marketing-analyticslisted

# Marketing Analytics Analyze marketing performance across channels using data from Coupler.io dataflows. This skill guides you through retrieving data, computing key metrics, detecting anomalies, and presenting actionable insights — all in language a marketing manager can act on. ## Step 1: Discover and Select Data Sources Every analysis starts by connecting to the user's data through Coupler.io MCP tools. ### 1a. Discover available dataflows Call `list-dataflows` to see what marketing data the user has connected. Each dataflow represents a data pipeline (e.g., "Google Ads → Claude", "Mailchimp Campaigns", "GA4 Traffic"). ### 1b. Select relevant dataflows with the user The number of available dataflows determines how you present the selection: **Fewer than 5 dataflows:** List them all by name and source type. Ask the user to confirm which ones to include in the analysis. **5–20 dataflows:** Group them by apparent channel or source (the dataflow names usually encode this — "google_ads_campaigns", "mailchimp_weekly", etc.). Present the groups with counts. Let the user select entire groups or individual flows. **More than 20 dataflows:** Do not list them all. Instead, infer which are relevant from the user's request (e.g., "budget allocation" → look for flows with spend/cost columns). Present only the candidates — up to 5–7 — with a one-line rationale for each: ```bash I found 3 dataflows likely relevant to your budget question (out of 24 total): 1. google_ads_camp