# Marketing And Growth > Growth engineering, conversion rate optimization (CRO), technical SEO, landing page copywriting, analytics, campaign/launch strategy, email, customer research, positioning, and content systems. Use for marketing, growth, launch strategy, SEO, or funnel optimization. - Skill: `marcmarti9/marketing-and-growth` (Agent Skill, multi-file: 4 files) - Install (CLI): `npx skillmds@latest add marcmarti9/marketing-and-growth` - Raw SKILL.md: https://api.skillmd.com/api/skills/marcmarti9/marketing-and-growth/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Marketing & Growth - Author: marcmarti9 (https://skillmd.com/u/marcmarti9) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/marcmarti9/marketing-and-growth --- # Marketing and Growth Engineering Marketing work should be driven by **business truth + customer evidence + current channel data + measurement**, not by a pile of clever prompts. Use deep references **JIT**, not all at once: - broad/substantial marketing strategy, research, positioning, copy, email, content systems -> `references/marketing-operating-system.md`; - SEO/search/growth-loop work -> `references/seo-growth-loop.md`; - product/feature launches, launch research, video/content production, repurposing -> `references/launch-content-system.md`. The first reference distills the useful procedures behind the bookmarked “500 prompts / replace an agency” article into reusable capabilities and workflow chains instead of preserving hundreds of prompts verbatim. The other two distill the Grok SEO/Helena and Okara/Motion/faceless-video bookmark clusters respectively. Load only the reference(s) that actually apply to the current task. ## Core principles 1. **Context before copy.** Inspect the offer, audience, proof, objections, brand voice, goal, and available evidence before generating campaign assets. 2. **Clarity over buzzwords.** Communicate a specific truthful value proposition. Avoid generic “revolutionary/seamless/next-generation” filler. 3. **Research before positioning.** Use customer language, category/competitor evidence, existing analytics, search data, support/review material, and project truth where available. 4. **Procedures over magic prompts.** Reusable knowledge should be expressed as inputs -> decision/artifact -> evidence/QA -> next stage. 5. **Current sources for changing facts.** Search behavior, competitors, platform rules, prices/features, APIs, SEO guidance, regulations, and channel norms can change; verify them live when material. 6. **Proof before claims.** Never fabricate metrics, testimonials, logos, scarcity, guarantees, customer results, or product capabilities. 7. **Instrument important funnels.** Define the success signal and review window before declaring a campaign/change successful. 8. **Close the loop.** Baseline -> hypothesis -> action -> measurement -> learning -> keep/iterate/revert/stop. ## Capability selection Load/use only the capabilities the task actually needs. Typical capabilities are: - customer/ICP research; - competitor/category analysis; - positioning and message house; - content strategy; - sales/landing copy; - repurposing/content atomization; - SEO opportunity + content briefs; - email lifecycle; - campaign/launch architecture; - analytics/CRO/learning loops. Do not run all ten because a project contains the word “marketing”. ## Technical SEO foundation For implementation-level SEO, verify against the current stack/search-engine guidance and project requirements. Common concerns include: - crawlability/indexability; - canonical URLs; - sitemap/robots behavior; - semantic page structure; - structured data appropriate to the actual entity/content; - metadata/social cards; - internal linking; - performance/Core Web Vitals where relevant; - duplicate/thin/generated content risk; - locale/hreflang where the site actually needs it. Do not add every schema type or metadata field mechanically. Match the page and current official guidance. ## Copy / value proposition A useful copy sequence is: `reader state -> desired action -> promise -> mechanism/difference -> proof -> objections -> information sequence -> copy -> factual/brand review` Headlines should explore different **strategic angles**, not just synonyms. CTA text should make the next action and expectation clear. Use real social proof only. If no proof exists, change the composition/message rather than manufacturing it. ## CRO / funnel optimization Start from observed or testable friction. ```text funnel evidence -> friction hypothesis -> bounded message/design/product change -> QA -> measurement window -> result -> learning ``` Track events that correspond to the real funnel rather than blindly installing a generic event taxonomy. ## Content / distribution A content system should connect audience need to a business objective: ```text questions / pains / search demand / product evidence -> content pillars or topic clusters -> strong source asset -> platform-native derivatives -> distribution -> downstream metrics -> future topic/format updates ``` Repurposing may create X/LinkedIn/short-video/newsletter/carousel/etc. derivatives, but it must preserve factual consistency and adapt format/angle to the platform rather than cloning text everywhere. ## Campaign / launch For a material launch, prefer a staged pipeline: `research -> positioning -> message house -> launch brief -> channel architecture -> core assets -> derivatives -> distribution -> questions/data -> follow-up -> review` Use current launch references when they materially improve the decision; do not copy another launch's wording/brand assets or infer causality from a viral post. ## Email Design email sequences from the customer state and job of each message, not from a fixed “5-email template”. Respect the actual jurisdiction/platform's consent, suppression, unsubscribe, and messaging requirements. ## Analytics and learning Choose metrics that match the objective: qualified leads, conversion, revenue/margin, clicks, watch/completion, search performance, retention, objections, etc. A learning should record evidence, scope, confidence, decision impact, and when to re-check. Do not turn one campaign or two posts into a universal law. ## References and provenance When external sources materially affect a durable marketing decision: - distinguish canonical/current evidence from creator/vendor claims and inspiration; - record the actual principle or factual premise used; - re-verify dynamic facts when needed; - update the project's reference ledger when the influence is durable. Large prompt/source collections are treated as **source material for procedures**, not runtime dependencies. Agency-replacement/pricing framing is not treated as verified outcome evidence. ## Completion questions Before claiming substantial marketing work complete, be able to answer: - What audience/business problem did this solve? - What evidence or current sources informed it? - Which intermediate decisions/artifacts led to the output? - Are all material claims supportable? - What metric/evidence will tell us whether it worked? - What is the review/next-action condition?