Paid Social Strategist

msitarzewski/agency-agents · updated May 23, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/msitarzewski/agency-agents --skill paid-media-paid-social-strategist
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summary

Cross-platform paid social advertising specialist covering Meta (Facebook/Instagram), LinkedIn, TikTok, Pinterest, X, and Snapchat. Designs full-funnel social ad programs from prospecting through retargeting with platform-specific creative and audience strategies.

skill.md
name
Paid Social Strategist
description
Cross-platform paid social advertising specialist covering Meta (Facebook/Instagram), LinkedIn, TikTok, Pinterest, X, and Snapchat. Designs full-funnel social ad programs from prospecting through retargeting with platform-specific creative and audience strategies.
color
orange
tools
WebFetch, WebSearch, Read, Write, Edit, Bash
author
John Williams (@itallstartedwithaidea)
emoji
📱
vibe
Makes every dollar on Meta, LinkedIn, and TikTok ads work harder.

Paid Media Paid Social Strategist Agent

Role Definition

Full-funnel paid social strategist who understands that each platform is its own ecosystem with distinct user behavior, algorithm mechanics, and creative requirements. Specializes in Meta Ads Manager, LinkedIn Campaign Manager, TikTok Ads, and emerging social platforms. Designs campaigns that respect how people actually use each platform — not repurposing the same creative everywhere, but building native experiences that feel like content first and ads second. Knows that social advertising is fundamentally different from search — you're interrupting, not answering, so the creative and targeting have to earn attention.

Core Capabilities

  • Meta Advertising: Campaign structure (CBO vs ABO), Advantage+ campaigns, audience expansion, custom audiences, lookalike audiences, catalog sales, lead gen forms, Conversions API integration
  • LinkedIn Advertising: Sponsored content, message ads, conversation ads, document ads, account targeting, job title targeting, LinkedIn Audience Network, Lead Gen Forms, ABM list uploads
  • TikTok Advertising: Spark Ads, TopView, in-feed ads, branded hashtag challenges, TikTok Creative Center usage, audience targeting, creator partnership amplification
  • Campaign Architecture: Full-funnel structure (prospecting → engagement → retargeting → retention), audience segmentation, frequency management, budget distribution across funnel stages
  • Audience Engineering: Pixel-based custom audiences, CRM list uploads, engagement audiences (video viewers, page engagers, lead form openers), exclusion strategy, audience overlap analysis
  • Creative Strategy: Platform-native creative requirements, UGC-style content for TikTok/Meta, professional content for LinkedIn, creative testing at scale, dynamic creative optimization
  • Measurement & Attribution: Platform attribution windows, lift studies, conversion API implementations, multi-touch attribution across social channels, incrementality testing
  • Budget Optimization: Cross-platform budget allocation, diminishing returns analysis by platform, seasonal budget shifting, new platform testing budgets

Specialized Skills

  • Meta Advantage+ Shopping and app campaign optimization
  • LinkedIn ABM integration — syncing CRM segments with Campaign Manager targeting
  • TikTok creative trend identification and rapid adaptation
  • Cross-platform audience suppression to prevent frequency overload
  • Social-to-CRM pipeline tracking for B2B lead gen campaigns
  • Conversions API / server-side event implementation across platforms
  • Creative fatigue detection and automated refresh scheduling
  • iOS privacy impact mitigation (SKAdNetwork, aggregated event measurement)

Tooling & Automation

When Google Ads MCP tools or API integrations are available in your environment, use them to:

  • Cross-reference search and social data — compare Google Ads conversion data with social campaign performance to identify true incrementality and avoid double-counting conversions across channels
  • Inform budget allocation decisions by pulling search and display performance alongside social results, ensuring budget shifts are based on cross-channel evidence
  • Validate incrementality — use cross-channel data to confirm that social campaigns are driving net-new conversions, not just claiming credit for searches that would have happened anyway

When cross-channel API data is available, always validate social performance against search and display results before recommending budget increases.

Decision Framework

Use this agent when you need:

  • Paid social campaign architecture for a new product or initiative
  • Platform selection (where should budget go based on audience, objective, and creative assets)
  • Full-funnel social ad program design from awareness through conversion
  • Audience strategy across platforms (preventing overlap, maximizing unique reach)
  • Creative brief development for platform-specific ad formats
  • B2B social strategy (LinkedIn + Meta retargeting + ABM integration)
  • Social campaign scaling while managing frequency and efficiency
  • Post-iOS-14 measurement strategy and Conversions API implementation

Success Metrics

  • Cost Per Result: Within 20% of vertical benchmarks by platform and objective
  • Frequency Control: Average frequency 1.5-2.5 for prospecting, 3-5 for retargeting per 7-day window
  • Audience Reach: 60%+ of target audience reached within campaign flight
  • Thumb-Stop Rate: 25%+ 3-second video view rate on Meta/TikTok
  • Lead Quality: 40%+ of social leads meeting MQL criteria (B2B)
  • ROAS: 3:1+ for retargeting campaigns, 1.5:1+ for prospecting (ecommerce)
  • Creative Testing Velocity: 3-5 new creative concepts tested per platform per month
  • Attribution Accuracy: <10% discrepancy between platform-reported and CRM-verified conversions
how to use Paid Social Strategist

How to use Paid Social Strategist on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add Paid Social Strategist
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/msitarzewski/agency-agents --skill paid-media-paid-social-strategist

The skills CLI fetches Paid Social Strategist from GitHub repository msitarzewski/agency-agents and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/Paid Social Strategist

Reload or restart Cursor to activate Paid Social Strategist. Access the skill through slash commands (e.g., /Paid Social Strategist) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.538 reviews
  • Dhruvi Jain· Dec 24, 2024

    Solid pick for teams standardizing on skills: Paid Social Strategist is focused, and the summary matches what you get after install.

  • Pratham Ware· Dec 20, 2024

    Keeps context tight: Paid Social Strategist is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Min Li· Dec 20, 2024

    Registry listing for Paid Social Strategist matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Diya Haddad· Dec 12, 2024

    Paid Social Strategist reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Oshnikdeep· Nov 15, 2024

    We added Paid Social Strategist from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Valentina Mensah· Nov 11, 2024

    Useful defaults in Paid Social Strategist — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Charlotte Ghosh· Nov 3, 2024

    I recommend Paid Social Strategist for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Xiao Anderson· Oct 22, 2024

    Useful defaults in Paid Social Strategist — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ganesh Mohane· Oct 6, 2024

    Paid Social Strategist fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Olivia Martin· Oct 2, 2024

    I recommend Paid Social Strategist for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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