campaign-plan
This Claude Code skill generates a comprehensive multi-channel campaign plan that defines strategic objectives, segments target audiences, recommends optimal channels, allocates budget across those channels, establishes a phased execution timeline, and sets measurable KPIs for tracking performance. Use it when you have a campaign goal, product or service to promote, identified target audience, available budget, campaign duration, and any relevant constraints or compliance requirements.
git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro /tmp/campaign-plan && cp -r /tmp/campaign-plan/skills/campaign-plan ~/.claude/skills/campaign-planSKILL.md
# /digital-marketing-pro:campaign-plan
## Purpose
Generate a comprehensive multi-channel campaign plan ready for execution. Covers strategic objectives, audience segmentation, channel selection, budget distribution, phased timeline, and measurable KPIs.
## Input Required
The user must provide (or will be prompted for):
- **Campaign goal**: What the campaign should achieve (awareness, leads, sales, retention, etc.)
- **Product/service**: What is being promoted
- **Target audience**: Who the campaign is for (or use existing brand personas)
- **Budget**: Total available budget or budget range
- **Timeline**: Campaign duration or key dates (launch, event, season)
- **Constraints**: Any channel restrictions, compliance requirements, or creative limitations
## Process
1. **Load brand context**: Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`. Apply brand voice, compliance rules for target markets (`skills/context-engine/compliance-rules.md`), and industry context. **Also check for guidelines** at `~/.claude-marketing/brands/{slug}/guidelines/_manifest.json` — if present, load restrictions and relevant category files. Check for custom templates at `~/.claude-marketing/brands/{slug}/templates/`. Check for agency SOPs at `~/.claude-marketing/sops/`. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
2. **Load shared planning references (don't re-derive them)**: Consume the campaign-orchestrator reference docs rather than duplicating their frameworks — `skills/campaign-orchestrator/campaign-planning.md` (planning framework), `skills/campaign-orchestrator/channel-strategy.md` (channel selection), `skills/campaign-orchestrator/budget-allocation.md` (budget-split heuristics), `skills/campaign-orchestrator/utm-tracking.md` (UTM naming conventions), and `skills/campaign-orchestrator/abm-strategy.md` (ABM). This skill produces the plan document; `/digital-marketing-pro:campaign-orchestrator` runs the broader multi-agent orchestration on top of the same references.
3. Clarify campaign objective and classify as awareness, consideration, or conversion
4. Define primary and secondary audience segments with targeting parameters
5. Recommend channel mix based on audience behavior, budget, and objective
6. Allocate budget across channels using expected CPM/CPC benchmarks for the industry
7. Build a phased timeline: pre-launch, launch, sustain, optimize, wrap-up
8. Define KPIs per channel and overall campaign success metrics
9. Identify dependencies, risks, and contingency actions
10. Output the full plan in a structured, actionable format
## Output
A structured campaign plan document containing:
- Campaign overview and SMART objectives
- Audience segments with targeting criteria
- Channel strategy with rationale for each channel
- Budget allocation table with expected reach/cost estimates
- Phased timeline with milestones and deliverables
- KPI dashboard framework with targets and measurement approach
- Risk register with mitigation strategies
## Agents Used
- **marketing-strategist** — Campaign architecture, audience strategy, objective setting
- **media-buyer** — Channel selection, budget allocation, performance benchmarksDesign a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant (absolute vs relative MDE via sample-size-calculator.py), test duration, guardrail metrics, stopping rules, and go/no-go decision criteria. Triggers on \"/digital-marketing-pro:ab-test-plan\", \"set up an A/B test\", \"how long should my test run\", \"calculate sample size for an experiment\", \"is this test result significant\". Reads the brand profile and past campaign-tracker results to avoid re-testing validated hypotheses; finished tests are evaluated with significance-tester.py by the cro-specialist agent.
