You did the hard part: built a tight lookalike list (with 500 accounts, maybe more) with all the right firmographics, technographics, and buying signals.
Then you fire up on outbound, treating the whole list like it’s net-new.
That’s where the money starts quietly evaporating.
Because a chunk of that list is already sitting in your CRM. Some accounts have opted-in contacts, while others have past engagement you’ve forgotten about. So you end up paying roughly $50–$100 per lead to “create awareness” where awareness (and data) already exists.
The fix is simple, and it’s what Steve Armenti, founder of twelfth agency and former ABM lead at Google, frames as step zero before you activate any list: dedupe against your CRM and check opt-in status.
Opted-in contacts lower friction and signal you already have a permission path into the account. Once you see that, the playbook changes from “introduce ourselves” to “re-engage, expand, and convert with intent.
In this blog, we share the exact approach covered in CXL’s live course, AI for B2B Account-based Marketing. We’ll walk you through Armenti’s ABM strategy on how to build, prioritize, and activate lists, so you invest your budget in the right accounts that you already have.
Table of contents
Why CRM overlap is your first ABM signal, rather than your last
A lot of ABM list-building starts from a blank slate: build the list, append contacts, launch outbound.
The smarter play flips that sequence.
Step zero is a CRM overlap audit. Before you spend a dollar on ads or outreach, Armenti suggests running your lookalike list against your database.
What to look for in your CRM
When you dedupe your target list against your CRM, pull the fields that change what you do next:
- Company name + domain (your best dedupe key) and core firmographics like industry, size, revenue, or location.
- Revenue + opportunity context: open/close dates, sales cycle length, lead/opportunity source, and basic deal size/contract value—enough to spot what actually converts.
- Contact + permission status: who’s opted-in, who’s in the CRM but not opted-in, and who’s on a do-not-target list (especially if you’re in a regulated space).
- Buying-group coverage: primary + secondary contacts tied to real opportunities, so you can see which roles truly drive deals (vs. who just needs to be “influenced”).
Optional:
- Product tier/SKU, tech stack, number of locations, competitor notes, or anything that helps you segment and personalize without making up assumptions.
Segment your accounts by CRM overlap
A practical way to organize your CRM overlap is to segment your lookalike account list into three buckets:
| Accounts with opted-in contacts | These accounts already have opted-in contacts in your database (This is your warm layer). |
| Accounts with contacts but no opt-in | These accounts have contacts in your CRM, but not opted in. You need a plan to earn permission before you treat them like a nurtureable audience. |
| Net-new accounts | No one from this company is in your database (True cold territory). |
Most teams treat all three buckets the same. That’s the mistake.
The warm layer should be prioritized first, with tighter coordination between marketing and sales. The trust barrier is lower because you’re not starting from zero awareness.
“Precision is much better and, in my opinion, that precision is what you’re able to capture in terms of data… too often we either don’t have access to data or we are over-reliant on some of the more static, less useful data points.”
— Steve Armenti
Bucket two is your opt-in conversion play. In Armenti’s words:
“If you dedupe and find a bunch of relevant accounts in your CRM that aren’t opted in, that’s a strategy signal. Go earn opt-in using low-cost ads, content syndication, or an industry event sponsorship that gets you access to an opted-in lead list, in one shot.”
Bucket three gets attention after you’ve worked the first two buckets. Once that’s done, you can take what’s already resonating (message, channels, offers) and apply it to net-new, making your outreach faster, cheaper, more targeted, and easier to scale.
Your CRM will contradict your “perfect ICP” story
Armenti shared a client example that’s painfully common: they were convinced their ICP was CIOs and CTOs.
But when they analyzed closed deals in the CRM, 68% of primary contacts were actually directors and senior directors. The C-suite was influence-only, not the main driver of the sales process.
If you’re building lookalike lists without cross-referencing actual revenue data, you’re just guessing. The CRM overlap audit forces you to validate assumptions with what actually happened, rather than what sounds neat in an ICP slide deck.
A B2B account-based marketing prioritization framework based on CRM overlap
Once you’ve segmented your lookalike list by CRM overlap, you can tier your effort based on where you already have permission and data.
Tier 1: Opted-in accounts (warm layer)
These accounts receive the highest level of coordination and investment. That often includes:
- Account-aware messaging across relevant channels;
- Personalized experiences with content, webinars, and event invites;
- Multi-threaded outreach mapped to roles in the buying group;
- Tight coordination between marketing and sales follow-up.
Why this works: You’re not starting from a blank canvas. You’re using what you already know to create a more coordinated experience.
Tier 2: Accounts with contacts but no opt-in (conversion layer)
Your goal here is simple: earn permission, then move those accounts into higher-touch sequences.
Your opt-in paths might include:
- Low-cost ads;
- Content syndication;
- Industry event sponsorships that provide access to an opted-in lead list.
Tier 3: Net-new accounts (cold layer)
These are accounts with no contacts in your database. Treat them as true cold targets and prioritize them only after you’ve addressed the CRM-overlap opportunities.
The point isn’t to ban cold outbound. It’s to stop acting like everything is cold.
“Revenue data validates your assumptions. So have assumptions, have ideas, write those down and bring those to life, but ,ultimately, use your revenue data to validate whether that’s correct or incorrect.”
— Steve Armenti
What to do Monday morning
Here’s the build, aligned to the process Armenti walks through:
- Export what you need from your CRM
Pull your opportunity/revenue data (open and closed-won) and the firmographic context you have available so you can analyze patterns in what actually closes.
- Conduct “step zero” audit
Run CRM deduplication: Match your target account list against your CRM to remove duplicates and identify accounts with opted-in contacts vs. contacts with no opt-in.
- Validate your assumptions with revenue data
Write down your ICP assumptions, then use CRM analysis to confirm or correct them, especially around personas and buying roles.
- Prioritize and sequence
Start with the warm layer. For the “contacts but no opt-in” layer, run an opt-in plan (low-cost ads, content syndication, or event sponsorship) and then graduate those accounts into higher-touch sequences.
Turn your CRM into your ABM engine
The real B2B account-based marketing unlock isn’t just better targeting. It’s better sequencing, starting with the leverage you already paid for: your CRM.
Want to level up your ABM strategy and build a lookalike list that actually converts? Learn how to use AI and CRM data to find best-fit accounts, score them, and launch campaigns that don’t waste budget on cold outreach.
→ Join Steve Armenti’s live course on AI-powered ABM list building.
Here’s a sneak peek at what you’ll be learning in the course:
