Search Arbitrage Intel

Reverse-engineering клієнтів Client Alpha і Client Beta + готовий playbook для нашого власного search arb запуску. На основі $396K spend, 17K кампаній, 99K ads, ~200K daily insights, 47 scraped landings.


⚡ Quick navigation

🎯 Якщо ти баєр (5 хв)

🔬 Якщо ти оператор / аналітик

🏗️ Якщо ти tech/розробник


📊 Key numbers

МетрикаЗначення
Combined spend$396,804
Total campaigns17,836
Total ads99,411
Daily insights rows~200,000
Verticals identified16
Vertical+keyword combinations119
Search feed wrapper hosts6+ (SearchLabz cluster) + Visymo
Tracker domains used9+
SearchLabz wrapper accounts19
Landings scraped47
Top verticalJobs ($124K)
Top single keywordInvisible Dentures ($18K)

🗺️ Mind map

mindmap
  root((SA Intel))
    Architecture
      Tracker layer
        Cloudflare Workers
        9+ disposable domains
        cf/r/<mongo-id> pattern
      Wrapper SaaS
        SearchLabz<br/>19 accounts<br/>Beta
        Visymo<br/>2 ctid clusters<br/>Alpha
      End feed
        Google AFS RSOC
        pub-7319700424839433<br/>Beta
        pub-4811641726270552<br/>Alpha
      Landing types
        Article + Search<br/>Beta gurusharp
        SearchLabz JS shell
        Domain parking<br/>nkvlljbdn
        Direct loan landing<br/>Cash-Way-Loan
    Verticals
      Jobs $124K
        warehouse_packing $65K
        security_misc $28K
        cleaning $11K
        caregiver_nursing $4K
      Business Education $40K
        MBA programs
        Marketing
        Entrepreneurship
      Dental $31K
        Invisible Dentures
        Modern Dentures
      Tech Electronics $9K
        B2B Software
        SolidWorks
        Phones SMB
      Cosmetic $5.8K
        Hair Transplant
        Skin Laser
      Legal $5.7K
        Pro Bono Lawyers
      Entertainment $7K
        Cinema
    Clients
      Client Beta
        49 accounts
        Bid cap school
        Jobs vertical bias
      Client Alpha
        44 accounts
        ROAS bidding
        Loans/B2B bias
    Implementation
      Naming convention
      Setup 6 adsets x 6 ads
      Bid cap range per GEO
      Pixel rotation 5+
      Predicto policy compliance

🏗️ Architecture flow

flowchart LR
    A[Facebook Ad<br/>OUTCOME_SALES<br/>$0.05-0.30 CPC] --> B[Click Tracker<br/>Cloudflare Worker<br/>cf/r/&lt;mongo-id&gt;]
    B --> C[Landing Page<br/>Article + Search Box<br/>True Audience pixel]
    C --> D[Search Feed<br/>SearchLabz / Visymo<br/>asrsearch / dsr]
    D --> E[Google AFS RSOC<br/>RSOC ad units<br/>Search results]
    E --> F[Advertiser pays Google]
    F --> G[Google → wrapper → us<br/>RPC paid out]
    G -.S2S postback.-> H[Meta Pixel<br/>PURCHASE event<br/>Optional value]
    H --> A

📁 Directory tree

FolderЩо містить
_comparison/Cross-client analysis (READY_TO_CLONE, MASTER_PLAYBOOK, ROAS_SETUP, PER_VERTICAL_DEEP_DIVE)
Client_Alpha/Per-client звіти для Alpha — top winners, performance, keywords, accounts, landings, deep dive
Client_Beta/Те ж саме для Beta

Дані (raw JSONL/JSON, scraped HTML, insights) лежать у kontekst-folders, не показані тут для читабельності — лежать у intel/<client>/data/ і intel/<client>/landings/.


🟢 Beta vs 🔵 Alpha — short version

Client AlphaClient Beta
Spend (analyzed)$191,586$205,218
Wrapper SaaSVisymoSearchLabz
Tracker patternexploreverity.com/dsr?q=...*.com/cf/r/<mongo>
Bidding school74% MIN_ROAS + VALUE optim75% BID_CAP + OFFSITE_CONVERSIONS
Setup shape6 adsets × 6 ads (1 ad/adset)3 adsets × 6 ads (2 ads/adset)
VerticalsLoans, B2B, Cosmetic, MBAJobs, Dental, Legal, Entertainment
GEO biasen/es/pt/de/fr/it (Romance + EN)US/AU/GB/CA/DE + 237 tested
Side biz⚡ Direct payday loan lead-genPure search arb

🔑 Foundation rules (15 спільних)

  1. Google AFS RSOC end search feed
  2. 100% OUTCOME_SALES objective
  3. Pixel event = Purchase
  4. Manual bid cap або MIN_ROAS (НЕ “lowest cost without cap” на основну масу)
  5. OFFSITE_CONVERSIONS або VALUE optimization
  6. Manual targeting — Advantage Audience OFF
  7. Brand safety RELAXED
  8. Auction buying type
  9. IMPRESSIONS billing event
  10. Micro-budgets $10-25/day для testing
  11. Multi-pixel rotation (мін 5)
  12. Mass parallel A/B → kill 95%, scale 5%
  13. ~1 ad = ~1 unique creative (no clones)
  14. Команда 5/2 launching cycle
  15. Launch 9-15 UTC (перед US prime time)

🚫 8 Anti-patterns (НЕ робимо)

  1. ❌ Один pixel у всіх — ban = катастрофа
  2. ❌ Advantage Audience — забираєш control над targeting
  3. ❌ CBO (Campaign Budget Optimization) — тільки ABO
  4. ❌ Meta auto-rules — оператори використовують external софт
  5. ❌ Скейл одного adset надовго — kill+restart
  6. ❌ Запуск без compliance shell на landing — Meta ban risk
  7. ❌ Async insights jobs — видимо у клієнта
  8. ❌ Один tracker domain — мінімум 3

Основа: Read-only Meta Graph API + landing page scraping (47 HTML pages, 100+ unique URLs). Compliance — Predicto policy doc від 11.07.25. Taxonomy — Predicto’s 691-name list (distinct_names_with_cross.csv).