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How Contact-Level ABM + LinkedIn Targeting Fix Your GTM Engine

Contact-level ABM + LinkedIn Targeting
Contact-level ABM

Why Most ABM Campaigns Stall And Why Sales Doesn’t Trust It

Forrester’s latest findings revealed new insights:


Most ABM fails not because accounts are wrong, but because the people inside the account are UNKNOWN.


58% of ABM teams admit they struggle to drive meaningful engagement because they only know “the account,” not the actual buyers.


Sales agrees. Their top complaints:


“The account is right, but WHO should I talk to?”

“No idea which stakeholder actually engaged.”

“Marketing says the account is warm. It doesn’t feel warm.”


ABM stalls because traditional systems stop at:


“This company is interested.”

Modern revenue teams need:


“These three people inside the company are engaged, and here’s how to reach them now.”


ABM

Forrester + Influ2 warn that outdated ABM has consequences:


  • 40% report slowed pipeline

  • 37% lose revenue due to irrelevant outreach

  • 31% struggle with a lack of personalisation

  • 25% see stalled conversion rates

  • 25% report longer sales cycles


The pattern is:


When you don’t know WHICH CONTACTS are engaged, you can’t influence the buying committee, and revenue stalls.

This is why 72% of ABM leaders now believe contact-level precision will be the #1 differentiator in the next 24 months.


From “Account-Based” to “Buyer-Led” ABM


The future of ABM is simple:


Target individuals > Influence buying committees > Route signals to revenue.


Here’s the modern blueprint:


1. Identify the actual buying committee, not just the account.

CFO, champion, evaluator, blocker, procurement, influencer.


2. Personalize by persona and by buying stage.

Relevance wins attention. Personalization wins pipeline.


3. Track contact-level engagement.

Not: “Acme saw the ad.” But: “Sarah (VP Ops) clicked twice - last 48 hours.”


4. Trigger instant follow-up.

The moment Sarah engages → route to rep → activate play.


5. Create one feedback loop between ads → signals → outreach.

A self-updating, continuously improving revenue engine.


This is exactly where LinkedIn becomes the strongest B2B REVENUE channel in 2025.


How to Implement:


1. Identify the Right Contacts

Warmly, · Clay · Influ2


Use AI to enrich and identify the real buying committee across all target accounts.


Workflow:


  • Auto-enrich LinkedIn profiles + verified emails via Clay

  • Score each contact based on ICP fit + intent signals

  • Route high-priority personas directly into HubSpot sequences

  • Auto-update ZenABM audiences based on new engagements


Outcome: A constantly refreshed universe of high-value buyers.


2. Build Dynamic Audiences

Clay · Warmly · Influ2 · 6sense


Create adaptive, persona-based audience lists that expand and contract based on:


  • new enrichment

  • engagement thresholds

  • buyer-journey stage

  • recency of activity


Workflow:


  • Dynamic audience updates → trigger new LinkedIn campaign membership

  • Auto-build lookalike segments based on high-intent contacts

  • AI-driven segmentation in Clay based on psychographics and role relevance


Outcome: Your targeting evolves automatically as buyers behave.


3. Pilot AI Campaign Optimisation

ZenABM · LinkedIn Ads · 6Sense (Integrated workflows)


Deliver contact-level LinkedIn ads to specific individuals inside each account.


Workflow:


  • Auto-sync persona-level audiences from Clay into ZenABM

  • Personalise LinkedIn ads by role + buying stage

  • Route ad-clickers into GTM sequences within minutes

  • Constantly optimise creatives based on persona-level performance


Outcome: Relevance scoring + real attribution across individuals, not companies.


4. Personalising Outreach at Scale

HeyReach.io · Smartlead ai · 6Sense (Conversational Email) · HubSpot


This is where GTM acceleration happens.


Workflow:


  • HeyReach sends AI-personalised LinkedIn touches to engaged buyers

  • Smartlead or 6Sense triggers multi-channel emails based on buyer activity

  • HubSpot runs persona-specific cadences tied to pricing views or ad clicks

  • Slack alerts notify reps when a high-intent contact engaged


Outcome: A cohesive, AI-orchestrated follow-up system across LinkedIn + email + CRM.


5. Measure & Optimise

Dreamdata · HubSpot · ZenABM


The final layer closes the loop with granular visibility.


Workflow:


  • Track every touchpoint: LinkedIn ad → pricing page → outreach → meeting

  • Attribute revenue to specific contacts, creatives, and sequences

  • Feed performance data back into Clay + ZenABM to refine audiences

  • Build executive dashboards (persona-level engagement → opportunity → revenue)


Outcome: You finally see what ABM has been missing, which is that people actually create a pipeline.

Continuous Pipeline Optimisation Loops

What Makes This System “Self-Updating”?

Your tech stack allows for real closed-loop optimisation, where:


  • Dreamdata + HubSpot insights refine ICP definitions in Clay

  • ZenABM improves targeting based on real conversions

  • HeyReach + Smartlead engagement data evolve outreach plays

  • Warmly + Influ2 signals trigger new GTM activations


This creates a buyer-led GTM engine that updates itself, every day.


The Key Takeaway


The ABM programs winning in 2025 are not targeting “accounts.” They’re influencing:

Real buyers with real signals in real time across real channels.

Contact-level ABM + LinkedIn precision isn’t a tactic.

It’s the new foundation of modern GTM.



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