Static donation amounts treat every supporter, source, and campaign the same.
Growth optimization
Campaign management software for improving asks, offers, and donor follow-up
Use Campaign management software with AI optimization, A/B Testing, and Machine Learning signals to improve donation amounts, recurring upgrades, and campaign conversion.
Campaign management software is most useful when it helps fundraisers make a better ask at the right moment. OpenFundraise connects donor behavior, source context, checkout activity, and completed gifts so optimization is grounded in real fundraising outcomes.
Instead of guessing which amount, upsell, or follow-up will work, teams can test practical alternatives, learn from supporter response, and improve future campaigns without turning the fundraising team into a data science team.
Campaign signal
Revenue journey
AI optimization for donation asks
A/B Testing for campaign offers
Machine Learning-informed follow-up
OpenFundraise connects
Source
Donor
Gift
The problem
Growth work stalls when teams have to guess
Post-donation offers and recurring prompts often appear without enough donor context.
A/B Testing can become too manual to influence live campaigns when data is scattered.
Benefits
Make Campaign management software practical for fundraising teams
Improve the ask
Use AI optimization and Machine Learning signals to shape suggested amounts, recurring prompts, and add-on offers.
Test without busywork
Run A/B Testing around asks, copy, offers, and recovery paths with reporting tied to donation outcomes.
Follow up with context
Use checkout behavior, donor history, and campaign source to decide who should receive recovery, upgrade, or stewardship messages.
How it works
A simple path from campaign launch to better decisions
AI optimizationA/B TestingMachine Learning-informed recommendations
1
Choose what to improve
Select donation amounts, recurring prompts, add-on offers, checkout recovery, or follow-up automation.
2
Compare real donor response
Use A/B Testing and conversion reporting to see which version produces gifts, upgrades, and retained supporters.
3
Apply the learning
Use results to improve future checkout flows, SMS sends, email follow-up, and campaign offers.
Use cases
Where fundraising teams use this
Test suggested donation levels for a campaign audience.
Prompt one-time donors to become recurring supporters after a successful gift.
Recover abandoned checkouts with more relevant follow-up.
Offer add-on donations or campaign upgrades without making checkout feel pushy.
Why OpenFundraise
Built for the full fundraising journey
Donation checkout, SMS, attribution, donor profiles, integrations, and dashboards work from the same campaign record.
Fundraisers can use AI optimization, A/B Testing, and Machine Learning insights without needing technical reporting language.
Every page, link, message, and follow-up can connect back to the donor journey and completed revenue.
FAQ
Questions fundraising teams ask
Does this require technical setup by the fundraising team?
No. OpenFundraise presents optimization in campaign terms: asks, offers, conversion, upgrades, and follow-up.
What can be optimized?
Donation amounts, suggested levels, recurring prompts, post-donation upsells, add-on offers, checkout recovery, and campaign follow-up can all be improved.
Is this based on real donation behavior?
Yes. Optimization is tied to supporter behavior, checkout activity, completed gifts, recurring upgrades, and campaign context.
See how OpenFundraise can support your next campaign.
Bring checkout, attribution, SMS, donor intelligence, and recurring growth into one fundraising workflow.