Insights on AI and the Future of Marketing
Explore expert perspectives, practical strategies, and real-world use cases on AI-powered marketing, customer engagement, Salesforce Marketing Cloud, and audience personalization.
How to Find Unengaged Contacts in SFMC
A practical guide to finding unengaged contacts in SFMC: the SQL pattern over _Sent, _Open, and _Click, how to refine it, and what to do next.
How to Build Dynamic Audiences in SFMC
Build dynamic audiences in SFMC using Filtered Data Extensions, SQL Query Activities, and Automation Studio patterns that stay fresh in production.
What Conversational AI Means for CRM Teams
Natural language is replacing SQL inside CRM platforms. Here is what conversational AI changes for marketers, admins, and the daily flow of work.
How to Build a Reactivation Audience in SFMC
How to build a reactivation audience in SFMC that holds up: defining the unengaged window, picking join keys, layering exclusions, and wiring the journey.
5 SFMC Segmentation Mistakes That Hurt Deliverability
Stale lists, soft-bounce blindness, weak suppression joins, timezone bugs in date windows: five segmentation patterns that quietly hurt SFMC deliverability.
How AI Generates SQL for Salesforce Marketing Cloud
A look under the hood at what it takes for AI to write SQL that actually runs inside Salesforce Marketing Cloud, not just SQL that compiles on a blank page.
How to Query Data Views in Salesforce Marketing Cloud
A practical guide to querying SFMC Data Views — _Open, _Click, _Sent, _Bounce — with real SQL examples and the 2026 retention changes that matter.
Why Salesforce Marketing Cloud Segmentation Takes So Long
Discover why Salesforce Marketing Cloud segmentation becomes a bottleneck for marketing teams and how AI is changing audience creation in SFMC.
SFMC Segmentation Without SQL: The 2026 Guide for Marketers
SFMC marketers can build audience segments in 2026 without writing SQL with a decision tree that picks the right tool for your team size, budget, and tech stack.
