Data Analysis Litiaov1.0.0

Analyze A/B test results to decide which checkout flow increases conversion. Use statistical rigor to ensure sample size is sufficient and avoid Simpson's paradox by segmenting traffic sources.

Perform cohort analysis to identify when users churn and what behaviors precede cancellation. Compare retention curves across onboarding versions to recommend changes.

Evaluate whether a new treatment improves patient outcomes compared to existing standard. Control for confounders like age and severity, and quantify effect size with confidence intervals.

Apply anomaly detection to flag unusual transactions. Adjust for multiple comparisons to reduce false positives, and provide context for each flagged point.

Determine which marketing channels drive the highest return using regression analysis. Check for correlation in time series and ensure comparison periods are normalized.

Offer a free tier with limited features and paid plans for advanced analytics. Revenue comes from subscriptions upsold based on conversion optimization insights.

Provide data analysis consulting services and workshops on statistical methods and pitfalls. Revenue from hourly billing or fixed-price engagements.

Integrate this analysis framework as a white-label feature in existing business software. Revenue from licensing or per-usage pricing.