Client Evidence & Case Notes

In-Depth Case Evidence

Case 1: Resolving a D7 Retention Cliff in a Mobile Financial App

• Client Profile: Consumer mobile banking and wallet application (180,000 MAU)
• Engagement: Flagship Cohort Retention Audit (3 Weeks)
• Initial Scenario: The engineering team noticed that despite strong user acquisition, over 58% of new installs ceased opening the app by Day 7. Internal dashboards suggested that users were simply losing interest.
• Audit Findings: Our telemetry inspection revealed a critical discrepancy between iOS and Android clients:
  • On Android, biometric security setup was failing silently in 22% of devices due to an unhandled hardware capability callback, forcing users to repeatedly type manual passwords.
  • Behavioral cohort segmentation showed that users who completed at least two peer-to-peer transfers within their first 72 hours exhibited an 81% Day-30 retention rate, compared to just 14% for users who only viewed balances.
• Outcome: The product team patched the biometric callback defect and redesigned the post-registration screen to prompt a micro-transfer within 24 hours of account approval, stabilizing their D30 retention baseline.

Case 2: Telemetry Hygiene & Schema Standardization for an EdTech Platform

• Client Profile: Language learning mobile and web platform (420,000 MAU)
• Engagement: Telemetry Instrumentation Review (2 Weeks)
• Initial Scenario: Multiple frontend teams had deployed separate tracking updates over an 18-month period, resulting in over 340 distinct event names with conflicting property formats.
• Audit Findings: Our team cataloged 47 redundant event definitions, 19 broken JSON payload properties, and inconsistent session timeout calculations between the web application and mobile clients.
• Outcome: We delivered a consolidated 65-event tracking dictionary, complete with TypeScript interfaces and payload validation rules, giving the analytics team reliable cohort data across all platforms.

Detailed Practitioner Feedback

"Identity Canvas Core audited our event logging pipeline following a complex mobile redesign. They detected that 18% of onboarding completion events were failing silently on Android due to an unhandled null parameter in the signup payload. Beyond fixing the schema, their team reconstructed our true D1-D30 cohort curves and identified our core activation threshold."

Somchai Prasert

Head of Product, Southeast Asia Fintech Application

"The 3-week cohort audit provided clear clarity on why our edtech learning app was experiencing a sharp D14 churn wall. While we initially had to push back on one of their recommended notification cadence reductions because our marketing calendar was locked, their analytical findings regarding lesson completion pacing were spot-on."

Marcus Vance

VP of Growth & Retention, Interactive Learning Platform

"Their telemetry audit caught several payload discrepancies that had survived three major app store releases. The resulting data dictionary made it straightforward for our mobile engineering squad to implement consistent tracking. Scheduling coordination across time zones took a little adjustment during week two, but the quality of their schema documentation was outstanding."

Claire Beauchamp

Lead Data Architect, SaaS Workflow App

"Having an independent advisory team look directly at our BigQuery raw logs stripped away all the internal bias we had about our onboarding flow. They proved with hard survival curves that our 4-step setup wizard was causing a 35% drop-off before users even saw the workspace."

Anan Chokchaitip

Co-Founder & Technical Lead, Logistics Management App