roi-calculator
Calculate marketing ROI. Use when: measuring campaign ROAS, CAC, CPL, LTV, or multi-channel attribution returns.
npx skills add indranilbanerjee/digital-marketing-pro --skill roi-calculator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# /digital-marketing-pro:roi-calculator ## Purpose Campaign ROI calculator with multi-touch attribution models. Produces a comprehensive ROI analysis across channels for budget justification, optimization recommendations, and executive reporting. ## Input Required The user must provide (or will be prompted for): - **Campaign spend by channel**: Dollar amounts invested per channel (paid search, paid social, email, SEO, content, events, etc.) - **Conversions and revenue by channel**: Number of conversions and total revenue attributed to each channel - **Time period**: The date range for the analysis (week, month, quarter, year) - **Attribution model preference**: Last-touch, first-touch, linear, time-decay, or position-based (or compare all models) - **Customer LTV**: Optional -- average customer lifetime value for long-term ROI projection - **Industry vertical**: For benchmark comparison context - **Conversion definitions**: What counts as a conversion (purchase, lead, signup, demo request, trial start, etc.) - **Cost inputs beyond ad spend**: Optional -- agency fees, tool costs, creative production costs, team time ## Process 1. **Load brand context**: Read `~/.claude-marketing/bra
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What does the roi-calculator skill do?
Calculate marketing ROI. Use when: measuring campaign ROAS, CAC, CPL, LTV, or multi-channel attribution returns.
How do I install it?
Run `npx skills add indranilbanerjee/digital-marketing-pro --skill roi-calculator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From indranilbanerjee/digital-marketing-pro, a repository with 700 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.