·Java House CBD18,420 txns/30d·Naivas Westlands34,102 txns/30d·Quickmart Ngong Rd21,897 txns/30d·Carrefour Karen29,450 txns/30d·Tuskys Thika Rd9,203 txns/30d·Nairobi Hospital Pharmacy15,671 txns/30d·Shell Uhuru Hwy11,340 txns/30d·Chicken Inn Tom Mboya8,990 txns/30d
·Java House CBD18,420 txns/30d·Naivas Westlands34,102 txns/30d·Quickmart Ngong Rd21,897 txns/30d·Carrefour Karen29,450 txns/30d·Tuskys Thika Rd9,203 txns/30d·Nairobi Hospital Pharmacy15,671 txns/30d·Shell Uhuru Hwy11,340 txns/30d·Chicken Inn Tom Mboya8,990 txns/30d
TranzRank
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Sectors:
How TranzRank works

Business discovery built on verified activity.

TranzRank ranks Kenyan businesses using consent-based transaction intelligence from payment processors, giving customers and operators a clearer signal of real market trust.

47+
Supported Counties
3
Processor Integrations
8
Fraud Signals
10+
Public Data Views
Why it exists

A cleaner signal than reviews and ads.

Traditional discovery often mixes genuine customer experience with subjective ratings, sponsored positions, and manipulated popularity metrics. TranzRank starts from a simpler question: where are people actually transacting?

Every ranking is generated from verified transaction count signals, then filtered through privacy and fraud controls before it appears in public views.

Core principle

No ratings. No opinions. Just verified activity.

Rankings reflect validated frequency and momentum, while protecting customer identity and business-sensitive payment details.

Platform foundations

Designed for trust, scale, and integrity.

The public experience, business dashboard, and ranking engine all share the same brand logic: precise, restrained, data-led, and privacy-first.

Transaction-verified rankings

Businesses are ranked from validated transaction activity, not reviews, ratings, paid placement, or popularity claims.

Privacy by design

TranzRank works with aggregated counts only. Customer names, phone numbers, card data, and transaction amounts are not displayed.

Fraud-resistant signals

The platform watches for unusual growth, reversal spikes, repeated payer patterns, and other artificial inflation signals.

Built for African commerce

The system is designed around payment rails such as M-Pesa, Kopokopo, Pesapal, and future regional integrations.

Data pipeline
01

Processor APIs

02

Secure ingestion

03

Fraud checks

04

Ranking engine

05

Leaderboard cache

06

Public discovery

Privacy commitment

Privacy is a system constraint, not a feature toggle.

TranzRank never stores or displays customer identities, phone numbers, card details, payment references, or transaction amounts in public rankings.