By subject
The network organized by subject. Each topic gathers every episode that covers it, across all eight shows.
| Topic | Description | Episodes |
|---|---|---|
| Revenue Operations | The discipline of aligning marketing, sales, and success operations around a single revenue engine — process, data, and systems. | 8 |
| Artificial Intelligence | Applying language models and AI-assisted work to real revenue operations, from drafting to reasoning over CRM data. | 7 |
| HubSpot | Architecture, APIs, and ecosystem practices for building serious GTM systems on HubSpot. | 7 |
| AI Tooling | The practical tools — Claude, connectors, context engineering — that make AI useful in day-to-day operations work. | 6 |
| CRM Strategy | Choosing, structuring, and governing the customer record so it stays a durable asset rather than a maintenance burden. | 6 |
| Business Process Design | Designing the sequences of work — lead handoff, deal stages, renewals — that software is supposed to encode. | 5 |
| GTM Technology | The stack that powers go-to-market: CRM, enrichment, orchestration, analytics, and everything wired between them. | 5 |
| Automation | Workflows, triggers, and orchestration that remove manual steps without hiding how the process actually works. | 4 |
| Leadership Interviews | Conversations with the operators, founders, and executives building modern revenue organizations. | 4 |
| Software Engineering | Writing and maintaining the code behind integrations, extensions, and internal GTM tooling. | 4 |
| Solution Architecture | Designing the shape of a system — data models, boundaries, and middleware — before writing the code. | 4 |
| Systems Integration | Connecting CRMs, data warehouses, and operational tools so information moves reliably between systems. | 4 |
| Executive Leadership | Treating technology decisions as a core executive responsibility rather than something delegated and forgotten. | 3 |
| Reporting & Analytics | Turning operational data into decisions — attribution, pipeline, forecasting, and the metrics leaders actually use. | 3 |
| Software Buying | Evaluating, procuring, and owning GTM software — build-versus-buy, vendor trust, and total cost of ownership. | 3 |
| APIs | Working with platform APIs to read, write, and extend CRM and GTM systems programmatically. | 2 |
| Context Engineering | Giving AI systems the right information, structure, and constraints to produce trustworthy output. | 2 |
| RevPlatform | RevOps HQ's product suite for building and operating GTM technology on top of HubSpot and adjacent systems. | 2 |
| Data Modeling | Structuring objects, associations, and properties so the CRM reflects the real business. | 1 |
| UI Extensions | Building custom interfaces inside CRM record pages so teams work where the data already lives. | 1 |