DIY Donor Wealth Screening: Free Techniques for Political Campaigns
Learn DIY donor wealth screening using free public records, property assessors, LinkedIn, and FEC data. Step-by-step guide for zero-budget campaigns.
When your campaign budget is tight and every dollar counts toward voter contact, paying for commercial wealth screening services isn't an option. DIY donor wealth screening lets you identify high-capacity supporters using free public records, government databases, and open-source tools—no subscription required.
Political campaigns and nonprofits use DIY screening to prioritize major donor outreach without spending hundreds or thousands on third-party prospect research platforms. You gain full control over data quality, update frequency, and screening criteria while building institutional knowledge about your donor base. The tradeoff is time: manual screening takes hours per donor compared to automated services, but for small lists or targeted major gifts work, the cost savings justify the effort.
Organizations that conduct prospect research see a 41% higher average gift size compared to those that don't.
Double the Donation (doublethedonation.com)
This guide walks you through building a zero-budget wealth screening process using property records, FEC data, LinkedIn profiles, and business registrations. You'll learn how to assess capacity, avoid legal pitfalls, and integrate findings into your fundraising pipeline.
What Public Records Reveal About Donor Capacity?
Start with property tax records—they're free, public, and reveal actual assessed values, not estimates. Every county assessor maintains online databases showing current ownership, purchase price, assessment history, and sometimes mortgage information. Search by donor name and address to identify real estate holdings in your jurisdiction.
Property records provide concrete wealth indicators. A $2.5 million home suggests different capacity than a $400,000 condo. Look for multiple properties, recent upgrades that trigger reassessment, and purchase prices above market comps—signs of discretionary wealth. County clerk records also show deed transfers, trust ownership, and property tax payment history.
Business filings through your Secretary of State's office identify donor ownership stakes in corporations and LLCs. Search the business registry by individual name to find registered agent listings, officer positions, and ownership percentages. This costs nothing and reveals entrepreneurial activity that may not appear in employment databases.
For donors in publicly traded companies, SEC EDGAR searches show executive compensation, stock grants, and insider trading filings. Search by individual name under Form 4 (insider transactions) and proxy statements (DEF 14A) to quantify equity holdings and annual compensation packages.
Public property records are accessible under state open records laws and do not require special authorization to access for legitimate research purposes.
LinkedIn profiles supplement financial records with employment history, board memberships, and professional networks. Search for executive titles, company affiliations, and nonprofit board service. A donor listed as "Partner" at a major law firm or "Managing Director" in private equity signals higher capacity than their property holdings alone might suggest.
Google News archives and local business journals provide qualitative context—major gifts announced, company acquisitions, awards, and community involvement. Set up Google Alerts for high-priority prospects to catch new wealth events automatically.
| Data Source | Wealth Indicator Type | Lookup Time Per Donor | Geographic Coverage | Data Freshness |
|---|---|---|---|---|
| County Property Records | Real estate value, ownership | 10–15 minutes | County-level only | Annual assessments |
| FEC Contribution Data | Political giving history | 5–8 minutes | National | Daily updates |
| Secretary of State Business Registry | Business ownership, officer roles | 8–12 minutes | State-level only | Quarterly to annual |
| LinkedIn Professional Profile | Employment, title, board service | 3–5 minutes | Global | User-updated (variable) |
| SEC EDGAR Filings | Executive compensation, stock holdings | 15–20 minutes | National | Quarterly filings |
How Do You Translate Data Points Into Capacity Ratings?
Raw data means nothing without interpretation. Real estate holdings tell you current assets; FEC giving history tells you demonstrated willingness to contribute politically. Combine both to estimate capacity and inclination.
For real estate, apply regional multipliers. A $1 million home in San Francisco signals different wealth than the same value in rural Iowa. Use Zillow or Redfin to verify current market values against assessed values—assessments lag by years in many jurisdictions. Multiple properties, especially investment real estate or vacation homes, multiply capacity estimates.
The FEC publishes all contributions over $200 to federal candidates, PACs, and parties, creating a complete giving history for politically active donors.
Business ownership requires more inference. A 25% stake in a $10 million revenue company doesn't mean $2.5 million liquid wealth—most small business value is locked in operations. Look for industry multiples, recent exits, or refinancing events that create liquidity. A recent business sale appears in local news or SEC filings if the buyer is public.
FEC contribution data provides the most direct capacity proxy for political campaigns. If a donor gave $5,800 to a Senate race last cycle (the individual maximum), they've already demonstrated both capacity and willingness at that level. Search FEC.gov by donor name and employer to find complete federal giving history. Look for patterns: consistent maximum contributions across cycles suggest sustainable capacity, not one-time gifts.
Stock portfolios are hardest to assess without insider access. SEC Form 4 filings show executive stock transactions but only for company insiders. For everyone else, LinkedIn title combined with public company equity compensation norms provides rough estimates. A VP-level executive at a Fortune 500 tech company likely holds $500K–$2M in vested equity based on industry benchmarks.
Red flags include: mismatched names (verify you're researching the right person), outdated employment information (cross-check multiple sources), and making assumptions from limited data. One expensive house doesn't prove capacity if it's heavily mortgaged or inherited. Multiple confirming indicators build confidence; single data points don't.
