How to Measure Click-Through Rates on Shared Links

Click-through rate (CTR) is simple in theory: how many people who saw your link actually clicked it? But in practice, measuring it accurately is surprisingly hard — especially across multiple channels.

Here's a practical guide to getting it right.

Why CTR is worth tracking

CTR tells you whether your content, subject line, or call to action is compelling enough to make someone act. A high-impression, low-CTR piece of content means your headline isn't working. A low-impression, high-CTR one means your distribution is the bottleneck, not the content.

Without CTR data, you can't tell the difference.

The problem with most approaches

Most marketers either rely on platform-native analytics (Twitter impressions, Mailchimp click rates) or they skip tracking entirely and just look at page views. Both approaches have serious gaps.

Platform analytics only cover one channel at a time. Page views tell you traffic arrived, but not where it came from or which specific link drove it. Neither gives you a unified picture.

How short links fill the gap

When you use a unique short link per placement, you get click data that's:

• **Channel-agnostic** — works the same whether it's in an email, a tweet, or a Slack message
• **Unified** — all your click data lives in one dashboard
• **Detailed** — geo, device, and referrer data comes with every click

A simple CTR workflow

1. Create a unique slug for each placement (e.g. snu.to/post-email, snu.to/post-twitter) 2. Share your content 3. After 24–48 hours, compare click counts across slugs 4. Divide clicks by estimated reach for each channel to get CTR

You won't always have exact impression counts — especially for things like Slack messages or DMs — but even raw click counts let you rank channels by absolute performance.

What good CTR looks like

There's no universal benchmark, but rough reference points:

• **Email newsletters**: 2–5% is solid, 5%+ is excellent
• **Twitter/X**: 0.5–2% on organic posts
• **LinkedIn**: 1–3% on company posts
• **Direct messages / Slack**: often 20–40% — people who receive direct links are highly qualified

Compare your numbers against themselves over time. Improving your own baseline matters more than hitting an industry average.

The referrer dimension

One underrated feature of short link analytics is referrer tracking. Even when you use the same link across placements, the referrer field often tells you where the click came from — a direct Twitter share will show t.co, while a newsletter click might show your ESP's redirect domain.

Combining slug-level tracking with referrer data gives you surprisingly granular attribution without any complex setup.