marketing-automation_skill

Overview

This skill is a collection of 23 focused marketing sub-skills for producing repeatable deliverables across CRO, copywriting, SEO, analytics, and growth. It maps business objectives to specific sub-skills and yields actionable outputs with validation and handoff steps. Use it to generate KPI-aligned assets, tests, and implementation checklists that are ready for tracking and iteration.

How this skill works

Provide a short marketing brief that defines a single KPI, target audience, channel, format, and offer details. Select one of the 23 sub-skills (for example page-cro, email-sequence, seo-audit, or growth-experiments) and the skill generates prioritized deliverables, A/B test hypotheses, copy variants, tracking events, and a validation checklist. Final output includes implementation steps, measurement thresholds, and recommended tests for iterative improvement.

When to use it

• You need a single KPI-focused marketing asset (conversion, CTR, activation).
• You want repeatable, high-quality outputs for landing pages, emails, SEO, ads, or growth experiments.
• You need a concrete A/B test plan with expected lift and tracking events.
• You want marketing copy and variants aligned to brand voice and audience language.
• You need an implementation-ready deliverable with success thresholds and monitoring.

Best practices

• Define one clear KPI per deliverable to avoid mixed objectives.
• Be specific about audience segment, pain points, and terminology.
• Provide brand voice constraints and explicit do/don't examples for copy.
• Set tracking events and success thresholds before publishing any asset.
• Prioritize changes by impact vs. effort and iterate using data.

Example use cases

• Landing page CRO: produce prioritized checklist, three A/B hypotheses, and hero/CTA copy variants.
• Email sequence: build a 5-email welcome flow with goals, subject lines, CTAs, and metrics targets.
• Programmatic SEO: create a comparison page template with H1, meta, JSON-LD schema, and internal linking plan.
• A/B test design: generate test variants, hypothesis, required sample size guidance, and expected lift.
• Retention experiment: design a growth experiment, measurement plan, and cohort analysis approach.