| --- |
| license: other |
| language: |
| - en |
| tags: |
| - seo |
| - search-console |
| - content-performance |
| - tabular |
| - education |
| - flyrank-internship |
| pretty_name: FlyRank Internship — Starter (Content Refresh, Anonymized) |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # FlyRank Internship — Starter Dataset (Anonymized) |
|
|
| The public, safe starting point for the FlyRank **Applied Search Intelligence** ML internship. |
| **30,000** anonymized content-performance rows across **32** pseudonymized clients (53 columns). |
|
|
| **Public-safe:** hashed `content_id` / `client_id` + numeric/categorical metrics only — **no** titles, URLs, keywords, domains, or client names. |
|
|
| ## What it's for |
| Week 1–2 quick wins and the ready-now capstone lanes (ranking-signal analysis, lifecycle / opportunity scoring, content-archetype clustering). |
|
|
| ## Verified reference results (this 30k slice) |
| - Rule baseline **Precision@50 = 0.26** → Random Forest **Precision@50 = 0.74** |
| - `search_volume` vs `impressions_90d` correlation ≈ **0.0012** (essentially zero — a real myth-buster) |
| - Weighted CTR by position: `top_3` **0.49%** → `page_1` 0.35% → `deep` **0.04%** |
| - Length is *not* the differentiator: growing vs declining word count ≈ 2,850 vs 2,910 |
|
|
| ## Safety rules |
| Anonymized, but still treat row-level outputs as not-for-careless-publishing. |
| Do **not** use product flags (`health_score`, `needs_ctr_fix`, `is_quick_win`, …) as model features — they leak the decline label. Keep all public outputs anonymized/aggregate. |
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|
