# Meta Ads Analyser > Analyze extracted Meta ad creatives and generate a professional competitive strategy report with inline videos/images grouped by funnel and landing page. Use when user says "/meta_ads_analyser", "analyze ads", "analyse les pubs", "rapport de stratégie pub", "ad strategy report", "review competitor creatives", "analyse créatives concurrentes", or "audit pub Meta". Run /meta_ads_extractor first to extract assets. For the full extraction + analysis pipeline in one command, see /ads_analyst. - Skill: `agentik-os/meta-ads-analyser` (Agent Skill) - Install (CLI): `npx skillmds@latest add agentik-os/meta-ads-analyser` - Raw SKILL.md: https://api.skillmd.com/api/skills/agentik-os/meta-ads-analyser/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: DevOps & Infra - Author: agentik-os (https://skillmd.com/u/agentik-os) - Updated: 2026-09-22 - Page: https://skillmd.com/skills/agentik-os/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:** ```bash # 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:** | Ratio | Use Case | |-------|----------| | 1:1 | Feed (universal) | | 4:5 | Feed (recommended) | | 9:16 | Stories/Reels | | 16:9 | Landscape video | ### 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 `