Performance Analytics · Payments and Remittances

How fintech apps compare on real user behavior.

AI-analyzed behavior from recorded user sessions, side-by-side across every app in the category. Drill into any app from the sidebar for the full breakdown.

Dataset state39 sessions2 of 10 apps live8 pending
01 · Top-line Metrics39 sessions

Behavior across the full flow

METRIC
CHIPPER CASH
PALMPAY
Active flow median
1:54middle 50%: 1:00 - 2:35
0:48middle 50%: 0:33 - 1:09
Median taps per session
26range: 18 - 45
20range: 15 - 24
Median screens
15distinct screens
8distinct screens
Friction events (total)
47across 21 sess.
20across 18 sess.
Idle time median
9sloading + waiting
11sloading + waiting
02 · Time on Step39 sessions

How long each step took across captured sessions

SIGNUP
Chipper Cash
14s median · from 19 sessions
PalmPay
6s median · from 8 sessions
KYC
Chipper Cash
53s median · from 8 sessions
PalmPay
28s median · from 4 sessions
FUNDING
Chipper Cash
100s median · from 9 sessions
PalmPay
29s median · from 5 sessions
TRANSFER
Chipper Cash
45s median · from 12 sessions
PalmPay
30s median · from 15 sessions
03 · Friction67 events across 39 sessions

Where friction concentrates by step

04 · Authentication and Confirmation39 sessions

Security mechanism prevalence across apps

PIN at open
PIN at txn
Biometric at txn
OTP / 2FA
Security messaging
Secondary confirm
Chipper Cash
40%
25%
5%
40%
80%
45%
PalmPay
17%
39%
39%
6%
61%
89%
05 · Auto-resolution39 sessions

Recipient name resolution speed across apps

Chipper Cash
2.7s
67% success · from 15 sessions
PalmPay
1.2s
94% success · from 15 sessions
06 · Auto-features39 sessions

Input assistance feature prevalence

Auto-advance
Autocomplete
Auto-format
Auto-resolve
Chipper Cash
86%
52%
62%
71%
PalmPay
61%
11%
72%
83%