Results for “ab-testing”

Analyze marketing pages and forms to provide actionable recommendations for improving conversion rates.

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.

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 and optimize in-app paywalls, upgrade screens, and upsell modals to convert free users to paid or upgrade to higher tiers.

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

Design pricing strategies grounded in value delivery, competitive positioning, and willingness to pay. Recommends pricing models, tiers, and experiments.

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

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.

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

Optimize non-signup forms such as lead capture, contact, demo request, application, survey, quote, and checkout forms to maximize completion while preserving data usefulness.

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

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

Optimizes non-signup forms such as lead capture, contact, demo request, application, survey, quote, and checkout forms to maximize completion while preserving data usefulness.

Optimizes non-signup forms such as lead capture, contact, demo request, application, survey, quote, and checkout forms to maximize completion while preserving data usefulness.

Create app store screenshots and preview videos for Apple App Store and Google Play with exact platform specs, device mockups, and gallery ordering guidance.

Optimize non-signup forms such as lead capture, contact, demo request, application, survey, quote, and checkout forms to maximize completion while preserving data usefulness.

Conversion Rate Optimization auditing for landing pages, signup flows, checkout funnels, forms, and CTAs. Identifies friction points, runs heuristic evaluations, produces prioritized recommendations using ICE/PIE frameworks. Use when the user asks about conversion optimization, funnel analysis, landing page audits, form optimization, CTA testing, or checkout improvement.

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.

When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For choosing attribution models, comparing multi-touch/MMM/incrementality, or reconciling conflicting numbers across tools, see attribution. For A/B test measurement, see ab-testing.

When the user wants to set up a recurring, self-running marketing workflow — a repeatable loop an AI agent runs on a cadence (weekly, daily, on a trigger) rather than a one-off task. Also use when the user mentions 'marketing loop,' 'recurring marketing workflow,' 'automate my marketing,' 'marketing on autopilot,' 'weekly marketing review,' 'ad fatigue check,' 'content refresh loop,' 'churn watch,' 'ranking drop alert,' 'always-on marketing,' 'marketing automation workflow,' or 'run this every week.' Use this to pick, adapt, and schedule an ongoing marketing loop that orchestrates the other marketing skills. For one-off marketing ideas, see marketing-ideas. For the experimentation loop specifically, see ab-testing.

Your customer-interview target finder. Connect Salesforce (CSM-managed customer book) and a canonical ICP doc — turns "who should I interview to validate the ICP, test the positioning, learn how they found us?" into a ranked slate of ~20 customers, each with a verdict, three-bullet why, and one named buying-committee recipient ready for a CSM-mediated intro. Use when a founder, GTM leader, or PMM is starting an ICP-validation round, testing new positioning, building a win-story program, or scouting reference customers. Trigger on "find customers to interview", "ICP validation interviews", "test our positioning with customers", "customer interview targets", "who in my book matches the ICP", "build a customer research slate", "find reference customers", "who should we talk to about how they found us", "validate the ICP with real customers", or any request to convert a CSM or AE book into a prioritized interview slate. Also fires when a new ICP doc ships and needs socializing with the customers who define it.