/digital-marketing-pro:live-dashboard

Purpose

Create and configure a live Google Looker Studio dashboard connected to the brand's marketing data sources. Auto-selects appropriate metrics, dimensions, and chart types based on the business model (SaaS, eCommerce, B2B, agency). Provides always-current visibility into marketing performance without manual data pulls. Eliminates the need for recurring report generation by giving stakeholders a self-service, real-time view of the metrics that matter most to their business model, with drill-down capability and date range controls built in.

Input Required

The user must provide (or will be prompted for):

• Business model: saas (recurring revenue focus — MRR, churn, activation, expansion), ecommerce (transaction focus — revenue, AOV, conversion rate, product performance), b2b-lead-gen (pipeline focus — MQLs, SQLs, pipeline value, CPL), or agency (multi-client focus — client health scores, utilization, cross-client performance). Determines the default metric set, layout template, and visualization priorities
• Data sources to connect: Which platforms to pull into the dashboard — Google Analytics (traffic, behavior, conversions), Google Ads (paid search performance, spend), Meta Ads (paid social performance, spend), CRM (pipeline, deal data, customer lifecycle), email platform (campaign performance, list health). Multiple sources can be combined into unified views with cross-platform calculated fields
• Primary KPIs to feature: The 3-5 headline metrics to display prominently at the top of the dashboard — e.g., MRR and churn rate for SaaS, revenue and ROAS for eCommerce, SQLs and pipeline value for B2B. These appear as scorecard widgets with trend indicators and target comparisons
• Dashboard audience: executives (high-level scorecards with trend arrows, minimal drill-down, focused on business outcomes), marketing-team (full operational detail with channel breakdowns, campaign-level data, and diagnostic dimensions), or client (branded presentation view with performance against stated objectives, competitive context, and clean visual design)
• Refresh frequency: How often the data should update — real-time (streaming where supported), daily (standard for most use cases), weekly (for executive dashboards with less granular needs). Determines data source caching configuration and extract schedule

Process

1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Extract business model, key metrics, industry vertical, brand colors for dashboard theming, and connected platform credentials. Check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.