FAQs
- Learning more about Dataro Ranks and Scores
- What are the definitions for each Dataro model?
- Can I add a single new propensity to my subscription?
- Understanding RG Churn: How do you calculate donors ‘saved’?
- Understanding the Dataro Score & Rank Graphs
- How does Dataro estimate campaign net revenue and ROI?
- Can I compare results from different campaigns?
- How do I tell if Dataro's predictions worked?
- How does Dataro calculate recommended campaign size?
- Does Dataro apply exclusions or other logic when providing propensity scores?
- Are my appeal propensity scores specific to Direct Mail or do they also include eDM?
- What exclusions should I apply to my RG churn campaign?
- Why do some regular givers with a 'terminated' or 'inactive' gift still have a churn score?
- How can I help Dataro improve the tagging of my gifts and transactions?
- What propensity models are available?
- Can I integrate Dataro with Raiser’s Edge 7 or Blackbaud CRM?
- Do you work directly with other suppliers like our call centre?
- What does Dataro do to help me acquire new donors?
- How do I use machine learning to increase mid-level giving?
- I'm interested in regular giving churn. What's the best method to reduce churn?
- What if I want to add a long-lapsed segment to my warm or cold appeal?
- How does Dataro compare to tools like Salesforce's Einstein?
- Do you apply exclusions or suppressions to your scores?
- Which donors are in the 'active universe' that the model selects from?
- How can I run an A/B test using the Dataro scores?
- How can I check that I have the latest predictions in my CRM?
- I have a specific campaign in mind. Can Dataro help me with a custom propensity model?
- I'm concerned about privacy. Do you collect and process personal information about my donors?
- Do you use the same models for all organisations?
- Do you match my donors or data with other charities?