Designing High-Impact Annual Appeals
Event Details
This webinar is offered in partnership with Common Good Vermont.
This interactive, hands-on workshop is designed for nonprofit professionals, volunteers, and board members who want to take their annual appeal to the next level. This session focuses on sharpening strategy, deepening donor-centered messaging, and expanding your annual appeal toolkit to increase engagement and response.
Participants will learn how to gain clarity on the purpose of an appeal, explore what truly motivates donors to give, how to center a compelling and authentic case for support around the donor, and how to strengthen the structure, tone, and clarity of their ask. We’ll also dig into how to align your message across different outreach channels to create a cohesive campaign—and where to personalize.
This workshop emphasizes practical application: participants will actively work on their own appeal during the session, receive guidance and feedback, and leave with clearer messaging, stronger framing, and concrete next steps they can immediately implement.
For More Information:
Cost + Registration
- MANP Members save 10%!
- Individual Session: $40.50 Members | $45 Nonmembers
- Full Series: $126 Members | $140 Nonmembers
- Teams (up to 4): $300 (Members + Nonmembers)
- When registering, please enter "Maine Association of Nonprofits" in the Referring State Nonprofit Association box and use coupon code ncnmembers at checkout to receive the member rate.
- This is a virtual event. You will receive an email with a Zoom link in advance of the event
Individual Session Registration
About the Presenter
With over fifteen years in nonprofit development, Katherine Sims (she/her) builds comprehensive fundraising strategies that empower small and mid-sized nonprofits to hone their systems and grow their impact. As both a practitioner and a consultant, Katherine has raised millions of dollars for organizations large and small. Katherine is committed to social change, equity & building a more just world for all.