Decision Support System · Tier 3 — Simulated

CEO Business Intervention Simulator

Select a customer persona, choose a behavioral intervention, set a relative lift, and observe what-if scenario impacts on purchases, conversion, and simulated purchase value. All calculations are deterministic expected-value simulations from historical Markov transition probabilities — not causal forecasts.

T3

Tier 3 — Hypothetical Scenario Simulation Engine

Interactive What-If analysis evaluating behavioral interventions over historical Markov transition baselines.

Tier 1: ObservedTier 2: InferredTier 3: Simulated
Step 1 · Target Scope

Select Target Customer Persona

Step 2 · Intervention

Select Business Intervention

Step 3 · Relative Lift

Set Intervention Relative Lift

+10%
0% (Baseline)10% (Default)25% (Max)
Deterministic Redistribution Rule:

Target probability transition mass delta is proportionally subtracted from non-target transitions so that row probability sum strictly conserves ∑ P = 1.0.

Simulation OutputTarget: All Customers

Simulated Scenario Business Impact

Simulated Purchase Value Impact
+$9.57M
MetricHistorical BaselineSimulated ScenarioAbsolute DeltaRelative Lift
Cart Sessions2,845,9812,845,981+0+0.0%
Completed Purchases1,158,2841,256,738+98,454+8.5%
Cart Removals1,436,6121,436,61200.0%
Session Conversion Rate4.16%4.52%+0.36 pp+8.6%
Purchase Value Proxy$112.60M$122.17M+$9.57M+8.5%

5x5 Markov State Transition Probability Matrix (all_customers)

Derived EXIT state absorbing boundary
From State→ VIEW→ CART→ REMOVE→ PURCHASE→ EXITRow Sum
VIEW0.62100.18420.00000.00000.19481.0000
CART0.19200.19250.20870.33990.06691.0000
REMOVE0.35400.10200.04800.04600.45001.0000
PURCHASE0.00000.00000.00001.00000.00001.0000
EXIT0.00000.00000.00000.00001.00001.0000
Non-Causal Simulation Disclaimer: Scenario simulations produced by this platform represent what-if calculations based on historical behavioral transition probabilities. They are not causal forecasts, machine-learning predictions, or guaranteed business revenue guarantees.