Plan Paid Media
Plan, diagnose, and optimize paid media across Baidu, 360 Search, Microsoft Advertising, Douyin, Xiaohongshu, WeChat Channels, search, short video, creators, live commerce, and multi-platform funnels. Use for 投放方案, SEM, 账户搭建, 冷启动, 素材测试, 出价, 定向, 预算, ROI, 直播投流, or paid-media reviews.
Install
$ agentstack add skill-shenyuannext-wepr-growth-skills-plan-paid-media ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Plan Paid Media
Treat media buying as a system connecting market demand, audience, creative, bidding, landing experience, product, sales, measurement, and economics.
Workflow
- Confirm product, price, margin, sales cycle, refund risk, LTV, capacity, and target action.
- Define valid lead/order criteria and the maximum sustainable CPL, CPA, and CAC from business economics.
- Assign each platform a role in discovery, trust, active-demand capture, conversion, or retention.
- Verify current platform eligibility, product names, targeting, measurement, and policy in official documentation.
- Design account structure by business objective. Keep conversion goals and variables interpretable.
- Implement tracking and CRM feedback before launch.
- Test distinct audience, intent, creative, offer, and landing-page hypotheses with controlled variables.
- Diagnose in order: delivery → click → conversion → valid lead → sale → margin/retention.
- Scale gradually while monitoring marginal cost, quality, refunds, fatigue, and operational capacity.
- Record decisions, results, and reusable learning in a weekly/monthly review.
Platform roles
- Search: capture explicit intent through query structure, match type, negatives, ad relevance, and landing-page continuity.
- Douyin: create and harvest interest through native creative, short video, live content, conversion events, and sales feedback.
- Xiaohongshu: build trust and search demand through useful native content, creators, paid amplification, and search capture.
- WeChat Channels: connect content, live streaming, official accounts, mini-programs, WeCom, and customer operations when the business can sustain that ecosystem.
Guardrails
Do not treat fixed algorithm weights, traffic-pool thresholds, audience percentages, benchmark costs, or learning periods as platform facts without current official evidence. Never promise ROI multiplication or guaranteed low-cost scale. Do not fabricate reviews, chats, orders, social proof, or engagement, and do not use forced sharing or policy evasion.
Read [references/operations.md](references/operations.md) for launch and optimization checklists. Read [references/strategy-insights.md](references/strategy-insights.md) when reviewing automation, brand/performance roles, audience assets, or budget structure.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ShenyuanNext
- Source: ShenyuanNext/wepr-growth-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.