cross-channel-analytics

Analyze marketing performance across channels using Whatagraph blends and custom metrics.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/whatagraph/whatagraph-skills --skill cross-channel-analytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cross-channel-analytics
Source: https://github.com/whatagraph/whatagraph-skills/tree/main/skills/cross-channel-analytics
Command: npx skills add https://github.com/whatagraph/whatagraph-skills --skill cross-channel-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves the complexity of fragmented marketing data by enabling users to aggregate and compare performance metrics across multiple advertising platforms in a single, unified view.

Core Features & Use Cases

  • Cross-Platform Blending: Combines disparate data sources into virtual sources for holistic reporting.
  • Source Grouping: Aggregates multiple accounts of the same type to simplify agency-level management.
  • Custom Metric Calculation: Supports user-defined formulas like blended ROAS or total spend across channels.
  • Use Case: An analyst needs to compare total spend and conversion efficiency between Google Ads, Meta, and LinkedIn to optimize budget allocation.

Quick Start

Use the cross-channel-analytics skill to list all available blends and fetch performance data for the current month.

Frequently Asked Questions about cross-channel-analytics

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

FAQPage Schema
How do I unify marketing performance data across multiple channels?

Cross-channel analytics unifies fragmented marketing performance data by leveraging Whatagraph blends and source groups to aggregate metrics across multiple advertising platforms into a single view.

What's the best way to compare total spend and conversions across advertising platforms?

Comparing total spend and conversion efficiency across platforms requires cross-platform blending, which combines disparate data sources into virtual sources to facilitate unified budget allocation analysis.

How do I calculate blended ROAS and custom metrics across different ad accounts?

Calculating blended ROAS across different ad accounts requires custom metric calculation, which supports user-defined formulas to compute unified performance indicators across multiple marketing integrations.

Does cross-channel analytics work with source groups for agency-level management?

Cross-channel analytics works with source groups by aggregating multiple accounts of the same type, simplifying agency-level management and cross-platform data comparison for diverse marketing integrations.

Do I need specific tools to list blends and fetch data for cross-platform reporting?

Performing comprehensive cross-channel data aggregation requires access to list-blends, list-source-groups, and fetch-data tools to extract and compare performance metrics across various marketing platforms.