Skill-Details
landing-optimizer
Landing-page optimization, but specifically for influencer and paid traffic.
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SKILL.md
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---
name: landing-optimizer
slug: landing-optimizer
displayName: "Landing Optimizer · 落地页优化"
summary: "流量落地页转化优化:信息匹配、首屏、CTA 与信任要素"
description: 'Use when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a message-match audit, page-structure and social-proof recommendations, a promo-code/CTA conversion plan, and an A/B test roadmap. Not for measuring campaign results after launch — use performance-analyzer. 落地页优化/达人流量转化提升'
version: "19.2.0"
license: Apache-2.0
compatibility: "Claude Code and compatible agent-skill hosts"
homepage: "https://github.com/aaron-he-zhu/aaron-marketing-skills"
when_to_use: "Activate when the user wants to build or improve a landing page that receives influencer-driven traffic: message match between creator content and the page, dedicated creator pages, promo-code auto-apply, social-proof placement, mobile conversion fixes, friction reduction, or A/B test planning for influencer campaigns."
argument-hint: "<landing page URL or campaign> [influencer handle] [promo code]"
metadata: {"author": "aaron-he-zhu", "version": "19.2.0", "discipline": "influencer", "phase": "report", "geo-relevance": "low", "hermes": {"tags": ["marketing", "influencer", "report"], "category": "influencer"}, "openclaw": {"emoji": "📣", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---
# Landing Optimizer
This skill helps you create and optimize landing pages specifically for influencer marketing traffic. When users click from an influencer's post, the landing experience should feel connected and optimized for conversion.
> **Cross-discipline (paid ads):** this is also the **paid-ads** post-click skill — the page half of the ROAS **Offer** message-match (it pairs with [ad-creative-builder](../../../ad/orchestrate/ad-creative-builder/SKILL.md), which owns the ad half). The same diagnose-and-fix flow applies to paid landing pages; save paid runs under `memory/ad/landing-optimizer/`. On paid runs, message-match the page against the [offer-claims-registry](../../../protocol/offer-claims-registry/SKILL.md) ledger when present: offer terms, promo codes, and dates against `memory/claims/offers.md`, and claim wording against the approved variants in `memory/claims/claims-ledger.md`.
## Quick Start
Shortest invocation:
```
Optimize our landing page for traffic from [influencer campaign]
```
Common scenario — diagnose and fix a low-converting creator page:
```
Our influencer landing page has [X%] conversion rate. How can we improve it?
```
## Skill Contract
- **Reads**: landing page URL and current state, conversion rate and goal, traffic source (influencer handles, platforms, content type), the influencer's key message/quote, promo code, audience demographics. Inputs come from the user when no tool is connected.
- **Writes**: optimization plan saved to `memory/influencer/landing-optimizer/YYYY-MM-DD-<topic>.md` (message-match audit, structure and social-proof recommendations, conversion/CTA plan, A/B test roadmap).
- **Promotes**: durable facts — active campaign name, page URL, baseline conversion rate, promo code, primary creator — to `memory/hot-cache.md`.
- **Done when**:
- Message-match score and named fixes are produced for the page.
- A prioritized conversion plan (CTA, promo-code experience, friction, mobile) exists with expected impact.
- An A/B test roadmap with at least one hypothesis and success metric is written.
- **Primary next skill**: [performance-analyzer](../performance-analyzer/SKILL.md) — measure whether the optimizations moved conversion.
### Handoff Summary
> Emit the standard shape from [skill-contract.md §Handoff Summary Format](../../../references/skill-contract.md).
## Data Sources
This family needs no live integrations (Tier 1). The skill works by asking the user for the page URL, current conversion rate, the influencer's message, and the promo code, then prVollständige Quelle auf GitHub lesen (öffnet externe Seite)