v1.0.0 to v1.0.0

---

name: paid-social-strategy

description: >-

B2B paid social strategy — LinkedIn, Meta, TikTok ad platform strategy, audience

building, creative testing, budget allocation. Triggers on: "paid social", "LinkedIn

ads", "social advertising", "paid media strategy", "B2B ads".

license: MIT

compatibility: Claude Code, Cursor, Codex, Hermes, Windsurf, OpenCode, Gemini CLI, Copilot, Zed, VS Code, Goose

metadata:

version: "1.0.0"

author: LeadMagic

category: demand-gen

tags: [demand-gen, paid-social, linkedin-ads, advertising, b2b]

frameworks:

- "B2B Paid Social Framework"

- "LinkedIn Ads Best Practices"

---

# Paid Social Strategy (B2B)

## Overview

Paid social for B2B is fundamentally different from B2C — you're not optimizing

for clicks, you're optimizing for pipeline. LinkedIn is the primary platform,

but Meta retargeting and emerging channels (TikTok for B2B, Reddit ads) are

increasingly viable. This skill covers platform strategy, audience architecture,

creative testing, and pipeline measurement.

## Frameworks Referenced

This skill is grounded in public frameworks and source material relevant to the task:

- **B2B Paid Social Framework.** Use the relevant method or published guidance where it improves the requested deliverable; do not cite it as decoration.

- **LinkedIn Ads Best Practices.** Use the relevant method or published guidance where it improves the requested deliverable; do not cite it as decoration.

## When to Use

- "Launch paid social"

- "LinkedIn ads strategy"

- "B2B advertising plan"

- "Paid media strategy"

## Step-by-Step Process

### Phase 1: Platform Selection

- **LinkedIn:** Primary. Job title + company + industry targeting. Lead gen forms.

Thought leadership ads (document ads). $5-15 CPL typical. Best for $10K+ ACV.

- **Meta (Facebook/Instagram):** Retargeting only for most B2B. Website visitors,

content engagers, video viewers. Lower CPMs, broader audiences.

- **TikTok:** Emerging for B2B. Organic-style creative. Reaching younger

decision-makers. Test with $500 budget before scaling.

- **Reddit:** Community-first. Sponsored posts in relevant subreddits.

Authentic voice required.

- **YouTube:** In-stream ads for product demos, customer stories, thought leadership.

### Phase 2: Audience Architecture

- **Cold audience:** ICP targeting (title, industry, company size). Content/thought

leadership ads. Goal: content engagement, not demo request.

- **Warm audience:** Website visitors (pixel), content engagers, video viewers (50%+).

Case study/social proof ads. Goal: demo/book-a-call.

- **Hot audience:** Pricing page visitors, demo requesters (didn't convert).

Direct offer ads. Goal: convert.

- **Account-based:** Upload target account list, target employees at those companies.

Coordinated ad + outbound motion.

### Phase 3: Creative Strategy

- **Thought leadership:** "The 3 attribution mistakes costing you 40% of pipeline"

→ lead gen form for full guide. Document ad format on LinkedIn.

- **Social proof:** Customer quote + results + logo. Video testimonial > text.

- **Product demo:** 30-60 second product walkthrough, specific use case.

- **Event/webinar:** "Live: How [Company] scaled outbound to $10M pipeline" → registration.

### Phase 4: Budget & Bidding

- Start: $3-5K/month test budget per platform

- Bid strategy: Max delivery for awareness, manual CPC for lead gen

- 80/20 rule: 80% budget on proven campaigns, 20% on tests

- Kill campaigns with CPL > 2x target after 500+ impressions

- Retargeting budget: 15-25% of total

### Phase 5: Pipeline Measurement

Don't measure ads on clicks and CPL. Measure:

- Pipeline generated (opportunities from ad-influenced accounts)

- Pipeline influenced (ads touched account before opportunity created)

- Cost per opportunity (total ad spend / opportunities)

- Cost per closed-won (total ad spend / closed-won deals)

- Ad-influenced pipeline as % of total pipeline

## Output Format

Paid social plan with: platform allocation, audience architecture, creative

briefs, budget model, and pipeline measurement framework.

## Quality Check

Before delivering, verify:

- [ ] All required sections are complete

- [ ] Output matches the user's stated need

- [ ] Named frameworks are cited for key recommendations

- [ ] No vague claims — every recommendation has a specific action

- [ ] Deliverable is ready for operational use, not just conceptual

## Common Pitfalls

1. **Webinar as product demo.** Prospects attend for insights, not a sales pitch. Fix: 80% educational content, 20% product mention. Lead with counterintuitive insights.

2. **One-and-done syndication.** Publishing once and moving on. Fix: one pillar piece → 15+ derivatives across channels over 30 days.

3. **Measuring paid social on clicks.** Clicks and CPL don't equal pipeline. Fix: track pipeline generated and cost per opportunity from each channel.

## Execution Artifacts

This skill includes lightweight artifacts the agent can load on demand:

- `references/framework-notes.md` — named frameworks, citation anchors, and operating assumptions

- `templates/output-template.md` — copy-paste deliverable structure for the user

- `scripts/check-output.py` — local checklist validator for required sections

Use the artifacts when the user asks for an implementation-ready deliverable, a repeatable workflow, or a quality check rather than generic advice.

## Implementation Depth

Use this section when the user asks for a finished asset, not a high-level explanation.

### Diagnostic Questions

1. What is the primary motion: founder-led, sales-led, product-led, partner-led, or lifecycle-led?

2. Which ICP tier is the output for: small business, mid-market, enterprise, or mixed?

3. What proof is available today: customer stories, usage data, third-party validation, screenshots, or none?

4. What system will execute the work: CRM, sequencer, warehouse, support desk, product analytics, or manual workflow?

5. What decision will the user make from this output: launch, prioritize, route, rewrite, score, coach, or measure?

### Framework Application

Map the recommendation explicitly to the named frameworks in this skill:

- B2B Paid Social Framework: apply only the part that directly improves the requested deliverable.

- LinkedIn Ads Best Practices: apply only the part that directly improves the requested deliverable.

- SiriusDecisions — Demand Waterfall: apply only the part that directly improves the requested deliverable.

### Deliverable Standard

A strong output from this skill includes:

- A crisp diagnosis of the current situation

- A recommended path with tradeoffs, not a generic list

- A concrete artifact the user can use immediately: table, script, checklist, scorecard, sequence, dashboard spec, or implementation plan

- A measurement plan with leading and lagging indicators

- Risks and edge cases called out before execution

### Adaptation Rules

- For small business: reduce complexity, shorten time-to-value, and prioritize owner/operator clarity.

- For mid-market: include workflow ownership, handoffs, integrations, and enablement assets.

- For enterprise: include governance, risk, procurement, stakeholder mapping, and proof requirements.

## Related Skills

- campaign-analytics, attribution, content-marketing, landing-pages, ad-creative-strategy