GTM Process Design
Designing step-by-step processes for pipeline generation and closure, including ICP/persona definition, qualification criteria, territory models, and forecast methodologies.
Union Square Consulting (USC) specialises in Go-To-Market (GTM) strategy and AI engineering for B2B technology companies. They focus on designing processes, implementing systems, and analysing metrics to create predictable revenue engines. Their services aim to improve pipeline reliability, forecasting accuracy, and team performance, leveraging technology and AI workflows.
Visit website ↗Provides strategy-first RevOps-as-a-service: GTM architecture, analytics, tech, AI (Salesforce/H... as embedded, ongoing support — ask them directly how hand-off works if you later bring it in-house.
“Union Square Consulting operates by designing processes and implementing systems to transform GTM strategies into predictable revenue engines for B2B tech clients.”
Union Square Consulting (USC) assists B2B technology companies in optimising their Go-To-Market (GTM) strategies to achieve predictable revenue. They focus on establishing GTM processes, implementing relevant systems, and analysing performance metrics. Their approach aims to build a robust GTM engine that enables teams to operate effectively without constant direct oversight, thereby improving forecasting accuracy and operational consistency. USC collaborates with venture capital firms and their portfolio companies, suggesting a focus on growth-oriented B2B tech businesses.
The company's core offering, the 'GTM Operating System', is modular, allowing clients to select components based on their existing capabilities. This system addresses challenges such as inconsistent CRM data, lack of business visibility, misaligned sales and marketing efforts, and disjointed tech stacks. USC integrates AI engineering to develop workflows that amplify operational effectiveness through defined processes and clean data, rather than automating inefficient practices.
Designing step-by-step processes for pipeline generation and closure, including ICP/persona definition, qualification criteria, territory models, and forecast methodologies.
Identifying key metrics, building infrastructure for data capture, and delivering insights through funnel conversion analysis, forecast accuracy tracking, and win/loss analysis.
Implementing and optimising GTM systems such as Salesforce, HubSpot, Outreach, Salesloft, ZoomInfo, Clay, and AI tools.
Building AI workflows based on defined processes and clean data to amplify operational results.
Utilising frameworks like the GTM Efficiency Pyramid to assess operational maturity and prioritise improvements.