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I was hoping to have some advice on what is best way to show following data.
I want to show list of users who paid the ticket after the email is sent. My goal is to analyze and see if sending email enticed users to pay or not.
Thanks
Solved! Go to Solution.
Hi @stribor45 ,
To effectively analyze whether sending emails influenced users to pay their out
standing parking tickets, you can structure your dataset to track payments before and after the email was sent. A comparison table that shows each user's payment status change over time is the best way to present this.
Here's a sample table structure to visualize the data:
User ID | Ticket ID | Email Sent Date | Payment Date | Paid After Email? |
101 | T001 | 1/1/2025 | 1/3/2025 | Yes |
102 | T002 | 1/1/2025 | - | No |
103 | T003 | 1/1/2025 | 1/5/2025 | Yes |
104 | T004 | 1/1/2025 | 12/29/2024 | No (Paid Before) |
Key Insights are as follows:
For example:
Paid After Email % =
DIVIDE(
COUNTROWS(FILTER(Payments, Payments[Paid After Email?] = "Yes")),
COUNTROWS(Payments),
0
)
This table makes it easy to see which users responded to the email and provides a clear, actionable metric for assessing your communication strategy's success.
Best regards,
Hi @stribor45 ,
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Regards,
Xiaoxin Sheng
Hi @stribor45 ,
To effectively analyze whether sending emails influenced users to pay their out
standing parking tickets, you can structure your dataset to track payments before and after the email was sent. A comparison table that shows each user's payment status change over time is the best way to present this.
Here's a sample table structure to visualize the data:
User ID | Ticket ID | Email Sent Date | Payment Date | Paid After Email? |
101 | T001 | 1/1/2025 | 1/3/2025 | Yes |
102 | T002 | 1/1/2025 | - | No |
103 | T003 | 1/1/2025 | 1/5/2025 | Yes |
104 | T004 | 1/1/2025 | 12/29/2024 | No (Paid Before) |
Key Insights are as follows:
For example:
Paid After Email % =
DIVIDE(
COUNTROWS(FILTER(Payments, Payments[Paid After Email?] = "Yes")),
COUNTROWS(Payments),
0
)
This table makes it easy to see which users responded to the email and provides a clear, actionable metric for assessing your communication strategy's success.
Best regards,
Thank you. I will try this and let you know.
Hi @stribor45
When it comes to things like this when I am unsure how data are to be visualized, I ask AI for guides.
Here's what I got form ChatGPT https://chatgpt.com/share/677a0546-ddb0-8000-b15f-84512099e282
Hi,
Share some data to work with and show the expected result. Share data in a format that can be pasted in an MS Excel file.
User | Count |
---|---|
84 | |
76 | |
70 | |
48 | |
39 |
User | Count |
---|---|
111 | |
56 | |
51 | |
42 | |
41 |