Meta Ads Analyser

Meta Ads Analyser

Generate a professional ad strategy analysis report from extracted Meta ad creatives.

Portability note: Examples assume the OmegaOS VPS (~/clawd/output/meta-ads/..., sips on macOS, Telegram delivery). On other hosts: substitute your own asset/output directory, use ffprobe/identify (ImageMagick) instead of macOS-only sips, and deliver the zip via whatever channel is available. The analysis logic is unchanged.

Dynamic Workflow orchestration (Bucket A — fan-out)

This is multi-angle competitive analysis. Decompose into independent units, fan out, adversarially verify, then synthesize one coherent report.

1. Plan — inventory the assets folder. Enumerate units: N ad creatives, M landing pages. Build the work list before analyzing anything (R-RUBRIC: criteria up front).
2. Parallel fan-out — analyze file-disjoint units concurrently (each creative and each landing page is independent): per-creative analysis (hook/script/emotion/CTA/gaps), per-landing-page analysis (headline/strategy/conversion flow), funnel mapping. One Workflow lane per unit; never two lanes writing the same file (R-SCOPE).
3. Adversarial verify (2-of-3) — before a claim enters the report, falsify it across 3 independent lenses: (a) does the asset actually show this hook/emotion (re-watch the exact frame / re-read the exact line)? (b) is the funnel mapping supported by the real destination URL, not assumed? (c) is the strategy pattern present in ≥2 creatives, not a single coincidence? A claim needs 2-of-3 to ship. Drop or downgrade the rest.
4. Synthesize — YOU write the Strategy Overview from the verified per-unit findings. Never paste a lane's raw summary as the verdict — synthesis is your own job (R-ORCH).
5. Loop-until-dry — if the asset count is unbounded (large competitor set), batch the fan-out and loop until every creative + landing page has a verified card. 92% is not done (L4): every asset in the folder must appear in the report or be explicitly noted.

Prerequisites

• Extracted ad assets from /meta_ads_extractor (images, videos, landing page screenshots)
• Ad creative analysis (hooks, scripts, emotions, CTAs, strengths/weaknesses)
• Landing page analysis (headlines, strategies, conversion flows)

Input

Assets folder from extraction, typically at:

~/clawd/output/meta-ads/{advertiser-slug}/
├── {slug}-video-01.mp4
├── {slug}-video-02.mp4
├── {slug}-image-01.jpg
├── {slug}-image-02.jpg
├── landing-{page-name}.jpg
└── ...

Analysis Process

1. Analyze Each Creative

For each ad creative, identify:

• Aspect Ratio — Dimensions and ratio (1:1, 4:5, 9:16, 16:9)
• Duration — For videos, length in seconds
• Hook — Opening line/visual that stops the scroll
• Script/Copy — Key messaging and value proposition
• Visual Flow — Sequence of scenes/elements (for video)
• Emotion — Primary emotional trigger (curiosity, fear, aspiration, etc.)
• CTA — Call to action and friction level
• Strengths — What works well
• Weaknesses/Gaps — What could be improved

Use vision model for images, Gemini for video analysis.

Get dimensions with:

# Images (macOS)
sips -g pixelWidth -g pixelHeight image.jpg

# Videos
ffprobe -v error -select_streams v:0 -show_entries stream=width,height -of csv=p=0 video.mp4

Common aspect ratios:

2. Analyze Landing Pages

For each landing page, identify:

• Headline — Primary value proposition
• Strategy — Key conversion elements (social proof, urgency, etc.)
• Conversion Flow — Path from landing to purchase/signup
• Strengths — What converts well
• Gaps — Missing elements or friction points

3. Map Funnels

Group ads by their destination landing page. Each funnel = landing page + all ads driving to it.

Typical funnel types:

• TOFU (Top of Funnel) — Awareness, lead magnets, quizzes, free content
• BOFU (Bottom of Funnel) — Direct offer, application, purchase

4. Identify Strategy Patterns

Look for:

• Credibility stacking (logos, credentials, social proof)
• Price anchoring
• Native creative (ads that don't look like ads)
• Identity-driven copy
• Testing patterns (variants of same creative)

Output Format

Generate a self-contained HTML report using the template structure below.

