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Usage Analytics

Product analytics that never learns who you are.

There is no dashboard to photograph: the product is a layer inside our apps. The live panel below is it, running on you right now.

Watch it measure this visit.

One panel is real: your own taps, scroll and time, counted on this device and shown live. The other is a simulated week in the product's shape.

USAGE ANALYTICS

DEVICE CLASS:

YOUR SESSION · LIVE · ON-DEVICE

TAPS0
SCROLL0%
TIME0:00
PAGES0

EVENT STREAM

  • Interact with the page and watch this fill.

NEVER COLLECTED

your name your email who you are

Nothing here leaves the device. Check the network tab.

A WEEK ACROSS A FLEET SIMULATED

MOST-VISITED SCREENS

Home100%
Menu74%
Cart41%
Checkout22%

WHERE SESSIONS DROP

Open100%
Browse63%
Cart38%
Pay21%

RAGE TAPS

Checkout · the pay button · 31 sessions this week

WEEKLY RETURN

W1
W2
W3
W4
  1. One half is you, right now: taps, scroll and seconds, counted on this device and never sent.
  2. The other half is what a product team sees across a fleet: the screens that matter and where sessions drop.
  3. It even hears frustration: 31 sessions rage-tapped the pay button this week.
  4. And whether they come back: four weeks of return, at a glance.

YOURS: REAL, ON-DEVICE, NEVER SENT. THE FLEET: SIMULATED NUMBERS IN THE PRODUCT'S SHAPE.

97KINDS OF EVENTS
0IDENTITIES, EVER
100%MEASURED ON THE DEVICE

The idea

Usage is tracked safely and processed in an organised way, so we understand what users want, where they struggle, and how to make the app better. It is the measurement layer any serious app needs.

What enters

The screens customers visit most, when they leave the app, when their engagement rises, and where they run into problems.

What is refused

No personal data is collected.

The result

A deep understanding of users, and real improvement to the app.

And only genuine devices are heard at all.

Have something like this in mind?

Book a technical consult

Prefer to write? Anytime: hello@rkn.qa