Account-Based Marketing has been a buzzword for the better part of a decade. Most companies say they do ABM. Most companies are actually doing spray-and-pray outbound with a company name inserted in the subject line.
Real ABM, the kind that generated $25M in pipeline at HeyGen and improved pipeline efficiency 3× at Egnyte, is a fundamentally different discipline. Here's the playbook.
What ABM Actually Is (and Isn't)
ABM is not personalized email campaigns. That's a tactic. ABM is a strategy for concentrating your marketing and sales resources on a specific set of accounts where the probability of winning is highest, and creating coordinated multi-channel experiences designed to accelerate those accounts through your pipeline.
The core principle: depth over breadth. Instead of reaching 10,000 accounts with shallow awareness campaigns, you reach 500 accounts with deeply relevant, multi-channel, multi-touchpoint programs.
The Tiered ABM Model
The most effective ABM programs I've built use a tiered structure that allocates resources proportionally to account value:
Tier 1: Strategic Accounts (50–100 accounts)
These are your highest-priority, highest-ACV targets. White-glove treatment.
- Dedicated account research: firmographic, technographic, recent news, key stakeholder mapping
- Fully personalized outreach sequences (sales + marketing coordinated)
- Custom landing pages or microsites for priority accounts
- Executive outreach and sponsorship for flagship accounts
- Personalized content and case studies matched to their specific industry and use case
- Direct mail (yes, it works at this tier, especially for accounts that are hard to reach digitally)
At HeyGen, Tier 1 accounts had dedicated resources from both sales and marketing. The conversion rate from target to pipeline was 3–4× higher than non-ABM outreach.
Tier 2: Programmatic Accounts (500–2,000 accounts)
These are strong ICP fits with meaningful ACV potential, but not enough to justify fully custom treatment. You scale personalization here using technology.
- Clay for automated research and personalization at scale
- Intent signal monitoring (6sense or Demandbase) to identify in-market accounts
- LinkedIn advertising campaigns targeted precisely to these accounts
- Personalized email sequences using account-specific research inserted via Clay
- Content retargeting: if a target account visits your pricing page, trigger a specific follow-up sequence
Tier 3: Industry/Segment Campaigns (5,000–20,000 accounts)
These are broad ICP fits that you don't have bandwidth to treat individually. Traditional demand gen with ICP targeting, such as LinkedIn advertising, content marketing, webinars by vertical.
The Technology Stack
The ABM stack I run:
- Intent data: 6sense or Demandbase. These tools identify accounts that are researching your category right now, showing up on review sites, consuming competitor content, searching intent keywords.
- Research and personalization: Clay. This is the tool that enables programmatic Tier 2 ABM at scale, building account research automatically and using AI to generate personalized outreach context.
- CRM and account management: Salesforce. Account plans, opportunity tracking, ABM stage tracking.
- Advertising: LinkedIn for account-matched advertising. The targeting is precise enough that you can serve ads only to specific people at specific accounts.
- Engagement platform: Demandbase or Terminus for orchestrating multi-channel ABM experiences.
The Content Approach for ABM
ABM content is different from demand gen content. The goal is not to attract an audience; it's to move specific accounts through your pipeline.
Awareness
Industry-specific thought leadership. “How L&D teams at Fortune 500 companies are using AI video.” The goal is to build brand recognition and credibility within the specific vertical you're targeting.
Consideration
Use case-specific content. ROI calculators, peer case studies, comparison guides. When this content is personalized to the specific account's situation, conversion rates are dramatically higher.
Decision
Proof and risk reduction. Customer references, security documentation, implementation guides, executive briefings. Enterprise buyers need to feel confident that they won't fail. Content at this stage is about reducing perceived risk.
The Measurement Framework
ABM success metrics are different from traditional demand gen metrics:
- Account engagement score: Are target accounts consuming your content, visiting your site, engaging with your ads?
- Account pipeline coverage: What percentage of your Tier 1 and Tier 2 accounts have active opportunities?
- Velocity by ABM tier: Are Tier 1 accounts moving through pipeline faster than non-ABM accounts?
- Win rate by ABM tier: Are you winning more of the accounts you've invested in? (This is the ultimate validation of ABM quality.)
The mistake I see most often: measuring ABM success by volume (how many accounts did we touch?) rather than quality (how many accounts converted to pipeline, and at what rate?). ABM is a quality discipline; if you're measuring it with volume metrics, you're measuring the wrong thing.
The Egnyte and HeyGen Results
At Egnyte, building the double-funnel ABM strategy (Tier 1 white-glove + Tier 2 programmatic) improved pipeline efficiency 3× by generating more pipeline with the same spend by concentrating investment on high-probability accounts. The conversation intelligence and chat programs I added generated an additional $20M in pipeline.
At HeyGen, the ABM program targeting Global 2000 accounts across Agency, L&D, and API segments generated $25M in enterprise pipeline. The key enabler was segment-specific messaging and content, treating Agency buyers, L&D buyers, and enterprise API buyers as completely distinct audiences with distinct problems and distinct value propositions.