Skip to content

Analytics Workflows

AI-powered workflows for reporting, funnel analysis, event tracking, and first-party data strategy.

Prerequisites

Before starting, ensure you have:

  • Claude Code or OpenCode installed (Quickstart)
  • GA4 BigQuery export access (required for most commands)
  • Client account permissions

Stuck?

Running into issues? Check the Troubleshooting Guide.

Available Commands

/reporting-buddy

Purpose: Generate comprehensive analytics reports for weekly/monthly client updates.

What you get:

  • Executive summary (1-2 paragraphs, "so what")
  • KPI dashboard with status indicators
  • Channel performance breakdown
  • Content/page performance analysis
  • 3-5 actionable recommendations
  • Data notes with sources and caveats

Time: 30-45 minutes (vs. 8-12 hours manual)

Data sources: GA4 (BigQuery export), GSC, Paid Media (Signals)

When to use:

  • Weekly client updates
  • Monthly performance reports
  • QBR preparation

/funnel-analysis

Purpose: Analyze conversion funnels to identify drop-offs and optimization opportunities.

What you get:

  • Visual funnel diagram with percentages
  • Stage-by-stage drop-off analysis
  • Segmented insights (device, source, user type)
  • Bottleneck identification
  • Prioritized optimization recommendations
  • Test hypotheses

Time: 30-45 minutes (vs. 8-10 hours manual)

Data sources: GA4 (BigQuery export)

When to use:

  • Conversion optimization projects
  • User journey analysis
  • Identifying friction points

/event-tracker

Purpose: Monitor GA4 event implementations and detect tracking issues.

What you get:

  • Overall health status (🟢/🟡/🔴)
  • Event inventory (expected vs. actual)
  • Issue detection with severity classification
  • Parameter validation results
  • Specific fix recommendations
  • Monitoring setup guidance

Time: 15-20 minutes (vs. 2-4 hours manual per client)

Data sources: GA4 (BigQuery export), GTM API (optional)

When to use:

  • Regular tracking audits
  • Post-implementation validation
  • Debugging data discrepancies

/first-party-data-audit

Purpose: Generate internal First-Party Data audit document for team review.

What you get:

  • Executive summary with severity breakdown
  • Findings based on 18 deterministic IF/THEN rules
  • Recommendations by workstream (Compliance → Data Foundation → Paid Search → Paid Social)
  • Investment summary ($45k-$135k over 32 weeks typical)
  • Internal review checklist for Team Lead approval

Time: 60-90 minutes (vs. 8-12 hours manual)

Output: Internal team document (NOT client-facing)

Key rules checked:

  • 🔴 CRITICAL: Consent Mode v2, User ID deduplication, Event pipeline variance
  • 🟠 HIGH: Browser deprecation, Missing first-party identifiers
  • 🟡 MEDIUM: Match rates, Enhanced Conversions, Advanced Matching

Skills Used

Analytics workflows automatically load:

Skill Purpose
analytics-methods Reporting frameworks, funnel methodology, GA4 interpretation
first-party-data FPD audit rules and service packages
writing-standards Seer voice and tone
quality-standards QA gates and evidence requirements

Installation

/plugin marketplace add seerinteractive/agents-infra
/plugin install core-dependencies@seer-agent-core
/plugin install analytics@seer-agent-core

Then run:

/analytics:reporting-buddy

Troubleshooting

Common issues:

  1. "Command not found" → See Troubleshooting Guide
  2. "No data found for client" → See Troubleshooting Guide
  3. "Query timeout" → See Troubleshooting Guide