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Decile has expanded the capabilities of its AI-powered analytics assistant, Luma, with a new feature that enables ecommerce businesses to generate customer audiences instantly using natural language prompts. The update allows teams to move directly from customer insights to campaign-ready audience segments without relying on manual workflows or technical support.
The launch reflects a broader industry shift toward AI-driven operational intelligence, where businesses are seeking faster ways to turn data analysis into real-time marketing execution.
Turning Conversations Into Actionable Audiences
The latest enhancement enables ecommerce teams to create customer segments directly through conversations with Luma. Instead of manually building audience logic inside analytics or CRM systems, users can simply describe the audience they want to target.
For example, teams can request:
- High-value repeat customers
- Recent purchasers
- Inactive shoppers
- Loyalty-focused segments
- Seasonal buyers
Luma then generates:
- A suggested audience name
- Segment descriptions
- Estimated audience size
- Built-in targeting logic
This allows marketers to quickly prepare segments for campaign activation across multiple channels.
Reducing the Gap Between Insights and Execution
Many ecommerce brands struggle with delays between identifying opportunities and launching campaigns. Traditional audience building often requires collaboration between:
- Analytics teams
- Marketing departments
- Engineering resources
- Customer data platform operators
The new functionality aims to remove these bottlenecks by allowing non-technical teams to generate and activate audiences directly within the platform.
Users can:
- Review generated segments
- Edit naming and descriptions
- Choose dynamic or static audiences
- Save segments instantly
- Push audiences to advertising and marketing platforms
This creates a more streamlined workflow for campaign execution.
AI-Driven Personalization Gains Momentum
As ecommerce competition intensifies, businesses are increasingly investing in AI-powered personalization tools that help:
- Improve customer targeting
- Increase campaign relevance
- Accelerate activation speed
- Reduce operational complexity
- Enhance marketing efficiency
Natural language interfaces are becoming especially important because they simplify advanced analytics tasks for everyday business users.
Rather than navigating complex dashboards or query systems, teams can now interact with data conversationally and receive usable outputs immediately.
Dynamic Audiences for Real-Time Marketing
One of the platform’s key additions is the option to create:
- Static customer audiences
- Auto-refreshing dynamic audiences
Dynamic audiences automatically update based on changing customer behavior and activity, helping marketers maintain up-to-date targeting without manual adjustments.
This is increasingly important for:
- Promotional campaigns
- Retargeting efforts
- Loyalty programs
- Seasonal marketing
- Performance advertising
Real-time audience management helps businesses respond more quickly to customer behavior shifts.
Combining AI Analytics with Campaign Activation
The update also reflects the growing convergence between:
- Customer data platforms (CDPs)
- AI analytics
- Marketing automation
- Advertising activation tools
Instead of separating analysis from execution, platforms are increasingly connecting these processes into a single operational environment.
This allows teams to:
- Discover insights
- Generate audiences
- Launch campaigns
- Measure performance
—all within one workflow.
The Growing Role of AI Analysts in Commerce
AI assistants are evolving beyond reporting tools into operational business systems capable of supporting decision-making and execution.
Modern AI commerce tools now assist with:
- Customer segmentation
- Data interpretation
- Campaign optimization
- Predictive analytics
- Workflow automation
This trend is helping ecommerce companies reduce dependency on manual processes while improving speed and scalability.
Conclusion
Decile’s expansion of Luma’s AI capabilities highlights how ecommerce operations are becoming increasingly automated, conversational, and data-driven. By enabling instant audience generation directly from natural language interactions, the platform helps businesses reduce friction between insight and activation.
As brands continue seeking faster and more intelligent ways to personalize customer engagement, AI-powered audience creation is expected to become an increasingly valuable component of modern ecommerce marketing strategies.
