business/marketing/campaign-planning/SKILL.md
Plan marketing campaigns with objectives, audience segmentation, channel strategy, content calendars, and success metrics. Use when launching a campaign, planning a product launch, building a content calendar, allocating budget across channels, or defining campaign KPIs.
npx skillsauth add harsh040506/claude-code-unified-skill-plugin-library campaign-planningInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Frameworks and guidance for planning, structuring, and executing marketing campaigns.
Every campaign should be built on this five-part framework:
Define what success looks like before planning anything else.
Good objectives are SMART: Specific, Measurable, Achievable, Relevant, Time-bound.
Example: "Generate 200 marketing qualified leads from mid-market SaaS companies in North America within 6 weeks of campaign launch."
Define who you are trying to reach with enough specificity to guide messaging and channel decisions.
Create a brief audience profile (not a full persona) for campaign planning:
"[Role] at [company type] who is struggling with [pain point] and looking for [desired outcome]. They typically discover solutions through [channels] and care most about [priorities]."
Craft the core message and supporting points that will resonate with the audience.
Message hierarchy:
Select channels based on where your audience is, not where you are most comfortable.
See the Channel Selection Guide below for detailed guidance.
Define how you will know the campaign worked. See Success Metrics by Campaign Type below.
| Channel | Best For | Typical Metrics | Effort | |---------|----------|----------------|--------| | Blog/Website | SEO, thought leadership, education | Traffic, time on page, conversions | Medium | | Email | Nurture, retention, announcements | Open rate, CTR, conversions | Low-Medium | | Social (organic) | Awareness, community, brand building | Engagement, reach, follower growth | Medium | | Webinars | Education, lead gen, product demos | Registrations, attendance, pipeline | High | | Podcast | Thought leadership, brand awareness | Downloads, subscriber growth | High |
| Channel | Best For | Typical Metrics | Effort | |---------|----------|----------------|--------| | PR/Media | Awareness, credibility, launches | Coverage, share of voice, referral traffic | High | | Guest content | Audience expansion, SEO, credibility | Referral traffic, backlinks | Medium | | Influencer/Partner | Audience expansion, trust | Reach, engagement, referral conversions | Medium-High | | Community | Awareness, trust, feedback | Mentions, engagement, referral traffic | Medium | | Reviews/Ratings | Credibility, SEO, consideration | Review volume, rating, conversion lift | Low-Medium |
| Channel | Best For | Typical Metrics | Effort | |---------|----------|----------------|--------| | Search ads (SEM) | High-intent lead capture | CPC, CTR, conversion rate, CPA | Medium | | Social ads | Awareness, retargeting, lead gen | CPM, CPC, CTR, CPA, ROAS | Medium | | Display/Programmatic | Awareness, retargeting | Impressions, CPM, view-through conversions | Low-Medium | | Sponsored content | Thought leadership, lead gen | Engagement, leads, cost per lead | Medium | | Events/Sponsorships | Relationship building, brand | Leads, meetings, pipeline influenced | High |
When choosing channels, consider:
A content calendar should answer: what, where, when, who, and why for every piece of content.
| Date | Content Piece | Channel | Audience Segment | Campaign/Theme | Owner | Status | |------|--------------|---------|-------------------|----------------|-------|--------|
A common starting framework (adjust based on goals and historical data):
| Category | Percentage of Budget | Examples | |----------|---------------------|----------| | Paid acquisition | 30-40% | Search ads, social ads, display | | Content production | 20-30% | Blog, video, design, ebooks | | Events and sponsorships | 10-20% | Conferences, webinars, meetups | | Tools and technology | 10-15% | Analytics, automation, CRM | | Testing and experimentation | 5-10% | New channels, A/B tests, pilots |
| Metric | What It Measures | |--------|-----------------| | Reach/Impressions | How many people saw the campaign | | Brand mention volume | Increase in brand conversations | | Share of voice | Your mentions vs. competitors | | Direct traffic | People coming to your site unprompted | | Social follower growth | Audience building |
| Metric | What It Measures | |--------|-----------------| | Total leads | Volume of new contacts | | Marketing qualified leads (MQLs) | Leads meeting quality threshold | | Cost per lead (CPL) | Efficiency of spend | | Lead-to-MQL conversion rate | Quality of leads generated | | Pipeline influenced | Revenue opportunity created |
| Metric | What It Measures | |--------|-----------------| | Signups or trials | Adoption of new product | | Activation rate | Users who complete key first action | | Media coverage | Earned media hits | | Social buzz | Mentions, shares, engagement spike | | Feature adoption | Usage of specific launched features |
| Metric | What It Measures | |--------|-----------------| | Churn rate change | Customer retention improvement | | Engagement rate | Interactions with campaign content | | NPS or CSAT change | Satisfaction improvement | | Upsell/cross-sell revenue | Expansion revenue | | Feature adoption | Usage of promoted features |
| Metric | What It Measures | |--------|-----------------| | Registrations | Interest generated | | Attendance rate | Conversion from registration | | Engagement during event | Questions, polls, chat activity | | Post-event conversions | Leads or pipeline from attendees | | Content repurposing reach | Downstream audience from recordings |
testing
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
tools
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
testing
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
development
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.