performance-marketer

Optimize multi-channel paid advertising campaigns to maximize return on investment.

17|1|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/Adelie-Squad/solosquad --skill performance-marketer-adelie-squad
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-marketer
Source: https://github.com/Adelie-Squad/solosquad/tree/main/agents/specialists/performance-marketer
Command: npx skills add https://github.com/Adelie-Squad/solosquad --skill performance-marketer-adelie-squad

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Paid advertising campaigns often fail to deliver consistent ROI due to poor measurement, weak experimentation, and fragmented attribution across channels. This skill helps plan, execute, and optimize paid campaigns with measurable outcomes and cross-team collaboration.

Core Features & Use Cases

  • Campaign planning & measurement: define objectives, KPIs (ROAS, CAC), attribution, and cross-functional coordination.
  • Channel experimentation & growth: run multi-channel tests, compare creatives and budgets, and drive scalable growth.
  • Conversion optimization: improve landing pages, signup flows, and funnels to lift conversions and retention.

Quick Start

Create a new paid ads experiment targeting a ROAS of 4:1 and CAC under $50, with two channel variants.

Frequently Asked Questions about performance-marketer

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

FAQPage Schema
How do I optimize paid ads to improve ROAS and lower CAC across multiple channels?

To optimize paid ads for better ROAS and lower CAC, define clear KPIs, implement accurate attribution, and run multi-channel tests comparing at least two creative or channel approaches to measure performance. This skill aligns campaign planning with conversion optimization to maximize ROI.

What is the best way to run multi-channel paid ads experiments on Google, Meta, and TikTok?

The best way to run multi-channel paid ads experiments is to establish measurement frameworks first, then test channel variants and creatives simultaneously across Google, Meta, and TikTok to identify scalable growth opportunities while maintaining brand alignment.

How does conversion optimization impact paid advertising ROI and landing page performance?

Conversion optimization improves paid advertising ROI by refining landing pages, signup flows, and funnels to lift conversion rates and retention. This directly reduces CAC and increases ROAS by maximizing the value of existing ad traffic.

Can I use this approach for paid ads planning and budgeting without a dedicated data analyst?

Yes, you can use this approach for campaign planning and budgeting, but it emphasizes cross-functional coordination with data analysts to ensure measurement is properly implemented and attribution is accurately tracked across all channels.

Why does fragmented attribution cause poor ROAS in paid advertising campaigns?

Fragmented attribution causes poor ROAS because it prevents accurate tracking of which channels and creatives drive conversions. This skill solves the problem by defining KPIs upfront and implementing consistent measurement across all paid advertising platforms.

What's needed to set up a paid ads experiment targeting a specific ROAS and CAC goal?

To set up a paid ads experiment targeting specific ROAS and CAC goals, you need defined KPIs, implemented measurement and attribution, at least two channel or creative variants for testing, and alignment with brand guidelines for consistent execution.