Find the perfect analytics tool for your question — no statistics background required. We'll guide you every step of the way.
Don't worry about technical terms — just pick the goal that sounds most like what you're trying to do.
Think about the question you're trying to answer or the decision you need to make. Here are some real examples:
You want to compare two (or more) versions and see if the difference is statistically significant — meaning it's unlikely to be just random chance. The right tool depends on what you're measuring:
You're trying to understand what drives a yes/no outcome. These tools help you identify which variables matter and how much each one affects the probability:
You want to model a numeric outcome (not just yes/no) and understand which factors influence it. Regression tells you how much each factor matters:
Clustering finds natural groupings in your data based on similarities. Great for persona development and targeted marketing:
Text analysis tools help you extract meaning from unstructured text — finding themes, measuring sentiment, and identifying patterns:
Attribution models help you understand which touchpoints in the customer journey actually contributed to conversions:
Time series forecasting uses historical patterns to predict future values. Essential for planning and budgeting:
Conjoint analysis reveals customer preferences by analyzing trade-off choices. Shows what matters and how much people will pay for it:
Positioning maps visualize how brands are perceived relative to each other on key dimensions:
Sample size calculators tell you how many responses you need to detect the effect you're looking for with confidence: