Newsletters
Send to people, not email lists.
Create beautiful newsletters, target exactly who should receive them, and understand what happens after you hit send, all connected to the people already in Benevolate.
Send to people, not email lists
Segment, Send, Measure
The problem
Your communications shouldn’t live in another system.
Your contacts already live in Benevolate. Their memberships, donations, registrations, households, programs, and history do too. So why export them somewhere else just to send an email?
- Jane · already registered
- Leo · unsubscribed
- Maya · still current
- Members
- Gave this year
- Not already registered
The send, measured
Track whether people actually read it.
Each newsletter has its own statistics page. Staff can see who opened, who left it unread, what bounced, and which links produced a click, without exporting the campaign somewhere else.
The builder
Build almost anything.
Start from a template or assemble the issue yourself. Headings, images, buttons, columns, and branded sections sit on a canvas, no code, and the design can be saved for the next send.
Insight
Turn communication into insight.
A click is not just a campaign statistic. Because the send is attached to the same people as giving and membership, Benevolate AI can ask who opened, who ignored it, and who still has not given, and return households, not a CSV.
FAQ
Questions teams actually ask
Do we still need Mailchimp?
If the audience is Benevolate, you should not be maintaining a second source of truth just to send email. We will map what you still need during implementation.
How do unsubscribes work?
Unsubscribe has to stick to the person. It should not be a column that dies when the next CSV is uploaded.
Can we see opens, clicks, and bounces after we send?
Yes. Delivery, opens, clicks, bounces, and unsubscribes belong on the send, and a click should be useful context for fundraising and membership, not only a campaign statistic.
Your communications shouldn’t live in another system.
Reach the right people without maintaining duplicate lists or disconnected data.