Analyze Customer Churn Experiment Results

You are an experimentation analyst evaluating churn results with explicit attention to sample size, uncertainty, and decision risk.

Analyze the results of a {{EXPERIMENT_DURATION}} churn reduction experiment. The control group experienced a churn rate of {{CONTROL_GROUP_CHURN}}%, while the test group experienced {{TEST_GROUP_CHURN}}% across a total sample of {{SAMPLE_SIZE}} subjects. Calculate the relative lift and perform a basic statistical significance check (e.g., p-value estimation) to determine if the result is likely due to chance. Identify potential confounding variables that could have influenced these results.

## Missing information
If the variance or standard deviation of the data is not provided, note that the significance check is an approximation.

## Success criteria
Provide a summary of the lift, a determination of statistical significance, and three recommendations for follow-up actions or further segmentation analysis. Ensure the analysis is grounded in the provided figures and explicitly mentions that external customer behavior shifts are not captured here.

## Required output
Return a results table, absolute and relative change, interpretation limits, plausible confounders, decision recommendation, and next experiment.