Track signups from social media posts
Platforms show you views and likes. They rarely show you who signed up. To connect a post to a sign-up you need to set up a few small things before you post, and a short habit after. None of it needs special software.
Give every post its own link
The basic tool is a link with a tag on the end. Your sign-up page can accept extra text in the address, such as a source and a campaign name. A link for a LinkedIn post on Monday and a link for an X post on Monday are the same page, with different tags. When someone arrives by one of them, your analytics can record which one.
Name your tags in a simple pattern and keep to it: the platform, the date, and a few words for the topic. Write the pattern down. A month later you will not remember what “test2” meant. If you use a link shortener, make sure it passes the tags through, and test it once yourself.
Catch the source at sign-up
A click is not a sign-up. The person may read your page now and come back tomorrow, so the tag needs to travel with them. Store the source when they first arrive, in the browser or in your database, and attach it to the account when they sign up. Many analytics tools and sign-up forms can do this with a hidden field.
Test the whole path yourself. Click your tagged link in a private window, sign up with a test address, and check that the source shows against that account. Do this before you rely on it. Founders often find a gap at this step, such as a redirect that drops the tags.
Also add a plain question to your sign-up form: how did you hear about us? A short free-text box catches the people who saw you in a group chat or heard about you from a friend. It will not match the tags, and it gives you a second view that is useful when they disagree.
Count replies by name
Many people who come from a post never click a tracked link. They reply, send a message, or search for you later. Keep a running list of names. When someone replies to a post and matches your customer, write down who they are and which post it was. If they sign up a week later, the connection is clear.
A reply from the right person is worth more than a pile of anonymous clicks. A list of twenty names and the posts that brought them will teach you more about your market than a dashboard of totals. You can keep it in a spreadsheet with three columns: name, post, what happened next.
Run a weekly check
Once a week, spend ten minutes. List your posts. Beside each, write the clicks, the sign-ups and the named replies. Look for patterns, but be modest about them. A single week of data is small, and a post that did well once may have gotten lucky. Wait for a pattern to show up three or four times before you build a habit around it.
Compare kinds of posts, not single posts. Customer quotes against opinions. Short videos against long ones. Posts with a link against posts without. Ask one question at a time and let a few weeks pass. The answer you get will be about your audience, and no general advice can supply that.
A short example of how it plays out
Say you post a customer story on LinkedIn on Monday with a tagged link, and a shorter version on X on Tuesday with another. By Friday you have forty clicks from LinkedIn and fifteen from X. Four people signed up through LinkedIn, and one through X. Two of the LinkedIn sign-ups also replied to your post, and you recognize one as the owner of a company you wanted to reach.
That tells you something useful, though with caution. The sample is small and one week proves little. But you now know that the customer story brought a named person you wanted, on a platform where your buyers read. You decide to run two more customer stories and see whether the pattern holds.
Notice how little this required. A tag on each link, a hidden field on the form, and a list of names. No tool beyond what most founders already use. The discipline is in doing it every time, since the useful pattern only shows up after many weeks of consistent records.
If a week goes by and nothing connects, do not panic. Early on, most of your audience is cold, and sign-ups arrive slowly. Keep the records clean so that when the first few arrive, you can tell what brought them.
Repeat the process for a month and compare. You may find that your best week of clicks produced no sign-ups, while a quieter week produced three. That is normal, and it is the reason to follow people through to sign-up rather than stopping at the click.
Keep the limits in view
Attribution is never perfect. Privacy settings, private browsing and apps that open links in their own browser will hide some of the picture. Treat the numbers as a good estimate. If sign-ups jump on a day you posted, that is a signal even without a tag.
If you would rather not assemble this yourself, Quant100 puts a tracked link in every post and sends a receipt the next morning: views, replies, clicks, and the people who signed up or followed, by name, with the take that brought them.