30 sales-qualified accounts moved into pipeline in 90 Days through signal-based outbound for a contract management SaaS

Client Overview

Our client is a contract management SaaS platform helping businesses manage agreements, approvals, renewals, vendor contracts, customer contracts, and compliance workflows from one central platform.

Their platform is built for teams where contract workflows create approval delays, poor visibility, renewal risk, compliance gaps, and cross-functional friction across legal, procurement, finance, operations, and sales teams.

The Challenge

The client had already identified 300 target accounts in the GCC across UAE, Saudi Arabia, and Qatar in contract-heavy industries including manufacturing, logistics and supply chain, and retail. But the list was static. There was no prioritisation, no intent signals, and no structured way to turn it into a qualified pipeline.

Previous outbound efforts had treated every account the same, converting roughly 2 to 3% of engaged accounts into qualified conversations. Messaging was generic, follow-ups were inconsistent, and the sales team was chasing replies rather than working qualified accounts.

The goal was to move 30-35 sales-qualified accounts into the pipeline within 3 months through a structured outbound motion focused on the right accounts, right personas, and right timing.

What We Did

We designed and executed a signal-based outbound GTM motion combining a scalable 1:many motion with a deeper 1:few motion for higher-intent accounts. The operating framework followed a clear path: signals to intent level to segmentation to personalisation to outbound execution to pipeline.

Account segmentation and intent classification

We started by turning the 300 target accounts into a prioritised outbound universe. Before any outreach began, we ran each account through a multi-layered signal assessment covering account fit signals, first-party signals, account movement signals, buying intent signals, technographic signals, and buying committee signals.

  • Segmented accounts using account fit, industry relevance, use-case fit, buying committee depth, signal strength, and intent level
  • Classified accounts into three tiers:
    • 45 high-intent accounts moved into a deeper 1:few outbound motion — these showed stronger fit, stronger use-case relevance, larger contract workflow complexity, and multiple signal overlaps making them most likely ready for direct sales conversations
    • 105 moderate-intent accounts moved into a segmented 1:many motion, these matched the ICP with relevant industry fit but needed contextual outreach and engagement tracking before being moved into a deeper motion
    • 150 low-intent accounts were eliminated from the motion entirely, they showed weak signals, low immediate urgency, and limited buying committee context, and investing outbound resources on them would have diluted focus from the accounts that were actually ready to engage


This was a deliberate decision. The strength of signal-based outbound is not working every account on the list, it is knowing which ones to focus on and which ones to set aside.

  • Mapped 450 to 600 buying committee contacts across the 150 active accounts covering legal, procurement, finance, operations, compliance, and IT leaders

Industry-level segmentation and messaging

After classifying by intent, we segmented accounts by industry to keep messaging specific to how each industry handles contracts, approvals, vendors, and compliance.

  • Manufacturing accounts were engaged around supplier agreements, procurement approvals, vendor risk, purchase contracts, and compliance documentation
  • Logistics and supply chain accounts were engaged around service agreements, vendor contracts, customer commitments, rate agreements, renewal tracking, and compliance-heavy documentation
  • Retail accounts were engaged around vendor agreements, lease agreements, franchise and partner contracts, supplier terms, procurement approvals, and renewal management


Messaging was then layered by intent level across all three industries.

  • High-intent accounts received direct, problem-led messaging focused on specific contract workflow pain including approval bottlenecks, vendor visibility, renewal risk, and compliance exposure, with a sharper CTA
  • Moderate-intent accounts received contextual, industry-led messaging connecting contract management problems to operational priorities without pushing for a meeting too early

Persona mapping

Each persona in the buying committee received messaging aligned to their specific priorities.

  • Legal leaders received messaging around review delays, contract visibility, and reducing business bottlenecks
  • Procurement leaders received messaging around supplier agreements, vendor risk, and renewal management
  • Finance leaders received messaging around obligations, renewals, and financial risk
  • Operations leaders received messaging around workflow friction and cross-functional visibility
  • Compliance leaders received messaging around documentation, audit readiness, and process consistency
  • IT leaders received messaging around system fit, workflow automation, and integrations

Multi-channel 1:many outbound motion

The 1:many motion ran across the 105 moderate-intent accounts.

  • Cold email for structured account outreach
  • LinkedIn DMs for persona-level engagement
  • Calling for selected priority accounts
  • Follow-up logic based on engagement signals

1:few escalation for high-intent accounts

The 45 high-intent accounts received deeper research, sharper messaging, and more coordinated follow-up.

  • Deeper account research covering account context, industry segment, likely contract management use case, and buying committee mapping
  • Persona-specific pain point messaging with signal-based reason to engage
  • Coordinated email, LinkedIn, and calling sequences with faster follow-up after engagement
  • Sales team received account context, persona context, engagement history, and the reason the account was qualified

Intent monitoring and sales handoff

As outreach went live, account-level engagement was monitored across channels using engagement signals to track how accounts were progressing through the motion.

  • Tracked signals including email replies, link clicks, LinkedIn profile views, connection acceptance, DM responses, call conversations, and multiple stakeholders engaging from the same account
  • As engagement deepened, accounts moved through a clear intent progression, from moderate-intent to high-intent to active engagement to sales-ready, with each stage triggering a different follow-up approach, messaging depth, and channel intensity
  • Accounts reaching sales-ready status were handed over with account summary, industry segment, persona engaged, use-case context, engagement history, main pain point, and suggested next step


Every handoff gave the sales team a qualified account with full context, not just a name.

The Results

Three months of structured, signal-based outbound execution against a clearly segmented 150-account universe.

  • 30 sales-qualified accounts moved into pipeline within 90 days from a focused list of 150 accounts
  • 20% conversion from active accounts to pipeline, up from 2 to 3% in the previous outbound motion
  • 450 to 600 buying committee contacts mapped and engaged across legal, procurement, finance, operations, compliance, and IT


Starting with 300 accounts, eliminating the 150 that showed no real buying signals, and focusing all outbound resources on the 150 that did, that is what made the conversion rate possible. Signal-based outbound does not work because you reach more accounts. It works because you reach the right ones, with the right message, at the right time in their buying journey.

The Results

The Results

30

sales-qualified accounts added to pipeline

20%

conversion from active accounts to pipeline

8X

higher conversion compared to previous outbound approach