performance-analytics

Analyze marketing channel metrics and generate performance reports with optimization recommendations.

Updated Jun 16, 2026
One-click install
npx skills add https://github.com/adamtpang/summon.company --skill performance-analytics-adamtpang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-analytics
Source: https://github.com/adamtpang/summon.company/tree/main/packages/skills-catalog/catalog/bundled/marketing/performance-analytics
Command: npx skills add https://github.com/adamtpang/summon.company --skill performance-analytics-adamtpang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Marketing teams struggle to interpret scattered channel metrics, build consistent reports, and decide what to optimize. This Skill provides structured frameworks for measuring, reporting, and improving marketing performance across email, social, paid, SEO, and content channels. ## Core Features & Use Cases - Channel Metric Frameworks: Reference tables of key metrics, definitions, and benchmark ranges for email, social media, paid advertising, SEO, and content marketing. - Reporting Templates: Ready-made structures for weekly reports, monthly stakeholder reports, quarterly business reviews, and dashboard design principles. - Trend Analysis & Attribution: Guidance for identifying trends, building forecasts, and applying attribution models (last-touch, first-touch, linear, position-based, data-driven). - Optimization Framework: A diagnose-hypothesize-test process with funnel-stage levers and an impact/effort prioritization matrix. - Use Case: A marketing manager reviewing a quarterly campaign can use this Skill to benchmark email CTR against industry ranges, build a QBR deck structure, and prioritize which underperforming channels to fix first. ## Quick Start Analyze last quarter's email and paid campaign metrics and produce a monthly performance report with optimization recommendations.

Frequently Asked Questions about performance-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze marketing campaign performance across channels?

Start by comparing each channel's key metrics against benchmark ranges, such as 2-5% CTR for email or 15-30% open rates. Then identify underperforming funnel stages, form hypotheses about causes, and prioritize fixes by impact and effort.

What metrics should a monthly marketing report include?

A monthly report should include an executive summary, a key metrics dashboard with month-over-month and target comparisons, channel-by-channel summaries, campaign highlights, and budget spend versus plan. Lead with metrics tied to business objectives rather than vanity metrics.

Which attribution model should I use for B2B marketing?

Position-based (U-shaped) attribution is a reasonable middle ground for most B2B companies, giving 40% credit to first and last touches. Start with last-touch if you have no model, and compare first-touch versus last-touch to understand awareness versus conversion channels.

What is a good email open rate benchmark?

Typical email open rates fall in the 15-30% range, with click-through rates of 2-5% and unsubscribe rates below 0.5%. Rates outside these ranges signal issues with subject lines, list quality, or content-audience fit.

When should I not trust a marketing performance forecast?

Forecasts based on fewer than 12 data points should be flagged as low confidence, and long-term projections are less reliable than 1-3 month forecasts. External factors like market shifts or competitive moves can invalidate trend-based projections, so always present ranges rather than exact numbers.