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With the XLSTAT-Marketing soultion you get a comprehensive software tool for analysing risks and for the planning. With this XLSTAT-solution you get access to statistical tools for the analyse and simulation of models. Use Monte-Carlo and Latin Hypercubes for superior simulations. The software also comes with PLS pathmodelling, preference mapping, conjoint analysis, sales basket analysis, penalty analysis and more.

XLSTAT-BASIC is included in this solution!


XLSTAT is a data analysis system and statistical software for Microsoft Excel. XLSTAT extends Excel to an efficient and easily accessible statistics tool that covers most of the functions needed for the analysis and modeling of data. The software automatically integrates itself into your MS Excel user interface and is always addressable from there. In more than 100 countries, beyond 25.000 engineers, statisticians, consultants and scientists are already using XLSTAT and confirm the quality of the safe, efficient, easy-to-use and at the same time most reasonably priced software.

XLSTAT make use of Excel's functionality in respect to data collection and presentation of results. However, all calculations are carried out in autonomous programs. The disposal of Excel as an interface makes the product very easy to use and effective. The quality of the calculations themselves is equivalent to that of the leading scientific packages. XLSTAT comprises the complete statistics and provides routines for dose-response curves as well as for mulitvariate statistics or PLS.

User Interface of XLSTAT-Marketing

User Interface of XLSTAT-Marketing

XLSTAT-Marketing - Overview

XLSTAT's Productline was completely overhauled! More information in our News-Section, click here.

XLSTAT-Marketing contains high-quality simultions for risk analysis and market research. XLSTAT-Marketing is an excellent solution for quantitive marketers. The software provides two simulation models: Monte-Carlo and Latin Hypercubes. Furthermore advanced statistical methods like market basket analysis, conjoint analysis, PLS pathmodeling, preference mapping, Penalty analysis and many more are available. Sensory data analysis tools are also included in this cutting-edge statistical solution for marketing professionals.

Spider Plot in XLSTAT
Tornado Plot in XLSTAT
Drop down menu for simulations in XLSTAT

Spider Plot

Tornado Plot

Drop down menu for simulations in XLSTAT


Model of a PLS Method


Options in the dialogbox for PLSPM

Preference mapping: contour plot and preference map
Dialogbox for preference mapping in XLSTAT
Preference map

Preference mapping: contour plot and preference map

Dialog box for preference mapping in XLSTAT

Preference map in XLSTAT

Output-options for preference mapping
Mean Drops in XLSTAT
JAR level chart

Output dialog box for the preference mapping

Mean Drops in XLSTAT

JAR level chart

Dialog box for TURF analysis
options in the dialog box for the TURF analysis
Two-Way table of TURF analysis

Dialog box for TURF analysis in XLSTAT

Options in the dialog box for TURF analysis

Two-Way table of TURF analysis

User's of prior versions of XLSTAT will find the following old modules in XLSTAT-Marketing:

  • XLSTAT-Pro
    Software for statistical functions and data analysis in MS excel.
  • XLSTAT-Pivot: a must have complement for XLSTAT users who need to quickly create pivot tables while discovering important trends and factors impacting their business.
  • XLSTAT-PLS: for Partial Least Squares Regression and PCR regression.
  • XLSTAT-MX: for Preference mapping, GPA, penalty analysis.
  • XLSTAT-PLSPM: for PLS Path modeling.
  • XLSTAT-Sim: for Monte Carlo simulations and risk analysis.

XLSTAT grows with you - optional Modules

Software needs to fit to the user - not backwards! This is why XLSTAT's functions can be extended by optional modules. These modules are for very specific applications. The optional modules of XLSTAT can be bought seperately and are not contained in any of the solutions! The optional modules will fit into your excel interface as usual and can be addressed from there anytime. Let XLSTAT adapt to your requirements!

