QLA Signal Stack · Intent-Driven ABM

Signal-Based ABM:
Score Intent. Activate Pipeline.

Static target account lists treat every account the same — the one actively evaluating you and the one that churned last quarter both get the same ad, the same sequence, the same budget. Signal-based ABM doesn't.

The QLA Signal Stack scores 6 weighted intent signals per account in real time. Ads activate only above threshold. Outreach fires only after 50+ impressions. Every signal writes to your CRM as pipeline — not a spreadsheet.

★★★★★ 4.9/5 on G2 · 300+ B2B SaaS reviews Google Partner HubSpot Solutions Partner
QLA Signal Stack · Scoring breakdown
Account Score Composition
6 signals · 85 pts max · HubSpot-native
Firmographic fit20 pts
Source: Apollo · Clay · LinkedIn
Bombora 3rd-party intent20 pts
Source: Bombora Company Surge®
Hiring signals15 pts
Source: LinkedIn Jobs · Clay
Website visit / RB2B10 pts
Source: RB2B · Clearbit Reveal
Funding events10 pts
Source: Crunchbase · Clay
Tech stack match10 pts
Source: BuiltWith · Clearbit
Max account score
85 pts
Tier 1 · Score 60+ → SDR 24h Tier 2 · 35–59 → Cohort outreach Tier 3 · <35 → Awareness only
32%Win rate vs 13% for list-based ABM
6 signalsScored per account before any outreach fires
85 ptsMaximum QLA account score
30dAverage to first pipeline signal
What is Signal-Based ABM?

Signal-based ABM is an account-based marketing methodology that replaces static target account lists with live intent signal scoring. Instead of distributing ad budget and outreach equally across all target accounts, signal-based ABM scores every account on weighted intent signal types and activates ads and sequences only when accounts cross scoring thresholds.

  • Not list-based: Budget concentrates on accounts actively showing buying intent, not distributed equally across 500 accounts on a static upload.
  • 6 weighted signals per account: Firmographic fit, tech stack, hiring signals, funding events, Bombora third-party intent, and website visits — all writing to HubSpot or Salesforce in real time.
  • Three-tier account architecture: Tier 1 (score 60+, 1:1 treatment), Tier 2 (35–59, cohort), Tier 3 (below 35, awareness only). Accounts move between tiers as signals fire.
  • Warming before outreach — always: No SDR contacts an account until it has 50+ LinkedIn ad impressions or 1 ad engagement. A 2–3 week TOFU → MOFU → BOFU sequence runs first.
  • Signal-triggered personalisation: Outreach messaging references the specific signal that triggered activation — funding round, relevant hiring signal, competitor tool detected, Bombora topic surge.
  • CRM-native attribution: All signals, ad engagements, and outreach touches write to the account record in real time. Sales and marketing share one account score. No spreadsheets.
How It Works

The QLA Signal Stack in 6 steps.
Signal to closed pipeline.

Every step is automated, CRM-native, and documented as a client-owned SOP at the end of the engagement.

01
Step 01

ICP definition and signal configuration

Which signals are most predictive for your specific product and ICP?

Define the ideal customer profile. Configure which signal types fire for your ICP — not every signal matters equally for every product. Build the three-tier account architecture with score thresholds appropriate for your sales cycle length and deal size.

02
Step 02

Connect all signal sources to HubSpot

First-party, second-party, and third-party — all writing to one account record.

Connect first-party signals via the LinkedIn Ads MCP server and RB2B website deanonymisation. Connect second-party signals via Clay enrichment pulling hiring data from LinkedIn Jobs and funding data from Crunchbase. Connect third-party Bombora Company Surge® intent signals. All routes write to the HubSpot or Salesforce account record via n8n automation.

Tools connected: LinkedIn Ads MCP, RB2B, Clay, Bombora, BuiltWith, Crunchbase, n8n, HubSpot/Salesforce
03
Step 03

Real-time account scoring

Scores update continuously, not in weekly batches.

As each signal fires, the QLA Score field on the account record updates automatically. Firmographic fit (20 pts) + Bombora intent (20 pts) + hiring (15 pts) + funding (10 pts) + tech stack (10 pts) + web visit (10 pts) = up to 85 points. When a score crosses 35, the account enters Tier 2. When it crosses 60, it enters Tier 1.

Score velocity rule: An account that gains +20 points in 7 days triggers an instant Slack alert regardless of absolute score — velocity indicates a buying window opening.
04
Step 04

LinkedIn Ads activate above threshold

Ads only fire against accounts at or above their tier threshold.

When an account crosses Tier 2 (score 35+), LinkedIn Matched Audiences update automatically and Tier 2 creative campaigns activate. When an account crosses Tier 1 (score 60+), named 1:1 ABM campaigns with account-specific creative activate. Tier 3 accounts below 35 receive no paid media — budget concentrates only where intent signal justifies spend.

05
Step 05

Warming rule before any outreach

Non-negotiable. Cold sequences fail because they're cold.