Step-by-Step: Manually screening donor wealth using property records, business registrations, LinkedIn profiles, and FEC giving history
1. Start with county property records – Search your county assessor's online database using the donor's full name and known address to identify all real estate holdings with assessed values.
2. Check Secretary of State business registrations – Search the state business registry by individual name to find companies where the donor serves as registered agent, officer, or member.
3. Review FEC contribution history – Visit FEC.gov and search the donor's name with employer information to pull complete federal political giving records for capacity benchmarking.
4. Analyze LinkedIn employment and networks – Review the donor's LinkedIn profile for current title, company size, board memberships, and professional credentials that indicate income level.
5. Search SEC EDGAR for executive compensation – If the donor works for a public company, search EDGAR by name to find proxy statements showing salary, bonuses, and equity grants.
6. Compile findings into a capacity scorecard – Assign numeric scores (1–5 scale) for real estate, business ownership, giving history, and employment indicators, then weight and total the scores.
7. Document sources and dates – Record the URL, access date, and specific data point for every finding to enable verification and future updates.
What's the Best Format for a DIY Screening Scorecard?
Build a simple spreadsheet with these columns: Donor Name, Real Estate Score (1–5), Business Ownership Score (1–5), FEC Giving Score (1–5), Employment/Title Score (1–5), Total Weighted Score, Notes, Sources, Last Updated. Weight each category based on your confidence in the data and relevance to your donor pool.
For real estate, score 1 for renters or modest homes under $300K, 3 for $500K–$1M, 5 for $2M+ or multiple properties. For FEC giving, score 1 for no history, 3 for occasional $500–$1,000 gifts, 5 for consistent maximum contributions. Business ownership gets 1 for employee, 3 for small business owner, 5 for documented major equity stakes or exits.
Employment scoring depends on title and company: 1 for entry/mid-level, 3 for manager at Fortune 500 or small business owner, 5 for C-suite at large company or named partner at professional firm. Adjust weights by local market—tech executives in Silicon Valley score higher than similar titles in lower-cost markets.
Calculate a weighted total: FEC giving history deserves higher weight (30–40%) because it's demonstrated behavior, not inferred capacity. Real estate and employment each carry 25–30%. Business ownership gets 10–20% unless you have concrete valuation data. A donor scoring 18+ out of 25 total points merits major gifts outreach; 12–17 is mid-level; below 12 stays in general pool.
Update profiles quarterly or after major gifts. FEC data refreshes daily; property assessments annually; LinkedIn profiles change when donors update them. Set calendar reminders to review your top 50 prospects every quarter.
For campaigns processing hundreds of ActBlue exports monthly, manual screening doesn't scale. Kit Workflows automates donor profile enrichment by pulling FEC history, employment data, and giving patterns directly from your exports—giving you the intelligence without the manual lookup time. Start a 14-day free trial to see how systematizing profile enrichment compares to DIY methods when your donor list grows beyond 200 active prospects.
How Do You Screen Donors While Staying Legally Compliant?
The Fair Credit Reporting Act (FCRA) restricts how you use consumer credit reports, but it doesn't apply to publicly available information you compile yourself. You can access property records, FEC data, and LinkedIn profiles without FCRA authorization because these are open sources, not consumer reporting agency data.
FCRA regulations apply only when a third party compiles consumer information for you; self-conducted research using public records falls outside FCRA scope.
Federal Trade Commission (ftc.gov)
State privacy laws vary. California's CCPA doesn't restrict nonprofit fundraising research, but it does require transparency about data collection if donors ask. Document your sources so you can disclose where information came from if requested. Never access protected databases, hack social media accounts, or misrepresent your identity to obtain records.
Ethical boundaries matter even when legal ones don't apply. Don't surveil donors' homes, contact employers for verification, or dig into personal health or family matters. Stick to what's voluntarily public: property ownership, business registrations, political contributions, and professional profiles donors choose to share.
Document your research process and train staff on boundaries. Create a written policy stating which sources are approved and which are off-limits. Review findings with a second person before acting on them to catch misidentifications—donors with common names get mixed up constantly in manual research.
What Mistakes Should You Watch For in DIY Screening?
Misidentification tops the list. "John Smith" in FEC data may not be your John Smith, especially in large states. Cross-verify using employer, city, or zip code. Check middle initials and ages if available. Finding a $3 million home assigned to your donor's name feels exciting until you realize it's a different person entirely.
Outdated information creates false confidence. Property sales from five years ago don't reflect today's assets if the donor sold and downsized. LinkedIn profiles get abandoned; people change jobs without updating them. Always note the date you accessed each source and flag stale data. FEC records are current, but property assessments lag 1–2 years behind market reality.
Confirmation bias leads you to cherry-pick data supporting high capacity ratings while ignoring contradictory signals. The donor has an expensive house but also maxed-out political giving for years—that's high capacity. The donor has an expensive house but zero FEC history and a mid-level job title—that's ambiguous, possibly inherited wealth or mortgage-heavy. Don't inflate scores based on one impressive data point.
