Article
Mastering B2B Buying Groups with Hierarchies & Persona Scores
Buying Group Best Practices
As most B2B sales and marketers know, the vast majority of our contacts at any target account don’t have the power to buy our products. Figuring out the handful of people who do have that power is critical to ensuring that your highly-personalized content and precision outreach actually leads to revenue.
A buying group, typically, is a composition of various business leaders and stakeholders who play different roles in the decision-making process at a company. Identifying buying groups in B2B sales and marketing is crucial for targeting the right individuals within an organization who influence the purchasing decision.
Identifying buying groups in B2B sales and marketing generally requires a combination of data analysis, outreach, and ongoing engagement with multiple stakeholders within an organization.
By understanding the roles and influence of each member in the buying group, you can tailor your sales and marketing efforts to address their specific needs and ultimately drive more effective and efficient sales processes.
How to Identify B2B Buying Groups:
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The Hidden Revenue Tax: 10 Ways Enterprise GTM Teams Lose with Disconnected Data
Enterprise B2B go-to-market (GTM) teams don’t struggle because they lack tools. They struggle because their customer data lives everywhere, but doesn’t work correctly anywhere.
CRM. Marketing automation. Enrichment vendors. Intent platforms. Sales engagement. Data warehouses. Acquired company databases. Regional instances.
Each system holds a piece of the puzzle but none of them independently point towards the same truth. When customer data is fragmented, siloed, and static, the consequences surface exponentially.
Here’s what that really looks like inside an enterprise GTM organization.
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How GTM Teams Can Future-Proof Their Data Architecture for 2026 – 2030
B2B go-to-market teams are entering a new era defined by AI-driven execution, buying group complexity, and real-time buyer signals. Yet most GTM data architectures still rely on fragmented systems, static enrichment, and lead-centric models that cannot support modern revenue operations.
How GTM Teams Can Future-Proof Their Data Architecture for 2026–2030 explores the structural shift reshaping B2B GTM and outlines the data architecture required to support identity resolution, buying group intelligence, AI-ready workflows, and real-time signal activation.
This eBook provides a practical roadmap for building a resilient, enterprise-grade GTM data foundation without disrupting your existing CRM, MAP, ABM, or analytics stack.
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Why Data Governance Is Now a Revenue Function
For a long time, data governance lived in the background of the business.
It sat inside IT. Sometimes legal. Occasionally security... It was something you needed for compliance audits, privacy policies, and system hygiene, but it rarely gets associated with pipeline creation or revenue performance. If anything, governance was seen as something that slowed go-to-market teams down. It was an approval layer or process hurdle that prevented a campaign from launching this week.
But that mental model was built for a very different GTM environment than the one enterprise revenue teams are operating in right now.
