# Parameter Calibration

To optimize the long-term performance of the $TAKE token economy, key design parameters are subject to iterative testing, calibration, and governance-led adjustment. The objective is to identify configurations that **maximize sustainable GMV growth** while maintaining balance between supply-side emissions and demand-side absorption.

Three primary parameter classes are subject to calibration:

#### **1. Treasury Accumulation Allocation Ratio (θ)**

The proportion of platform fee revenue allocated to treasury accumulation.\
Higher values of θ increase market demand for $TAKE but reduce operational reserves.\
Calibration Goal: Identify the optimal θ that maximizes token price support without impairing platform operations.

#### **2. Reward Pool Allocation Ratios (α, β, γ)**

The distribution of the total emission pool across Buyers (α), Sellers (β), and Evangelists (γ), where: α + β + γ = 1.\
\
These ratios determine the strategic emphasis of reward incentives.\
For example:

* Higher α may increase buyer retention and conversion
* Higher β may strengthen liquidity and listing velocity
* Higher γ may enhance network expansion and user acquisition

Calibration Goal: Dynamically allocate emissions to the stakeholder groups that generate the highest marginal GMV per reward unit.

#### **3. Activity Types and Weights (Aᵢ structure)**

Each agent’s activity score (Aᵢ) is a weighted sum of verifiable actions.\
The platform continuously evaluates which behaviors most strongly correlate with GMV growth.

Examples:

* Buyer: browsing, purchasing, reviewing
* Seller: listing, completing trades, receiving positive feedback
* Ambassador: referring users, generating content, social engagement

Calibration Goal: Prioritize and reweight actions that empirically drive high-value transactions, while demoting low-signal or easily gamed behaviors.

#### **Experimental Feedback Loop**

Calibrations are conducted using live platform data, A/B testing, cohort analysis, and simulation environments. Performance metrics include:

* GMV growth
* Treasury accumulation coverage ratio
* Retention and referral rates
* Token price stability

Through this feedback-driven approach, the protocol ensures that its incentive structures remain aligned with ecosystem health, economic sustainability, and long-term token value.
