How Canadian Cancer Society Used an AI-powered Data Strategy to Weather an Uncertain Fundraising Environment and Decrease Manual Campaign Effort by 80% at Year-End

What if your team could run smarter, more personalized fundraising campaigns in a fraction of the time? That’s the transformation the Canadian Cancer Society (CCS) achieved - cutting campaign management time by 80%, engaging donors more effectively, and proving that automation and AI can elevate results without losing the human touch.
In this practical and inspiring case study, CCS and Dataro share how they reimagined campaign targeting and donor personalization using predictive analytics and workflow automation. By integrating Dataro’s AI directly with Salesforce, the team replaced manual segmentation and guesswork with intelligent audience building and automated selections - powering more efficient, personalized, and impactful fundraising across annual, mid-level, and major giving.
When unexpected postal disruptions hit during a major appeal, CCS used AI insights to pivot instantly to a smarter omnichannel strategy, reaching the right donors through the right channels, at the right time. The results were outstanding: response rates rose 8%, high-propensity midlevel donors responded at 27%, and revenue forecasts landed within 1% of actuals.
Following this success, CCS has now embedded AI automation and an omnichannel approach across its fundraising operations, reducing campaign management effort by 80% and empowering fundraisers to focus on strategy, creativity, and more meaningful donor connections rather than manual data work.

Key Takeaways:
How AI automations cut campaign management effort by 80% while improving targeting precision and results.
Practical steps to build smarter, personalized omnichannel campaigns using predictive insights.
Real-world lessons from the Canadian Cancer Society, showing how AI drives efficiency, agility, and deeper donor engagement.