Who Clicks Your Links? How to Get Demographics, Location & Device Data from Every Click
Published on by blrb.ai Team
Most URL shorteners tell you how many people clicked. That’s it. A number. But what if you could see who clicked — their zip code, neighborhood income level, education demographics, and whether they’re browsing from a phone in Miami or a laptop in Minneapolis?
That’s the difference between click counting and click intelligence. And it’s a difference that changes how you make marketing decisions.
The Problem With Click Counts
You shared a link. It got 847 clicks. Great — now what?
That number tells you almost nothing actionable. You don’t know if those clicks came from your target market or random bots. You don’t know if your campaign reached affluent suburban professionals or college students in dorms. You don’t know if your audience is concentrated in three zip codes or scattered across 40 states.
Traditional URL shorteners — Bitly, TinyURL, Rebrandly — were built in an era when “how many” was enough. Their analytics dashboards show you a click count, maybe a country breakdown, maybe the top referring website. Bitly’s premium plan ($300/month) will show you city-level data. That’s their ceiling.
But marketers in 2026 need more. You need to understand your audience at a level that actually informs decisions — where they live, what their neighborhoods look like economically, whether your message is reaching the right communities.
What “Knowing Who Clicks” Actually Means
When we talk about getting demographics from link clicks, we’re not talking about identifying individual people. We’re talking about building a rich, aggregate picture of your audience using data that’s already publicly available — you just need the right tool to connect the dots.
Here’s what’s possible with every single click on a shortened link:
Geographic Data (Down to the Zip Code)
Every click comes with an IP address, and every IP address maps to a geographic location. Most shorteners stop at the country or city level. But with geolocation APIs and proper data enrichment, you can resolve clicks down to the zip code level.
Why does this matter? Because zip codes are the building blocks of market segmentation. A click from zip code 90210 (Beverly Hills) tells a very different story than a click from zip code 79901 (El Paso). Same country, same state — completely different audience.
With zip code-level tracking, you can:
- See exactly which neighborhoods are engaging with your content
- Identify geographic clusters of interest you didn’t know existed
- Map your audience on an interactive heatmap to visualize engagement density
- Compare campaign performance across specific regions, cities, or even neighborhoods
Demographic Insights (Income, Education, Lifestyle)
Here’s where it gets powerful. The U.S. Census Bureau publishes detailed demographic data for every zip code in the country — median household income, education levels, homeownership rates, age distribution, urban vs. rural classification, and more.
When you know the zip code of a click, you can cross-reference that against Census data to build an aggregate demographic profile of your audience. Not “this individual person earns X” — but “the people clicking your links tend to live in neighborhoods with a median household income of $78,000, where 64% hold bachelor’s degrees, and 71% are homeowners.”
That’s the kind of audience intelligence that ad platforms charge thousands of dollars to provide. And you can get it from a $5/month URL shortener.
Device and Referrer Data
Beyond geography and demographics, every click also reveals:
- Device type — mobile, desktop, or tablet
- Browser — Chrome, Safari, Firefox, etc.
- Operating system — iOS, Android, Windows, macOS
- Referrer — where the click came from (Twitter, email, LinkedIn, direct)
- Timestamp — when the click happened, down to the second
Combine device data with geographic data and you start seeing patterns: maybe your West Coast audience clicks mostly from iPhones during commute hours, while your Midwest audience engages from desktops during lunch breaks. That kind of insight shapes everything from ad creative to send timing.
How It Actually Works (The Technical Side)
You might be wondering: is this legal? Is it accurate? How does a URL shortener pull this off?
The process is straightforward and completely privacy-compliant:
Step 1: Someone clicks your shortened link. When a user clicks a blrb.ai link (like blrb.ai/q8xK), our server processes the redirect.
Step 2: We capture the IP address. Every web request includes the requester’s IP address — this is how the internet works. No cookies, no tracking pixels, no JavaScript fingerprinting required.
Step 3: We geolocate the IP to a zip code. Using commercial geolocation databases (the same ones used by ad networks, CDNs, and fraud detection systems), we resolve the IP to a geographic location. Accuracy at the zip code level is typically 80-90% for U.S.-based clicks.
Step 4: We enrich with Census demographics. We cross-reference the zip code against the U.S. Census Bureau’s American Community Survey data. This is publicly available, aggregated data — it describes neighborhoods, not individuals.
