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Consideration-Set Model/Dokaz
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Consideration-Set Model

Consideration-set models formalize the empirical fact that consumers do not evaluate every available brand but choose from a small subset they actively consider. Choice is decomposed into two stages: first a brand is screened into the consideration (or evoked) set, then it competes for selection only against the other considered brands. John Roberts and James Lattin's 1991 model gave this idea a rigorous, estimable form by treating consideration as the outcome of a benefit-cost calculus — a brand is added to the set when the expected incremental benefit of including it exceeds a cost of consideration. The conditional second stage is typically a logit over the considered brands, so the unconditional choice probability is a weighted sum over possible consideration sets. Modeling the first stage matters because ignoring it biases estimated brand effects and substitution patterns: a brand can lose because it is never considered, not because it loses head-to-head. The framework underlies modern thinking about awareness, screening, and the upper funnel in brand competition.

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Consideration-Set Models (Two-Stage Consider-Then-Choose)
Taksonomski zapis metode · regression-model / marketing
  • Roberts, J. H., & Lattin, J. M. (1991). Development and Testing of a Model of Consideration Set Composition. Journal of Marketing Research, 28(4), 429-440. · DOI 10.1177/002224379102800405
  • Guadagni, P. M., & Little, J. D. C. (1983). A Logit Model of Brand Choice Calibrated on Scanner Data. Marketing Science, 2(3), 203-238. · DOI 10.1287/mksc.2.3.203
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Same method familyBrand-Switching Markov Modelmachine-suggested · Relational suggestion, not evidence.Same method familyNested Logit Brand Choicemachine-suggested · Relational suggestion, not evidence.Same method familyScanner Panel Analysismachine-suggested · Relational suggestion, not evidence.

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2 zabilježenih citata, kopiranih iz izvornog zapisa metode.

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