Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Ad-Superpowers/ad-superpowers-plugin --skill ecommerce-funnel-optimizergit clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/ecommerce-funnel-optimizer)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/ecommerce-funnel-optimizer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/ecommerce-funnel-optimizer.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00106 | $0.04549 |
| Opus 5 | $0.00053 | $0.02275 |
| Sonnet 5 | $0.00021 | $0.00910 |
| Haiku 4.5 | $0.00011 | $0.00455 |
Grade A, and why
ecommerce-funnel-optimizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 420 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E-Commerce Funnel Optimizer
Purpose
Guide advertisers through building, analyzing, and optimizing a full-funnel e-commerce advertising strategy across multiple platforms. Move from single-channel ROAS chasing to a system where each platform and campaign tier has a defined role, target, and measurement approach.
When to Use This Skill
Invoke when user mentions:
- Funnel design: "How do I structure my e-commerce funnel?"
- Retargeting: "What retargeting windows should I use?"
- Catalog Ads: "How do I set up Advantage+ Catalog Ads / dynamic product ads?"
- ROAS targets: "What ROAS should I target for prospecting vs retargeting?"
- Cart abandonment: "How do I recover abandoned carts with ads?"
- Product-level analysis: "Which products should I push in ads?"
- Seasonal strategy: "How do I adjust my funnel for Black Friday / Q4?"
- AOV optimization: "How do I increase average order value through ads?"
Part 1: Full Funnel Architecture
The E-Commerce Ad Funnel
STAGE 1: DISCOVERY (Top of Funnel)
│ Goal: Introduce products to new audiences
│ Platforms: TikTok, Meta (Broad/Lookalike), YouTube
│ KPIs: CPM, Reach, Thumbstop Rate, CTR
│ Budget: 30-40% of total
│
STAGE 2: CONSIDERATION (Middle of Funnel)
│ Goal: Educate, build desire, showcase product range
│ Platforms: Meta (Interest/Engagement), Google Shopping, Pinterest
│ KPIs: CTR, Add to Cart Rate, Cost per Add to Cart
│ Budget: 15-25% of total
│
STAGE 3: CART & PURCHASE (Bottom of Funnel)
│ Goal: Convert intent into transactions
│ Platforms: Google Search (Brand + Product), Meta Advantage+ Catalog Ads, Google Shopping
│ KPIs: ROAS, CPA, Conversion Rate
│ Budget: 25-35% of total
│
STAGE 4: RETENTION & UPSELL (Post-Purchase)
│ Goal: Repeat purchases, cross-sell, increase LTV
│ Platforms: Meta Custom Audiences, Google RLSA, Email
│ KPIs: Repeat Purchase Rate, LTV, ROAS on existing customers
│ Budget: 10-15% of total
Platform Roles in the Funnel
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 420 lines · 106 tokens per session scan A b90189338f8e
ecommerce-funnel-optimizer is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 9d ago), licensed MIT. It adds 106 tokens to every session and 4,549 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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