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Donor Reactivation with AI Agents.

Spot lapse risk early and re-engage each donor with a personal, timely ask on the channel they respond to, before the relationship goes cold.

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use case · MEVA workflow STEPS Detect signal Load context Reason Act Resolve Write back WF A workflow, end to end From trigger to resolution, automatically → MEVA: detects, decides, acts, and logs TR Trigger detected Cart, ticket, or signal fires DN Done end to end No human handoff needed MEVA WORKFLOW STATE → Full customer context loaded → Action taken in your systems → Outcome written back to CRM

The problem

Reactivating a lapsed donor costs far less than acquiring a new one, yet most lapse quietly. Three reasons reactivation fails:

Silent lapse

Donors drift away with no warning and no outreach until the annual report shows the gap.

Generic appeals

Mass appeals ignore each donor's history, cause affinity, and reason for giving.

Staff bandwidth

Small teams cannot manually segment and re-engage thousands of donors one by one.

The Ephanti approach

Predictive donor reactivation: flag lapse risk early, then re-engage each donor with a personal, timely ask tied to the cause they care about.

How it works

  1. Trigger. A lapse-risk model flags a donor by recency, frequency, and engagement.
  2. Segment. The Donor Reactivation Agent groups by giving history, cause affinity, and channel preference.
  3. Personalise. The message ties to their past support and a recent program update from the cause they funded.
  4. Engage. Send across email and SMS, and answer questions conversationally.
  5. Convert. Share a one-tap giving link with a suggested amount based on their history.
  6. Log. Gift and interaction sync to Salesforce NPSP or Bloomerang.

A real scenario

A donor who gave $500 last year has not engaged in eleven months. The Donor Reactivation Agent flags the lapse risk, sends a personalised email and SMS with a recent program update tied to the cause they funded, and suggests a renewal. The gift comes back at $750, with no staff time spent on manual segmentation.

Outcomes

Reactivated
Lapsed donors re-engaged
80%
Less manual segmentation
0
Added staff hours
Synced
NPSP · Bloomerang

Where this use case applies

Nonprofits

Primary use case. Pre-tuned in the Nonprofits Solution.

All industries

Variant: lapsed-customer win-back for any subscription or repeat-purchase business.

FAQs

Which donor systems does it work with? ⌄

Salesforce NPSP, Bloomerang, and DonorPerfect, with two-way sync of gifts and interactions.

How is lapse risk predicted? ⌄

From recency, frequency, and engagement signals already in your donor CRM, scored continuously so outreach fires before a donor is gone.

Is the messaging compliant? ⌄

Only opted-in donors are contacted, opt-out is one click, and a full consent trail is kept.

Can we set the suggested ask logic? ⌄

Yes. Suggested gift amounts are configured by giving history and capacity; the defaults work for most teams.

See donor reactivation on your data.

Book a demo and we will walk through Donor Reactivation on your real donor history.

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