Skill UI

Design statistically valid A/B and multivariate tests: formulate hypotheses, choose metrics, calculate sample size, allocate traffic, run experiments, and analyze results for growth.

Design a comprehensive and systematic framework for optimizing ad creative performance. This tool guides users through defining testable variables (headlines, CTAs, imagery), designing A/B and multivariate tests, calculating required sample sizes, and establishing optimal iteration cadences across major advertising platforms (Meta, Google, etc.) for continuous marketing improvement.

A comprehensive tool for creating, validating, and deploying targeted email marketing campaigns across major platforms (SendGrid, Klaviyo, Customer.io, etc.). It manages the entire campaign lifecycle, from content personalization and A/B testing setup to rigorous spam scoring, compliance checks, and optimal send time scheduling, ensuring maximum deliverability and brand consistency.

This tool provides a statistically rigorous framework for analyzing a user's private LinkedIn post performance data. It moves beyond simple averages, utilizing median/MAD and permutation testing to determine if observed patterns are genuine or statistical noise. It guides users through three steps: descriptive analysis, pattern mining, and sizing future A/B experiments, ensuring hypotheses are testable and avoiding over-conclusion. Works only with your own exported data.