LinkedIn Benchmarks for B2B | Insights from 100+ Marketing Teams
Download the report
Factors Blog
Conversations
Rewriting the playbook: How Vis Runs AI-Native GTM at Concirrus

Rewriting the playbook: How Vis Runs AI-Native GTM at Concirrus

Viswanathan Nadarajah

Introduction

This session, led by Harish of Factors with guest Viswanathan Nadarajah (Vis) from Concirrus, explored what AI-native GTM actually looks like in production — not on a slide, not in a diagram, but running live at a specialty insurtech with 8–12 month sales cycles. Vis walked through the lean stack he's built, the attribution story behind a £500K deal, and what it means to measure momentum instead of activity.form.

About Viswanathan Nadarajah

Vis is the ABM lead at Concirrus, a London-based insurtech. Before stepping into B2B marketing, he trained as a bioscientist and spent time in the enterprise ecosystem of a VC-backed biotech startup — where he became the first salesperson before making the move into marketing. He joined Concirrus as their first ABM hire and now owns the full GTM motion: account-based marketing, demand generation, thought leadership, and RevOps. He treats marketing the way a scientist treats a hypothesis — build the system, measure the signal, cut what doesn't convert.

The Lean Intelligence Stack

Vis shared the exact stack running in production at Concirrus — deliberately lean, fully agentic, and designed to run without constant human intervention:

  • HubSpot: Target account intelligence, tagging, and CRM backbone
  • UserLed: 1:1 personalised LinkedIn ad creatives at account level — company logos, bespoke messaging, individual campaign assets for each target account
  • Factors: Tracks all intent signals — LinkedIn ad engagement, website visits, G2 activity — stitched together at the account and contact level
  • Clay: The orchestration brain — receives webhooks from Factors, enriches contacts, pulls emails and LinkedIn profiles, generates outreach via Claude API
  • SmartLead + HeyReach: Execution layers for email and LinkedIn outreach — fully automated, evergreen, pauses only when a reply comes in

The entire workflow fires the moment a target account visits the website. No human touches it until a response arrives.

The Attribution Story Nobody Tells

Vis walked through a live example that illustrated why last-touch attribution misses the point entirely:

  • April: LinkedIn ad impressions running against a target account — engagement, but no website visits
  • May: Four stakeholders from the same account begin visiting the website — one of them 80+ times across multiple sessions
  • June: Ken fills in a book-a-demo form after clicking a Google Ads competitor keyword

Without the full account journey, the deal gets attributed to Google Ads. With Factors and the Claude MCP, Vis could see the complete picture: the LinkedIn ad built the awareness, the email sequence drove the website visits, and the Google Ad converted someone who already knew the brand. That's what took the deal to £500K — and what gave Vis the data to argue for increased budget across both channels.

Measuring Momentum, Not Activity

One of the session's core themes was the difference between lagging and leading indicators:

  • MQLs and SQLs tell you what already happened — often 6+ months after the marketing that drove them
  • Account heat, stakeholder engagement, and intent signals tell you what's about to happen — which accounts are in an active buying cycle right now
  • Vis's workflow surfaces this automatically: when an account lights up, the system enriches and routes it before a human has to notice
  • The goal isn't more meetings booked — it's brand engagement, inbound website visits, and multi-stakeholder activity that signals real intent

Email Deliverability: The Overlooked Foundation

Before any outbound engine goes live, Vis stressed the importance of inbox warming:

  • Purchase separate domains (e.g., concirrus.com, concirrus-hq.com) to protect the root domain
  • Use SmartLead to warm inboxes over two weeks before sending — automated back-and-forth with remote inboxes to simulate real activity
  • Cap outreach at 5 emails per inbox per day across 10 inboxes — well below spam thresholds
  • Without this step, even the best email copy ends up in junk

Conclusion

Vis and Harish closed with practical advice for teams at any stage — from $1,000/month ABM budgets to full-scale enterprise motion. Key takeaways: start with accounts that can realistically close, prioritise intent signals over firmographic lists, and always go after warm intros and closed-lost accounts before cold outreach. The full recording and a demo of Factors MCP are available below.

Factors Blog

See Factors in action today.

No Credit Card required

GDPR & SOC2 Type II

30-min Onboarding

Book a Demo Now
Book a Demo Now

See Factors In Action

Schedule a personalized demo or sign up to get started for free
Speak to our team today
Speak to our team today
LinkedIn Marketing Partner
GDPR & SOC2 Type II