The Hidden Cost of Dirty Donor Data
A major gifts officer spends 20 minutes before each donor call reviewing the record — only to discover it's incomplete, outdated, or the wrong person entirely. A year-end appeal goes to 3,000 donors. Two hundred are deceased. Eighty are lapsed donors who specifically requested removal from the list. Forty receive it at an old address that returns their letter. The appeal costs the same to send. The returns are lower than they should be.
Donor data quality isn't an IT problem. It's a fundraising problem.
The Four Data Quality Issues That Cost Nonprofits Money
1. Deceased donors A letter to a deceased donor is not just a waste of postage — it's a serious relationship-damaging event for the family. Major gift officers know the donors who need to be marked deceased and their estates contacted instead. But in many organizations, this information never gets entered in the database.
2. Duplicate donor records The same donor appears twice: once from an online gift and once from a mail gift. They receive two thank-you letters. Their giving history is split between two records. Their cumulative giving doesn't cross the threshold that would trigger a major donor cultivation. You may have more major donor prospects than you realize, hidden in duplicate records.
Sohovi automatically finds every duplicate in your dataset — including near-matches — and shows you exactly which rows are affected.
3. Wrong addresses The NCOA (National Change of Address) database captures moves within 48 months. Running your mailing list through NCOA processing annually keeps addresses current. Without it, you're mailing to people who moved years ago.
4. Incorrect solicitation flags A donor who asked to receive only one communication per year is getting quarterly appeals. A donor in a "do not solicit" status is receiving a major gift proposal. These errors have real relationship consequences — not just data cleanliness consequences.
The Revenue Calculation
Estimate the cost of your data quality problems:
- How many records in your database are duplicates? (Industry average: 15–25%)
- How much does your average appeal cost per piece?
- How many of those pieces go to bad addresses or deceased donors?
- How many of your "lapsed" donors might actually be active donors whose second record you don't know about?
This math typically reveals that a data quality investment pays for itself in the first appeal.
