cross-channel-logic
OfficialOrchestrate multi-channel acquisition journeys
AuthorDojoCodingLabs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Fragmented channel execution and poor attribution cause wasted ad spend, unclear ROI, and missed conversion opportunities by failing to coordinate touchpoints across paid search, social, email, and organic channels.
Core Features & Use Cases
- Channel sequencing templates for content-led, paid-first, community-led, and TikTok-first funnels tailored to budget and business type.
- Attribution guidance covering first-touch, last-touch, last non-direct, linear, time-decay, and data-driven models with implementation notes for PostHog and Google.
- Retargeting chains and audience architecture including tiered audiences, Meta custom audiences, Google remarketing lists, lookalikes, upload rules, and frequency capping strategies.
- UTM and naming conventions, budget allocation heuristics by stage, and creative cascade guidance for reusing winners across platforms.
- Use case: Plan a DTC funnel that uses TikTok discovery to build audiences, Meta retargeting to convert, and Google search to capture branded intent with corresponding UTM and audience rules.
Quick Start
Plan a cross-channel GTM sequence that starts with TikTok discovery, retargets on Meta within 24 hours, and captures intent via Google search for a DTC product with a $10,000 monthly ad budget.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: cross-channel-logic Download link: https://github.com/DojoCodingLabs/GTM-Engineering-Command-Center/archive/main.zip#cross-channel-logic Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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