marketing-operations

Define lead stages, dual-axis scoring, routing, and handoff SLAs for B2B marketing operations.

40|18|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/NEON-Rutger/B2B-revops-skills --skill marketing-operations-neon-rutger
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: marketing-operations
Source: https://github.com/NEON-Rutger/B2B-revops-skills/tree/main/marketing-operations
Command: npx skills add https://github.com/NEON-Rutger/B2B-revops-skills --skill marketing-operations-neon-rutger

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Marketing operations struggles to define MQL/lead stages consistently, score leads accurately, and attribute pipeline/revenue to campaigns—causing misalignment with sales and unreliable reporting.

Core Features & Use Cases

  • Dual-axis lead scoring: Separates ICP fit from engagement to prevent routing the wrong leads at the wrong time (and enables T1/T2/T3 tiers).
  • Marketing-to-sales handoff SLAs: Defines acceptance/rejection reasons, speed-to-lead targets, and feedback loops to continuously fix scoring and routing.
  • Attribution modeling + UTM governance: Implements W-shaped attribution, differentiates sourced vs influenced pipeline, and enforces a usable UTM taxonomy to reduce “dark funnel” gaps.
  • Campaign and inbound operations: Builds campaign taxonomies, campaign-to-revenue dashboards, channel mix guidance, and an end-to-end inbound process from first touch to SQL.

Quick Start

Use this skill to design a dual-axis MQL scoring model with a full marketing-to-sales SLA and a W-shaped attribution setup for your HubSpot-to-CRM workflow.

Frequently Asked Questions about marketing-operations

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

FAQPage Schema
How do I build a dual-axis lead scoring model to improve MQL to SQL conversion?

Dual-axis lead scoring separates ICP fit from engagement to prevent routing wrong leads at wrong times. You define measurable fit and engagement criteria, enabling T1/T2/T3 tier categorization and structured rejection feedback loops to continuously fix routing.

What is W-shaped attribution and how does it differentiate sourced vs influenced pipeline?

W-shaped attribution models campaign revenue by assigning credit across key funnel milestones. It differentiates sourced pipeline, identifying the originating channel, from influenced pipeline, tracking touchpoints that assisted the deal, requiring enforced UTM taxonomy to reduce dark funnel gaps.

How do I set up marketing to sales handoff SLAs for lead routing?

Marketing to sales handoff SLAs define acceptance and rejection reasons, speed-to-lead targets, and feedback loops. Establishing consistent lifecycle definitions and MQL stages ensures measurable criteria for routing and continuously fixes scoring inaccuracies.

Can I use this to enforce UTM taxonomy and build campaign to revenue dashboards?

Yes, you can enforce a usable UTM taxonomy and build campaign to revenue dashboards. It constructs campaign taxonomies, channel mix guidance, and an end-to-end inbound process tracking operations from first touch to SQL for B2B teams.

What is the best way to define lead stages consistently for B2B campaign operations?

Defining lead stages consistently requires structured lifecycle definitions and measurable engagement criteria. This approach builds marketing operations systems by applying dual-axis scoring and routing rules to optimize campaign operations and reporting.

Why does my MQL handoff SLA fail to improve lead quality for sales teams?

MQL handoff SLAs fail without structured rejection categorization and feedback loops to fix scoring. Accurate lead quality requires separating ICP fit from engagement, defining acceptance reasons, and applying W-shaped sourced vs influenced pipeline attribution logic.