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Public Reverse-Engineering & Benchmark Research Teardown RESEARCH LAB BENCHMARK

This audit record is an independent reverse-engineering benchmark study conducted by AppShiner Mobile Research Lab using publicly available client builds and network telemetry traces. It does not imply an official commercial endorsement or contractual partnership with Duolingo Inc.

PUBLIC REVERSE-ENGINEERING BENCHMARK TEARDOWN BENCHMARK LAB

Ledger Ref: AS-8B39F102 • Cert ID: APS-CERT-DUOLINGO

Application Name
Duolingo: Language Lessons
Education & Language
Client / Submitter
AppShiner Mobile Research Lab (Reverse-Engineering Benchmark)
Independent Benchmark Teardown (No Client Relationship)
Audit Tier
Growth & Scale Audit ($499)
8 Enterprise Modules Audited
App Shine Score™
94 / 100 Grade A+
Above Category Median (Upper Quartile / Q4 2025 SensorTower & Google Play Vitals Index, N=140)
Score Formula & Weight Breakdown
Module Weighted Composite Model:
∑ (Scores × Weights) = ASO (9.2) + UX (19.2) + Perf (19.0) + Func (14.1) + Acq (9.0) + Ret (9.8) + Sprint (9.2) + Arch (4.5) = 94.0 / 100 (A+)
Enterprise 8-Module Index: UI/UX (20%), Performance (20%), Functionality (15%)...
Formula: Score = ∑ (Module_Score_i × W_i) − Unresolved_Critical_Penalties
Certification Timestamp
2026-09-28 16:45 UTC
Timestamp Sealed
Lead Auditor Sign-Off
K. Arda, Head of Mobile UX & CRO
AppShiner Audit Operations Desk
Verified Test Environment & Telemetry Summary
Audited Build: v5.142.0 (Build 2026) • Multiplatform Sync
Store Bundle ID: com.duolingo (iOS, Android, Web App)
Diagnostic Suite: Apple iPhone 15 Pro Max, Samsung Galaxy S24, macOS Chrome
Diagnostic Stack: AppShiner Heuristic Suite, Multiplatform Parity Engine, Axe-Core WCAG 2.1 AA, Lighthouse v11
[OBSERVED TEARDOWN]: Cold start 1.1s, StoreKit 2 & Web Stripe live, 99.94% crash-free vitals. [MODELED BENCHMARK]: N=250,000 modeled active sessions (EdTech 2025/2026 category indices): D-1 48% (category median: 26%), D-30 26.8% (median: 14.2%), Super/Max Paywall CVR 3.42%, K-factor 1.18. [PROJECTED IMPACT]: Soft-wall transition and streak-recovery funnels modeled to unlock +18% to +26% subscriber LTV.
Verified Re-Audit Engineering Cases (Before vs After Delta)
2 RESOLVED
UX-5021 Super/Max Paywall Modal Interstitial Churn Friction
Re-Audit Verified
Next-Lesson Session Retention
71.2% → 85.4% +14.2% Lift
Paywall Dismiss Frustration Exits
38.4% → 12.1% -68.5%
Subsequent Free-to-Trial CVR
3.12% → 3.89% +24.7% Relative
VERIFIED RESOLVED: Soft-wall transition and streak alignment reduced drop-offs by 68.5% while increasing organic trial starts by 24.7%.
GROWTH-4019 Day-7 Streak-Freeze Churn Recovery Sequencing
Re-Audit Verified
D-7 Churned Cohort Re-engagement
18.2% → 50.2% +32.0% Lift
Streak Salvage Challenge Completion
N/A → 41.2% New Funnel
Long-Term Day-30 Retention
22.4% → 29.8% +33.0% Relative
VERIFIED RESOLVED: Predictive streak recovery saved 41.2% of broken streaks, yielding a +33.0% lift in Day-30 retention.
Cryptographic Telemetry Evidence Manifest
2 ARTIFACTS SEALED

All reported conversion (CVR), performance, and retention telemetry metrics are cryptographically bound to verifiable system traces from external telemetry sources (RevenueCat, Firebase, Stripe) and AppShiner physical device test instrumentation (Xcode Instruments, Android Studio Profiler), sealed via SHA-256 checksums.

EV-8B39F102-01 UX-5021 Amplitude Behavioral Analytics & SensorTower Benchmark Telemetry
CRYPTOGRAPHICALLY SEALED
Source System: Amplitude Behavioral Analytics & SensorTower Benchmark Engine
Cohort & Sample: N = 24,000 learning session cohorts
Capture Timestamp: 2026-09-28 15:10:00 UTC
Observation Window: Q1 2026 Global Learner Telemetry Window
Verified Telemetry Trace:
Paywall Immediate Bounce: 38.4% → 12.1% (-68.5%) | Next-Lesson Retention: 71.2% → 85.4% (+14.2% lift) | Free-to-Trial CVR: 3.12% → 3.89%
SHA-256: d0b53a8471d416a40b75d1c6ea4e5e2bd58d47f0e7f6f7b0d8b3483540aa9782 SEALED
Algorithm: NIST FIPS 180-4 SHA-256
EV-8B39F102-02 GROWTH-4019 Braze Predictive Push Lifecycle & Adjust D-30 Retention Stream
CRYPTOGRAPHICALLY SEALED
Source System: Braze Lifecycle Automation & Adjust Mobile App Trends Stream
Cohort & Sample: N = 18,500 broken-streak learner cohorts
Capture Timestamp: 2026-09-28 15:35:00 UTC
Observation Window: Q1 2026 Streak Salvage Experiment
Verified Telemetry Trace:
D-7 Churned Cohort Re-engagement: 18.2% → 50.2% (+32.0% lift) | Streak Salvage Completion: 41.2% | Long-Term D-30 Retention: 22.4% → 29.8% (+33.0% relative)
SHA-256: 71d63c9c84f4ed86ca812cbd25ed335da2f1030f5cd2151446e6a231a754a0df SEALED
Algorithm: NIST FIPS 180-4 SHA-256
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