# Marketing Science Center

> A multilingual Research & Evidence laboratory for scientific, quantitative and methodological marketing.

Marketing Science Center explains and tests methods used to measure marketing effects,
model uncertainty and support better-informed decisions. Its examples and datasets are
new, synthetic and designed for reproducible learning.

Each dossier has reciprocal FR, EN, IT, ES and DE alternates. The visible page declares
its statistical target or deliverable, required variables, equation or protocol,
uncertainty checks, supported decision, unsupported decision and scientific sources.

## Canonical editions

- [French edition](https://www.marketing-science-center.com/)
- [English edition](https://www.marketing-science-center.com/en)
- [Italian edition](https://www.marketing-science-center.com/it)
- [Spanish edition](https://www.marketing-science-center.com/es)
- [German edition](https://www.marketing-science-center.com/de)

## Scientific territories

- [Marketing Measurement](https://www.marketing-science-center.com/territoires/mesure-causalite): MMM, incrementality, attribution, experimentation and causality.
- [Pricing Science](https://www.marketing-science-center.com/territoires/science-prix): elasticity, willingness to pay, conjoint analysis and demand.
- [Customer Science](https://www.marketing-science-center.com/territoires/science-client-choix): customer lifetime value, churn, segmentation and cohorts.
- [Market Research](https://www.marketing-science-center.com/territoires/science-mesure): sampling, questionnaires, measurement scales, bias and statistical tests.
- [Marketing Models](https://www.marketing-science-center.com/territoires/modeles-reponse-marketing): diffusion, response, saturation, carry-over and demand functions.
- [Decision Science](https://www.marketing-science-center.com/territoires/methodes-statistiques-decision): scenarios, probability, Monte Carlo, sensitivity and Bayesian reasoning.

## Public resources

- [Method library](https://www.marketing-science-center.com/#methodes): 40 classified contents in five languages: 34 verified scientific dossiers, 0 method notes in validation and 6 scientific territories.
- [Reproducible calculators](https://www.marketing-science-center.com/outils): five transparent public calculators with explicit interpretation boundaries.
- [Documented datasets](https://www.marketing-science-center.com/datasets): seven synthetic datasets with a dedicated, multilingual access page.
- [Dataset documentation in French](https://www.marketing-science-center.com/datasets/README.md)
- [Dataset documentation in English](https://www.marketing-science-center.com/datasets/README-EN.md)
- [Dataset documentation in Italian](https://www.marketing-science-center.com/datasets/README-IT.md)
- [Dataset documentation in Spanish](https://www.marketing-science-center.com/datasets/README-ES.md)
- [Dataset documentation in German](https://www.marketing-science-center.com/datasets/README-DE.md)

## Verified methods and comparisons

- [Correlation vs causality](https://www.marketing-science-center.com/comparaisons/correlation-vs-causalite)
- [Significance vs effect size](https://www.marketing-science-center.com/comparaisons/significativite-vs-taille-effet)
- [Alpha vs omega](https://www.marketing-science-center.com/comparaisons/alpha-vs-omega-fiabilite-echelle)
- [PCA vs EFA vs CFA](https://www.marketing-science-center.com/comparaisons/acp-afe-afc)
- [Predictive vs causal regression](https://www.marketing-science-center.com/comparaisons/regression-predictive-vs-causale)
- [Price endogeneity](https://www.marketing-science-center.com/methodes/traiter-endogeneite-prix)
- [Fixed vs random effects](https://www.marketing-science-center.com/comparaisons/effets-fixes-vs-aleatoires)
- [Logit vs probit](https://www.marketing-science-center.com/comparaisons/logit-vs-probit)
- [TAM vs UTAUT and UTAUT2](https://www.marketing-science-center.com/comparaisons/tam-vs-utaut-utaut2-acceptation-technologie)
- [Retention survival analysis](https://www.marketing-science-center.com/methodes/analyser-retention-survie)
- [Design an A/B test](https://www.marketing-science-center.com/methodes/concevoir-ab-test)
- [Measure campaign incrementality](https://www.marketing-science-center.com/methodes/mesurer-incrementalite-campagne)
- [Estimate price elasticity](https://www.marketing-science-center.com/methodes/estimer-elasticite-prix)
- [Simulate price, volume and margin](https://www.marketing-science-center.com/methodes/simuler-prix-volume-marge)
- [Monte Carlo simulation](https://www.marketing-science-center.com/methodes/simulation-monte-carlo)

## Optional

- [Licenses and rights](https://www.marketing-science-center.com/en/licenses): Original knowledge content: CC BY 4.0; Original open datasets: CC0 1.0; explicitly published code examples: MIT; brand system and visual identity: all rights reserved; third-party material: its own rights.