NFC Cards vs. QR Codes: Which Drives More Engagement?

QR codes had a moment. Pandemic-era menus made them ubiquitous, and for a while it seemed like QR would become the default for contactless information sharing. Two years later, the data tells a different story — especially for business card use cases.

We analysed 50,000 profile interaction events from Belcard users across Nepal over a 90-day period. Here's what we found.

The setup: what we measured

We compared two cohorts of Belcard users:

• NFC cohort: users who shared their profile via physical NFC tap (detected via the ?nfc=1 parameter)
• QR/link cohort: users who shared their profile URL via QR code, WhatsApp, LinkedIn, or direct link

For each interaction, we tracked whether the visitor: viewed the profile, clicked at least one link, and saved the contact (contact_save event).

The results

Metric	NFC tap	QR / link share
Profile views (per share)	1.0 (by definition)	1.0 (by definition)
Link click rate	71%	44%
Contact save rate	38%	12%
Average links clicked per visit	2.3	1.1
Bounce rate (0 clicks)	17%	51%

The numbers aren't close. NFC taps drive 3× higher contact-save rates and 61% lower bounce rates than QR or link-based shares.

Why the gap is so large

The difference isn't about the technology — it's about context and intent.

When someone receives an NFC tap, it happens in the middle of a face-to-face conversation. They've just met you. They're already engaged. The profile opens while you're standing in front of them, which creates social momentum to actually explore it. Clicking LinkedIn while someone is watching costs nothing socially — in fact, it's expected.

A QR code or shared link, by contrast, is almost always opened later. The context is gone. The energy of the meeting has dissipated. There's friction — they have to remember who sent it, decide if it's worth opening, and then do something with it. Most don't.

Context is the conversion mechanism. NFC delivers your profile at the exact moment of maximum interest. Everything else is delayed and therefore diluted.

The contact-save number is the one that matters

Profile views are a vanity metric. Link clicks are better. But contact saves are the actual measure of whether a networking interaction converted — did this person add you to their phone in a way that means they might actually call or message you?

38% of NFC taps result in a contact save. That is an extraordinary conversion rate for any marketing channel. For comparison, a well-optimised email opt-in form might convert at 3–5%.

The intuition is simple: if someone just met you and tapped your card, they're already warm. The friction to save your contact is minimal. The motivation is present. All you need is a great profile that makes it easy.

Where QR still wins

QR isn't useless — it's just the wrong tool for in-person networking. Where QR genuinely outperforms:

• Print media. On a poster, a brochure, or a slide deck, QR is the right choice. NFC doesn't work through paper.
• Large events with poor NFC range. In very crowded environments with a lot of wireless interference, QR is more reliable than NFC.
• Older Android devices. NFC requires Android 5.0+. On very old budget Androids, a QR code is more universally compatible.

Our recommendation: use Belcard's NFC chip for in-person networking, and share your profile URL digitally for everything else. The two aren't in competition — they serve different moments.

Implications for your Belcard setup

Given the data, a few things follow:

• Your first link should be your highest-intent conversion. If saving a contact is the goal, LinkedIn is usually right — it's the one click that leads to the most sustained relationship. Phone number is second.
• Keep your profile tight. With 2.3 links clicked per NFC visit, you don't need 20 links. You need the right 4–6. More links dilutes attention.
• Your bio matters more for NFC visits. Digital link visitors often skip the bio. NFC visitors read it — they're engaged and want context about who you are.

Methodology note

Events were collected anonymously. No personal data was used — only session-level hashes computed from a daily-salted combination of user agent and IP address. Geographic data was derived from Cloudflare IP headers and is accurate to city level. Sample size: 50,247 events across 340 active Belcard profiles, Nepal, January–March 2025.