
When I put the formula into a qty formula, I get the "Summary has been specified for a non-recurring field"
I have 10 different products (A,B,C),..,J)have multiple purchase dates (by various customers) and delivery dates. I want to see which products have the date difference of less than 5 days. If the date difference is less than 5 days, which products have customer rating less more than 3.If the above criteria is satisfied I want to fetch those products that has the minimum date difference from the queue along with the "Important_date".If there are same minimum date difference for a particular product then I would like to select the top one among the same product in recent times and mark the purchase date as the "Important_date".
The columns in the table are: Product,Purchasedate,deliverydate,date_difference,customer_rating.
I am trying to use case statements to solve the problem in PostgreSQL.
I am looking for an output which will give me all the columns of the table along with "Important_date."
I am really new in Tableau and I would be needing help in some calculation.
My simplified data consists of three columns:
customer no, transaction date, lost_flag
here lost_flag is a boolean which marks as true if a customer made a transaction in the last 365 days.
(max([transaction date)< dateadd('year',-1,max([Report Date])))
I need to find the:
1. number of customers that are lost
2. number of customers that are not lost
3. attrition rate
For number one, I initially did
countd(if ([Lost_flag]) then [Customer No] else "" END)
But obviously it did not work.
Note: Customer_No is not unique here since this is a transactional sales data source
Thanks in advance.
First you need to make sure that your lost flag is being calculated at the customer level rather than the transaction level. In order to do this use the following formula, note that it is similar to yours however I have made it be fixed at customer id and also replaced report date with todays date:
Lost Flag = { FIXED [Customer ID]: (max([Transacton Date])<dateadd('year',-1,max(TODAY())))}
This will add a TRUE or FALSE flag against every transaction for a customer.It is important that this is fixed at the customer id level rather than the transaction otherwise all old transactions for a customer will be flagged as lost even if they have a recent transaction.
So in order to see how many customers are lost do the following:
1) drag lost_flag onto the rows shelf
2) drag customer id onto the text mark and then right click- measure - count distinct.