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Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Quick backtest a strategy on a symbol. Creates a complete .py script with data fetch, signals, backtest, stats, and plots.
Optimize strategy parameters using VectorBT. Tests parameter combinations and generates heatmaps.
Quickly fetch data and print key backtest stats for a symbol with a default EMA crossover strategy. No file creation needed - runs inline in a notebook cell or prints to console.
ニュースヘッドラインを入力として18ヶ月シナリオを分析するスキル。 scenario-analystエージェントで主分析を実行し、 strategy-reviewerエージェントでセカンドオピニオンを取得。 1次・2次・3次影響、推奨銘柄、レビューを含む包括的レポートを日本語で生成。 使用例: /scenario-analyzer "Fed raises rates by 50bp" トリガー: ニュース分析、シナリオ分析、18ヶ月展望、中長期投資戦略
Compare multiple strategies or directions (long vs short vs both) on the same symbol. Generates side-by-side stats table.
Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. Use when you have a structured input bundle and want ranked hypothesis cards with experiment designs, kill criteria, and optional strategy.yaml export compatible with edge-finder-candidate/v1.
| name | ad-to-landing-page-auditor |
| description | Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads. |
| tags | ["ads"] |
The #1 reason ads get clicks but not conversions: the landing page doesn't deliver on the ad's promise. This skill audits the full click path — from ad copy to landing page experience — and flags every disconnect.
Core principle: A great ad with a mismatched landing page is worse than a mediocre ad with a matched one. Message match is the single biggest conversion lever most startups ignore.
Parse the provided ads into:
| Ad ID | Platform | Headline | Body/Description | CTA | Landing Page URL | Conv Rate (if known) |
|---|
Run meta-ad-scraper and/or google-ad-scraper on the user's domain to capture active ads.
For each unique landing page URL:
Fetch: [landing_page_url]
Extract and score:
| Element | Found? | Content |
|---|---|---|
| Hero headline | [Y/N] | "[Text]" |
| Subheadline | [Y/N] | "[Text]" |
| Primary CTA | [Y/N] | "[Button text]" |
| CTA above fold | [Y/N] | — |
| Social proof | [Y/N] | [Logos / testimonials / metrics] |
| Benefit list | [Y/N] | [Key benefits listed] |
| Form / Sign-up | [Y/N] | [Field count: N] |
| Video | [Y/N] | — |
| Trust signals | [Y/N] | [Security badges, guarantees] |
For each ad → landing page pair, score on:
| Dimension | Score (1-10) | Criteria |
|---|---|---|
| Promise continuity | [X] | Does the LP headline deliver on the ad's promise? |
| Language match | [X] | Does the LP use the same words/phrases as the ad? |
| Visual continuity | [X] | Does the LP feel like a continuation of the ad? (Not assessable for search) |
| CTA alignment | [X] | Does the LP's ask match what the ad implied? |
| Specificity match | [X] | If the ad was specific ("for sales teams"), is the LP specific too? |
| Emotional match | [X] | If the ad used fear/urgency, does the LP carry that forward? |
Message Match Score: [Average/60]
| Score | Rating | Meaning |
|---|---|---|
| 50-60 | Excellent | Strong match — LP delivers on every ad promise |
| 40-49 | Good | Minor disconnects but overall coherent |
| 30-39 | Needs work | Noticeable gaps — visitor has to hunt for relevance |
| 20-29 | Poor | Ad and LP feel like different products |
| Below 20 | Critical | Complete mismatch — fix immediately |
Beyond message match, assess landing page conversion friction:
| Friction Type | Check | Status |
|---|---|---|
| Load time | Does the page feel heavy/slow? (Asset count proxy) | [Fast/Slow/Unknown] |
| Form length | How many fields before conversion? | [N fields] — [Appropriate/Too many] |
| CTA clarity | Is there one clear CTA or competing actions? | [Clear/Cluttered] |
| Above-fold conversion | Can someone convert without scrolling? | [Yes/No] |
| Social proof placement | Is proof near the CTA? | [Yes/No] |
| Navigation distraction | Does the LP have full site nav? (Should be minimal) | [Minimal/Full nav] |
| Mobile experience | Any mobile-unfriendly elements? | [Good/Issues] |
# Ad-to-Landing Page Audit — [Product/Client] — [DATE]
Ads audited: [N]
Unique landing pages: [N]
Platform(s): [Google / Meta / LinkedIn]
Overall message match: [Score/60] — [Rating]
---
## Executive Summary
[3-4 sentences: Overall finding, biggest disconnect, top recommendation, estimated conversion impact]
---
## Audit Results by Ad → Landing Page Pair
### Ad 1: "[Ad headline excerpt]"
**Platform:** [Google Search / Meta / LinkedIn]
**Ad copy:**
> Headline: "[text]"
> Body: "[text]"
> CTA: "[text]"
**Landing page:** [URL]
> LP headline: "[text]"
> LP subhead: "[text]"
> LP CTA: "[button text]"
**Message Match Score: [X/60] — [Rating]**
| Dimension | Score | Issue |
|-----------|-------|-------|
| Promise continuity | [X/10] | [Specific finding] |
| Language match | [X/10] | [Specific finding] |
| CTA alignment | [X/10] | [Specific finding] |
| Specificity match | [X/10] | [Specific finding] |
| Emotional match | [X/10] | [Specific finding] |
**Disconnect found:** [Specific description of mismatch]
**Recommended fix:** [Specific change to ad or LP]
### Ad 2: ...
---
## Landing Page Friction Report
### [Landing Page URL]
| Friction Point | Status | Impact | Fix |
|---------------|--------|--------|-----|
| [Friction] | [Red/Yellow/Green] | [High/Med/Low] | [Specific fix] |
---
## Priority Fixes
### Critical (Fix This Week)
1. **[Ad/LP pair]:** [Specific mismatch] → [Specific fix]
- Est. conversion impact: [X% improvement]
### Important (Fix This Month)
2. **[Issue]:** [Fix]
### Nice-to-Have
3. **[Issue]:** [Fix]
---
## Rewrite Suggestions
### For [Ad or LP with worst match]:
**Current ad headline:** "[current]"
**Suggested ad headline:** "[rewrite that matches LP]"
OR
**Current LP headline:** "[current]"
**Suggested LP headline:** "[rewrite that matches ad]"
Save to clients/<client-name>/ads/ad-lp-audit-[YYYY-MM-DD].md.
| Component | Cost |
|---|---|
| Landing page fetching | Free |
| Ad scraping (if scraping own ads) | ~$0.40-1.00 (Apify) |
| Analysis | Free (LLM reasoning) |
| Total | Free-$1.00 |
meta-ad-scraper, google-ad-scraper (if scraping own ads)