What insights do we get from the above example?
Posted: Mon Dec 23, 2024 3:54 am
Customers by income
Most of our people are in the lower income bands and this drops off quite sharply, so we have few people to base our insights on in the upper income bands.
The average number of bookings cp number philippines has a definite relationship with the income band. The higher the income band the more holidays on average are taken.
The orange measure (which is our propensity to switch measure from above), however, shows that average length of different holiday destinations rises until the middle income bands and then falls away in the higher income bands. There are two important aspects here:
With a low number of bookings, you can only have a low value since you don’t have the chance to build up a long sequence of different ones. For a person with 1 booking, they will have the value 1. For a person with 2 bookings, they will have a value of either 1 or 1.5.
In the higher income bands the value of the pattern match measure is smaller which suggests that these people tend to visit the same holiday destinations regularly. This is an interesting insight!
We could also have used this metric as a way of selecting records – for example selecting the top 10% of my customers who are likely to switch destinations – and this could be used as a good target for promoting a new holiday destination recently added to our brochure.
Most of our people are in the lower income bands and this drops off quite sharply, so we have few people to base our insights on in the upper income bands.
The average number of bookings cp number philippines has a definite relationship with the income band. The higher the income band the more holidays on average are taken.
The orange measure (which is our propensity to switch measure from above), however, shows that average length of different holiday destinations rises until the middle income bands and then falls away in the higher income bands. There are two important aspects here:
With a low number of bookings, you can only have a low value since you don’t have the chance to build up a long sequence of different ones. For a person with 1 booking, they will have the value 1. For a person with 2 bookings, they will have a value of either 1 or 1.5.
In the higher income bands the value of the pattern match measure is smaller which suggests that these people tend to visit the same holiday destinations regularly. This is an interesting insight!
We could also have used this metric as a way of selecting records – for example selecting the top 10% of my customers who are likely to switch destinations – and this could be used as a good target for promoting a new holiday destination recently added to our brochure.