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.
Alternatives to Manual SQL Segmentation
Five ways to build SFMC audiences without hand-writing SQL, what each approach is genuinely good at, and where each one runs out of room.
Why Marketing Ops Teams Are Adopting AI
SFMC audience requests pile up because they all route through SQL. Why marketing ops teams are adopting AI, and what it actually changes day to day.
QAiry vs Manual SQL: Building Audiences in SFMC
Hand written SQL or conversational AI for SFMC audiences? A candid look at where each approach wins and where the real time savings come from.
Best Ways to Build Audiences in Salesforce Marketing Cloud
Filtered data extensions, SQL queries, Audience Builder, or Data Cloud? A practical look at the four ways to build an audience in SFMC, and when each one breaks.
How Non-Technical Marketers Can Build SFMC Audiences
A practical look at what marketers can build alone in SFMC, where the no-code tools stop, and how to describe an audience so it holds up in production.
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.
