Fundraising · Outbound

Gift Thank-You Calls

Calls donors to thank them soon after a gift, and sends a thank-you text or email when the call ends, so every donor is thanked by phone and in writing.

The challenge

Thanking every donor promptly is simple to describe and easy to let slip.

Where it breaks down:

Thank-you calls wait behind appeals and events.


What it costs:

Donors wait weeks to hear a word of thanks, if they hear one at all.

Staff can only thank the largest gifts personally.


What it costs:

First-time and smaller donors feel like numbers.

A thank-you call leaves nothing in writing.


What it costs:

The donor has no note to keep or share.

The approach

We built it around gratitude first: thank, don't ask.

  1. A thank-you call has one job: say thank you, and mean it.
  2. A short written note afterward gives the donor something to keep.
  3. First-time donors are the ones most easily left behind.

The agent had to:

  1. Reach donors soon after their gift.
  2. Thank them without asking for more.
  3. Follow up in writing when the call ends.
The solution

A RevAIvo Voice agent that thanks donors by phone, then by text or email when the call ends.

1

Thanks first

Opens with gratitude for the gift, using the details your records give it. It doesn't ask for more unless you've scoped it to.

2

In writing too

When the call ends, a thank-you goes out by text or email, depending on how the call went.

3

Listens

Records any comment, question, or request from the donor and flags it for your team.

4

Questions go to your team

Anything about a pledge, a problem, or a larger gift is passed to your team.

It brings in your team when…

Scoped narrow on purpose. Where you've set a number it can connect the caller; otherwise it logs a callback request for your team.

  • The donor reports a problem with their gift or a receipt.
  • The donor asks about a major gift or planned giving.
  • The donor asks to stop receiving calls. The request is recorded for your team.
  • The donor asks for a person.

What the call sounds like

Illustrative exampleNot a recorded call
Agent

Hi, is this Jordan? This is a call from the Lakeview Annual Fund. I'm calling to say thank you for your recent gift. It makes a real difference.

Donor

Oh, that's kind of you. I wasn't expecting a call.

Agent

We wanted you to hear it directly. Is there anything you'd like to know about how gifts like yours are used?

Donor

No, I'm good. Thanks for calling.

Agent

Thank you again, Jordan. I'll send you a short thank-you note when we hang up.

Afterward: The details here are made up for illustration. There's no ask on this call. The note goes out when the call ends, and the call is in Pulse with its outcome.

Sent after the call

TextWhen the call ends

Thank you again for your gift to the Lakeview Annual Fund, Jordan. It really does make a difference. The Lakeview Annual Fund team

Message wording is illustrative. It goes out when the call ends, based on how the call went.

What changes for your team

An illustrative scenario:

200thank-you calls a month your team wouldn't have to make
17 hoursof staff time back each month
Every calllands in RevAIvo Pulse with its outcome, ready to review

Say your team handles 500 thank-you calls a month, and the agent takes 40% of them end to end, at an assumed 5 minutes a call. These figures are assumptions for illustration, not customer results.

In a pilot we measure this with you, on your own calls in RevAIvo Pulse: calls connected, when donors pick up, and outcomes by disposition.

The result

Every donor thanked promptly, by phone and in writing, without pulling your fundraisers off their asks.

Gratitude that scales, with a person for anything beyond it.

Similar use cases

All fundraising use cases

Hear it on your own scripts.

Book a live call and we'll scope this to one call type, using your own scripts and rules.

Book a live call

These use cases are illustrative and for informational purposes only. The organizations, people, phone numbers, links, and messages shown are fictional examples, and any resemblance to real businesses or individuals is coincidental. Scenario figures are assumptions, not customer results. Actual results depend on your call volumes, scripts, and setup.