Estimates are labeled as estimates
Modeled propensity and any estimated signal are shown with their model, confidence, and freshness — never presented as facts or as a guarantee of future giving.
Dana Kim
Household: Kim / Alvarez · Owner: J. Ford · Recurring donor
Lifetime giving
$2,480
Largest donation
$500
Last donation
$25
Apr 2 · recurring
Donations
34
since 2022
Suggested ask · donor-reviewed
$150
Based on largest donation ($500), recent $25 monthly cadence, and 24 months of history. A starting point for your ask — you can adjust it.
Modeled propensity · estimate
Model v2.3 · scored Apr 9 · not a guarantee of future giving
Bring giving history, contact context, modeled propensity, compliance position, and next-step guidance into one reviewable donor record.
The operating loop
Giving history, contact context, household, and ownership live on a single canonical record. Ambiguous identity matches are surfaced for review rather than merged automatically, so a fundraiser always decides who is who.
Dana Kim
Household: Kim / Alvarez · Owner: J. Ford · Recurring donor
Lifetime giving
$2,480
Largest donation
$500
Last donation
$25
Apr 2 · recurring
Donations
34
since 2022
Suggested ask · donor-reviewed
$150
Based on largest donation ($500), recent $25 monthly cadence, and 24 months of history. A starting point for your ask — you can adjust it.
Modeled propensity · estimate
Model v2.3 · scored Apr 9 · not a guarantee of future giving
A 12-month view of donations, cadence, and source shows how someone actually gives — one-time, recurring, or pledged. Filter by donation type and see the next scheduled date so follow-up fits the relationship.
Donations · last 12 months
Recurring · next May 2By source
Monthly Sustainers Drive
Recurring
Spring Match Appeal
One-time
Year-End Appeal
One-time
What's recorded sits apart from what's modeled. Propensity shows as a decile and percentile with its model version, confidence, and freshness — plus the factors behind it. A fundraiser can accept or override, because estimates are guidance, not facts.
Observed · from records
Estimated · modeled
Why this score
Needs reviewA fundraiser can accept or override this estimate. Estimates are guidance, not facts.
Rank donors by last donation, lifetime, propensity, suggested ask, and owner, then filter and save the view as a cohort. Suggested asks are deterministic starting points a fundraiser can adjust before reaching out.
Decile is a modeled estimate · save this view as a cohort for call time · demo data
Modeled propensity and any estimated signal are shown with their model, confidence, and freshness — never presented as facts or as a guarantee of future giving.
Ambiguous matches are surfaced side by side with confidence and reasons. A person approves or keeps them separate — there is no automatic donor-to-voter merging.
Suggested asks are deterministic guidance from giving history, editable before any outreach. They are not commitments or promises of what a donor will give.
Donor Intelligence does not guarantee wealth accuracy or market any display as autonomous AI generation. Guidance supports fundraiser judgment; it does not replace it.
Every donation, signal, and next step on one reviewable donor record.