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performance-analytics

Extract and analyze multi-channel marketing performance data for dashboards and reports.

Updated Aug 23, 2026
Search Tags:#dashboards#marketing#metrics#multi-channel#forecasting#attribution#analyze
One-click install
npx skills add https://github.com/kortix-ai/computer --skill performance-analytics-kortix-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-analytics
Source: https://github.com/kortix-ai/computer/tree/main/packages/kortix-opencode/skills/GENERAL-KNOWLEDGE-WORKER/performance-analytics
Command: npx skills add https://github.com/kortix-ai/computer --skill performance-analytics-kortix-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Marketing teams often struggle to measure and optimize performance across multiple channels and campaigns in a unified way.

Core Features & Use Cases

  • Metrics catalog for marketing channels (Email, Social, Paid, SEO) and common benchmarks.
  • Dashboards, trend analysis, and forecasting to inform decisions and optimize spend.
  • Use Case: A team reviews weekly reports and identifies underperforming channels, then reallocates budget and refines messaging.

Quick Start

Connect your data sources and generate a cross-channel performance report using the included metrics.

Frequently Asked Questions about performance-analytics

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

FAQPage Schema
How do I measure multi-channel marketing performance across email, social, paid, and SEO?▼

Multi-channel marketing performance is measured by extracting cross-channel data to analyze delivery rates, open rates, CTR, and ROAS. This enables unified benchmarking, trend analysis, and optimization recommendations across email, social, paid, and SEO campaigns.

What is the best way to build marketing dashboards for cross-channel campaign analysis?▼

Building marketing dashboards involves generating cross-channel performance reports using a standardized metrics catalog. This approach centralizes your campaign data to inform decisions, identify underperforming channels, and optimize spend.

Can I do attribution modeling and forecasting for my marketing campaigns?▼

Attribution modeling basics and forecasting are supported to inform marketing decisions and optimize spend. These features help you analyze trend data across channels and predict future campaign performance.

How do I analyze underperforming marketing channels and reallocate my budget?▼

Analyzing underperforming channels requires reviewing weekly cross-channel reports to identify delivery and ROAS benchmarks. Once identified, you can reallocate budget and refine messaging to optimize overall marketing performance.

What metrics are included in a standard marketing performance catalog?▼

A standard marketing performance metrics catalog includes delivery rates, open rates, CTR, and ROAS. These metrics provide common benchmarks for evaluating campaign effectiveness across email, social, paid, and SEO channels.

Do I need to connect specific data sources to generate a cross-channel performance report?▼

Connecting your data sources is required to generate a cross-channel performance report. This connection extracts the marketing data needed to populate dashboards, analyze trends, and provide optimization recommendations.

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