Step 5: We visualize everything. Your dashboard shows an interactive heatmap of clicks, a demographic breakdown of your audience, and exportable data for deeper analysis.
No cookies are set. No personal information is collected. No GDPR consent banners needed. The entire system runs on first-party server-side data that exists in every web request.
What You Can Do With This Data
Understanding who clicks your links isn’t just interesting — it’s actionable. Here are real use cases:
Validate Your Target Market
You think your audience is millennial professionals in urban areas. But your click data shows heavy engagement from suburban zip codes with median incomes above $100K and high homeownership rates. That’s a signal to adjust your messaging, ad targeting, or even your product positioning.
Optimize Ad Spend Geographically
If 40% of your link clicks are concentrated in five zip codes, why are you running national campaigns? Pour your ad budget into the areas where engagement is already highest and expand from there.
Prove Campaign ROI to Clients
If you’re an agency or freelancer, showing a client that their campaign reached zip codes with median household incomes matching their target buyer is infinitely more compelling than “you got 2,000 clicks.”
A/B Test By Audience Segment
Share the same content with two different link variants. Compare the demographic profiles of who engages with each. Now you know which version resonates with which audience — not just which got more clicks.
Detect Bot and Fraud Traffic
When your “viral” link shows 500 clicks from a single data center IP range with no geographic diversity and no device variation, you know those aren’t real humans. Granular click data makes fraud obvious.
Inform Content Strategy
Your blog post about retirement planning got heavy engagement from zip codes with older demographics and higher incomes. Your post about student loan refinancing resonated in zip codes near universities with younger populations. Now you know what content to create more of — and who to target it toward.
How blrb.ai Does This for $5/Month
Most of the analytics described above simply aren’t available from other URL shorteners. Here’s where the major players stand:
| Feature | Bitly Free | Bitly Premium ($300/mo) | TinyURL | Rebrandly | blrb.ai Pro ($5/mo) |
|---|---|---|---|---|---|
| Click counts | ✅ | ✅ | ✅ | ✅ | ✅ |
| Country-level data | ✅ | ✅ | ✅ | ✅ | ✅ |
| City-level data | ❌ | ✅ | ❌ | ❌ | ✅ |
| Zip code-level data | ❌ | ❌ | ❌ | ❌ | ✅ |
| Demographic insights | ❌ | ❌ | ❌ | ❌ | ✅ |
| Interactive heatmap | ❌ | ❌ | ❌ | ❌ | ✅ |
| CSV data export | ❌ | ✅ | ❌ | ✅ | ✅ |
| QR code generation | ✅ | ✅ | ✅ | ✅ | ✅ |
Bitly charges $300/month for their Premium plan — and even that doesn’t include zip code tracking, demographic data, or heatmaps. Those features don’t exist in their product at any price.
blrb.ai was built specifically to answer the question “who clicks your links?” — not just “how many clicks did you get?” The free plan gives you 10 links per month with basic tracking. Pro ($5/month) unlocks zip code-level tracking, demographic insights, interactive heatmaps, and full CSV export for 1,000 links per month.
Getting Started in 60 Seconds
Getting click demographics doesn’t require a complex setup or enterprise contract:
- Create a free account at blrb.ai
- Shorten a link — paste any URL and get a trackable blrb.ai link
- Share it — use it in emails, social posts, ads, anywhere you’d share a link
- Watch the data roll in — your dashboard updates in real time with geographic data, device info, and demographic insights
Every click builds a richer picture of your audience. The more links you track, the more comprehensive your audience profile becomes.
The Bottom Line
Click counts are a vanity metric. They tell you something happened, but not who it happened with or what it means for your business.
The technology to go deeper has existed for years — IP geolocation, Census data enrichment, server-side analytics — but no URL shortener bothered to put it together in a way that’s accessible to marketers, small businesses, and solo creators.
That’s changing. When every click tells you not just “someone clicked” but “someone in a high-income suburban neighborhood clicked from their iPhone at 8 AM on a Tuesday,” you have real intelligence. You have data that shapes strategy, validates assumptions, and proves ROI.
The question isn’t whether you should track who clicks your links. It’s why you’re still using a tool that only counts them.
Ready to see who’s really clicking your links? Start free with blrb.ai — upgrade to Pro for $5/month to unlock zip code demographics, interactive heatmaps, and full data export.