I sent the same link to three Slack channels last Tuesday and realized I had zero way of knowing which one drove the 47 signups I saw that morning. Honestly, it was a bit of a wake-up call — I had been relying on basic analytics for years, but this was the first time I saw the limitations of my approach. I was using a simple curl command to shorten my links, but it didn't give me any insight into who was clicking on them or where they were coming from.
Why curl wasn't enough
I was using curl to shorten my links, which worked fine for a while, but it didn't scale well. I had to manually keep track of which link corresponded to which channel, and it was a real pain. I was using a spreadsheet to keep track of everything, but it was getting out of hand — I had 17 different links to keep track of, and it was hard to see which ones were actually driving traffic. I tried using some basic Python scripts to automate the process, but it was still a lot of work. I was using the requests library to send HTTP requests to the link shortener, but it didn't give me much insight into what was happening after the link was shortened.
The spreadsheet that saved my sanity
I decided to try out a new link shortener, and that's when I stumbled upon LinkCut. I was looking at the device breakdown in LinkCut and noticed that most of my traffic was coming from mobile devices — which was weird, because I had assumed that most of my users would be on desktop. I was using the custom slug feature to make my links more readable, which was a nice touch. I also set up link expiry on some of my links, which helped me keep track of which ones were still active. (I have to admit, I was a bit skeptical of LinkCut at first — I'd never heard of it before, and I wasn't sure if it would be reliable. But it turned out to be a great tool.)
When the data surprised me
After I started using LinkCut, I was able to see which links were driving the most traffic, and it was surprising. I had assumed that my Twitter link would be the most popular, but it turned out that my LinkedIn link was actually driving more traffic. I was also able to see which countries my traffic was coming from, which was interesting — I had a lot of traffic from the US, but also a surprising amount from India. The thing is, I still don't fully understand why my LinkedIn link was so popular — I'm not sure if it was the content of the link, or just the fact that I was posting it at the right time. Look, I know that correlation doesn't imply causation, but it was still weird to see.
When this approach falls apart
The thing is, using a link shortener like LinkCut isn't always the right choice. If you're dealing with a huge volume of traffic, you might need something more robust. I'm not sure if LinkCut would scale well to thousands of links per day — I didn't test it that heavily. Honestly, I was a bit lazy and didn't want to deal with setting up my own link shortener, but if I were running a bigger operation, I might consider it. I'm also not sure if the free plan would be sufficient for a larger business — the 5-link limit per month might be too restrictive.
I'm still using LinkCut, and it's been working well for me. I've been able to track my links and see which ones are driving the most traffic. Has anyone else hit this exact wall, where they needed to track their links but didn't know where to start?
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