Spreadsheet errors compound when formulas break or data entry mistakes go uncaught. Validate totals manually on a sample, especially weighted scores. One reversed formula makes your entire priority list wrong. Use data validation rules to prevent impossible values (scores above 5, negative numbers).
Compare your DIY findings against actual donor behavior over time. If you rate someone a 5 for capacity but they consistently give $100, either your screening missed something or your ask strategy needs work. Adjust your scorecard weights based on which indicators actually predict giving in your specific donor pool.
How Do You Move From Research to Fundraising Action?
Screen results mean nothing until you act on them. Segment your donor file into tiers: major gifts prospects (top 10% by capacity score), mid-level ($500–$2,500 potential), and general pool. Build contact plans for each tier with appropriate touches, channels, and ask amounts.
For top prospects scoring 18+, assign a specific fundraiser to manage the relationship. Plan at least 3–4 cultivation touches before asking: personal email, phone call, event invitation, then solicitation. Use your research to personalize outreach—mention their business, neighborhood, or past political support to show you've done homework.
Mid-level prospects (scores 12–17) get structured email campaigns with targeted asks based on their giving history. If FEC data shows $1,000 gifts historically, ask for $1,500 as a stretch. If they're property-wealthy but have no giving history, start lower ($500) and build the relationship over time.
General pool donors stay in broadcast campaigns unless behavior changes. Monitor for wealth events: new FEC filings, business acquisitions, property purchases that move them up the scoring ladder. Set alerts for top prospects so you catch these signals in real time.
Test your screening accuracy by tracking conversion rates. Do high-scoring prospects actually give at higher rates or amounts? If not, your scorecard weights need adjustment or your outreach strategy isn't working. Review your top 20 non-responders quarterly to identify research gaps or relationship problems.
For campaigns scaling beyond manual methods, learn how low-cost commercial screening tools compare to DIY approaches in accuracy and time investment. When your prospect list grows to 500+ active donors, systematizing profile enrichment automates what you're now doing manually.
Link DIY screening to your broader prospect research on a budget strategy. Manual wealth research works best for targeted major gifts work on small lists. For ongoing donor intelligence across hundreds of supporters, automation saves hours you can redirect to actual fundraising conversations.
Frequently Asked Questions
What Public Records Reveal About Donor Capacity?
Property tax records reveal actual assessed values and ownership details through county assessor databases. Business filings through Secretary of State offices identify ownership stakes in corporations and LLCs. SEC EDGAR searches show executive compensation and stock holdings for donors in publicly traded companies. LinkedIn profiles supplement financial records with employment history and board memberships. Google News archives and local business journals provide qualitative context about major gifts, company acquisitions, and community involvement.
How Do You Translate Data Points Into Capacity Ratings?
Combine real estate holdings, FEC giving history, business ownership, and employment data into a weighted scorecard. For real estate, apply regional multipliers and verify current market values. FEC contribution data provides the most direct capacity proxy, showing both capacity and willingness. Business ownership requires inference based on industry multiples and liquidity events. Stock portfolios can be estimated using LinkedIn titles combined with industry equity compensation norms. Multiple confirming indicators build confidence; single data points should not drive decisions.
What's the Best Format for a DIY Screening Scorecard?
Build a spreadsheet with columns for Donor Name, Real Estate Score (1-5), Business Ownership Score (1-5), FEC Giving Score (1-5), Employment/Title Score (1-5), Total Weighted Score, Notes, Sources, and Last Updated. Weight FEC giving history highest (30-40%) because it demonstrates actual behavior. Real estate and employment each carry 25-30%. Business ownership gets 10-20% unless you have concrete valuation data. Donors scoring 18+ out of 25 merit major gifts outreach; 12-17 is mid-level; below 12 stays in general pool.
How Do You Screen Donors While Staying Legally Compliant?
The Fair Credit Reporting Act (FCRA) does not apply to publicly available information you compile yourself. You can access property records, FEC data, and LinkedIn profiles without FCRA authorization. Never access protected databases, hack social media accounts, or misrepresent your identity. Stick to what is voluntarily public: property ownership, business registrations, political contributions, and professional profiles donors choose to share. Document your sources and create written policies for approved research methods.
What Mistakes Should You Watch For in DIY Screening?
Misidentification is the top error—verify donors with common names using employer, city, or zip code. Outdated information creates false confidence; always note access dates and flag stale data. Confirmation bias leads to cherry-picking data that supports high capacity while ignoring contradictory signals. Spreadsheet errors compound when formulas break or data entry mistakes go uncaught. Compare DIY findings against actual donor behavior over time and adjust scorecard weights based on which indicators actually predict giving.
How Do You Move From Research to Fundraising Action?
Segment your donor file into tiers based on capacity scores: major gifts prospects (top 10%), mid-level ($500-$2,500 potential), and general pool. Assign specific fundraisers to top prospects and plan 3-4 cultivation touches before asking. Mid-level prospects get structured email campaigns with targeted asks based on giving history. Monitor for wealth events like new FEC filings or property purchases that move donors up the scoring ladder. Test screening accuracy by tracking conversion rates and adjust scorecard weights based on actual giving behavior.