Our Approach

We treat Go-to-Market (GTM) as an engineering problem — not just a marketing function. Our framework is built around three stages that define, automate, and scale your revenue operations.

Limited Scalability
Blueprint

We begin with a diagnostic assessment — identifying ICPs, buyer journeys, and growth gaps. Then we map your data and tech stack to create an actionable GTM architecture.

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Build

We connect your ERP, CRM, MAP, and analytics layers, setting up automation, routing, and AI enablement. The result is a GTM engine that moves leads from intent to opportunity without friction.

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Run

We operate and optimize your system through sprint-based RevOps. With SLAs, scorecards, and AI-driven orchestration, every channel and handoff is monitored, measured, and improved continuously.

Our Capabilities

Disaster Recovery

Data Engineering for GTM

  • Unified customer profiles and enrichment pipelines
  • Identity resolution and reverse ETL workflows
  • Warehouse models (BigQuery, Snowflake, dbt)
  • BI dashboards (Looker, Power BI, Tableau)
Increased Security

RevOps-as-a-Service

  • Fractional Head of RevOps with sprint-based delivery
  • Weekly performance reviews and QBRs
  • Continuous optimization through data and AI
Improved Accessibility

Sales Operations

  • CRM optimization (Salesforce, HubSpot, Odoo)
  • Pipeline visibility and stuck-stage detection
  • SLA tracking and territory alignment
  • Forecast accuracy dashboards
Scalability & Flexibility

AI-Powered Automation

  • Predictive lead scoring and smart routing
  • Personalized outreach powered by LLMs
  • Workflow automation (Make, Zapier, Tray)
  • AI quality monitoring and anomaly detection
Enhanced Efficiency

Marketing Operations

  • MAP setup and refactors
  • Lifecycle automation and orchestration
  • Multi-touch attribution and deliverability hardening
  • Data enrichment and deduplication

Pain to Performance

Challenge Solution Measured Impact
Leads drop between marketing and sales Intelligent lifecycle automation Routing latency under 5 minutes
Lack of reliable attribution Unified data models and UTM governance 90%+ revenue traceability
Deliverability and domain issues Domain reputation management and warm-up plan 2% bounce rate
Unreliable forecasts Stage compliance and pipeline coverage models ±10% forecast accuracy
Data silos across platforms Golden record management and data governance 98% clean CRM lifecycle

Our GTM Pods: Run Like DevOps

Pod Type Objective Roles Included
GTM Build Pod Stand up your GTM infrastructure in <45 days GTM Architect · RevOps Engineer · Growth Hacker
Pipeline Acceleration Pod

Run outbound + paid acquisition motions

SDR Automation Lead · Copy/AI Ops · Ad Strategist

Revenue Office Pod (Fractional CRO)

Own pipeline health, forecasting & ROI

CRO · Data Engineer · Automation Director

Why Choose Softbay

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Integrated by Design

Our team bridges ERP, CRM, and MAP systems to ensure your GTM stack operates as a single ecosystem.

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AI Embedded in Every Layer

AI isn’t an add-on — it’s wired into how we run orchestration, forecasting, and decision-making.

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Outcome-Driven Execution

We define SLAs for every function — from routing latency to attribution accuracy — so your GTM results are always measurable.

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Flexible Engagement Models

Choose between blueprint consulting, sprint-based build, or ongoing RevOps operations depending on your internal team’s maturity.

Our Success Story

Check out our claims through real numbers.

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Client Satisfaction

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Successful Deployments

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Downtime Reduction

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Scalability Achievements

Industries We Serve

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B2B SaaS

Scaling ARR through unified revenue architecture

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Fintech

Improving forecasting accuracy and lifecycle visibility

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Industrial & Manufacturing Tech

Integrating ERP-to-CRM-to-MAP for faster quote-to-cash

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IT & Consulting Firms

Automating GTM operations and demand generation


Case Studies

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14th August 2023