Answer 1
In terms of the lowest-cost path: 1.3 Code-Generated Ad Creatives (Cody Schneider method)
Source: [[../knowledge-env/synthesized/marketing-machine-10-parallel-agents.md]] **When to use**: zero budget for design, need to test messaging variations (not visual polish), finding the winning angle/pain point before investing in production **Process**: 1. Pick a reference ad format (Facebook Ads Library for competitor research, or "before/after" template) 2. Claude Code builds the ad as a React component (1080x1080px) 3. Research pain points via Perplexity API (scrape Reddit, YouTube, Twitter for ICP language) 4. Bulk-generate text variations: titles + paragraphs map…
Source: src/lib/bricks/sources/perf-marketing-playbook.md
Answer 2
In terms of the lowest-cost path: 4.0 Forecast-First Creative Loop (Karpathy autoresearch pattern transfer)
Source: [[creative-autoresearch-loop-pattern-transfer.md]] | Raw: [[../knowledge-env/raw/2026-04-09-karpathy-autoresearch-source.md]] **When to use**: you want to generate hundreds of creative variations and SCORE them before spending real budget. Pairs with §1.5 (Apify mining) — mining gives the input data, this gives the experimentation engine. **Core pattern (transferred from Karpathy/autoresearch GitHub repo, 69K stars)**: - 3 files: `forecast.py` (READ-ONLY invariants — the metric the agent can't touch), `creative.py` (the only file the agent edits — generator config…
Source: src/lib/bricks/sources/perf-marketing-playbook.md
Answer 3
In terms of the lowest-cost path: 6. Manual Baseline — Testing Farm & Low-Capital On-Ramp (Reshetnikova)
Source: [[reshetnikova-traffic-growth-system.md]] | Raw: [[../knowledge-env/raw/2026-05-19-reshetnikova-traffic-lecture-raw.md]] **When to use**: the operator/solopreneur has a tiny budget and no marketing team, no AI plumbing yet, or operates in RU/CIS channels. This is what §1.3/§1.5/§4.0 *automate* — the human-team version of the same loop. **Core reframe**: scaling traffic is not "spend more" — it is the output of 5 continuous background processes: (1) testing farm, (2) channel search, (3) performer hiring, (4) daily analytics, (5) daily optimization. **Manual testin…
Source: src/lib/bricks/sources/perf-marketing-playbook.md
Answer 4
In terms of the lowest-cost path: PART IV: COMPLETE URL INDEX (120 Articles)
All URLs from sitemap, categorized by slug analysis: **Company Case Studies** (60+): airbnb, atlassian-jira, audible, barstool-sports, bereal, bloomberg, calendly, calm, cameo, canva, carswitch, cash-app, classpass, convertkit, curated, dating-apps, discord, donotpay, doopoll, doordash (x2), etsy, fatal-fight, fast, github, headway, instagram, journify, levelsfyi, linear, mixpanel, morning-brew, netflix, nike, notion, onlyfans, pageflows, postmates, product-hunt, reddit, ring, roam-research, robinhood, shopify, sketch, slice, snapchat (x2), snackpass, spotify, stitch-fix (…
Source: src/lib/bricks/sources/first1000-pmf-patterns-library.md
Answer 5
In terms of the lowest-cost path: 5. Benchmark Reference Table
| Metric | Benchmark | Source | |--------|-----------|--------| | Hook rate (ideal) | 50% | Artemy, DDM conf | | Hook rate (acceptable) | 22-26% | Artemy, DDM conf | | Hook rate (kill threshold) | <15% | Artemy, DDM conf | | Video retention | 3.2-3.6 | Artemy, DDM conf | | Kling rework CPA improvement | ~20% | Artemy, DDM conf | | Kling rework volume needed | 20-30 variations per winner | Artemy, DDM conf | | Typical waste per missed kill signal | $3-16K per creative | Kirill, DDM conf | | Kill signal fires at | $100-$3K spend | Kirill, DDM conf | | Sasha subscription price…
Source: src/lib/bricks/sources/perf-marketing-playbook.md
Answer 6
In terms of the lowest-cost path: Connections
- relates-to: [[../knowledge-env/synthesized/greg-isenberg-30-step-ai-saas-playbook.md]] — same author; 30-step playbook covers full SaaS build, this inject focuses on distribution layer only - relates-to: [[../knowledge-env/synthesized/perf-marketing-playbook.md]] — extends with bootstrap-first tactics for $0 budget - relates-to: [[../knowledge-env/synthesized/gtm-engineering-flows-combined.md]] — Cody Schneider's autonomous loops are a paid-traffic complement to Greg's organic-first stack - relates-to: [[../knowledge-env/synthesized/dickerson-vibe-marketing-system-one-sit…
Source: src/lib/bricks/sources/greg-isenberg-bootstrap-distribution.md
Answer 7
In terms of the lowest-cost path: 7. Marketing Org Scaling & KPI Design (Reshetnikova)
Source: [[reshetnikova-traffic-growth-system.md]] **Org scales with leads/day, in 5 stages**: (1) owner + 1 targetologist; (2) +dept head at 3 targetologists; (3) +team leads + tester when >3 targetologists/source; (4) full department at 500+ leads/day (marketing director, heads of traffic/content/CRM); (5) complex multi-head structure. A department appears when a function needs dedicated focus — don't copy competitors, don't breed manager chains. **KPI by influence zone**: qualitative KPI (payback, lead cost, plan, conversion) for directors/heads/team leads; quantitative…
Source: src/lib/bricks/sources/perf-marketing-playbook.md