B2B SaaS ABM Campaign

该 Skill 提供 B2B SaaS 的 ABM 活动搭建框架：引导收集 ICP、层级规模、渠道、销售协同、预算与工具信息，定义 Tier 1/2/3、账户筛选标准、各层触达序列、Account Card、周度运营模型与 KPI，并输出 ABM Playbook。

renehdzgtz

热度 25.90

最近更新 2026-05-11 18:01:49

分类：营销依赖：纯提示词应用场景：市场分析 / CRM / 邮件起草 / 社交媒体 ...

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 b2b-saas-abm-campaign

Metadata

name: abm-campaign
description: B2B SaaS Account-Based Marketing (ABM) campaign builder. Use this skill whenever the user wants to plan, design, or execute an ABM strategy or campaign. Trigger for phrases like "ABM campaign", "account-based marketing", "target account list", "named accounts", "personalized outreach at scale", "we want to go after specific accounts", "tiered account strategy", "ABM playbook", "how do we run ABM", "whale accounts", "key accounts", or any request involving a coordinated marketing + sales motion targeting a defined list of accounts.

ABM Campaign Builder — B2B SaaS

Purpose: Design a tiered ABM program that focuses your best resources on accounts most likely to close, expand, and become strategic references.

Step 1: Gather Context

ICP: Ideal accounts? (industry, size, tech stack)
Tier ambition: How many Tier 1 / 2 / 3 accounts?
Channels: Email, LinkedIn, ads, events, direct mail, SDR?
Sales alignment: SDR + AE team aligned on ABM?
Budget: Per tier
Tools: HubSpot, Salesforce, Clay, Apollo, ZoomInfo?

Step 2: Tier Definitions

TIER 1 — Strategic (1:1 personalization)
├── Count: 10-30 accounts | Profile: Perfect ICP + high ACV
├── Investment: Highest — fully custom, high-touch
└── Sales: Dedicated AE, custom business case

TIER 2 — Priority (1:few personalization)
├── Count: 50-200 accounts | Profile: Strong ICP + good ACV
└── Sales: SDR + AE, templated-but-personalized

TIER 3 — Target (1:many, programmatic)
├── Count: 200-1000+ accounts
└── Sales: SDR-led automated sequences

Step 3: Account Selection Criteria

Firmographic fit: Industry, headcount, revenue, geography

Technographic signals:
├── Tools signaling fit / signaling active evaluation
└── Tools that disqualify

Intent signals:
├── Visited pricing/demo page | Searched category keywords
├── Hired for relevant roles | Recent funding / growth event
└── Executive change (new VP/Director in target function)

Step 4: Sequences Per Tier

Tier 1 (12-week, high-touch)

WEEK 1-2: Research + LinkedIn warm-up (no pitch)
WEEK 3-4: Personalized email #1 + custom asset delivered
WEEK 5-6: Multi-thread (champion + secondary contact) + retargeting ads
WEEK 7-8: Industry case study + direct mail
WEEK 9-10: Meeting push — "15 min to share what [similar co] achieved"
WEEK 11-12: Breakup email -> Tier 2 nurture if no response

Tier 2 (8-week)

LinkedIn ads → Email #1 pain → Email #2 + connect → Industry case study → Webinar invite → Social proof → Call + email #4 → Breakup

Tier 3 (6-touch automated)

Intent trigger → Blog/guide → Industry use case → Case study → Demo CTA → Nurture

Step 5: Account Card (Tier 1)

ACCOUNT: [Company Name]
Company: [Size, funding, news, org chart targets]
Pain hypothesis: [Evidence-based problem + resonant outcome]
Our angle: [Hook + proof + personalized CTA]

Contacts:
| Name | Title | LinkedIn | Email | Role in deal |

Step 6: Operating Model

Weekly sync (marketing + SDR + AE):
├── Review moving / stalling / responding accounts
├── Marketing: active ads update, new assets
└── Sales: outreach status, accounts to pause

MQA -> SDR activated | SQA -> AE engaged
Shared dashboard: tier + status + last touch + pipeline

Output Format

# ABM Playbook — [Company Name]

## Tier Definitions & Counts
## Account Selection Criteria
## Tier 1 Account Cards
## Tier 2 List (by vertical)
## Sequences Per Tier
## Operating Model
## KPIs: accounts reached, response rate, meetings, pipeline