Promotion Script: Easy Tips & Examples (Get Higher Conversions)

Okay, so today I wanted to share my experience working on a “promotion script.” It wasn’t anything super fancy, but it was a good learning experience, and I figured I’d walk you through how I did it.

The Goal

Basically, I needed a script that could automatically apply a discount code to a bunch of customer accounts. We had a special promotion running, and manually adding the code to each account was going to be a huge pain. So, automation was the way to go.

Getting Started

First things first, I needed to figure out where this data was stored. Turns out, all the customer info was in a big spreadsheet. Perfect! That made things a bit simpler. I decided to use Python because, well, it’s pretty good at handling this kind of stuff, and I am familiar with writing Python.

My Process

• Reading the Data: I used the csv library in Python to open and read the spreadsheet. It was pretty straightforward – just a few lines of code to loop through each row and grab the customer ID and any other relevant info.
• Making the Changes. I wrote a little function that would connect that system and apply the discount code.
• Testing, Testing, Testing: Before unleashing this on all the customer accounts, I did a LOT of testing. I created a small test spreadsheet with just a few dummy accounts. I ran the script, checked if the discount codes were applied correctly, and made sure nothing broke. It took it a few times find tuning before all correct.
• Running the Script: Once I was confident that everything was working as expected, I ran the script on the full customer list. I kept an eye on it to make sure there were no errors, and everything went smoothly. I saw all discount codes applied successfully.
• Double-Checking: Even after the script finished, I manually checked a few accounts just to be 100% sure. Better safe than sorry, right?

What I Learned

It wasn’t a super complex project, but I definitely learned a few things:

• The importance of testing: Seriously, test, test, and test again! It’s much easier to fix problems on a small test dataset than to deal with a mess after running the script on thousands of accounts.
• Reading documentation: The csv library in Python, so I spent some time reading the documentation to understand how to use it properly.
• Keep the data clean: Making sure the spreadsheet was clean and consistent made the scripting process much easier.

All in all, it was a successful project. It saved a bunch of manual work, and I got a little bit better at scripting. Hope this helps anyone who’s tackling a similar task!