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CASE STUDY · 5 MIN READ

Case Study: How Sako Rescued 299 Top Senders from Silent Churn

Shiplog Team · 2026
Sako + Shiplog Case Study

Every month, someone in Paris opens an app and sends money home to Niamey. Rent for a parent. School fees for a younger brother. A little extra because it is Tabaski. That is who Sako is built for. Sako enables diaspora communities across Europe and North America to transfer funds directly to Mobile Money accounts in Africa, beginning with Niger and Chad. Its core promise is simple: send money as if you were back home. In a cross-border remittance product where people trust you with their hard-earned family support, trust is everything—and trust starts at one decisive moment: the very first transfer.

August: The 45% Early Churn Puzzle

In August, the Sako product team conducted a cohort analysis of July’s signups. The findings revealed a jarring trend: 45% of new signups never returned.

This was not the conventional churn pattern where users explore an app, lose interest over several weeks, and gradually drift away. The abandonment occurred almost instantly—before new users had even executed their first money transfer. People were registering, navigating deep into the setup flow, and vanishing right before the moment that mattered most.

Sako did not suffer from a lack of data. Every authentication attempt, screen transition, and session drop-off was meticulously captured in their telemetry stack. What they lacked was the dedicated capability to translate millions of raw event logs into actionable user-level interventions.

“We had the raw data but no one turning it into 'here's the user, here's the wall, here's the fix.’” — The Sako Team

To solve the mystery and halt the revenue leakage, Sako brought in Shiplog.

Looking User by User: Beyond Macro Dashboards

Traditional analytics dashboards provide aggregate metrics: conversion graphs, churn percentages, and funnel drop-off curves. However, high-level dashboards rarely explain who is encountering friction or the exact behavioral breakdown causing them to walk away.

Shiplog approached Sako’s telemetry differently. Instead of computing blended averages, Shiplog evaluated the event stream user by user, reconstructing individual customer journeys and tracing every path until friction occurred. In doing so, an unexpected and critical pattern emerged.

The Critical Discovery: 299 Top Senders Leaking Revenue Silently

The most acute problem wasn't merely first-time drop-offs. Shiplog’s user-level audit revealed that 299 of Sako’s top senders were hitting recurring login failures.

These were not casual visitors testing the app. They were Sako’s power users—loyal senders remitting money every month who formed the core of Sako’s recurring transactional revenue. When these top users encountered login errors, no internal alerts fired. No support tickets were created. No engineering alarms were triggered. Revenue was quietly walking out the door without anyone realizing it.

“The 299 at-risk top senders hitting login errors with no alerting on our side, revenue leaking from our best customers, fixable just by catching it in time.” — The Sako Team

The hardest part of solving churn is rarely writing the code for the fix—it is having the visibility to see exactly where and why high-value customers are getting stuck.

From Finding to Fixing in Days, Not Quarters

Most consulting and analytics audits conclude with a lengthy PDF presentation. A product manager reads it, schedules a sync, files backlog tickets, and the initiative languishes until the next planning cycle. Meanwhile, customer relationships continue to erode.

Shiplog operates on action, not just diagnosis. Alongside the detailed behavioral findings, Shiplog delivered complete, personalized outreach campaigns ready to send directly to every affected sender. There was no cross-team handoff, no drafting messages from scratch, and zero operational lag.

“It came with ready to send outreach, not just a diagnosis, so the gap between finding the problem and fixing it was days.” — The Sako Team

For a high-growth fintech where top-tier customer retention directly impacts unit economics, closing that gap in days rather than months preserved vital recurring volume.

How It Felt to Work Together: 5 out of 5

When evaluated on communication, velocity, and execution logistics, the Sako team awarded Shiplog a perfect 5 out of 5 rating.

Who This Is Built For

When asked whom they would recommend the Shiplog audit to, the Sako leadership highlighted a widespread industry challenge:

“Yes, to product/fintech teams with real event volume but no one dedicated to turning it into user level action.” — The Sako Team

Nearly every modern software company instruments event tracking. Very few have automated intelligence continuously turning that telemetry into a verified account name, an exact behavioral roadblock, and an immediate outreach workflow.

The Lesson: Visibility Over Raw Volume

Sako didn't have a data collection problem. They had a visibility and action problem. The solutions were already embedded in their event logs—299 of them.

The most expensive churn isn't the kind you can see coming. It's your best customers hitting a wall you don't know exists.

Shiplog automatically identifies the accounts you are at risk of losing, explains exactly why they are stalling, and equips your team with the precision outreach needed to protect your revenue.

See it on your own customer data.
Run Shiplog on a subset of your accounts and measure the impact on retention and expansion.
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