Generate 3-5 ad copy variations per platform — headlines, descriptions, and CTAs formatted to Google, Meta, LinkedIn, TikTok, X, and Pinterest specs — each scored 1-10 with policy-compliance flags, A/B testing groupings, and a message-match check against the landing page. Triggers on \"/digital-marketing-pro:ad-creative\", \"write ad copy for Meta\", \"give me RSA headline variations\", \"we need LinkedIn ad copy\", \"draft TikTok ad creative\". Reads the brand profile, guidelines, and compliance rules; routes video ad scripts to /digital-marketing-pro:video-script and gates AI-generated visuals for EU campaigns through /digital-marketing-pro:c2pa-metadata and /digital-marketing-pro:check.
Walk through adding a custom MCP server integration to the plugin — searches npm for an existing MCP package (or scaffolds a custom server from the plugin's guide), generates the exact .mcp.json entry, sets up environment-variable credentials, tests connectivity, and documents the tools the new server exposes. Triggers on \"/digital-marketing-pro:add-integration\", \"connect Ahrefs to the plugin\", \"add a new MCP server\", \"integrate our internal API\", \"hook up Stripe data\". Reads the brand profile and agency credential profiles at ~/.claude-marketing/credentials/ to map client-specific keys; custom builds follow skills/context-engine/custom-mcp-guide.md.
Audit how a brand appears across the 6 canonical AI answer surfaces — ChatGPT, Perplexity, Google AI Mode, AI Overviews, Gemini, Copilot — probing 10-25 queries into a numbered output bundle with per-platform visibility scorecards, citation-accuracy checks, a competitor matrix, content gaps, and an optimization playbook behind a four-gate quality scorecard. Triggers on \"/digital-marketing-pro:aeo-audit\", \"does ChatGPT know about our brand\", \"check our AI search visibility\", \"how does Perplexity describe us\", \"are we showing up in AI Overviews\". Reads the brand profile; reconciles probes against GSC actuals via /digital-marketing-pro:gsc-ai-performance and defines the AI-visibility scoring standard reused by geo-monitor and share-of-voice.
Strategy module for Answer Engine / Generative Engine Optimization — audits AI visibility, restructures content for citation, runs entity-consistency checks across Knowledge Graph, Wikidata, Wikipedia, Crunchbase, and LinkedIn, and produces JSON-LD schema specs, monitoring frameworks, and a 90-day LLM content strategy. Triggers on \"/digital-marketing-pro:aeo-geo\", \"how do we get cited by AI\", \"optimize for AI Overviews\", \"fix our entity consistency\", \"do we need llms.txt\". Reads the brand profile, compliance rules, and industry benchmarks; its measurement counterpart is /digital-marketing-pro:aeo-audit, with GSC actuals via /digital-marketing-pro:gsc-ai-performance.
Generate a portfolio-level dashboard across ALL client brands — per-client RAG health scores, campaign activity, budget pacing, aggregate KPIs, team utilization, pending approvals, upcoming deadlines, and an alerts panel — built for agency standups and weekly reviews. Triggers on \"/digital-marketing-pro:agency-dashboard\", \"how are all our clients doing\", \"portfolio health check\", \"budget pacing across accounts\", \"which accounts are at risk\". Enumerates every brand under ~/.claude-marketing/brands/ and pulls data via campaign-tracker.py, execution-tracker.py, and team-manager.py; drill into a single client with /digital-marketing-pro:performance-report or /digital-marketing-pro:client-report.
Invoke when the user needs to manage multiple client brands, view portfolio-level dashboards, generate client reports, manage SOPs, switch credential profiles, assign team tasks, configure regions, or generate executive summaries. Triggers on requests involving multi-client management, agency workflows, client onboarding, or portfolio oversight.
Invoke when the user needs help with marketing measurement, KPI definition, dashboard design, attribution reporting, performance analysis, competitive benchmarking, or translating data into marketing decisions. Triggers on requests involving metrics, reporting, analytics setup, or data interpretation.