No SDR contacts an account until it has received 50+ LinkedIn ad impressions or produced 1 ad engagement. A 2–3 week warming sequence — TOFU creative (awareness), then MOFU (problem framing), then BOFU (proof and CTA) — confirms the account has seen the brand before any human reaches out.

Why this matters: Accounts that receive outreach after warming convert at 3× the rate of cold sequences. The warming rule is the single biggest structural difference between signal-based ABM and cold email with a TAL attached.
06
Step 06

Signal-triggered outreach with documented SLAs

Messaging references the specific signal. SLAs are baked into the programme.

When score threshold is crossed AND warming rule is satisfied, LinkedIn (Dripify) and email (Instantly) sequences activate automatically. Messaging is personalised to the trigger signal. A funding round triggers a congratulations + relevant use case sequence. A hiring signal triggers a role-specific talk track. A Bombora surge triggers a topic-specific sequence.

Score 60+ → SDR Slack alert within 24h with account score, trigger signals, and talk track
Score 120+ → AE handoff within 48h with full signal history
Velocity +20 in 7d → Instant alert regardless of absolute score
The 6 Signal Types

Every signal that scores
an account in your CRM.

Six weighted signal categories. All writing to HubSpot or Salesforce in real time. Max 85 points per account.

Signal 01
20
points · highest individual weight

Firmographic Fit

Company size, vertical, funding stage, geography, and employee count matched against your ICP definition. The baseline — accounts that don't fit the ICP are scored low here regardless of other signals and deprioritised automatically.

ApolloClayLinkedInCrunchbase
Signal 02
20
points · tied for highest weight

Third-Party Intent (Bombora)

Bombora Company Surge® tracks content consumption across 5,000+ B2B websites. When multiple people at an account research a relevant topic — "ABM software", "account scoring", "intent data" — within a short window, a surge score fires. This signals active research in-market before the account ever visits your site.

BomboraG2 Buyer Intent6sense (optional)
Signal 03
15
points · strongest buying stage indicator

Hiring Signals

Open roles in relevant functions — VP of Marketing, Head of Demand Gen, RevOps Manager, Growth Lead — indicate budget, strategic initiative, and the specific buying stage the account is in. A company posting a Head of ABM role is actively building the function your product serves. Trigger plays fire same-week.

LinkedIn JobsClayGreenhouse
Signal 04
10
points · best timing signal

Website Visit / RB2B Deanonymisation

When a named company visits your pricing page, case studies, or solution pages, RB2B identifies the company and writes the signal to HubSpot in real time. Direct intent — the account is actively evaluating you. Combined with Bombora intent, website visits are the strongest two-signal combination in the stack.

RB2BClearbit RevealSnitcher
Signal 05
10
points · immediate budget signal

Funding Events

Series A, B, C raises, revenue rounds, and strategic grants indicate new budget availability and a mandate to grow. Accounts that have just raised are in active buying mode for tools that support their next growth phase. Trigger plays fire within the same week of funding announcement to maximise timing advantage.

CrunchbaseClayLinkedIn
Signal 06
10
points · ICP validation signal

Tech Stack Match

The presence of complementary tools (HubSpot, Salesforce, Outreach, Gong) confirms the account has the infrastructure that makes your product valuable. The presence of competing tools triggers competitor conquest sequences. Tech stack signals validate ICP fit beyond firmographics.

BuiltWithClearbitClay
Signal-Based ABM Outcomes

Real B2B SaaS pipelines.
Built on signal, not guesswork.

No projections. No averages. Exact outcomes from QLA Signal Stack ABM programmes running today.

$4M+
Konnect Insights
Pipeline · 6 global markets · 24 months
Enterprise ABM
$750K
Atomicwork
Pipeline in one quarter · 24 SQLs
Paid + ABM
6.3×
Gumlet
ROAS · $24K ARR won · 2 months
LinkedIn ABM
32%
Signal-Based ABM
Win rate vs 13% list-based ABM
Industry Benchmark
Client Voice

What B2B SaaS teams say about signal-based ABM.

300+ reviews on G2 from companies running the QLA Signal Stack.

"

GrowthSpree brought a level of data-driven rigor to our demand gen that we hadn't experienced before. They didn't just execute campaigns — they built an engine.

S
Shailesh
CEO, B2B SaaS
Shailesh
on building a growth engine

Drop your video embed URL here to play testimonials

Frequently Asked Questions

Everything you need to know about signal-based ABM.

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 in one quarter at Series A) and Konnect Insights ($4M+ pipeline across 6 global markets at enterprise scale).
QLA Signal Stack · Available now

Your target accounts are firing
signals right now.

GrowthSpree runs the QLA Signal Stack — 6-signal account scoring, LinkedIn activation on threshold, signal-triggered outreach — all writing to your HubSpot or Salesforce as pipeline. Month-to-month. Series A and above.

4.9/5 on G2 · 300+ reviews
$50M+ Pipeline Generated
Month-to-Month · No Lock-in
HubSpot + Salesforce Native