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Understanding Donor Segmentation in Que

  • October 9, 2025
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Feature Overview: EveryAction’s Donor Segmentation

 

 

Donor Segmentation with Que

Que’s Donor Segmentation skill helps fundraisers generate strategic, ready-to-use donor lists using both built-in DonorTrends models and custom natural language queries. Drawing on predictive analytics, historical giving behavior, and now real-time query interpretation, Que supports two powerful ways to build audiences:

  • Pre-built, model-driven segments (e.g., lapsed donors, sustainer prospects)

  • Custom segments created from plain-language prompts (e.g., giving behavior, location, activist codes, email status, and saved lists)

Within the chat interface, users can ask Que to:

  • “Find lapsed donors likely to return.”

  • “Show me donors who gave more than $100 this year in California.”

  • "Show me people who have a subscribed email address who live in Boston."

  • "Find everyone on my Major Donor Saved List but only show those who live in Boston."

Que translates these requests into structured queries, returning a previewable, ready-to-use segment with key stats like audience size, average gift, and recency. Users can review how the segment was built, refine it through follow-up prompts, or open it in Create a List for deeper customization.

 

What can Donor Segmentation with Que do for you? 

Que’s Donor Segmentation skill helps Marcus, a Major Gifts Associate at a national education nonprofit, quickly identify donors worth prioritizing for outreach. With the quarter ending soon, Marcus opens Que and types: “Can you help me find donors who might be ready to give more?”

Que responds with a model-driven segment of mid-level donors likely to upgrade, including key stats like segment size, average gift, and lifetime value, along with an explanation of why they’re a strong audience. Marcus then refines his targeting by asking: “Only show those who gave at least $250 this year and live in New York.”

Que updates the segment in real time, showing the revised audience and clearly displaying the filters used. Marcus previews the list, removes a few names already in stewardship, and saves it for outreach. No spreadsheets. No manual filter building. Just fast, flexible segmentation.

 

Key Features at a Glance

 

Feature

Description

Suggested Prompts

Donor Segmentation

Generate strategic, ready-to-use donor segments using built-in DonorTrends models. Ideal for common fundraising goals like reactivation and upgrades.

  • Find lapsed donors likely to return.

  • Create a list of sustainers who have not given this year. 

Custom Segmentation

Build ad-hoc donor segments using plain language. Que translates requests into Create a List filters across supported fields like contributions, activist codes, location, email address, and saved lists.

  • Show me donors who gave more than $100 this year.

  • Find contacts in Maine who gave between $500–$1,000.

  • Show me people with the [activist code name] Activist Code. I'm building a targeted email campaign.

Email Address Filters

Find segments based on a contact's email address and its attributes, such as subscription status or when the address was added.

  • Show me people who have a subscribed email address who live in Boston. / Find contacts whose email address was added in the last 6 months.

My Saved Lists Filters

Query against an existing Saved List to further refine or cross-reference your audience.

  • Find everyone who is on my Major Donor Saved List but only show those who live in Boston.

Exclude Step

Build more complex queries by defining an audience and then removing a subset based on separate criteria, all in a single query.

  • Show me people who live in Massachusetts but not those who live in Boston.

  • Show me people who gave in the last 5 years but not in the last year.

Segment Transparency and Preview

View how your segment was built, including applied filters, audience size, and key stats before using it.

  • How was this segment created?

  • Name the specific segment filters used.

Iterative Refinement

Refine segments through follow-up prompts without starting over.

  • Only include donors in California.

  • Narrow this list to those who have given at least twice before.

Create a List Integration

Open segments in Create a List with filters pre-applied for advanced editing, saving, and reuse across workflows.

You will see a button to “Edit in Create a List.”

 

What do you want to do next? 

Interested in learning how Bonterra keeps your data safe? Read more about Bonterra's AI Responsibility and Data Security Practices here. 

Ready to dive into Donor Segmentation now? Access these ‘How do I’ articles:

Want to learn more about Que Skills? Check out the Que Skill Index here.

Not what you are looking for? Return to Understanding Que here.

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