appeeky/ua-skills

competitor-ad-teardown

When the user wants to analyze competitor Meta ads, find what creatives competitors run, or research ad angles before creating their own.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/appeeky/ua-skills --skill competitor-ad-teardown

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Competitor Ad Teardown (Meta Ad Library)

Analyze competitor paid social creatives via Appeeky Meta Ad Library integration. Produce a swipe file of patterns and hooks — not a copy-paste kit.

Research before you generate. The best first batch mirrors proven formats with your unique positioning.

Initial Assessment

  1. Read app-ads-context.md — your app, category, geo
  2. Identify 1–3 competitors (direct + aspirational)
  3. Confirm read-only Ad Library access (Appeeky API key; optional X-Meta-Ad-Library-Token)

What You Can Learn (and Cannot)

Can learnCannot learn
Active creative formatsExact spend / ROAS
Hook patterns and anglesWhich ad "wins" internally
Long-running ads (proxy for profit)Full funnel CVR
Platform mix (FB, IG, etc.)Audience targeting details (limited)
CTA and copy structureProprietary assets to steal

Long-running active ads (30+ days) are the strongest signal — competitors rarely keep losers live.

Data Sources (Appeeky MCP)

ToolUse when
meta_app_ad_intelligenceYou have competitor App Store / Play ID
meta_ads_searchKeyword or brand name search
meta_ads_page_adsYou know Facebook Page ID

See appeeky-meta-ads.md.

Workflow

Step 1 — Identify Target

InputExample
Competitor app name"Calm"
Apple App ID571800810
Google packagecom.competitor.app
Facebook Page IDIf known from prior search

Pull organic context from aso-skills competitor-analysis if available — aligns ASO vs paid positioning.

Step 2 — Fetch Ad Intelligence (by app)

Best starting point — resolves app → brand → Ad Library:

meta_app_ad_intelligence
  app_id: "571800810"
  platform: "apple"
  country: "us"
  status: "ACTIVE"
  media_type: "ALL"
  limit: 25

Google Play:

meta_app_ad_intelligence
  app_id: "com.competitor.app"
  platform: "google"
  country: "us"
  lang: "en"
  limit: 25

Override search terms if brand name differs from app title:

meta_app_ad_intelligence
  app_id: "571800810"
  platform: "apple"
  query: "Calm meditation sleep"

Step 3 — Search by Keyword or Page

Keyword search:

meta_ads_search
  query: "Calm meditation"
  countries: "US"
  status: "ACTIVE"
  media_type: "ALL"
  limit: 25

Page-specific:

meta_ads_page_ads
  page_id: "<facebook-page-id>"
  countries: "US"
  status: "ACTIVE"
  limit: 25

Paginate with after cursor if limit exhausted.

Step 4 — Analyze Each Ad

For top 10–15 ads (prioritize long-running + diverse formats):

DimensionWhat to extract
HookFirst line of primary text / video opening
FormatVideo / static / carousel / meme
AngleProblem, social proof, offer, fear, aspiration
VisualUGC, studio, screenshot, before/after
CTAInstall, Learn more, Sign up
Runtimead_delivery_start_time → today
PlatformsFacebook, Instagram, Messenger, Audience Network
SeasonalityHoliday, back-to-school, New Year

Step 5 — Pattern Summary

Cluster ads into 3–5 patterns. Count frequency.

Step 6 — Translate to Your Variants

Map gaps to ad-creative-variants matrix — angles competitors don't use are opportunities.

Analysis Framework

Hook Taxonomy

TypeSignal wordsExample
Problem"Tired of", "Still", "Can't""Still can't focus?"
Outcome"Get", "Finally", "In X days""Sleep better in 7 nights"
Social proof"Join", "million", "#1""Join 10M+ users"
Curiosity"This", "Why", "Secret""This app fixed my mornings"
Identity"For [persona]""For busy moms"
Offer"Free", "Trial", "% off""7-day free trial"

Format Taxonomy

FormatScroll-stop mechanismYour Appeeky preset mapping
UGC phoneAuthenticityperson_holding_phone + ugc
Split problem/solutionContrastproblem_solution_split
Testimonial quoteTrustcreator_testimonial
Clean product shotPremiumclean_app_store_mockup
Video demoMotion prooftiktok-creative-strategy (not static API)

Longevity Scoring

Days activeInterpretation
< 7Testing — weak signal
7–30Promising — watch
30–90Likely working
90+Core evergreen creative

REST API Equivalents

bash
# App intelligence
GET /v1/apps/:id/ad-intelligence?platform=apple&country=us

# Search
GET /v1/ads/meta/search?query=Calm&countries=US&status=ACTIVE

# Page ads
GET /v1/ads/meta/pages/:pageId/ads?countries=US

Headers: Authorization: Bearer <appeeky-key>; optional X-Meta-Ad-Library-Token.

