agentleFS
Frontal-soFrontal-so/outbound-skills/skills/atl-btl-messaging/SKILL.md

atl-btl-messaging

Skill8 starsChanged 4 months agoMITView on GitHub

Above-the-Line (ATL) and Below-the-Line (BTL) messaging framework for targeting executives vs end-users. Use when crafting messages for different seniority levels, deciding message length and tone, or adapting outreach to VPs/C-Level vs Managers/ICs.

2 other projects use a version of this, 2 of them edited.

Adopted by

Most recently taken up by

The file

Files
SKILL.md

ATL vs BTL Messaging Framework

Above-the-Line (ATL) - VPs, C-Level, Directors

Mindset:

  • Think past and future (strategic)
  • Want validation, not problems solved
  • Care about big picture, not daily operations

What They Care About:

  • Revenue impact
  • Risk reduction
  • Strategic initiatives
  • Competitive positioning
  • Board/investor optics

Message Length: 2-3 sentences only

Language to Use:

  • "Strategic initiative"
  • "Revenue impact"
  • "Competitive advantage"
  • "Board-level priority"
  • "Risk mitigation"

Example ATL Email:

Subject: Q1 revenue efficiency

{{firstName}},

If you could identify revenue leakage 3 months faster, what would that mean for next year's targets?

We helped {{similar_company}}'s CEO do exactly that.

15 minutes to explore?

Fatal ATL Mistake: Talking about operational problems = immediate delegation to subordinate


Below-the-Line (BTL) - Managers, ICs, End-Users

Mindset:

  • Think present (tactical)
  • Want problems solved immediately
  • Care about daily workflow

What They Care About:

  • Daily pain points
  • Time savings
  • Workflow improvements
  • Making their job easier
  • Looking good to their boss

Message Length: 3-4 sentences acceptable

Language to Use:

  • "Stop spending 3 hours every week on..."
  • "Eliminate the manual work of..."
  • "Never deal with {{pain}} again"
  • "Save {{X}} hours per week"

Example BTL Email:

Subject: 3 hours back

Hey {{firstName}},

Stop spending 3 hours every week fighting with Excel.

We helped {{similar_company}}'s ops team cut their reporting time by 70%.

Want to see how?

Fatal BTL Mistake: Talking about ROI and strategic impact = doesn't resonate, too abstract


Decision Framework: Who to Target

Target ATL (Executives) When:

  • Deal size > $50K ACV
  • Strategic/transformation purchase
  • Requires budget approval from top
  • Long sales cycle acceptable

Target BTL (End-Users) When:

  • Product-led growth motion
  • User adoption drives expansion
  • Bottom-up sale
  • Need internal champion first

Multi-Thread (Both) When:

  • Complex enterprise sale
  • Multiple stakeholders
  • Both budget holder and user buy-in needed

Combines with

SkillWhy
cold-email-4-sequenceAdjust sequence length for ATL vs BTL
sdr-outbound-rulesApply word count rules by seniority
outbound-triggers-6CXO Passdown for ATL targeting
personalization-6-bucketsChoose bucket by seniority level

Example prompts

Rewrite this email for a CFO (ATL) instead of a Finance Manager (BTL).
Create an ATL email about cost reduction for a VP Operations at a logistics company.
I have a BTL champion - write a BTL email I can ask them to forward to their VP.

Part of Frontal — free, open GTM skills for your AI agent. Browse the library →

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.