Generate structured A/B test plans for DTC funnels with hypotheses, control vs variant, and sample size estimates.

Design statistically valid A/B tests and experiments with clear hypotheses and metrics.

Design statistically valid A/B tests, calculate sample sizes, structure growth experiments, and analyze results.

Grade running ads as Red, Yellow, or Green, detect creative fatigue, and recommend data-driven scaling actions.

Guide tracking of AI-driven search traffic and AI Overviews in GA4 and Google Search Console.

Set up, improve, and audit analytics tracking and measurement plans with expert frameworks.

Perform exploratory data analysis and statistical visualizations following best practices for Python and pandas.

Guide analytics implementation, GA4 configuration, event tracking, conversions, and attribution.

Analyze GitHub Actions integration test runs, calculate skill invocation rates, and file failure issues.

Guide mobile app install campaigns, user acquisition strategies, and in-app promotion across ad platforms.

Optimize app store listings, research keywords, analyze competitors, and plan app launches.

Get guidance and reference material for instrumenting webapps with Azure Application Insights.

Choose attribution models, analyze multi-touch journeys, and reconcile conflicting marketing numbers.

Analyze follower growth data and content performance to generate actionable audience development insights.

Build and query Kusto graphs from natural language using transient and persistent operators.

Audit link profiles, assess quality, identify risk signals, and uncover competitive link gaps.

Measure performance baselines, detect regressions before and after PRs, and compare stack alternatives.

Score competitors across nine weighted dimensions with explicit rubrics and evidence justifications.

Analyze plans using a 12-month pre-mortem framework to surface assumptions, risks, and vulnerabilities.

Master ClickHouse database patterns, query optimization, and analytics engineering best practices.

Create structured competitive analyses with feature matrices, positioning maps, and strategic recommendations.

Scope and tier a defensible competitor set across eight strategic axes before running benchmark methodology.

Find, verify, classify, and rank direct and adjacent competitors from public web evidence.

Synthesize competitor research into feature and pricing comparisons, SWOT, moat analysis, and strategy.