Education
25 columns
85 rows
8 formats

Donor Engagement Metrics Nonprofits

This dataset provides a comprehensive view of donor engagement for educational nonprofits, including detailed donor profiles, communication histories, donation patterns, campaign responses, and lifecycle tracking. It is designed to help organizations optimize outreach, improve donor retention, and maximize fundraising effectiveness through actionable metrics and insights.

last updated 12 Dec 2025
by GoMask

The brief that made it

Optimizing donor outreach strategies and communication channels

Sample rows

preview · 8 of 85 rows · all 25 columns

donor_idstring	donor_lifecycle_stagestring	engagement_scorefloat	donor_countrystring	donor_first_namestring	donor_last_namestring	donor_emailstring	donor_phonestring	donor_street_addressstring	donor_citystring	donor_statestring	donor_postal_codestring	communication_channelstring	last_communication_datedate	communication_frequency_30dinteger	total_donations_countinteger	total_donations_amountfloat	last_donation_datedate	average_donation_amountfloat	donation_frequency_12minteger	campaign_idstring	campaign_response_typestring	campaign_response_datedate	retention_statusstring	notesstring
DNR0001	active	88.7	USA	Emily	Nguyen	emily.nguyen1@edunonprofit.org	+1-212-555-0192	1024 Park Ave	New York	NY	10028	email	2024-05-07	5	8	800	2024-05-01	100	7	CMP202405A	donated	2024-05-01	retained	Responds well to email campaigns.
DNR0002	recurring	92.6	USA	Carlos	Gomez	carlos.gomez@edufuture.org	+1-312-555-0178	200 W Lake St	Chicago	IL	60601	sms	2024-06-03	3	19	1900	2024-06-01	100	12	CMP202406B	shared	2024-06-01	retained	Frequent SMS responder.
DNR0003	major	77	UK	Sophia	Martinez	s.martinez@learn4all.org	+44 20 7946 0956	88 Queen St	London	London	SW1A 1AA	event	2024-04-15	2	3	12000	2024-04-15	4000	2	CMP202404C	attended_event	2024-04-15	retained	Major donor, prefers events.
DNR0004	first-time	41.5	USA	Jamal	White	jamal.white@edchange.net	+1-617-555-0101	18 Beacon St	Boston	MA	02108	social_media	2024-06-05	1	1	30	2024-06-01	30	1	CMP202406D	clicked	2024-06-01	at-risk	Engaged via Instagram ad.
DNR0005	active	72.3	India	Priya	Patel	priya.patel@helpedu.org	+91-22-2345-6721	501 Residency Rd	Mumbai	MH	400001	email	2024-05-28	4	5	250.5	2024-05-27	50.1	5	CMP202405E	donated	2024-05-27	retained	Consistent supporter.
DNR0006	recurring	90.2	USA	Olivia	Lee	olivia.lee@kidslearn.org	+1-415-555-0154	912 Mission St	San Francisco	CA	94103	email	2024-06-02	6	14	1120	2024-06-01	80	10	CMP202406F	donated	2024-06-01	retained	Monthly recurring donor.
DNR0007	lapsed	15.9	USA	Benjamin	Carter	ben.carter@edunonprofit.org	+1-202-555-0133	3300 M St NW	Washington	DC	20007	direct_mail	2024-03-20	0	6	360	2023-11-25	60	0	CMP202311A	ignored	2023-11-25	lost	No donation since last fall.
DNR0008	active	82.4	South Korea	Anna	Kim	anna.kim@learn4all.org	+82-2-3456-7890	55 Gangnam-daero	Seoul	Seoul	06101	phone	2024-05-30	3	9	900	2024-05-28	100	8	CMP202405G	clicked	2024-05-28	retained	High engagement via calls.
DNR0009	recurring	85.8	USA	Ethan	Smith	ethan.smith@edchange.net	+1-305-555-0172	601 Ocean Dr	Miami	FL	33139	email	2024-06-04	5	11	990	2024-06-02	90	9	CMP202406H	donated	2024-06-02	retained	Regular monthly donor.
DNR0010	prospect	29.2	UAE	Fatima	Al-Farsi	fatima.alfarsi@eduimpact.org	+971-4-445-1234	210 Sheikh Zayed Rd	Dubai	Dubai	00000	social_media	2024-05-31	1	0	0	blank	0	0	CMP202405I	ignored	2024-05-31	at-risk	No donations yet.
