Please don't throw stones at me! I'm a newbie in statistics (I'm studying psychology).

I have this test for an email marketing. It was a simple test to understand if people would purchase something with an email with and without an image banner.

List size (total population): 20,210 Total number of people who were picked to receive the email for the test: 10,882 (53% of the sample size)

Number of people which were sent email A: 5,441 Number of people who opened email A: 992 Number of people who clicked on email A:58

Number of people which were sent email B: 5,441 Number of people who opened email B: 991 Number of people who clicked on email B: 39

The click rate is 1.1% on A, and 0.7% on B, but how do I know if this has practical importance? can I conclude that this test tells me that is more effective to use banners?

This might be a newbie question, but I'm not great in statistics:

I have this test for an email marketing. It was a simple test to understand whether people would purchase more through an email marketing campaign with and without an image banner. So the dependent variable is clicked emails and the independent variable is the banner.

List size (total population): 20,210 Total number of people who were picked to receive the email for the test: 10,882 (53% of the sample size)

Number of people which were sent email A: 5,441 Number of people who opened email A: 992 Number of people who clicked on email A:58

Number of people which were sent email B: 5,441 Number of people who opened email B: 991 Number of people who clicked on email B: 39

The click rate is 1.1% on A, and 0.7% on B, but how do I know if this has practical importance? can I conclude that this test tells me that is more effective to use banners? If not how do I fix this experiment?