Answer 1
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 2
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 3
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 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: 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 6
In terms of the lowest-cost path: Strategy 4: Answer Engine Optimization (AEO)
The thesis: be the source AI cites. Old SEO (30,000-word blog posts, backlink building, keyword stuffing) is declining; zero-click searches growing. AEO in 2026 = SEO in 2010. First movers will own niches for years. Goal: get cited by ChatGPT and Perplexity via structured direct answers, FAQ format, schema markup, comparison tables that AI can parse. Evidence: Peter Levels' AI referrals jumped from 4% to 20% in one month. Expected to keep increasing across e-commerce, SaaS, apps. Playbook (start this week): 1. Google the top 20 questions your customer asks 2. Write defin…
Source: src/lib/bricks/sources/greg-isenberg-bootstrap-distribution.md
Answer 7
In terms of the lowest-cost path: Cross-cutting takeaways most relevant to BizBuilder (solo founders / vibe-coders seeking first traction)
1. Start with one small, dense atomic network — **never a Big Bang launch**. The first network always looks like a tiny market. Embrace unscalable, hustle-driven early tactics. 2. **Density beats raw size** ("all supply isn't created equal"). Build the Expectations Gap → exceed low expectations → high NPS → organic word of mouth. 3. **Ignore vanity metrics** — top-line counts mean nothing if users churn; quality is visible only from inside the network. 4. Pick the right entry point — **high economic value per transaction** and/or **high frequency/stickiness**. 5. **Acquisit…
Source: src/lib/bricks/sources/andrew-chen-cold-start-problem.md