Afternoon all,
I have a challenge to identify the changes over time with customers moving through our sales process. The data looks like this:
Week 1 Week 2 Week 3 Week 4
Customer Customer Customer Customer
2621892115 2577549317 2633689381 2633689381
2626821250 2583418722 2633698086 2633698086
2629445370 2589460465 2709502534 2709502534
2630895976 2591805032 2713387475 2713387475
(each number above is a unique customer number)
Essentially I need a way to find out:
- how many new customers have hit stage 1 (and 2,3,4)
- how many stage 1 customers have moved to stage 2 (and 2-3, 3-4 and so on)
- how many stage 1 customers have stayed at stage 1 (and 2,3,4 and so on)
- how many customers disappear altogether at each stage
and so on..
I have no starting point except to look for duplicates in each column but that is impossible to automate (for user manipulation or report updating).
Does anyone have any good starting points or know of the terms I need to research to start building this?
Your time is much appreciated.
I have a challenge to identify the changes over time with customers moving through our sales process. The data looks like this:
Week 1 Week 2 Week 3 Week 4
Customer Customer Customer Customer
2621892115 2577549317 2633689381 2633689381
2626821250 2583418722 2633698086 2633698086
2629445370 2589460465 2709502534 2709502534
2630895976 2591805032 2713387475 2713387475
(each number above is a unique customer number)
Essentially I need a way to find out:
- how many new customers have hit stage 1 (and 2,3,4)
- how many stage 1 customers have moved to stage 2 (and 2-3, 3-4 and so on)
- how many stage 1 customers have stayed at stage 1 (and 2,3,4 and so on)
- how many customers disappear altogether at each stage
and so on..
I have no starting point except to look for duplicates in each column but that is impossible to automate (for user manipulation or report updating).
Does anyone have any good starting points or know of the terms I need to research to start building this?
Your time is much appreciated.