Direct Client Evidence
Client Evidence & Audit Outcomes
Detailed accounts from product directors, lead data engineers, and mobile technical leads on how our telemetry audits and retention models clarified their core product dynamics.
"Core Vertex Point discovered that 38% of our recorded 'Day 1 active sessions' were actually silent background location pings being mislabeled by our mobile SDK. Rebuilding our retention query around confirmed recipe completions revealed our actual baseline and prevented us from spending marketing budget on dead acquisition channels."
Preeya Ratanaporn
Head of Product Analytics
Culinary Lifestyle Mobile App (iOS / Android)
"We engaged the firm for a 3-week telemetry audit prior to our Series A milestone. Their diagnostic uncovered duplicate event calls on Android payment confirmation views that had been skewing our 30-day repeat usage metrics upwards. The resulting clean dataset took effort to re-align internally across our executive board, but gave our engineering team undisputed, defensible numbers."
Marcus Lindqvist
VP of Engineering
Fintech Wallet Application (Stockholm / Bangkok)
"Our core problem was that our React Native tracking module dropped network payloads whenever users force-closed the app within five seconds of finishing an audio workout. Somchai and his analysts proved the event drop rate using Charles Proxy logs and supplied the exact queue-flushing patch for our next sprint."
Sarah Jenkins
Director of Mobile Experience
Audio Fitness & Guided Training App
"We had spent six months debating whether our Day 7 retention curve was flattening or in terminal decay. Elena walked our data engineering group through a mathematically disciplined cohort segmentation that isolated our recent onboarding redesign from legacy app users. We immediately saw the retention curve bend positively for the updated cohort."
Kittisak Wongsuwan
Lead Product Manager
Urban Commute & Mobility App (Bangkok)
Extended Engagement Case Studies
Case Study: Telemetry Decontamination
E-Commerce Marketplace: Eliminating 42% Phantom Activity in Android Onboarding
The Client Context & Challenge
A high-volume Southeast Asian shopping application tracking 1.2M monthly active users observed an inexplicable divergence: while Google Analytics reported steady 28% D30 retention, repeat purchasing cohorts showed severe revenue shrinkage. Internal teams were gridlocked over which metric was truthful.
The Audit Findings & Technical Correction
Our forensic code inspection revealed that the Android client build was dispatching an `app_session_start` telemetry event whenever an FCM background push payload was received, even if the user never tapped or viewed the device screen. We decoupled background wakeups from user-initiated sessions and re-anchored cohort tracking to catalog view duration.
Outcome: The sanitized cohort model revealed true D30 retention at 16.4%, providing the growth and product team with an accurate baseline that allowed them to successfully redesign checkout activation without false analytics signals.
Case Study: Critical Event Calibration
B2B Workflow Tool: Unrolling D1–D60 Curves for Contract Renewal Forecasting
The Client Context & Challenge
An enterprise field-inspection app used across construction sites needed reliable early-lifecycle retention predictors to anticipate annual license churn six months before renewal dates.
The Audit Findings & Technical Correction
We calibrated their critical event taxonomy from generic `document_open` to `inspection_report_synced`. Using survival curve analysis across 18 monthly cohorts, we proved that teams logging fewer than three synced reports in their first 14 days had an 88% probability of non-renewal.
Outcome: The customer success organization transitioned from broad quarterly check-in calls to automated intervention triggers fired on Day 10 for at-risk cohorts, lowering year-end churn by a measurable margin.