Experimental Design

A/B Testing

Question: Does a challenger channel outperform the control in conversion and revenue efficiency? Data: customer-level acquisition outcomes by channel, including cost, conversion, and revenue. Method: two-proportion z-test for conversion lift plus confidence intervals and supporting revenue distribution diagnostics.

Dataset

800 Records

Customer acquisition data

1. Analysis Name

A/B Testing

This page compares a control channel against a challenger, testing whether conversion lift is statistically credible and whether revenue supports the same decision.

2. Problem Context

What problem this page answers

The business problem is to decide whether a challenger should replace or complement the control. The page separates observed performance, statistical significance, and commercial impact so the recommendation is auditable.

3. Observed Data

Observed cohort outcomes and descriptive summary

The first chart shows the actual converted and non-converted counts for each cohort. The table summarizes sample size, conversion, revenue, and cost before any inference is applied.

Variant Summary

4. Workflow

How the experiment answer is built

The workflow checks observed lift, quantifies statistical uncertainty, and then reviews revenue behavior to confirm whether the apparent winner holds up commercially.

01

Build cohorts

Keep control and challenger distinct and compare like-for-like channel groups.

02

Test conversion lift

Apply a two-proportion z-test at the selected confidence level.

03

Validate business impact

Compare revenue distributions to avoid picking a statistically better but commercially weaker option.

Experiment Verdict

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Winning Variant

-

Test Statistics

P-value: -
Z-score: -
Relative uplift: -
CI: -

5. Conclusion

Recommended experiment answer

Why this is the best answer