🎯 Donor Segmentation: Build Lists with Natural Language
Creating donor lists just got dramatically easier.
You can now generate ad-hoc custom segments using natural language, not just predefined Actionable Insights searches or CAL queries.
Just tell Que what you need!
Example Prompts
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“Show me contacts who have given more than $100 this year.”
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“I need a list of contacts who haven’t given yet in 2026 who have the Major Donor activist code and live in Boston”
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“Create a list of donors in Maryland who have given $500–$1000.”
What’s Supported
This milestone supports a the most commonly used Create a List fields for nonprofit fundraising, including:
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Contributions
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Activist Codes
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Addresses
You can:
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See the exact filter logic Que generates
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Preview segment size and basic stats
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Review before committing to use this list for outbound communication
Hand off the query to Create a List for manual refinement and saving
Help Center Resources
🧠 Long-Term Memory: Que Remembers Previous Conversations
Que now retains context across conversations automatically. The more you work with Que, the better Que gets at understanding your organization, your specific work, and your work preferences.
Your organization details, your goals, your role, any corrections that have been made, and your preferences—Que retains all of these and uses them without being asked. This feature was built with a privacy-first approach in mind: memories are stored at the individual user level and never shared. Users can see, edit, or delete what Que remembers at any time.
If you want to see or manage what Que remembers, you can ask Que directly. And if you ever want to delete information from Que’s memory, you can! If you ever have the need to wipe everything, that’s possible too with an extra confirmation step.