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: 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 4
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 5
In terms of the lowest-cost path: The Core Bottleneck (Strategic Framing)
The constraint in ad optimization is not data or ideas. It is **human decision speed and accuracy**. Humans can't: hold full context constantly, spot signals fast, make hundreds of fatigue-free micro-decisions daily, or do it consistently. Every pain in perf marketing is a timing failure: signal spotted late, bad creative killed late, good creative scaled late, hypothesis tested too slowly, budget reallocated after the window closed. **Solution architecture**: Remove humans from the micro-decision chain. Agents get speed, frequency, precision, and tirelessness. Humans shif…
Source: src/lib/bricks/sources/perf-marketing-playbook.md
Answer 6
In terms of the lowest-cost path: B021 — Auto-upload creatives to Meta, set budget/targeting, launch campaigns, pause los
Auto-upload creatives to Meta, set budget/targeting, launch campaigns, pause losers, scale winners. **Tool candidates:** T070 Meta Marketing API. **Cold start:** multi-week business verification.
Source: _reference/bricks/README.md
Answer 7
In terms of the lowest-cost path: Atlassian — Guerrilla marketing
Guerrilla marketing — Conference beer ($3K vs $20-50K booth) + branded t-shirts only with premium tiers — 300 customers Y1, 1000+ Y2 — Targeted developers as Trojan horse for enterprise expansion
Source: src/lib/bricks/sources/first1000-pmf-patterns-library.md