Greenpeace called the right monthly donors and cut quiet attrition by 15%

Greenpeace is an independent global campaigning organisation. Like many nonprofits, Greenpeace depends on recurring donors for reliable revenue, but donor attrition can quietly erode long-term impact.

Greenpeace wanted to move from a reactive churn approach to a proactive retention motion that identified at-risk donors early and intervened before cancellation or lapse.

Key results

• 10% reduction in churn over 3 months for donors who received a telephone intervention

• 15% reduction in churn over 6 months for donors who received a telephone intervention

• Dataro’s churn prediction estimates were within 2% of actual outcomes

• Churn model accounted for both active churn (cancellation) and passive churn (lapse after missed gifts)

The story

Focus: stop waiting for churn to happen

Greenpeace knew retention is typically more cost-effective than acquisition.

But the existing process relied on waiting for a churn event, then trying to win donors back.

The team needed a way to identify who was likely to churn in the next 3–6 months, so outreach could be focused and timely.

Engage: predict churn risk and test interventions

Dataro used machine learning to train a propensity model that ranked donors by likelihood to churn.

The model considered:

• Active churn: donors cancelling their gift

• Passive churn: donors lapsing after missing three monthly gifts

Greenpeace then ran a proactive retention experiment with 2,000 donors.

• 500 donors were allocated to each intervention channel: phone, email, or SMS.

• A control group received no intervention.

Donors were selected based on Dataro’s churn predictions, which were also tested historically to estimate accuracy.

Next: scale the channels that reduce churn, with confidence in model accuracy

After the campaign, Greenpeace compared churn outcomes for the telephone group against the control group.

Telephone interventions reduced churn by 10% over three months and 15% over six months, increasing expected lifetime value for retained donors.

Dataro’s predicted outcomes were also highly accurate, coming within 2% of the actual results, giving Greenpeace a foundation to operationalize proactive retention.

Takeaways

A proactive retention approach starts with prioritization.

With churn predictions and measured interventions, teams can:

• Identify at-risk recurring donors earlier

• Focus outreach on donors where intervention is most likely to matter

• Measure channel impact with a control group

• Reduce churn and protect long-term donor value