The database is not a file... it’s the backbone of sustained giving.
Here’s a practical summary of the most common mistakes and what can be done today to protect your organization's relationship with its donors. Each year, my alma mater sends me a letter requesting to join the alumni association or at least to make a donation. Every year, I can only smile wryly at the data they keep about me.
The outer envelope alone reveals the scope of the problem: the address is directed to my maiden name, even though I have been married for over 18 years, and the mailing address is my parents' house, a place I have never lived in; it’s clear they performed an automatic address update, but it was an incorrect update.
Inside, the mistakes become even more apparent: the campus they claim I attended is not the one I actually attended, and the email listed... is not mine, but belongs to my brother's wife, who is also an alum of the same university!
Given my work in fundraising, I can overlook this 'data mess' and still make a donation. But... will other donors be that forgiving? At a time when every organization competes for every dollar in donations, can you afford the cost of neglecting your data management?
Continuing to send mail based on incorrect data is not only financially costly; it also wastes time, damages reputation, and undermines donor trust in you. Therefore, here are six actions you can start implementing immediately to reset your data files and improve their quality:
Your top priority must be the precise management of ongoing donors. After all the effort put into gaining a regular and valuable donor, it’s unfortunate for everything to be lost because their record hasn’t been correctly managed behind the scenes.
1. It is essential to accurately document the donation amount and its frequency, along with removing records that are no longer active or disconnected from the program to avoid distorting your data or confusing your operations.
2. Standardize the way data is entered within your organization's database. Design clear procedures and fixed rules about how to classify and code records. Every staff member dealing with the data should work according to the same guidelines. This way, even if someone leaves, their successor can continue the work without confusion or gaps.
3. Publish data safety policies and best practices to all your staff, from major gift officers to annual fund teams to data managers. The more all departments adhere to the same rules, the greater the chances of keeping your data clean, consistent, and reliable.
4. Once your data management rules are established, it's time to standardize the codes in the system. You may discover that you have ten codes indicating the same meaning. Delete what is no longer in use, and identify the key codes that should remain active: every extra code brings unnecessary clutter.
5. Remove duplicates from your database. It’s likely that a donor will call to complain when they receive two copies of the same message, rather than making two donations. Sending duplicate mail to the same person means wasted money, but be careful: do not delete different records for people living at the same address; they may be separate donors.
6. Conduct an annual data audit. Even after organizing it, you must maintain its quality and review codes, workflows, and input mechanisms to ensure there’s anything that needs amending.
And since data is a living entity that constantly changes, it will never be perfect, but regular auditing ensures it remains in its best possible condition, as well as data cleaning and maintenance is a task that requires time and effort, it has a profound effect on the strength of your relationship with donors and the accuracy of your records.
I believe it’s time to send this article to my old university as they, undoubtedly, need a bit of 'data cleaning' more than ever!
In the end, clarity in data is part of clarity in the relationship with donors, and every correct record rebuilds trust, enhances communication, and facilitates decision-making within the organization. Although data cleaning is an ongoing process rather than a one-time event, investing in it directly reflects on the quality of campaigns and the effectiveness of resources.
Having a disciplined database is not an additional advantage; it is an essential condition for sustained giving and professionalism in work.
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