The signal is already in your file. The donor most likely to give next, the lapsed supporter most likely to come back, the segment ready for a specific ask. The question isn’t whether it exists — it’s whether anyone on your team sees it before the window closes.
What Avid already knows
Between campaigns, Avid keeps running — the file shifting, patterns forming. By the time your team is ready to act, Avid has already done the work between the work.
Now those patterns surface as ranked audiences, ready to act on. The capability is called propensity modeling — Avid scoring every donor in your file by how likely they are to take a specific action, then ranking them so the team knows exactly who to prioritize.
The donor most likely to start recurring in the next 60 days, the lapsed supporter most likely to come back, the segment most likely to respond to disaster relief or education or healthcare. Not predicted. Recognized — Avid knows what your file looked like before donors took those actions, and it knows which donors look like that right now.
From recognition to campaign
The audience is only the start.
Once Avid identifies who’s ready, the work continues — the segment flows into Pathways, the campaign takes shape inside Playbooks, touchpoints drafted in your voice. And as donors give, lapse, or upgrade, the audiences update themselves.
By the time your team is ready to act, the campaign is mostly already there. What’s left is the work only a fundraiser can do.
Where it matters most
The recurring conversion ask, sent before the window closes — not after.
The reactivation budget spent on the lapsed donors most likely to come back, not the ones who happened to lapse most recently.
The appeal that lands because the audience was built around theme affinity, not sent to everyone and hoped for the best.
The channel routing that follows what each donor actually responds to.
Each one is the same pattern: recognize what’s true now, act on it inside the same system, build on what worked the next time around.
The system doesn’t predict. It recognizes and it runs.
Propensity modeling isn’t a standalone feature — it’s one part of how the fundraising operating system works. The system runs continuously, carrying what it knows into every campaign. The window doesn’t have to close before anyone sees it open.
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