Optional Modules



XLSTAT-3DPlot is an excellent extension for the data visualisation with XLSTAT! More Details

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XLSTAT-CCR supports regression analysis with many correlated predictors. More Details

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XLSTAT-LC is a powerful tool for Latent Class Regression models and Latent Class Cluster models. More Details

Go to Article

Further Information

Systemrequirements for the software XLSTAT

  Windows® Mac
Further Requirements Microsoft Excel 2003, 2007, 2010, 2013, 2016 Microsoft Excel 2011
Operating System Windows XP, Vista, 7, 8, 10 (32-/64-Bit) OS X
Minimum CPU 800 MHz 800 MHz
Min. RAM 128 MB 128 MB
Disk Space 150 MB 150 MB

Features in XLSTAT-Marketing

  • Monte Carlo
  • Latin hypercubes
  • Preference Mapping
  • Internal preference mapping
  • Panel Analysis
  • Product Characterization
  • CATA data analysis
  • Sensorial Durability Analysis
    the sensorial durability analysis is used to the ideal period for the consumption of any product to be determined.
  • Generalized Bradley-Terry model
  • Penalty analysis
  • Procrustes analysis
  • Multiple Factor Analysis (MFA)
  • Semantic Differential Chart
    this method is used to analyze how several estimators evaluate the product taking into account several criteria.
  • TURF Analysis
  • Experimental designs for sensory data analysis
  • Sensory Discrimination tests
    allows you to determine to what extent a product of a second product is different.
  • PLS methods
  • Generalized structure component analysis (GSCA)
  • Generalized Regularized Canonical Correlation Analysis (GRCCA)
  • Canonical Correlation Analysis
  • Canonical Correspondence Analysis
  • Procrustes analysis
  • Multiple Factor Analysis (MFA)
  • Principal component analysis (PCA)
  • Redundancy analysis (RDA)

The following features are part of XLSTAT-Base (which is included in XLSTAT-Marketing):


  • Factor analysis
  • Principal component analysis (PCA)
  • Discriminant
  • Correspondence Analysis
  • Multiple Korrespondenzanalysev
  • Multidimensional scaling (MDS)
  • k-means clustering
  • Agglomerative hierarchical clustering
  • Gaussian Mixture Model
  • Univariate partitioning
  • Association Rules
    Using association rules can directional relations between one or more objects of a set and another set of objects are determined in a large data set.


  • Probability Distributions
    • Beta
    • Binomial
    • Negative Binomial
    • Chi-square
    • Exponentially
    • Fisher
    • Fisher-Tippett
    • Gamma
    • GEV
    • Gumbel
    • Lognormal
    • Normal
    • Pareto
    • Poisson
    • Student
    • Uniforme
    • Weibull distribution
  • Linear regression
  • Analysis of variance (ANOVA)
  • Welch and Brown-Forsythe one-way ANOVA
  • Covariance (ANCOVA)
  • Repeated Measures Analysis of Variance (ANOVA)
  • Mixed models and Repeated Measures ANOVA
  • Binary and Multinomial Logistic Regression (Lobit, Probit, ...)
  • Ordinal logit model
  • Log-linear regression (Poisson regression)
  • Quantile
  • Cupic spline
  • Kernel regression
  • Nonlinear regression (GENFIT)
  • Two-Stage Least Squares Regression
  • Classification and regression trees
  • K Neares Neighbors (KNN)


Correlation and Association tests
  • Correlation test
  • Test on contingency tables
  • RV Coefficient
  • Cochran-Armitage trend test
  • Mantel test
Parametric tests
  • Comparison of k proportions
  • Comparison of one proportion
  • Comparison of two proportions
  • Equivalence test (TOST)
  • One-sample variance test
  • Comparison of variances of two samples
  • Comparison of variances k samples
  • Multidimensional tests
  • Multinomieller fit test
  • t and z tests for one sample
  • t and z for two samples
Nonparametric tests
  • Comparison of two independent samples (Kolmogorov-Smirnov, Mann-Whitney)
  • Comparison of two paired samples (Wilcoxon sign test, sign test)
  • Comparison of k independent samples (Kruskal-Wallis test)
  • Comparison of k related samples (Friedman test)
  • Mood test (median test)
  • Durbin-Skilling-Mack test
  • Page Test
  • Cochran's Q test
  • McNemar's test
  • Cochran-Mantel-Haenszel test
  • Running tests on a sample
Outlier Tests
  • Grubbs test for outliers
  • Dixon test for outliers
  • Cochran C test for variances ourlying
  • Mandel's h and l statistics for outliers


  • Export as GIF, JPG, PNG, TIF
  • Data Flagger
  • MinMax Search
  • Distance of text values in a selection
  • Configuring the menu bar (hide, show, etc.)
  • Configuring Workbooks