Output Template

markdown
# Competitor Ad Teardown — [Competitor Name]

**App ID:** [id]  |  **Platform:** apple  |  **Ads analyzed:** N active
**Date:** [date]  |  **Geo filter:** US

## Executive Summary
[2–3 sentences: what they lean on, what's missing, your opportunity]

## Top Patterns

### 1. [Pattern Name] — X of N ads
- **Format:** Video / static / carousel
- **Angle:** Problem / proof / offer
- **Typical hook:** "..."
- **Why it works:** [hypothesis]
- **Example library ID:** [id]

### 2. [Pattern Name] — X of N ads
...

## Hook Swipe File

| Hook (paraphrased) | Type | Format | Days live | Platforms |
|--------------------|------|--------|-----------|-----------|
| | Problem | Video | 90+ | IG, FB |
| | Social proof | Static | 45 | FB |

## Visual Patterns
- Dominant: [UGC / studio / screenshot]
- On-image text: [heavy / minimal]
- Brand colors: [notes]

## Platform Mix
| Platform | % of ads |
|----------|----------|
| Instagram | |
| Facebook | |
| Audience Network | |

## Gaps & Opportunities
- **Angles they avoid:** [list]
- **Formats underused:** [e.g. before/after]
- **Weak CTAs to beat:** [generic "Learn more"]
- **Geo gaps:** [EU vs US creative differences]

## Recommended Variants for Us
→ Run `ad-creative-variants` with:

| Variant | Angle (inspired by, not copied) | Style / Preset |
|---------|--------------------------------|----------------|
| A | [your problem hook] | problem_solution / split |
| B | [your UGC angle] | ugc / person_holding_phone |
| C | [gap they miss] | professional / mockup |

## Ethical Use Reminder
- Inspire format and structure — never copy exact copy/visuals
- Do not present competitor ads as your own

Multi-Competitor Comparison

When analyzing 2–3 competitors:

PatternComp AComp BComp CYou
UGC video✅ Heavy⚠️ Some❌ None?
Before/after❌✅ Heavy❌Opportunity
Free trial CTA✅✅⚠️Match

TikTok Competitor Research (manual)

No TikTok Ad Library API in Appeeky yet:

  1. TikTok Creative Center → Top Ads by industry
  2. Search #[competitor] and "[competitor] ad" on TikTok
  3. Document in same teardown template under TikTok appendix
  4. Feed hooks into tiktok-creative-strategy

Benchmarks (category signals)

SignalSaturated marketOpen opportunity
Same hook in 80%+ adsParity required + differentiation
Video dominanceNeed video channel (TikTok/Meta video)Static may still work if others ignore
No static adsStatic 1024 via meta-ad-creative
Heavy offer adsTrial/price in your copyBrand/outcome angle unused

Common Mistakes

MistakeFix
Copying hooks verbatimParaphrase; adapt to your listing
Analyzing inactive ads onlyFilter status: ACTIVE
One competitor onlyCompare 2–3 for pattern confidence
Ignoring ad ageWeight long-running ads higher
Research without actionAlways output variant recommendations
Skipping your own listingGenerate only after teardown → variants plan

Ethical & Legal Use

  • Inspire, don't infringe — formats and categories are fair game; assets and exact copy are not
  • Paraphrase all hooks in swipe file
  • Use competitor ads for internal strategy only
  • When showing user examples, label clearly as competitor ad with source

Pre-Teardown Checklist

- [ ] Competitor app IDs confirmed
- [ ] Geo filter matches your launch market
- [ ] meta_app_ad_intelligence or search returned results
- [ ] 10+ ads analyzed (or documented if fewer exist)
- [ ] Patterns counted and ranked
- [ ] Variant recommendations mapped to ad-creative-variants
- [ ] Ethical use note included in output

Related Skills

  • ad-creative-variants — build counter-creatives from teardown
  • meta-ad-creative — single creative from your listing
  • tiktok-creative-strategy — video format selection
  • meta-campaign-setup — deploy after creatives ready
  • aso-skills competitor-analysis — organic/ASO side
  • aso-skills competitor-tracking — ongoing monitoring
  • app-ads-context — your positioning vs findings

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