---
title: "The LinkedIn ABM three-tier campaign structure | Cometly Academy"
description: "Most LinkedIn programs plateau because they treat the platform as one campaign. The teams that scale split LinkedIn into three tiers: ICP prospecting against named accounts, in-market layered with intent signals, and remarketing focused on demo conversion. Cometly’s reports tell you which tier is producing pipeline so you can rebalance budget intelligently."
source: "https://www.cometly.com/academy/linkedin-abm-three-tier-structure"
---

# The LinkedIn ABM three-tier campaign structure

ICP, in-market, and remarketing — three tiers, three jobs.

- Module 02: Sales-Led Growth Reports
- Lesson: 2.9
- Track: SLG
- Format: Playbook
- Read time: 9 min

Most LinkedIn programs plateau because they treat the platform as one campaign. The teams that scale split LinkedIn into three tiers: ICP prospecting against named accounts, in-market layered with intent signals, and remarketing focused on demo conversion. Cometly’s reports tell you which tier is producing pipeline so you can rebalance budget intelligently.

## Key takeaways

- Tier 1 — ICP: matched-audience ads to named accounts and target job titles
- Tier 2 — In-market: layered with G2 intent, content engagement, and pricing-page visitors
- Tier 3 — Remarketing: high-frequency demo CTAs to anyone who hit a key page in 30 days
- Use cost-per-MQL by tier as your reallocation signal — not cost-per-click
- Push pipeline and closed-won back to LinkedIn’s Conversion API for matched-audience optimization

The reason most LinkedIn programs plateau is structural, not creative. A single-campaign, single-audience approach blends three fundamentally different jobs into one performance metric, which makes optimization impossible. Splitting the program into three tiers — each with its own audience, creative, and bidding strategy — is the single biggest unlock B2B SaaS teams have on the platform.

## Why it matters

Once the tiers are split, you can optimize each one against the metric that actually matches its job: cost-per-MQL for prospecting tiers, cost-per-demo for in-market, cost-per-attended-demo for remarketing. Without the split, you’re optimizing on a blended number that doesn’t correspond to any real decision.

## The three tiers

Tier 1 — ICP prospecting. Matched-audience ads or job-title ads against your named accounts. Job: introduce the brand. Creative: thought leadership, customer outcomes, founder content. Optimize on cost-per-engaged-account.

Tier 2 — In-market. Layered audiences using G2 intent, content engagement, pricing-page visits, and 6sense or similar. Job: qualify the opportunity. Creative: product-specific value props, ROI calculators, competitive comparisons. Optimize on cost-per-MQL or cost-per-demo.

Tier 3 — Remarketing. High-frequency direct-response ads to anyone who hit pricing, demo, or solution pages in the last 30 days. Job: convert. Creative: demo CTAs, customer logos, testimonials. Optimize on cost-per-demo-attended.

- Tier 1: Matched audiences + job-title targeting against named accounts
- Tier 2: Layered intent (G2 + content + pricing-page visits)
- Tier 3: Remarketing window of 30 days with demo-focused creative
- Run all three concurrently with separate budgets, not in sequence
- Push downstream events back to LinkedIn CAPI for matched-audience optimization

## Reallocating between tiers

Run a Cometly report grouped by LinkedIn campaign with Cost-per-MQL and Cost-per-Demo-Attended as the headline columns. Reallocate budget toward the tier with the strongest cost-per-stage performance — but don’t starve any tier completely. Tier 1 has long-tail effects that only show up six to nine weeks after the spend, so cutting it because of a slow first month is the most common mistake we see.

## Common pitfalls

### Running all three tiers in one campaign

You can’t optimize three different jobs against one performance metric. Split the campaigns physically.

### Killing Tier 1 too early

ICP prospecting takes 6–12 weeks to show pipeline effects. Don’t judge it on first-month MQL volume.

### Forgetting to push CAPI events back

Without Cometly’s Conversion API events, LinkedIn’s matched-audience and lookalike algorithms have nothing to optimize against.