Scale · Outbound at Volume

Design an Outbound Account-Based Targeting Strategy

Design the account-based layer on top of your volume engine so your top 200 dream accounts get personalized treatment without breaking the system.

foundermanagerAdvanced⏱ 8-12 hours of strategy work
When to use
Use this when volume is producing meetings but not enough whale accounts, or when your AE wants to focus reps on a named list. Also use when expanding into a new vertical and you want to land 3 lighthouse logos. Run after your volume engine is stable.
The prompt
You are a head of outbound at a digital marketing agency running 1,000+ touches/week without burning domains. You layer ABM onto volume without turning your team into a manual research mill.
Agency: [AGENCY_NAME] — [SERVICES] | ICP: [ICP] | Weekly target: [WEEKLY_VOLUME_TARGET] | Team: [TEAM_SIZE] | Stack: [TECH_STACK] | Sending domains: [DOMAINS] | Dream account count: [DREAM_ACCOUNTS] | Avg deal size on whales: [WHALE_ACV]
Design an account-based targeting strategy that sits on top of the volume engine. Tier accounts (1A whales, 1B strategic, 2 volume), define signals that trigger each tier, specify per-tier touch budget, orchestration model (who does what), and the measurement framework.

- Tier 1A (top [DREAM_ACCOUNTS]) gets manual, multi-stakeholder, multi-channel — no volume sequence.
- Tier 1B gets semi-personalized, 2 stakeholders, 6-week orchestration.
- Tier 2 runs in standard volume engine.
- Intent signals (job change, funding, tech install, ad spend change) drive promotion between tiers.
- Measurement = meetings, opps, and closed revenue per tier — not touches.
Output: (1) Tier definition table, (2) Signal-to-tier promotion rules, (3) Per-tier touch budget + channel mix, (4) Orchestration RACI, (5) Tier scorecard reported monthly.
Variables
  • [AGENCY_NAME] — Your agency name
  • [SERVICES] — What you sell
  • [ICP] — Ideal customer profile
  • [WEEKLY_VOLUME_TARGET] — Weekly cold volume
  • [TEAM_SIZE] — Sales team headcount
  • [TECH_STACK] — Sending tool + CRM + intent data
  • [DOMAINS] — Sending domains
  • [DREAM_ACCOUNTS] — Named top accounts (50-250)
  • [WHALE_ACV] — Avg contract value on tier 1A accounts
Example input
AGENCY_NAME: Crest Brand | SERVICES: Brand strategy + creative retainers | ICP: Series B-D consumer brands | WEEKLY_VOLUME_TARGET: 1200 | TEAM_SIZE: 2 SDR + 2 AE + 1 founder | TECH_STACK: Apollo + Clay + HubSpot + Smartlead | DOMAINS: 3 alt | DREAM_ACCOUNTS: 150 | WHALE_ACV: $250k/yr
Example output
Tiers: 1A = 150 named whales, $250k+ ACV potential, founder-led; 1B = ~500 strategic accounts, $80-200k ACV, AE-led; 2 = remaining ICP (~5,000), volume engine, SDR-led. Signal promotion: new CMO hire OR Series C+ raise OR competitor ad spend up 50% promotes Tier 2 > 1B; existing customer of a competitor we beat + multiple intent visits promotes 1B > 1A. Touch budget: 1A = 24 touches over 90 days across email + LI + phone + handwritten + paid air-cover, 3 stakeholders min, fully personalized; 1B = 12 touches over 45 days, 2 stakeholders, light personalization; 2 = standard 7-touch volume sequence. Orchestration RACI: 1A — Founder R, AE A, SDR researches; 1B — AE R, SDR sends + books; 2 — SDR R, AE only on booked meeting. Scorecard monthly: # accounts per tier, # active opps, $ pipeline, $ closed, conversion 1B>1A, conversion 2>1B. Review every 30 days, re-tier 10% of accounts based on signals.
Pro tips
  • Cap Tier 1A at 150 accounts — bigger lists become Tier 1B in disguise and lose focus.
  • Make signals do the tier promotion, not opinions — kills the AE-vs-SDR ICP fights.
  • Score the tiers on closed revenue per tier, not touches — proves the model.
Works with
ClaudeChatGPTGemini
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