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.
The Future of Audience Creation in SFMC
Audience creation in SFMC is moving from hand-written SQL toward natural language. What changes, what stays the same, and how to keep segments sendable.
Why Marketers Still Depend on IT in SFMC
Why building audiences in SFMC still routes through IT, the SQL and data views behind the bottleneck, and how it is starting to change.
How Global Teams Manage Segmentation in SFMC
Running SFMC across regions and business units? Here is how global teams share data, control permissions, and keep segmentation consistent.
The Problem with Static Audiences in Salesforce Marketing Cloud
Static audiences in SFMC quietly go stale. Here is why data extensions drift, what filtered extensions really do, and how to keep segments current.
How to Reduce Campaign Build Time in SFMC
Campaigns run late because building them is slow, not the send. Practical ways to cut campaign build time in SFMC by reusing the work you already have.
Can AI Replace SQL for Marketing Teams?
Can AI replace SQL for marketing teams in SFMC? A realistic look at what AI handles, what still needs SQL, and how the workflow changes.
Why Data Extensions Become Unmanageable in Large SFMC Orgs
Retention is opt-in, naming conventions decay, and nothing marks a table as abandoned. Why SFMC data extensions sprawl, and what reduces it.
SFMC SQL Query Examples for Marketers
Practical SFMC SQL query examples for marketers, from recent openers to bounce suppression lists, using the data views you already have in your account.
Natural Language Segmentation Is Replacing SQL
Describe an SFMC audience in plain words instead of writing SQL. How natural language segmentation works, what it speeds up, and what it does not fix.
