agency-ppc-campaign-strategist

Name: agency-ppc-campaign-strategist
Availability: InStock
Author: augustoheiss

Design enterprise-scale paid media account architectures for Google, Microsoft, and Amazon Ads.

Updated Feb 11, 2026

Search Tags:#paid-media #google-ads #ppc #budget-allocation #bidding-strategy #performance-max #campaign-architecture

Ready to run

npx skills add https://github.com/augustoheiss/LogicDefense --skill agency-ppc-campaign-strategist-augustoheiss

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agency-ppc-campaign-strategist
Source: https://github.com/augustoheiss/LogicDefense/tree/main/.gemini/skills/agency-ppc-campaign-strategist
Command: npx skills add https://github.com/augustoheiss/LogicDefense --skill agency-ppc-campaign-strategist-augustoheiss

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides senior-level paid media strategy and execution guidance to design scalable, efficient PPC account architectures and bidding frameworks that turn large monthly ad spend into predictable business outcomes.

Core Features & Use Cases

Account Architecture & Taxonomy: Design campaign/ad group structures, naming conventions, and label systems that scale across portfolios and support MCC-level management.
Bidding & Budgeting: Recommend automated bidding strategies (tCPA, tROAS, Max Conversions/Value), portfolio transitions, budget pacing, and incremental spend testing.
Cross-Platform & Measurement: Plan spend allocation and unified measurement across Google, Microsoft, and Amazon while minimizing cannibalization and optimizing for conversion hierarchy.
Use Case: Rebuild a noisy account into isolated brand/non-brand/conquest campaigns, deploy Performance Max asset groups with signals, optimize shopping feeds, and implement API-driven monitoring and changes.

Quick Start

Audit my Google Ads account and provide a scalable campaign architecture, budget allocation plan, and recommended bidding strategies.

Frequently Asked Questions about agency-ppc-campaign-strategist

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

FAQPage Schema

How do I structure a Google Ads account for enterprise-scale paid media campaigns?▼

Design enterprise-scale paid media account architectures by isolating brand, non-brand, and conquest campaigns. Apply structured campaign taxonomy, naming conventions, and label systems to support MCC-level management and scale across large portfolios.

What is the best way to allocate budget and select bidding strategies for PPC?▼

Select automated bidding strategies like tCPA, tROAS, or Max Conversions/Value based on campaign goals. Implement budget pacing, portfolio transitions, and incremental spend testing to turn large monthly ad spend into predictable business outcomes.

How do I optimize Performance Max asset groups and shopping feeds?▼

Optimize Performance Max campaigns by configuring asset groups with specific signals and refining shopping feeds. This ensures cross-platform spend allocation minimizes cannibalization while optimizing for the correct conversion hierarchy.

Can I integrate Ads APIs for live metric pulls and structural changes in my PPC campaigns?▼

Yes, implement API-driven monitoring and structural changes by integrating with Google Ads, Microsoft Advertising, and Amazon Ads APIs. This enables live metric pulls and automated structural adjustments across cross-platform measurement frameworks.

When do I need to rebuild a noisy PPC account into isolated campaigns?▼

Rebuild noisy accounts into isolated brand, non-brand, and conquest campaigns when performance becomes unpredictable. Deploying targeted Performance Max asset groups and structured bidding frameworks restores scalable and efficient PPC outcomes.

Does this PPC strategy approach work across Microsoft Advertising and Amazon Ads?▼

Yes, apply this strategy across Google Ads, Microsoft Advertising, and Amazon Ads for new builds and restructures. It plans unified spend allocation and measurement while minimizing platform cannibalization and optimizing conversion hierarchy.