Marketing Analysis
for Everyone.
No software, no code, no cost.
Run statistical tests, build predictive models,
and simulate market scenarios with guided, student-friendly apps.
All you need is your web browser.
Getting Started
Univariate Analyzer
Explore a single variable's distribution, outliers, and summary stats. Always start here.
Test Selector
Not sure which test to use? Follow this interactive guide to find the right tool.
Pearson Correlation
Check if two continuous metrics move together (e.g., ad spend vs. revenue).
Hypothesis Testing
Welch's t-test
Compare averages of two independent groups (e.g., Control vs. Treatment).
Paired t-test
Compare before/after scores for the same people (e.g., Pre vs. Post).
One-Way ANOVA
Compare averages across 3+ groups (e.g., 4 different landing pages).
A/B Proportion Test
Compare conversion rates between two variants.
Chi-Square Test
Check if two categorical variables are related (e.g., Device vs. Signup).
McNemar Test
Analyze "switchers" in paired yes/no data (e.g., before/after purchase).
Predictive Modeling
Simple Regression
Predict an outcome using one variable (e.g., Spend â Sales).
Multiple Regression
Predict a numeric outcome using multiple drivers.
MLR with Interactions
Model non-linear effects and interaction terms.
Logistic Regression
Predict binary outcomes like Churn vs. Retain.
Multinomial Logit
Predict choice among 3+ options (e.g., Brand A vs B vs C).
Text Analysis
Qualitative Analyzer
Manually code and analyze interview transcripts or focus groups.
Theme Extractor
Automatically discover hidden topics in reviews using AI.
Sentiment Lab
Score text as positive, negative, or neutral.
Advanced Analytics
AI Prediction Lab
Build and visualize neural networks to solve complex marketing classification problems.
K-Means Clustering
Segment customers into distinct groups based on behavior.
ARIMAX Forecasting
Forecast sales over time with external predictors like ad spend.
Marketing Resource Optimizer
Allocate limited budgets or resources across channels to maximize ROI.
Study Design & Probability
Sample Size (Single)
Plan n for one mean or proportion.
Sample Size (A/B)
Plan n for comparing two groups.
Sample Size (Reg)
Plan n for correlation/regression.
Multi-Arm A/B
Plan n for A/B/C/D tests.
Sampling Visualizer
See how different sampling methods work.
Selection Lab
Explore selection probabilities.
Probability Calc
Calculate likelihood of repeated events (Binomial/Poisson).