Always say thank-you!
Gratitude is contagious. Gratitude is biblical.
Research has shown that people will give 40% more if thanked and acknowledged. Without timely, meaningful and sincere thanks combined with detailed information on the impact of their donations, charitable organizations can lose as much as 60% of annual givings from donors within a one year period and over time, donations may drop by 80% to 90%. Most donors would appreciate a simple phone call thanking them for their donation.*
“For where your treasure is, there your heart will be also.”
Here are a few ideas:
- Session members could call everyone in January thanking them for their time, talents and treasures. They do not need to know how much was given; they only need to be provided with names and phone numbers. This is a simple way to say thank-you and enjoy a conversation with people in your church.
- Personal, hand written notes can be sent out with annual tax receipts.
- Include photos and stories of the impact the donation is having in your thank-you letters so people can see God at work.
- And remember—never combine a thank you with an additional “ask.” You want your thanks to be sincere and genuine and not seen as a way to ask for more money.
Just as God has been abundant and generous with each one of us—we can empower the generosity that already exists in every human heart.
* Burk, Penelope. “Saying Thank You the Donor Centred Way.” Thanks!: A Guide to Donor-Centred Fundraising. Burlington: ON, 2000. 46.
Contents & Links
“One Person gives freely, yet gains even more…”
For assistance creating thank-you letters, we invite you to review the resources listed below.
“Encouraging Generosity in Ministry— Inspire, Ask, Thank”
Practical tips on how your communications can help build a culture of generosity and increase support for your church. How are you inspiring people to give? How are you asking? How are you saying thank you?
Thank-You Letter Examples
Examples of “thank you” letters that you can review for inspiration, structure, and wording. Each sample says “thanks” in a different way, depending on a few variables.