Results for “a-b-testing”

Plans a comprehensive app launch strategy, covering pre-launch ASO, press outreach, beta testing, launch-day activities, and post-launch optimization.

Design and evaluate paid-ad experiments with hypotheses, randomization, sample-size calculations, guardrails, and decision rules for A/B and split tests.

Design high-CTR YouTube thumbnails with AI image generation, covering dimensions, safe zones, color strategy, text rules, face expression psychology, and A/B testing.

Optimize conversion rates with funnel analysis, A/B testing, statistical significance, and compliance-safe experiments.

The science of learning through controlled experimentation. A/B testing isn't about picking winners—it's about building a culture of validated learning and reducing the cost of being wrong. This skill covers experiment design, statistical rigor, feature flagging, analysis, and building experimentation into product development. The best experimenters know that every test, positive or negative, teaches something valuable. Use when "a/b test, experiment, hypothesis, statistical significance, sample size, feature flag, variant, control, treatment, p-value, conversion rate, test winner, split test, experimentation, testing, statistics, feature-flags, hypothesis, growth, optimization, learning, validation" mentioned.

Design statistically valid A/B tests with hypothesis frameworks, sample size calculations, and analysis checklists.

Diagnose page conversion readiness with a weighted scoring index and deliver prioritized, evidence-based CRO recommendations.

Diagnose why a page is or is not converting and provide prioritized, evidence-based recommendations for improvement.

Optimize signup, registration, and trial activation flows to reduce friction and increase completion rates.

Diagnoses page-level conversion problems, scores conversion readiness, and delivers prioritized, evidence-based optimization recommendations.

Diagnose why a web page is or is not converting and produce prioritized, evidence-based optimization recommendations with a readiness score.

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.

Analyze landing pages and funnels to identify conversion barriers and deliver actionable, prioritized recommendations for improvement.

Audits and optimizes conversion points across the funnel, applying behavioral science to produce prioritized, testable hypotheses.

Diagnose why a page is or is not converting and provide prioritized, evidence-based recommendations for conversion optimization.

Audit websites and landing pages for conversion issues and design evidence-based A/B tests using a scientific, customer-centric methodology.

Write compelling B2B case studies using the STAR framework, with research, data visualization, and distribution formats.

Analyzes marketing pages and forms to identify conversion barriers and provides prioritized, actionable recommendations for improving conversion rates.

Marketing skills router: match marketing intent to a sub-skill, then Read its Entry file under skills/<name>/ (e.g. ads/ads.md). Covers CRO, copywriting, SEO/AEO, paid ads, ad creative, analytics, email/SMS, pricing, launches, video/image generation, and growth loops. Use for any marketing request — campaigns, content, optimization, measurement.

Improves mobile conversion rates by fixing page speed, CTA visibility, form usability, and hover-dependent interactions, with guidance on real-device testing.

Diagnoses why a page is or is not converting, scores conversion readiness, and provides prioritized, evidence-based recommendations.

Analyzes marketing pages and provides actionable conversion rate optimization recommendations, covering value proposition, headlines, CTAs, trust signals, and friction points.

Optimize lead capture, contact, demo request, application, survey, quote, and checkout forms to maximize completion rates while preserving data usefulness.

Maximize form completion rates for lead capture, contact, demo, and checkout forms through field audits, layout recommendations, and A/B test ideas.

Design high-converting landing pages with layout rules, hero section design, CTA psychology, and AI-generated visuals.

Optimizes form completion rates for lead capture, contact, demo request, application, survey, and checkout forms through structured audits and A/B test recommendations.

Analyze marketing pages and provide actionable recommendations to improve conversion rates, covering value proposition, headlines, CTAs, visual hierarchy, trust signals, objection handling, and friction points.

Maximize form completion rates for lead capture, contact, demo request, application, survey, quote, and checkout forms by diagnosing friction and applying evidence-based optimizations.

Plan, execute, document, and retest authorized security assessments of AI agents and multi-agent workflows using safe adversarial cases, synthetic identities, canaries, and evidence-based findings. Use when defining red-team rules of engagement, assessing prompt injection or excessive agency, testing tool and identity boundaries, evaluating memory or cross-agent attacks, scoring a campaign, or verifying remediation in an approved environment.

Conversion rate optimization for marketing pages and lead-capture forms. Use when the user wants to improve conversions on a homepage, landing page, pricing page, feature page, blog CTA, contact form, demo form, or campaign page. For product onboarding use user-onboarding; for lifecycle email use marketing-automation; for pricing and paywalls use pricing-strategy; for A/B testing use ab-test-setup.