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Pinkycherry
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ads

Plan, optimize, and scale paid advertising campaigns across Google, Meta, LinkedIn, and TikTok.

Updated Aug 2, 2026
Search Tags:#google ads#ppc#retargeting#paid ads#meta ads#linkedin ads#campaign optimization
One-click install
npx skills add https://github.com/Pinkycherry/newbusinessideas3 --skill ads-pinkycherry
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ads
Source: https://github.com/Pinkycherry/newbusinessideas3/tree/main/.claude/skills/ads
Command: npx skills add https://github.com/Pinkycherry/newbusinessideas3 --skill ads-pinkycherry

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Running paid ads without a disciplined operating system leads to wasted budget, junk leads, and premature kill or scale decisions. This Skill provides platform-specific playbooks, kill rules, breakeven math, and campaign structure guidance so every advertising decision is grounded in proven thresholds rather than guesswork. ## Core Features & Use Cases - Platform Playbooks: Operational decision systems for Google Search, Meta (Andromeda era), LinkedIn B2B, and ABM, covering bidding progression, audience sizing, match types, negative keywords, and scaling triggers. - B2B Demand Lifecycle: Budget allocation across Create, Capture, Accelerate, Revive, and Expand stages, with breakeven CPL/CPC math, lead quality scoring (Urgency/Budget/Fit), and offline conversion loop setup. - Retargeting & Creative Strategy: Funnel-based retargeting windows, the 4-component retargeting framework, headline-mirroring for landing pages, and ad copy formulas (PAS, BAB, Social Proof Lead). - Use Case: A B2B SaaS team spending $15k/month asks whether to kill an ad set. The Skill loads the relevant playbook, applies the 2-3x target CPL kill rule, checks lead quality scores, and recommends a staged replacement before pausing. ## Quick Start Ask the assistant to review your paid ads account and recommend which campaigns to kill, keep, or scale based on your target CPA and budget.

Frequently Asked Questions about ads

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure Google Ads campaigns for B2B?▼

Split campaigns into Brand, high-intent non-brand, Competitor, and Remarketing, each with independent budgets so brand terms don't starve the others. Use themed ad groups of 5-15 closely related keywords, start with Phrase and Exact match, and only introduce Broad after 30+ monthly conversions with smart bidding and a tight negative list.

When should I kill an underperforming ad?▼

Apply two rules: pause new ads that spend 2-3x your target CPL with zero conversions, and pause established ads whose CPL runs 1.5-2x over target. Never pause a producer without a replacement staged, and derive your target CPL from deal size times close rate rather than platform benchmarks.

Should I use broad targeting or interest stacking on Meta?▼

In the Andromeda era, broad targeting with specific creative typically outperforms interest stacking. Put audience knowledge into the creative itself using identity-trigger keywords in headlines, run high creative volume including statics, and let the algorithm match variants to segments.

How do I improve B2B lead quality from paid ads?▼

Close the offline conversion loop by pushing CRM stage changes back to ad platforms via GCLID import, Meta CAPI, or LinkedIn Conversions API so algorithms optimize for pipeline instead of form-fills. Score leads on Urgency, Budget, and Fit, then rank ads by average quality score rather than CPL.

What audience size does LinkedIn need to deliver ads?▼

Cold prospecting campaigns need 50K-300K members with a 15K minimum; audiences that are too narrow spike CPMs and stall delivery entirely. Retargeting segments work at 1K-5K, and ABM lists need at least 300 matched members, though 1,000+ rows is recommended.

When is TikTok advertising a bad fit for B2B?▼

TikTok skews 18-34 and favors native video creative, making it weaker for high-intent B2B categories like accounting software where search capture works better. If testing it, run a small budget experiment rather than reallocating from proven Google or Meta campaigns.

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