See where every supporter stands, and know exactly what to do next.
Every donor is on a path
Some people just signed up for your newsletter last week. Others gave their first gift two months ago. A handful have supported you every month for five years. Each of them needs a different kind of attention, and most CRMs leave you guessing who is who.
3D Donor Intelligence classifies every contact in your database on a five-stage spectrum from Contact to Champion, and keeps that classification current as people engage, give, and grow. Under the hood, a machine learning engine trained on 1.2 million anonymized donor datapoints does the work for you, so your team always knows who needs attention today.
Five-Stage Clarity
Every contact lands on a clear spectrum: Contact, Prospect, First-Time Donor, Recurring Donor, and Champion. You always know where a relationship stands without digging through records.
Machine Learning That Reads the Signals
Trained on 1.2 million anonymized donor datapoints from real fundraising teams, the engine continuously analyzes giving patterns, communication activity, and engagement history to keep every contact in the right stage.
Automatic Stage Changes
When a prospect becomes a first-time donor or a recurring donor goes quiet, 3D updates instantly. You see the shift the moment it happens, not weeks later when you finally run a report.
Private by Design
Your data stays yours. The training set is fully anonymized, and your organization's records are never shared, sold, or used to benefit another team.
From data to the right next move.
Karani bridges your online giving and donor management in one simple connection. Every transaction flows directly from Stripe or Paystack into Karani, ready for follow-up, reporting, and reconciliation.
Key highlights:
- Five-stage donor classification updated in real time
- ML engine trained on 1.2 million anonymized datapoints
- Clear suggested next steps tied to each stage
- Automatic detection of lapsing donors and rising champions
- Fully anonymized training data and private organizational records
FAQ
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