Signal-Based ABM:
Score Intent. Activate Pipeline.

Signal-based ABM is an account-based marketing approach that replaces static target account lists with live intent signal scoring. Every target account is scored on weighted signal types (firmographic fit, tech stack match, hiring signals, funding events, third-party intent data, and website visits) before any ad or outreach fires. Budget and outreach concentrate only on accounts actively showing buying intent, not distributed equally across a static list. The result: 32% win rates versus 13% for list-based ABM programmes.

The QLA Signal Stack scores 6 signal types per account: (1) Firmographic fit, company size, vertical, funding stage, geography (20 pts). (2) Bombora third-party intent, topic-level research surges across 5,000+ B2B content sites (20 pts). (3) Hiring signals, open roles in relevant functions indicating budget and strategic initiative (15 pts). (4) Website visit or RB2B deanonymisation, named company visiting key pages (10 pts). (5) Funding events, Series A/B/C raises indicating new budget (10 pts). (6) Tech stack match, presence of complementary or competing tools (10 pts). Maximum score is 85.

List-based ABM uploads a fixed set of target accounts and runs campaigns against all of them equally. Every account gets the same ad, the same frequency, the same outreach, regardless of whether any individual account is actually in-market. Signal-based ABM scores every account dynamically. Only accounts crossing a threshold activate ads. Only accounts with 50+ impressions or 1 ad engagement receive outreach. Budget concentrates on accounts demonstrating active buying intent. The data shows 32% win rates for signal-based ABM versus 13% for list-based programmes.

Bombora is a third-party intent data provider that tracks content consumption across a network of 5,000+ B2B websites via its Company Surge® product. When multiple people at a company research a specific topic, such as "ABM software" or "account scoring platform", within a short window, Bombora registers a Company Surge score for that topic at that account. This signal fires even before the account ever visits your site. In GrowthSpree's QLA Signal Stack, Bombora intent is weighted at 20 points, tied with firmographic fit as the highest individual signal weight, because it identifies accounts in active research mode for your product category.

All 6 signal types write directly to the account record in HubSpot via n8n automation workflows and GrowthSpree's LinkedIn Ads MCP server. Each signal adds its weighted point value to a custom QLA Score field on the account. When a score crosses 60, a HubSpot workflow triggers an automated Slack alert to the SDR with the account score, the specific signals that fired, and a recommended talk track. LinkedIn Matched Audiences update automatically when accounts cross tier thresholds. CRM stage changes happen without manual intervention.

A buying signal in B2B ABM is any observable event at a target account that indicates increased likelihood of purchasing in the near term. Buying signals fall into three categories: first-party signals (direct engagement with your brand (website visits, ad clicks, email opens), second-party behavioural signals (observable changes at the account) new hires in relevant roles, funding rounds, technology stack changes), and third-party intent signals (research activity tracked across external B2B content sites via providers like Bombora). The strongest buying signals combine multiple types simultaneously: a funding event, a relevant hiring signal, and a pricing page visit in the same 7-day window produces a score velocity spike that triggers an instant SDR alert.

Hiring signals are open roles in functions relevant to your product: VP of Marketing, Head of Demand Gen, RevOps Manager, Growth Lead, ABM Manager. These roles indicate active budget allocation, a strategic initiative your product can serve, and the specific stage in the buying process. A company posting a Head of ABM role is actively building the function your product supports. GrowthSpree's QLA Signal Stack tracks hiring signals via LinkedIn Jobs and Clay, fires a 15-point signal to the account record, and triggers a role-specific outreach sequence personalised to that hiring context.

Signal-based ABM works for B2B SaaS companies at Series A and above. No minimum ARR is required. For early-stage SaaS ($0–5M ARR), GrowthSpree runs lean signal-based programmes targeting 50–100 Tier 1 accounts with a single-channel LinkedIn focus. For scale-ups ($5–50M ARR), the full QLA Signal Stack runs across 200–500 accounts with multi-channel activation across LinkedIn, Google retargeting, and outbound sequences. Outcomes documented: Atomicwork ($750K pipeline at Series A) and Konnect Insights ($4.2M+ pipeline across 6 global markets at enterprise scale).

A flat monthly retainer starting at $3,000/month, month-to-month, with no percentage-of-spend fee and no long-term contract.