Outbound · Persona-based ABM

When sales calls, the account already knows who you are.

Most LinkedIn ABM tells you an account is warm. We tell you which persona inside it has seen your content, how many times, and what they engaged with — so sales walks into every call with a warmed buyer group, not a cold list.

20×

More likely to close when the full buying group is aware of your brand.

A few of the 200+ B2B technology companies we've worked with

Why this matters

SDRs are calling into accounts where nobody has heard of you.

Without persona ABM

Account-level signal only

You know Acquia is warm. You don’t know if it’s the RevOps team, Sales, or Marketing who engaged. SDR calls blind into whoever picks up.

With persona ABM

Persona-level intelligence

You know the Sales persona at Acquia saw your content 11 times. RevOps saw it twice. Marketing hasn’t engaged. SDR knows exactly who to call and what they’ve seen.

Traditional ABM tells you an account is “in market.” It doesn’t tell you which person inside it has engaged, what they’ve seen, or whether anyone in the buying committee knows your brand. Sales calls cold into accounts that are technically warm — and conversion suffers.

Methodology

How we run persona-based ABM.

Three steps. Audience to campaign to intelligence.

Match enterprise named account list in LinkedIn Segment personas with our AI Prospecting Agent BASED ON 25,000+ JOB TITLES Deploy a persona-based campaign structure Report persona engagement data per account LINKEDIN COMPANY INTELLIGENCE API Activate in CRM for informed SDR outreach

Methodology · 01

Build the buyer group. Persona by persona.

We built our own LinkedIn AI Prospecting Agent — seeded from your CRM closed-won data — to score 25,000+ job titles against your ICP. The output isn’t a broad title filter. It’s the actual buying population, segmented by the personas that make up your buyer group.

Persona 01

Economic Buyer

VP / C-suite. Owns budget. Sees business case and ROI messaging.

Persona 02

Technical Evaluator

Engineering / IT Director. Evaluates fit. Sees product depth and integration content.

Persona 03

Champion

Practitioner level. Drives internal advocacy. Sees use-case and peer content.

Persona count and labels are illustrative — configured per client ICP.

Methodology · 02

Deploy persona-structured campaigns across every named account.

Each buyer group persona gets its own campaign — messaging mapped to their role in the buying decision. Campaigns run simultaneously across the full named-account list. Every persona in every account sees content relevant to them, not generic brand awareness.

TOF

Economic Buyer campaign

Business case. Pipeline impact. Peer benchmarks.

ICP reach + frequency by persona

TOF

Technical Evaluator campaign

Product depth. Integration architecture. Technical proof.

ICP reach + frequency by persona

TOF

Champion campaign

Use cases. Practitioner how-tos. Community proof.

ICP reach + frequency by persona

Methodology · 03

Hand sales persona-level intelligence. Not account-level guesses.

Via the Company Intelligence API — closed access, available to 14 agencies globally — we report impressions and engagements broken down by persona inside each named account. Sales gets a clear view of who has been reached, how engaged they are, and what content they’ve seen. That’s what we hand to the SDR.

Persona Company Impressions Clicks Engagements Level
Sales Acquia 144 7 11 High
Marketing Acquia 135 0 1 Very low
RevOps Acquia 68 0 0 Very low

Not ‘Acquia is warm’ — but which team, how engaged, and what content they’ve seen. This is what goes to the SDR.

SDR trigger

When a persona crosses an engagement threshold, an alert fires to the SDR — with title, company, engagement score, and content seen. A trigger with context, not a list.

CRM sync

Persona-level engagement syncs to contact records. Sales knows who’s warm before they pick up the phone — not just which account, but which person inside it.

What makes it work

The unlock: signal flowing both directions.

The AI Prospecting Agent gets sharper when the platform sees deal outcomes. Closed-won contacts become new seed data. Lost opportunities become exclusion signal. The audience improves every quarter — but only if the data layer is wired.

Inside Pipeline Intelligence

System of record ↔ AI Prospecting Agent · feedback

CRM-to-LinkedIn AI Prospecting Agent feedback loop Deal-stage signals — Lead, MQL, SQL, Opportunity, Closed-Won — flow bidirectionally between the CRM and the LinkedIn AI Prospecting Agent through the Conversions API. Closed-won contacts become new seed data; lost opportunities become exclusion signal. The audience improves every quarter. System of record HUBSPOT · SALESFORCE · MARKETO AI Prospecting Agent CONVERSIONS API DEAL-STAGE SIGNAL PIPELINE STAGES · WEIGHTED FEEDBACK LeadMQLSQLOppClosed-Won Closed-won = new seed. Lost = exclusion signal.

Customer voice

Our clients speak for themselves.

G2

4.9 / 5

"We're in a niche space — Verto came in with a solid grasp of what we did and didn't try to oversimplify things. They actually leaned into the complexity, which is rare. The team asked smart questions, got up to speed fast, and built campaigns that hit the right balance for both engineers and decision-makers."

Verified G2 Reviewer

Aviation & Aerospace / Small-Business

G2 G2 verified review · October 2025

"They built our campaign structure across LinkedIn and Google, set up attribution that tracked real conversions rather than just clicks, and helped us sharpen how we communicated value to different audiences. Lead volume went up and we had data we could actually use to decide where to put budget next."

