Prospect theory and the conversion decision
Kahneman and Tversky's prospect theory describes how individuals evaluate gains and losses asymmetrically relative to a reference point. In conversion modeling, this asymmetry shows up as a strong preference for confirmation signals over disconfirmation signals — a prospect who has already partially committed to a decision is materially more likely to convert than a prospect with the same surface behavior who has not yet committed. The platform's behavioral features explicitly encode this asymmetry.
Anchoring and consideration windows
Most categories have a category-specific consideration window during which decisions are actively made. A consumer evaluating life insurance is in a 14–30 day window; a high-net-worth household evaluating a luxury home purchase is in a 60–90 day window; a B2B SaaS buyer with a contract renewal is in a 30–90 day window. Outside the window, the same behavioral signal has substantially less conversion value. Anchoring describes a prospect's tendency to fix on an initial reference point — price, brand, decision criterion — early in the window. Late-window anchors are extremely durable; early-window anchors are still movable.
Decision fatigue and the cost of late contact
Decision fatigue compresses outcomes toward defaults as the decision window proceeds. This is why contact timing matters: a prospect contacted on day three of a window converts differently than the same prospect contacted on day twenty-eight. The platform's velocity scoring encodes this; recommended contact timing differs by industry.
Loss aversion and risk-coded categories
Insurance, healthcare, and financial services are risk-coded categories — the consumer is making a decision under uncertainty about a future bad outcome. Loss aversion implies that messaging anchored on what is lost by not deciding outperforms messaging anchored on what is gained by deciding. This is not a marketing copy point; it is a feature in the propensity model.
Signal half-life — production model
Predictive cohort vs. cold list
Citations
- · Kahneman, D., & Tversky, A. — Prospect theory: An analysis of decision under risk. Econometrica, 1979.
- · Thaler, R. — Toward a positive theory of consumer choice. JEBO, 1980.
- · Iyengar, S., & Lepper, M. — When choice is demotivating. JPSP, 2000.
- · Tversky, A., & Kahneman, D. — Judgment under uncertainty: Heuristics and biases. Science, 1974.