Dynamic Incentive Optimization Engine

Converts user behavior into optimized incentive decisions with measurable ROI

📊 Input Signals

Intent Score: 70%

LTV Score: 65%

Last Deposit: ₹2,000

Session Trend: Increasing

Bonus Response History: Positive

Base Conversion Probability

60%

🧠 Decision Logic

User has moderate intent but hesitation signals. Small incentive can increase conversion probability significantly.

Conversion Uplift

60% → 85% (+25%)

🎁 Selected Incentive

₹200 Bonus

Why NOT higher?

Higher incentives do not significantly increase conversion beyond 85%, leading to unnecessary cost.

💰 Revenue & ROI

Deal Value: ₹5,000

Conversion (Before): 60%

Conversion (After): 85%

Expected Revenue

Before: ₹3,000

After: ₹4,250

Cost vs Gain

Incentive Cost: ₹200

Net Gain: ₹1,050

How Decision is Made

Intent

+30

LTV

+25

Behavior

+15

History

+10

📈 Incentive Comparison (Decision Basis)

No Incentive

Baseline

Conversion: 60%

Expected Revenue: ₹3,000

Cost: ₹0

Profit: ₹3,000

₹200 Incentive

Selected

Conversion: 85%

Expected Revenue: ₹4,250

Cost: ₹200

Profit: ₹4,050

₹500 Incentive

Overkill

Conversion: 90%

Expected Revenue: ₹4,500

Cost: ₹500

Profit: ₹4,000

🤖 Decision Explanation (Clear)

The system evaluates multiple incentive levels and compares profit outcomes. While ₹500 slightly increases conversion, the additional cost reduces net profit. ₹200 provides the best balance between conversion uplift and cost efficiency, resulting in the highest net gain.

🎯 Key Insight

Increasing incentives beyond ₹200 leads to diminishing returns. Optimal decision = maximum profit, not maximum conversion.