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.
What Happens When Marketers Stop Writing SQL
What actually changes when natural language replaces SQL for SFMC audience building: the skills that gain value and the guardrails that must move.
How QAiry Works
A look under the hood at QAiry: how it maps your SFMC data, drafts SQL from a natural-language brief, and returns an audience you can send.
How Multilingual Marketing Teams Work in SFMC
Locale, culture code, shared data extensions and SQL filters: how multilingual teams really run campaigns in SFMC, and where segmentation quietly breaks.
How QAiry Builds Production-Ready Audiences
A look at what separates a query that returns rows from an SFMC audience a campaign can actually send from, and how QAiry handles the gap.
Scaling Audience Management Across Business Units
Multi-brand SFMC orgs hit the same wall: audiences that work in one business unit break in another. Here is what actually scales, and what does not.
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.
