# Build an Influencer Campaign Plan

Influencer campaigns often lack aligned objectives, budgets, timelines, and measurement plans. This skill turns campaign inputs into a structured strategy and execution blueprint.

## Install

```bash
npx skillstore add aaron-he-zhu/campaign-planner
```

## Metadata

- Status: approved
- Slug: aaron-he-zhu-campaign-planner
- Version: 17.0.0
- Author version: 17.0.0
- Skillstore revision: r2
- Version status: valid
- Tree hash: a3598a91d53db5428242fcf69610dc0a7cac64ac645b6951f8b2121ca10751a4
- Author: aaron-he-zhu
- GitHub username: aaron-he-zhu
- License: Apache-2.0
- Repository: https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/influencer/plan/campaign-planner
- Ref: 9e952417e76879bc9d853e1b8b2cd6d6d8d4a1c2
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, filesystem, network
- Quality score: 69
- Public page: https://skillstore.pages.dev/skills/aaron-he-zhu-campaign-planner
- Manifest: https://skillstore.pages.dev/api/skills/aaron-he-zhu-campaign-planner/manifest

## Capabilities

- Converts brand, audience, budget, timeline, and constraints into a structured campaign brief.
- Defines SMART objectives with measurable targets and explicit success and failure criteria.
- Recommends creator tiers, partner models, platform roles, deliverables, and selection criteria.
- Builds a four-phase timeline covering selection, production, activation, and reporting.
- Allocates budgets and defines KPI targets, attribution methods, reporting cadence, and risk controls.

## Use Cases

- Plan a Product Launch: Create the creator channel plan for a launch with tier allocation, deliverables, budget, milestones, and conversion tracking.
- Design a Seasonal Activation: Build a multi-platform campaign around a seasonal event with clear content themes, approval dates, and performance targets.
- Restructure an Underperforming Program: Use past results to revise the creator mix, platform allocation, cost targets, reporting cadence, and failure thresholds.

## Prompt Templates

### Create a Basic Campaign

```
Plan an influencer campaign for [product] targeting [audience] on [platform]. Use a budget of [amount] from [start date] to [end date].
```

### Plan a Seasonal Activation

```
Create a seasonal creator campaign for [brand] around [event]. Define objectives, platform roles, creator tiers, deliverables, timeline, budget, and KPIs.
```

### Improve Campaign Performance

```
Redesign this underperforming campaign using these results: [results]. Preserve [constraints] and improve [priority metrics] within a budget of [amount].
```

### Build an Approval-Ready Blueprint

```
Create a complete nine-section campaign plan for [brand]. Include assumptions, benchmarks, budget efficiency, attribution, approvals, failure criteria, risks, and handoff actions.
```

## Limitations

- It relies on user inputs unless optional data connectors are available.
- It does not discover, contact, or verify individual creators.
- Benchmarks and forecasts depend on supplied historical data and market context.
- It does not create creator briefs, negotiate contracts, publish content, or run campaigns.

## Best Practices

- Provide the audience, budget, dates, campaign objective, platforms, and approval constraints before planning.
- Supply past campaign results and internal benchmarks when setting targets or forecasting efficiency.
- Review assumptions, creator exclusions, legal disclosures, and memory destinations before approving the plan.

## Anti Patterns

- Do not request a complete plan without a budget, timeframe, audience, or measurable objective.
- Do not treat follower count as sufficient evidence of creator quality or audience fit.
- Do not use projected results as guarantees or leave approval, disclosure, and attribution responsibilities undefined.

## Security Audit

- Audited at: 2026-07-23T04:41:19.578\+00:00
- Summary: All 35 static findings are false positives caused by Markdown links, code fences, inline labels, ordinary marketing terms, and GitHub metadata. The skill does direct the agent to persist campaign details in memory files and a shared hot cache, creating a separate confidentiality risk for sensitive launch plans.

## Stats

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- Downloads: 4
- Favorites: 0
- Popularity score: 0