Resvanta Decision Studio

RAIL CORE
Autonomous Econometric & Pricing Intelligence
8/8 Online
⚑

Autonomous Policy Recommendation & Verdict

Evaluating optimal multi-lever pricing policy against empirical retention curves and market elasticity...

SHA-256:7f9a8b2c4e1d...
36-Month Net Revenue Lift
+$142,500
Accounted for implementation costs & elasticity
Market Share Shift
+4.2%
Net competitive expansion over 36 months
RMST Lifespan Lift
+3.8 mo
Restricted Mean Survival Time delta per account
Investment Efficiency
4.07x ROI
Capital payback multiple on implementation

Interactive Policy Levers

Empirical Counterfactual Simulator
Strategy Presets:
Active: Value Bundle
Price Adjustment (ΔP) +$15
SLA & Technical Support Quality 80%
Product & Feature Capability 70%
Capital Implementation Cost $35,000
Price Elasticity & Revenue Curve • Blue dot = Base Price ($60)
βš–οΈ Side-by-Side Scenario Stacking & Policy Matrix 3 Scenarios
Scenario Strategy Levers (ΔP / SLA) 36-Mo Net Lift (Δ Base) Share Shift Lifespan ROI Action
Simulating comparative policy strategies...
Policy Lever Sensitivity Tornado
Model Goodness of Fit
0.241
McFadden Pseudo-R² (Excellent fit > 0.20)
Conjoint Tasks Evaluated
120
Multi-attribute alternative choice tasks

Feature Willingness-To-Pay (WTP in $)

Competitive Market Share Simulator

Product Tier Logit Share First Choice Utility
Loading choice simulator...
Autonomous Optimal Pricing Frontier (ΔP Multi-Point Sweep) Volume Expansion

Autonomous multi-point demand elasticity sweep calculating 36-month Net Lift across price deltas and identifying the profit-maximizing inflection point.

Optimal Price Recommendation
+$0.00 ($60.00)
Max 36-Mo Net Revenue Lift
+$0.00
Safe Profitable Range
$0.00 to $0.00
Simulating optimal pricing frontier...
Average Treatment Effect (ATT)
+13.9 mo
Pure causal tenure lift (1:1 NN Caliper Match)
Matched Pairs
2,044
Propensity-matched accounts within ±0.25 SD
Statistical Significance
< 0.001
p-value (Null hypothesis rejected)

Covariate Balance Diagnostics (SMD Pre vs Post Matching)

Red dots = Pre-match bias. Green dots = Post-match balance. All green dots must fall to the left of the 0.10 SMD threshold line.

4-Quadrant Customer Uplift Matrix & Action Center

HETEROGENEOUS TREATMENT EFFECTS

Prescriptively partitions customer cohort into causal behavioral quadrants to maximize campaign ROI and eliminate wasted marketing budget.

Quadrant I πŸ”₯ PRIORITY TARGET

Persuadables

2,527 (35.9%)
+17.8% Net Retention Lift • 4.2x ROI

High churn risk without intervention, but responds favorably to technical support SLA and value bundle. Concentrates maximum ROI per outreach dollar.

Quadrant II πŸ›‘οΈ PROTECT MARGIN

Sure Things

1,663 (23.6%)
88.4% Baseline Retention • $42.5k Preserved

High-propensity retainers who will renew regardless of outreach. Giving discounts or concessions needlessly cannibalizes gross margin.

Quadrant III ⚠️ CONSERVE SPEND

Lost Causes

1,807 (25.7%)
89.1% Inherent Churn • $33.2k CAC Saved

Accounts experiencing structural departure (bankruptcy, M&A, non-fit). Retention outreach and concessions fail to move the needle.

Quadrant IV πŸ›‘ DO NOT CONTACT

Sleeping Dogs

1,046 (14.8%)
-15.4% Negative Lift • 162 Saved by Silence

Dormant accounts where outreach awakens awareness of idle subscriptions, triggering immediate cancellations. Strict suppression required.

Targeting Efficiency by Decile (Incremental Causal Lift) • Green = Target Deciles 1–3 • Red = Suppressed Sleeping Dogs

Prescriptive Policy Allocation

Concentrate sales and retention campaigns strictly on Deciles 1–3 (35.9% of cohort). Suppress Deciles 9–10 (14.8% of cohort) to prevent waking Sleeping Dogs. Achieves 60.7% of total potential lift while cutting campaign spend by 62.5%.
Optimal Target Window: Deciles 1–3 (Top 30%)
Lift Capture Efficiency: 60.7%
Marketing Spend Reduction: 62.5% CAC Savings
Ledger Cryptographic Seal: 15ee47f9...
Overall RMST Lifespan
32.4 mo
Restricted Mean Survival Time across cohort
TechSupport RMST Delta
+14.2 mo
Lifespan difference between stratified groups
Cox PH Harrell's C-Index
0.812
Concordance index (High predictive accuracy)

Kaplan-Meier Survival Curves with Log-Rank Test

Cox Proportional Hazards Risk Table

Feature Hazard Ratio Impact p-value
Loading survival models...
Data Cleanliness Rate
98.4%
Verified authentic respondents (PRISM Quality Sentry)
Speeders & Bots Scrubbed
8
Removed for completion time ≤ 40% median
Variance Explained (R²)
0.482
Johnson's Relative Weights driver decomposition
Johnson's Relative Weights Decomposition • % Relative Importance

Ranked Key Drivers of Customer Satisfaction (KDA)

Rank Experience Driver Relative Weight (%)
Loading PRISM driver decomposition...
Market Structural Status
Shift Detected
PELT Multiple Change-Point Segmentation
CUSUM Brownian Bridge Statistic
3.412
Reject null hypothesis of constant trend (p < 0.01)
Regime Breaks Identified
1
Segment partition boundaries with BIC penalty
PELT Structural Break Timeline & CUSUM Trajectory • Red dashed markers = Detected Structural Breaks • Colored bars = Segment Means

Segmented Regimes & Mean Transitions

Regime Range Mean Value Volatility (Std)
Loading regimes...
Distribution Fidelity Score
94.8%
Gaussian Copula multivariate preservation
NNDR Memorization Defense
0.842
Nearest Neighbor Distance Ratio (> 0.40 is safe)
Row Collision Rate
0.0%
Zero exact row memorization detected
Multivariate Marginal Fidelity (Real vs Synthetic) • KS Distance Preserved

Gaussian Copula Vault Generator

Synthesize differential mathematical twins. NNDR score > 0.40 guarantees that no original enterprise customer record can be re-identified.

Synthetic Cohort Volume 300 records

Synthetic Records Generated (Preview)

Generating synthetic data preview...
Simpson's Paradox Sentry
Protected
Zero aggregate trend reversal inversions detected
Target Leakage Guard
Zero Violations
No tautological future-snooping features
Population Stability (PSI)
0.024
Covariate distribution stable (PSI < 0.10 threshold)
Scientific Signal Battery
11 / 11 Pass
White-noise & false discovery rate filtered

Simpson's Paradox Subgroup Audit

Verifies that positive macro trends are not secretly driven by composition bias across lurking confounders.

Audit Check Confounder Candidate Subgroup Slope Verdict
Auditing subgroup stratification...

Target Leakage & Causal Precedence

Audits feature-target correlation and temporal ordering to eliminate un-deployable data artifacts.

Feature Correlation Severity Status
Auditing target leakage...

Cryptographic Decision Audit Ledger

πŸ“¦ Download Briefing Bundle (ZIP)
Loading sealed dossiers...