I think its a case of creating 3 calculated metrics. 1 avg time spent on page per visit2 overall avg time spent on all pages per visit3 the difference of 1-2(or vice versa) All are positives except the last one which (could be negative)   

Hi I am not sure I understand you now. How is master store order collected today? Also how are you calculating conversion rate?

You have 2 options one should be out of the box. the other you need to report 1 at a time. The first and ideal is a cross sell report. It will show a selected product and any other products in order of frequency it was sold with. The problem is that its a one to many relationship. Option 2If you cap...

Check to see if in your setup you have: Time of Day: Hourly or Hour of Day Add these as a filter to "Same day" then you can pick equal to or less than see if it filters as desired.

no you dont need to copy it technically. You could make a change and save(change being geo region) but in fuutre if you need to get back to another region to make a different change then it wont exists. you would in essence need to re -create it.

Typically a scheduled report will default to its last saved version. So if geo segment is differentiator... Create report version A save it then schedule it for group A. Make change for group B save it then schedule it for group B etc... I also recommend you look at the "publishing lists" function. ...

correct. KEY it top category hierarchy- date- amount_excl_tax- Amount_incl_tax- store_id- shop order ID then if a User(keyID) has more than 1 order in a day. You can see the 2 different orders broken out by the ID as well as look at the daily total.If this data is collected on web page or not as lon...

Can you verify what is the nature of the pages you are trying to work with? Are they a type is PSA(single page app)? regular html pages? 

ok you if key is the key cross over element between web and your upload file then you should be ok with SAINT. KEY it top category hierarchy- date- amount_excl_tax- Amount_incl_tax- store_id Then in your report when you pull by key: KEYcorrelated in Adobe by all dates:date 1date 2date 3  I still fee...

you will need to handle in 2 parts. 1 make a variable like an evar for the user ID maybe also transaction ID. then use SAINT uploads to make secondary categorizations of such users. very very powerful and allows all sorts of down stream reporting. https://docs.adobe.com/content/help/en/analytics/com...