Non-profits can optimize donor outreach by segmenting donors in Excel based on giving frequency and average gift size, enabling targeted campaigns with minimal IT overhead. This page outlines practical steps, tools, and safeguards to implement this using off-the-shelf software. For similar data-workflows, see our AI use case for catering companies using Excel to scale recipe ingredient quantities based on changing guest counts and AI use case for travel agencies using Excel to generate custom trip itineraries based on a traveler’s interests checklist.
Direct Answer
Use donor data in Excel or Google Sheets to compute giving frequency and average gift per donor, then segment by frequency buckets and gift-size thresholds. Generate targeted lists for email campaigns, newsletters, or grant storytelling, and refresh data with simple auto-imports. For more advanced scoring or personalized outreach, GenAI prompts can suggest tailored messages. This approach uses familiar tools and scales with your donor base.
Current setup
- Donor data is stored in a CRM such as HubSpot or in spreadsheets, and can be exported to Excel for processing or opened directly in Google Sheets.
- Giving frequency is often calculated manually or with basic formulas, and average gift size is derived from the donor’s total gifts divided by the number of gifts in a period.
- Segments are created by simple thresholds (e.g., high/medium/low frequency; small/medium/large average gifts).
- Lists are exported for use in email tools or CRM campaigns; updates may be batch- processed monthly or quarterly.
- Updates from the CRM or donation platform to the spreadsheet are done manually or via basic integrations, with dashboards kept for program staff.
What off the shelf tools can do
- Data integration and automation: Zapier or Make to pull new donations from your CRM into Excel or Google Sheets on a schedule.
- CRM and database management: HubSpot, Airtable, or Notion to store donor records and link segment exports to outreach workflows.
- Spreadsheets and calculation: Excel and Google Sheets support pivot tables and formulas to compute frequency, average gift size, and segment membership without coding.
- Collaboration and alerts: Slack or WhatsApp Business integrations to notify fundraisers when a donor enters a target segment.
- Communications: Gmail or Outlook for sending targeted campaigns, with templates driven by segment data.
- Documentation and knowledge: Notion for maintaining segment definitions, prompts, and runbooks; Airtable for lightweight donor catalogs with related campaigns.
- GenAI-enabled drafting (optional): ChatGPT or Claude can help draft personalized messages or subject lines based on segment characteristics.
Where custom GenAI may be needed
- Propensity scoring: Build a more nuanced donor propensity score than simple frequency/gift thresholds, using historical data to predict next-year giving likelihood.
- Personalized messaging: Generate tailored outreach content that aligns with donor history, interests, and engagement signals while maintaining compliance and tone guidelines.
- Campaign optimization: Create prompts that suggest optimal segmentation refinements, timing, and channel mix based on past campaign performance.
- Quality assurance: Use GenAI to draft audit notes or explain segmentation choices for governance reviews, reducing manual review time.
How to implement this use case
- Define segmentation criteria: decide the frequency buckets (e.g., 1–2 gifts/year, 3–6 gifts/year) and gift-size thresholds (e.g., <$100, $100–$499, $500+).
- Consolidate data: export donor history from your CRM, de-duplicate records, and ensure fields for donor ID, gift date, and gift amount are consistent.
- Compute metrics: in Excel or Google Sheets, calculate giving frequency per donor and average gift size, then create segment labels based on your criteria.
- Build segments and export lists: create a separate sheet or table for each segment and export as CSV for import into your email tool or CRM campaigns.
- Automate refresh (optional): set up a lightweight automation (Zapier or Make) to pull new donations into the sheet on a chosen cadence, with error handling and logging.
Tooling comparison
| Aspect | Off-the-shelf automation | Custom GenAI | Human review |
|---|---|---|---|
| Data accuracy and freshness | Good with scheduled pulls; depends on data source quality | Can improve scoring, but requires validation | Necessary for governance and final approval |
| Speed and scale | Fast for predefined rules and large datasets | Can adapt to new patterns but needs monitoring | Slower; best for final checks |
| Personalization | Rule-based; limited personalization | High potential for tailored messages | Ensures tone and compliance |
| Setup complexity | Low to moderate with no-code tools | Moderate to high; requires model prompts and prompts governance | Low; mostly review and approve |
| Governance and compliance | Documented rules needed | Prompts require oversight to avoid bias or leakage | Critical for policy adherence |
Risks and safeguards
- Privacy: ensure donor data handling complies with applicable laws and your privacy policy; minimize PII exposure.
- Data quality: validate imports, deduplicate records, and periodically audit segment definitions.
- Human review: maintain governance by requiring a reviewer for final segment approvals and messaging.
- Hallucination risk: if using GenAI for messaging or scoring, constrain prompts with guardrails and verify outputs against known donor data.
- Access control: limit who can view donor data and who can run automations; use role-based permissions.
Expected benefit
- Better-targeted outreach based on actual giving behavior rather than generic segmentation.
- Improved efficiency by automating repetitive data processing and list generation.
- Clearer insights for program planning and donor stewardship strategies.
- Faster campaign response times through refreshed donor segments.
FAQ
Do I need coding to implement this use case?
No. The approach relies on existing CRM data, Excel or Google Sheets, and no-code automation tools to create segments and refresh data.
What data fields are needed?
Key fields include donor identifier, gift date, and gift amount. Optional fields like donor tier, channel, or campaign can enrich segmentation.
How often should data be refreshed?
Start with a quarterly refresh for stewardship programs; shift to monthly or real-time if donation volume and automation support it.
Is this compliant with privacy regulations?
Yes, if you follow your privacy policy, limit data exposure, and obtain required consents for communications and data processing.
Will GenAI help with messaging?
GenAI can draft personalized messages, but outputs should be reviewed for accuracy, tone, and compliance with fundraising guidelines.
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