Marketing operations (MOps) is the function that runs the systems behind modern B2B marketing, managing the tech stack, data, and processes that make campaigns launch smoothly and performance measurable. In this guide, you’ll learn what MOps teams do day to day, the skills and tools they rely on, and how to build an operating model that keeps marketing and revenue aligned as you scale.

Marketo and Salesforce Marketing Cloud solve different problems. Marketo is best for B2B lead nurturing, scoring, and Salesforce alignment. Salesforce Marketing Cloud is best for enterprise, multi-channel journeys at high volume, but requires more technical resources and cost. The article also covers pricing, implementation overhead, and why modern B2B teams increasingly look for alternatives like Conversion when they need CRM + warehouse data working together.

This post breaks down how Salesforce syncing actually works in HubSpot versus Conversion, and why the differences matter for enterprise teams. It walks through campaign syncing, de-duplication, inclusion lists, workflow actions, and sync visibility to show how Conversion is designed for Salesforce-first organizations, while HubSpot’s sync reflects limitations of a HubSpot-centric data model.

Your data warehouse holds the clearest signals of adoption, expansion, and churn risk, but most marketing automation tools still treat it like a flat CSV mapped onto rigid contact fields. This post breaks down why HubSpot’s Snowflake sync stops at basic field ingestion, and how Conversion’s Snowflake sync supports a flexible object-and-event data model (plus AI-powered SQL transforms) so you can run truly warehouse-native upsell and cross-sell automation.

Upsell and cross-sell are now the dominant growth drivers for mature B2B software companies, but most teams still rely on static CRM data and calendar-based outreach to drive expansion. True expansion depends on readiness, and the signals that indicate readiness live inside the data warehouse in the form of real product usage, adoption patterns, and consumption thresholds. When this data is reduced to dashboards or a few Salesforce fields, teams are forced to guess, leading to mistimed outreach, inflated pipeline, and suppressed expansion. Embedding product data directly into marketing automation turns expansion into a predictable lifecycle motion, aligning sales, marketing, and customer success around the same real-time signals.

Learn how to set up critical inbound lead scoring, enrichment, and routing workflows using Conversion.

Learn how to build dynamic, AI-driven closed-lost recovery sequences that reactivate pipeline with the right message at the right time.