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分类: 营销与增长无需 API Key

managing-marketing-ops

当CRM不可靠或使用不一致时,当潜在客户分配是手动且缓慢时,当营销工具未连接或利用不足时,当没有为可重复的营销流程记录标准操作程序(SOP)时,当营销和销售缺乏共享定义和交接服务水平协议(SLA)时,或者当数据质量下降时。当运营基础设施阻碍了其他营销技能的执行时,请使用此方法。

person作者: jakexiaohubgithub

Marketing Ops & Tech Stack

Overview

Marketing Ops is the operational backbone that makes every other marketing skill run. This skill builds the tech stack, CRM infrastructure, automation workflows, RevOps alignment, and AI agent deployments that turn strategy into repeatable execution.

When to Use

  • CRM is partially configured, inconsistently used, or full of duplicates
  • Lead routing is manual and leads sit for hours or days
  • Marketing, sales, and finance each report different numbers
  • Tools are disconnected with CSV exports and manual data entry
  • No documented SOPs for campaigns or lead management
  • Lead scoring does not exist or reflect actual buyer behavior

Don't use when: CRM is clean and trusted, lead routing is automated under 1-hour SLA, SOPs are documented, and tools are integrated with validated data flows.

Quick Reference

| Phase | Duration | Output | |-------|----------|--------| | Tech stack audit and blueprint | Day 1-5 | Tool inventory, target architecture | | CRM setup and data infrastructure | Day 6-10 | Lifecycle stages, data quality standards | | Automation workflow build | Day 11-18 | Lead routing, nurture, onboarding, reporting | | Integration architecture | Day 19-22 | Integration map, data flow validation | | RevOps alignment | Day 23-25 | Shared definitions, SLAs, feedback loops | | SOPs and AI agent deployment | Day 26-30 | Process docs, AI agent playbook |

Core Deliverables

  • Tech Stack Audit and Blueprint -- Tool inventory plus target architecture
  • CRM and Data Infrastructure -- Lifecycle stages, scoring, data quality
  • Automation Workflows -- Lead routing, nurture, onboarding, reporting
  • Integration Architecture -- Tool connections and data flow validation
  • RevOps Alignment -- Shared definitions, SLAs, feedback loops
  • Marketing SOPs -- Campaign, lead management, reporting checklists
  • AI Agent Playbook -- Routing, reporting, cleanup, personalization agents

Common Mistakes

  • Buying enterprise tools for startup problems
  • Automating a broken process (fix process first)
  • Skipping CRM hygiene (bad data compounds monthly)
  • Integrating everything to everything
  • Letting tools drive process instead of defining process first
  • Teams using different definitions for the same terms
  • Ignoring lead score decay
  • Going live without testing the full lead flow

Integration

Feeds into: Loops back to all skills as operational infrastructure

Refresh: Tech stack audit quarterly. CRM cleanup monthly. Scoring and automation audit quarterly. Integration check monthly. Full ops assessment every 6 months.

See workflow.md for detailed phase-by-phase execution, tech stack blueprints by ARR level, CRM setup checklists, automation workflow diagrams, integration maps, and SOP templates.