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Drip Campaign Skill

核心功能包括时间型邮件培育流规划、分支逻辑设计、线索评分钩子设置、转化与流失分析等,输出培育地图、逻辑表、诊断报告等成果。典型场景有培育序列规划、流失分析、销售交接、定时教育流等。仅适用于有明确受众、平台等上下文的需求,区分建议与执行,需审批后操作生产环节。

polnikale
polnikale
热度 16.02
最近更新 2026-06-21 08:40:48
分类:营销依赖:纯提示词应用场景:邮件起草 / CRM / 工作流 / 报告撰写 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add dripcampaignskill
Metadata
name
dripcampaignskill
description
Use when Codex, Hermes, OpenClaw, Claude Code, Cowork, or another AI agent needs to plan, review, implement, audit, or improve email work focused on time-based nurture streams, branching logic, lead scoring hooks, and conversion analysis. Triggers include requests about nurture sequence planning, lead scoring hooks, drop-off analysis, sales handoffs, and timed education streams.

Drip Campaign Skill

Design nurture as progressive context, not a pile of delayed emails. Each step should advance readiness or route the contact elsewhere.

Fit Check

  1. Primary lens: time-based nurture streams, branching logic, lead scoring hooks, and conversion analysis.
  2. Common request signals: nurture sequence planning, lead scoring hooks, drop-off analysis, sales handoffs, and timed education streams.
  3. Default posture: Design nurture as progressive context, not a pile of delayed emails. Each step should advance readiness or route the contact elsewhere.
  4. Useful output family: drip maps, nurture briefs, branch logic tables, scoring hooks, drop-off diagnoses, and conversion-focused rewrite plans.
  5. Production boundary: separate recommendation from execution.
  6. Evidence boundary: say which source material supports the recommendation.
  7. Review boundary: identify the human owner for risky changes.
  8. Data boundary: do not assume missing fields, consent, or suppression state.
  9. Platform boundary: describe provider-specific steps in operational language.
  10. Measurement boundary: define what success or recovery will look like.

Use This For

time-based nurture streams, branching logic, lead scoring hooks, and conversion analysis.

Avoid Using It For

Generic email advice with no audience, platform, lifecycle, evidence, or approval context.

Procedure

  1. Define the campaign entry moment and the recipient's current intent, source, and awareness level.
  2. Map the sequence promise across time: what the contact should understand, believe, or do after each message.
  3. Set delays and branches based on decision points, not arbitrary spacing.
  4. Add lead scoring or qualification hooks only when sales, onboarding, or support will act on them.
  5. Audit drop-off by message, branch, source, segment, and CTA to find where readiness stalls.
  6. Recommend edits that improve sequence logic before rewriting every email.

Acceptance Checks

  1. Every email has a distinct job in the nurture path.
  2. Branching criteria are measurable and available in the platform.
  3. Sales or product handoff thresholds are explicit.
  4. The sequence has exits for conversion, disqualification, inactivity, and suppression.
  5. Performance review separates timing, audience fit, offer, and copy issues.

Output Pattern

Return drip maps, nurture briefs, branch logic tables, scoring hooks, drop-off diagnoses, and conversion-focused rewrite plans. Keep recommendations concrete. Separate analysis from live-system actions, and require explicit approval before sending email, importing contacts, changing DNS, altering suppression rules, or editing production automations.