I'm trying to wrap my head around this and put the numbers in a different light to see what I can learn from this.
Using an example client (my data):
Monthly Sales: 115
Monthly Uniques: 4016
Return Uniques: 1100
Using Survey Results (your data):
% of Customers Visiting More than Once: 88%
With that data, 88% of my sales was 101 sales - this should represent the number of customers who visited the site more than once.
Using my data sources, I should have 1100 people in a month that meets that criteria (Return Uniques)
This would mean that 9% of my returning visitors are purchasing a car.
The piece I'm missing that makes all this data useless is that I need to know what % of customers answered "Yes" to your gateway question of "Did you visit the website?"
If I hypothetically were to reduce that by 50% and say only half my customers saw the website, that's still a 4.5% closing rate on my return visitors and that would change my entire perspective of these visitors and how I treat them - that's a 1 in 20 chance they're going to buy in the current month.
Using an example client (my data):
Monthly Sales: 115
Monthly Uniques: 4016
Return Uniques: 1100
Using Survey Results (your data):
% of Customers Visiting More than Once: 88%
With that data, 88% of my sales was 101 sales - this should represent the number of customers who visited the site more than once.
Using my data sources, I should have 1100 people in a month that meets that criteria (Return Uniques)
This would mean that 9% of my returning visitors are purchasing a car.
The piece I'm missing that makes all this data useless is that I need to know what % of customers answered "Yes" to your gateway question of "Did you visit the website?"
If I hypothetically were to reduce that by 50% and say only half my customers saw the website, that's still a 4.5% closing rate on my return visitors and that would change my entire perspective of these visitors and how I treat them - that's a 1 in 20 chance they're going to buy in the current month.