SkillsLib.ai

Marketing Analytics Interpreter

Interpret marketing analytics to surface acquisition, engagement, and retention insights

4.1(41 reviews)
100+ downloads
Updated Oct 2026
Verified SafeSecurity VerifiedThis skill was analyzed by our AI security scanner for harmful content including data exfiltration, system manipulation, credential theft, and prompt injection. No threats were detected.

What You Can Do

You can upload marketing analytics exports from Google Analytics 4 or Mixpanel and receive structured analysis of your acquisition funnels, engagement patterns, and retention cohorts. The skill calculates critical metrics like Customer Acquisition Cost (CAC), Lifetime Value (LTV), and Return on Ad Spend (ROAS), performs multi-touch attribution analysis across channels, identifies performance anomalies, and delivers executive-ready insights with prioritized, specific recommendations for optimization.

Features

Acquisition funnel analysis

diagnoses drop-off points and bottlenecks at each conversion stage

Attribution modeling

evaluates first-touch, last-touch, and data-driven attribution across channels

Cohort retention analysis

segments users by acquisition date/source and tracks long-term retention trends

Metric calculations

computes CAC, LTV, ROAS, payback period, and channel efficiency ratios

Anomaly detection

flags unusual patterns in traffic, conversion rates, or user behavior

Channel performance ranking

compares acquisition channels by volume, cost, quality, and ROI

Executive summaries

translates data into narrative insights with clear strategic implications

Actionable recommendations

prioritizes next steps with estimated impact and implementation effort

Example Output

Input: GA4 export showing 45K sessions across organic, paid search, and social with conversion data by source

Output:

  • Acquisition Bottleneck Identified: Paid search converts at 3.2% (target: 4.5%), driven by high bounce rate on landing page variant B. Recommendation: pause variant B, reallocate budget to variant A.
  • Attribution Insight: Last-touch model credits organic with 38% of conversions, but data-driven attribution shows paid search deserves 52% credit (top-of-funnel awareness driver). Budget allocation should shift 15% from display to search.
  • Cohort Alert: Q3 cohorts show 40% week-1 retention vs. 55% for Q4 cohorts. Onboarding change in late October correlates with improvement — systematize that workflow.
  • CAC by Channel: Organic $8, Paid Search $24, Social $31. LTV estimated at $180. Social breakeven point: month 7 (risky). Recommend reducing social spend by 30%.

What's Included

  • SKILL.md: system instructions for analytics interpretation, metric formulas, and attribution frameworks
  • GA4 Data Export Template: standardized structure for uploading raw analytics exports
  • Attribution Model Comparison Worksheet: side-by-side evaluation of first-touch, last-touch, and data-driven models
  • Cohort Retention Checklist: step-by-step guide to identifying cohort segments and tracking retention curves
  • Executive Summary Template: structured format for presenting findings and recommendations to leadership

Who It's For

  • Marketing Managers — balance paid and organic acquisition while optimizing overall CAC and LTV
  • Growth Marketers — identify funnel leaks and test channel-mix hypotheses
  • Performance Marketers — optimize paid acquisition ROI and budget allocation across channels
  • Marketing Directors — present data-driven strategy to stakeholders and board
  • Product Managers — understand user acquisition quality and retention by source for product decisions

Best For

  • Funnel optimization — diagnose and fix conversion drop-off points
  • Attribution analysis — determine true channel contribution and rebalance spend
  • Cohort retention studies — identify user quality differences by acquisition source or date
  • CAC/LTV benchmarking — calculate unit economics by channel and set efficiency targets
  • Anomaly investigation — understand sudden spikes or drops in traffic, conversion, or engagement

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