# Ad Campaign Optimization > >- - **Type:** Skill - **Install:** `agentstack add skill-terminalskills-skills-ad-campaign-optimization` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [TerminalSkills](https://agentstack.voostack.com/s/terminalskills) - **Installs:** 0 - **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills) - **Latest version:** 0.1.0 - **License:** Apache-2.0 - **Upstream author:** [TerminalSkills](https://github.com/TerminalSkills) - **Source:** https://github.com/TerminalSkills/skills/tree/main/skills/ad-campaign-optimization - **Website:** https://terminalskills.io/ ## Install ```sh agentstack add skill-terminalskills-skills-ad-campaign-optimization ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Ad Campaign Optimization ## Overview Optimize paid advertising across platforms — Google Ads, Meta (Facebook/Instagram), TikTok, LinkedIn, Twitter/X. Improve ROAS, reduce CAC, and scale winning campaigns. ## Instructions ### Campaign structure Organize campaigns by objective, then ad sets by audience, then ads by creative variant: ``` Account ├── Campaign: Prospecting (Cold) │ ├── Ad Set: Lookalike 1% (interest-based seed) │ │ ├── Ad: Video A — problem/solution hook │ │ ├── Ad: Video B — testimonial hook │ │ └── Ad: Static C — benefit-focused │ ├── Ad Set: Interest targeting (competitor audiences) │ │ ├── Ad: Video A │ │ └── Ad: Static D — data-driven hook │ └── Ad Set: Broad targeting (algorithm-optimized) │ ├── Ad: Video A │ └── Ad: Video E — UGC style │ ├── Campaign: Retargeting (Warm) │ ├── Ad Set: Website visitors 7-30 days │ ├── Ad Set: Video viewers 50%+ (14 days) │ └── Ad Set: Cart abandoners (7 days) │ └── Campaign: Retention (Existing customers) ├── Ad Set: Upsell (purchased product A) └── Ad Set: Win-back (inactive 60+ days) ``` **Key principles:** - Separate cold, warm, and hot audiences into different campaigns (different budgets, different optimization) - Use Campaign Budget Optimization (CBO) within each campaign - Exclude audiences across campaigns (retarget pool excluded from prospecting) - Keep 3-5 ads per ad set minimum for creative rotation ### Audience strategy **Prospecting (cold):** - Lookalike audiences: Seed from highest-value customers, start with 1% lookalike, expand to 2-5% as you scale - Interest-based: Layer interests with demographics. Instead of "fitness" (too broad), use "fitness AND CrossFit AND 25-44" - Broad targeting: On Meta, broad targeting often outperforms detailed targeting at scale **Retargeting (warm)** — build exclusion-layered audiences: ``` Tier 1 (hottest): Cart/checkout abandoners, 0-7 days Tier 2: Product page viewers, 7-14 days Tier 3: Any website visitor, 14-30 days Tier 4: Video viewers (50%+), 14-30 days Tier 5: Social engagers, 30-60 days Each tier excludes all tiers above it. Tier 1 gets highest bid/budget (closest to conversion). ``` **Lookalike seed quality** (in order): Top 25% LTV customers > Repeat purchasers > All purchasers > Add-to-cart users > High-engagement visitors. Minimum seed: 1,000 users. ### Creative strategy Break winning ads into components: ``` HOOK (first 3 seconds) ├── Pattern interrupt: unexpected visual/sound ├── Curiosity gap: "I tried X for 30 days..." ├── Problem callout: "Tired of [specific pain]?" └── Social proof: "500K people already switched" BODY (next 10-20 seconds) ├── Problem amplification → Solution introduction ├── Proof elements: testimonials, data, demos └── Differentiation: why this, not alternatives CTA (final 3-5 seconds) ├── Direct: "Start your free trial" ├── Urgency or risk reversal └── Social: "Join 50,000 happy customers" ``` **Formats by platform:** - **Meta**: 15-30s vertical video, carousels (3-5 cards), static images, UGC-style - **TikTok**: Native-feeling video, 1-2s hook, text overlays, Spark Ads - **Google**: Search (headline = keyword match + benefit + CTA), Performance Max (diverse assets), YouTube bumpers - **LinkedIn**: Document ads, thought leadership ads, lead gen forms **Creative testing:** - Phase 1: Test 3-5 hooks/angles, $20-50/day each, 3-5 days → winner by CTR and CPA - Phase 2: Test 3-5 variations of winner, $30-75/day, 5-7 days → winner by CPA and ROAS - Phase 3: Scale winners 20-30%/day, refresh at frequency >3.0 ### Bid strategy and budget ``` Awareness: CPM bidding, optimize for reach Consideration: CPC bidding or landing page view optimization Conversion: CPA/ROAS bidding (need 50+ conversions/week) Retention: Value-based bidding (optimize for LTV) ``` Start with 70/20/10 split: 70% prospecting, 20% retargeting, 10% testing. Scale winners by increasing budget 20-30% every 3 days. Meta and Google need 50 conversion events per ad set per week to exit the learning phase. If not hitting this: consolidate ad sets, move optimization event up the funnel, or increase budget. ### Attribution ``` Last-click: Simple but undervalues awareness First-click: Values discovery but ignores nurturing Time-decay: More credit to recent touchpoints Data-driven: ML-based, available at scale (Google, Meta) ``` Cross-platform solutions: UTM parameters (tag every link), incrementality testing (10% holdout), Marketing Mix Modeling (statistical model), post-purchase surveys. ### Performance metrics ``` EFFICIENCY: CPA (3:1), CTR (1-2% Meta, 3-5% Google Search), CPC QUALITY: Conversion rate, bounce rate, frequency (3.0) - Run incrementality tests quarterly to validate platform-reported attribution - Start with proven formats (UGC video, testimonial) before testing experimental creative - Keep at least 3 ads per ad set for rotation and learning ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [TerminalSkills](https://github.com/TerminalSkills) - **Source:** [TerminalSkills/skills](https://github.com/TerminalSkills/skills) - **License:** Apache-2.0 - **Homepage:** https://terminalskills.io/ Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-terminalskills-skills-ad-campaign-optimization - Seller: https://agentstack.voostack.com/s/terminalskills - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.