Report Structure

1. Header
   - Advertiser name
   - Stats (# ads, # funnels, date)

2. Strategy Overview (TOP)
   - High-level acquisition strategy
   - Funnel flow visualization
   - Creative testing patterns
   - Key takeaways (actionable insights)

3. Funnel Sections (one per landing page)
   - Funnel header (name, URL)
   - Landing page card (screenshot + analysis)
   - Ad cards grid (media + analysis for each)
   
4. Footer
   - Source attribution
   - Date generated

Styling Guidelines

• Clean, doc-like design — white background, simple typography
• No dark gradients or heavy styling — should feel like a PDF/Notion doc
• Inline media — videos and images embedded and playable
• Mobile-friendly — responsive grid for ad cards
• Badges for quick scanning — TOFU/BOFU, Video/Image, Variant, Top performer, Aspect ratio (1:1, 4:5, 9:16)

Ad Card Format

Each ad card should display:

[Media: video/image]
[Badges: Type | Funnel Stage | Aspect Ratio | Duration (if video)]
[Title]
[Analysis fields: Hook, Script, Emotion, Strengths, Gaps]

Include aspect ratio badge on every ad card so patterns are visible at a glance (e.g., "all TOFU ads are 4:5, BOFU ads are 1:1").

See templates/report-template.html for the full HTML/CSS template.

Delivery

1. Generate HTML file in the assets folder:

   ~/clawd/output/meta-ads/{advertiser-slug}/{slug}-analysis.html
   

2. Zip the entire folder (HTML + all media assets)

3. Send via Telegram with caption explaining contents

Important: The HTML uses relative paths to media files. Always deliver as a zip so the recipient can open it locally with all assets.

Output contract + VERIFY

Produces:

• {slug}-analysis.html — self-contained report (Strategy Overview + one funnel section per landing page + an ad card per creative, with inline playable media).
• A zip of the asset folder (HTML + all media), delivered with a caption.

VERIFY before claiming done (R-RUBRIC, L4):

1. Coverage — every video/image/landing screenshot in the assets folder has a card in the HTML (count assets vs cards; none silently dropped).
2. Media resolves — open the HTML, confirm every <video>/<img> loads via its relative path (no broken links) so the zip works offline.
3. Badges present — every ad card shows Type, Funnel Stage, Aspect Ratio (+ Duration for video), so cross-creative patterns are scannable.
4. Zip integrity — unzip -l lists the HTML + every referenced media file.

Guardrails (evidence, no hallucination, scope)

• Evidence or it didn't happen (R-CITE): every hook/script/emotion/CTA claim must be grounded in the actual asset — the exact line read, the exact frame/timestamp watched, the real destination URL. No claim from the advertiser name or a guess.
• No invented assets: analyze only what /meta_ads_extractor produced. If an expected asset is missing, note the gap — never fabricate a creative or a metric.
• No fake numbers: never invent spend, CTR, or performance figures Meta's Ad Library doesn't expose. "Top performer" badges are inferred patterns, labeled as inference.
• Scope discipline: analyze this advertiser's extracted set only; don't expand to other advertisers or re-extract. To pull more assets, hand back to /meta_ads_extractor.

Example Workflow

User: Analyze the EricPartaker ads we extracted

1. Read assets folder: ~/clawd/output/meta-ads/ericpartaker/
2. Analyze each video with Gemini / image with vision
3. Analyze landing page screenshots
4. Map ads to landing pages (identify 3 funnels)
5. Identify strategy patterns
6. Generate HTML report
7. Zip folder
8. Send to user

Integration

This skill is designed to follow /meta_ads_extractor:

/meta_ads_extractor → downloads assets
/meta_ads_analyser → generates strategy report

Can also integrate with:

• ad-creative-analysis — detailed individual ad breakdowns
• landing-page-analysis — deeper landing page audits