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Regional parameters ​

Regional fields are optional extensions and are not part of the stable baseline mechanism.

Neutral reference fields ​

reference_internet_reach_rate, reference_target_audience_density, and reference_income_inequality_gini define the point at which regional context makes no relative change for that component. A reference is a modeling anchor, not automatically a worldwide average.

internet_reach_rate ​

The fraction of a population that uses the internet. It is an upper-level accessibility measure; it does not mean the same fraction uses an advertising platform or saw a campaign.

target_audience_density ​

The assumed fraction of internet users eligible for the campaign's targeting. Without platform audience measurements, this is a scenario assumption and should receive low confidence.

economic_willingness_multiplier ​

A positive proxy for broad willingness or ability to purchase relative to a reference. The behavior provider converts it into an additive log-odds adjustment. A national economic indicator should never be described as directly measured consumer intent.

income_inequality_gini ​

A value from zero to one summarizing how unequally income is distributed. In this simulator it changes conversion-noise spread, not mean demand. This is a simplified modeling choice, not an established law connecting inequality to advertising response.

Sensitivity weights ​

economic_willingness_log_odds_weight controls how strongly the willingness proxy shifts conversion log odds. income_inequality_noise_weight controls how strongly the Gini difference changes noise spread. A zero weight disables its corresponding adjustment.

Evidence record ​

Every private real-region value should record:

  • source organization and indicator name;
  • observation year and retrieval date;
  • original unit and transformation;
  • missing-data or interpolation method;
  • why the indicator is relevant to the simulated decision;
  • confidence and sensitivity range.

Official national statistics may be high-confidence measurements of their own indicator while their mapping to campaign behavior remains low-confidence. Record those two confidence judgments separately.

Public algorithms; caller-owned private data.