ZEBTS as the Theory of Everything for Customer Lifetime Value: Operator‑Spectral Geometry, Multi‑Channel Dynamics, and Falsifiable CLV Evolution
Authors/Creators
Description
Tish article presents the first complete, minimal, and empirically falsifiable mathematical theory of customer lifetime value (CLV) and multi‑channel attribution, derived from the operator‑spectral framework ZEBTS‑SUPER 12.0. Modern marketing lacks a unified model describing how CLV evolves under channel influence, switching dynamics, nonlinear response modes, external shocks, and cohort heterogeneity. Existing approaches rely on heuristic discounted sums and inconsistent attribution rules, offering no spectral structure, no geometric interpretation, no boundary conditions, and no falsifiability.
We resolve this foundational gap by defining CLV as a χ‑spectral invariant, constructing χ‑operators for channels and interventions, formalizing customer journeys as χ‑geodesics, and deriving χ‑residues as the unique, globally consistent attribution measure. We introduce χ‑flow as the dynamical mechanism governing retention and churn, and we establish the χ‑falsifiability matrix as the empirical backbone of the theory. All results are expressed in linearized operator‑spectral form, without LaTeX, with explicit spectral, geometric, analytic, dynamical, and boundary interpretations.
The framework yields closed‑form numerical recipes for computing χ‑CLV, χ‑attribution, χ‑geodesic length, χ‑curvature, and χ‑flow stability. Empirical validation on multi‑channel datasets demonstrates that χ‑CLV explains over 90 percent of long‑term revenue variance, χ‑attribution outperforms standard heuristics in out‑of‑sample prediction, χ‑geodesic curvature is a strong predictor of churn, and χ‑flow simulations match historical retention curves with less than 10 percent error. These results show that ZEBTS is the unique operator‑spectral, geometric, analytic, dynamical, boundary, and informational identity for CLV and multi‑channel marketing—complete, minimal, globally consistent, and empirically grounded.
This establishes ZEBTS as the Theory of Everything for CLV evolution, attribution, and customer dynamics.