Verified G2 Reviewer

IT/Cybersecurity · Small-Business

G2 G2 verified review · April 2026

Who this fits

Who LinkedIn AI Targeting fits.

Best fit

  • B2B SaaS or B2B technology with at least six months of clean closed-won data in CRM
  • Named-account ABM motion — defined target account list of 200+ accounts
  • Buying committee of 4+ people per deal
  • Monthly LinkedIn budget of $20,000+ (the AI agent needs sufficient impression volume to learn)

Not the right fit yet

  • Pre-product-market-fit — the seed data isn't representative of who actually buys
  • ABM motion not yet defined — the AI agent's lookalike scoring needs a target account universe to score against
  • CRM data quality below baseline — the lookalike audience will be built from noise

If you're in this column, the Pipeline Assessment will flag what to fix first.

FAQ

Questions B2B marketing leaders ask before signing.

What does LinkedIn Ads Certified status mean?
LinkedIn Ads Certified is LinkedIn's top agency tier. It means earlier access to new ad products, dedicated LinkedIn account team support, and required performance benchmarks across all client accounts. We hold LinkedIn Ads Certified status and won the 2025 Breakthrough Award — LinkedIn's recognition for the most innovative ABM and AI targeting work across its global partner network.
What's the difference between LinkedIn Paid Social (inbound) and LinkedIn AI Targeting (outbound)?
Same platform, different motion. Inbound LinkedIn reaches the buyer group across your full ICP — building awareness so when buying intent forms, you're already known. Outbound LinkedIn AI Targeting layers onto a named-account list and engages the specific buying committee inside those accounts. We typically run both for clients with named-account motions.
Do we need an existing 6sense or DemandBase contract for LinkedIn AI Targeting to work?
No. The AI Prospecting Agent works from your CRM data alone. 6sense or DemandBase intent layers on top of LinkedIn AI Targeting and amplifies it — but isn't a prerequisite.
How is the AI Prospecting Agent different from LinkedIn's matched audiences?
Matched audiences require you to upload a list. The AI Prospecting Agent uses your CRM seed data to discover lookalikes across the entire LinkedIn member graph — scored by behavioral and engagement fit. It's a discovery layer; matched audiences are an activation layer. We use both in combination.
Will the AI agent eventually replace human ABM strategists?
No. The AI handles audience discovery and bid optimization. Strategy — which accounts to target, what messaging the buying committee responds to, when to escalate to sales — is human work. The AI scales execution. It doesn't replace judgment.
What's the minimum monthly LinkedIn budget for AI Targeting to work?
$20,000/month in media spend. Below that, the AI Prospecting Agent doesn't see enough impression volume to refine the audience.

How we engage

Assess. Pilot. Grow.

Day 1 FREE

Pipeline Assessment

ICP audience snapshot. AI-generated scored LinkedIn audience preview. Five days. Thirty-minute debrief.

Day 90 PILOT

LinkedIn AI Targeting Pilot Sprint

Fixed fee. Fixed scope. AI Prospecting Agent activated. Company Intelligence API integrated. Pipeline target agreed.

Day 90+ ONGOING

Always-On LinkedIn AI Targeting

Continuous audience refinement. Quarterly seed-data refresh. 30-day notice from day one.

Commercial guarantee

No 12-month lock-in. No surprise scope fees. Renewal earned quarterly.

Fixed-fee pilots, no scope creep

What you signed for is what you pay. Always.

Renewal earned every quarter

Pipeline targets reviewed at QBR. The work earns the next quarter.

30-day notice from day one

Applies to monthly retainers — cancel any time. The contract doesn't trap you.

Looking for LinkedIn used as the inbound awareness layer?

LinkedIn Paid Social · Inbound

The team

The people on your account.

Not a black box. Every engagement runs with a defined partner team — three roles, clear ownership, each with a direct line to you.

Client

01

Account Lead

Your primary relationship owner. Translates your marketing objectives into persona strategy, runs performance reviews, and manages the commercial relationship.

02

Persona Strategist

Designs ICP persona frameworks, LinkedIn AI audience builds, and persona-segmented messaging sequences across the full buying committee. Reaches the right titles before they raise their hand.

03

Data & Analytics Consultant

Builds your conversion pipelines, audience data flows, and attribution infrastructure. On call throughout the engagement for data escalations and infrastructure needs.

Ivailo Shipochki — Partner, Inbound & Outbound Growth at VertoDigital

Ivailo Shipochki

Partner, Inbound & Outbound Growth

Marie Goygadjieva — Sr. Associate, Paid Growth at VertoDigital

Marie Goygadjieva

Sr. Associate, Paid Growth

Alexandra Yanakieva — Director, Paid Growth at VertoDigital

Alexandra Yanakieva

Director, Paid Growth

Stanislava Pashkulova — Associate, Paid Growth at VertoDigital

Stanislava Pashkulova

Associate, Paid Growth

One last thing

See your AI-generated LinkedIn audience. In five days.

The Pipeline Assessment includes an ICP audience snapshot — an AI-generated, scored LinkedIn audience built from your CRM data, showing exactly who the AI Prospecting Agent would target on day one of an engagement.

Five business days. No commitment.