DNR0011	active	75.6	USA	Lucas	Johnson	lucas.johnson@kidslearn.org	+1-214-555-0183	3400 Main St	Dallas	TX	75226	phone	2024-06-01	4	6	360	2024-05-29	60	5	CMP202405J	shared	2024-05-29	retained	Shares campaign content.
DNR0012	first-time	46.8	USA	Grace	Chen	grace.chen@edunonprofit.org	+1-206-555-0152	400 Pine St	Seattle	WA	98101	email	2024-06-05	2	1	25	2024-06-03	25	1	CMP202406K	donated	2024-06-03	at-risk	First gift after newsletter.
DNR0013	recurring	87.5	USA	Mia	Rodriguez	mia.rodriguez@edufuture.org	+1-602-555-0144	700 E Camelback Rd	Phoenix	AZ	85014	sms	2024-05-29	3	15	1200	2024-05-29	80	11	CMP202405L	donated	2024-05-29	retained	Prefers SMS reminders.
DNR0014	major	80.1	USA	Thomas	Morales	thomas.morales@learn4all.org	+1-303-555-0166	1234 Broadway	Denver	CO	80203	event	2024-04-10	1	5	15000	2024-04-10	3000	3	CMP202404M	attended_event	2024-04-10	retained	Major donor, attends galas.
DNR0015	lapsed	12.3	USA	Liam	Turner	liam.turner@edchange.net	+1-404-555-0199	88 Peachtree St	Atlanta	GA	30303	direct_mail	2024-01-15	0	4	280	2023-12-05	70	0	CMP202312N	ignored	2023-12-05	lost	No activity in recent months.
DNR0016	prospect	33.8	USA	Isabella	Williams	isabella.williams@helpedu.org	+1-215-555-0168	910 Walnut St	Philadelphia	PA	19107	social_media	2024-05-24	2	0	0	blank	0	0	CMP202405O	clicked	2024-05-24	at-risk	Engaged through Facebook.
DNR0017	active	68.4	USA	Oliver	Brown	oliver.brown@edunonprofit.org	+1-512-555-0197	2200 Guadalupe St	Austin	TX	78705	phone	2024-05-28	2	7	700	2024-05-27	100	6	CMP202405P	shared	2024-05-27	retained	Active in phone campaigns.
DNR0018	recurring	84	USA	Ava	Garcia	ava.garcia@edufuture.org	+1-305-555-0187	1500 Biscayne Blvd	Miami	FL	33132	sms	2024-06-03	3	10	800	2024-06-01	80	8	CMP202406Q	donated	2024-06-01	retained	Prefers SMS reminders.
DNR0019	active	71.3	USA	Noah	Thompson	noah.thompson@learn4all.org	+1-703-555-0138	2101 Crystal Dr	Arlington	VA	22202	email	2024-05-25	3	7	420	2024-05-23	60	5	CMP202405R	donated	2024-05-23	retained	Long-term supporter.
DNR0020	first-time	39.7	India	Sanjay	Mehta	sanjay.mehta@eduimpact.org	+91-22-3345-1234	502 Linking Rd	Mumbai	MH	400052	email	2024-05-19	1	1	45	2024-05-19	45	1	CMP202405S	donated	2024-05-19	at-risk	First donation after email.

What the 85 rows show

from the 85-row sample

Lapsed (donor lifecycle stage) stands out: mean engagement_score is 17.5, against 69.5 for the rest.

73.1median engagement_score
3retention statuses
5campaign response types
6communication channels
2median communication_frequency_30d
6median total_donations_count

Mean engagement_score by donor_lifecycle_stage85 rows

engagement_score85 rows, in bands of 10

Median 73.1, from 8.4 to 94.2.

donor_country85 rows · top 10 of 22 values

USA38
United States13
UAE4
India3
Germany3
Portugal3
United Kingdom2
Canada2
Russia2
Ireland2

25 columns by typefrom the column list below

string 16
integer 3
float 3
date 3

Columns

25 columns in three groups

blueprint · 25 columns
column	type	description	example
Text 16 columns
`donor_id`	string	Unique identifier for each donorunique	DNR0001
`donor_first_name`	string	Donor's first name	Emily
`donor_last_name`	string	Donor's last name	Nguyen
`donor_email`	string	Donor's email addressunique	s.martinez@learn4all.org
`donor_phone`	string	Donor's phone numberoptional	+1-212-555-0192
`donor_street_address`	string	Donor's street addressoptional	1024 Park Ave
`donor_city`	string	Donor's cityoptional	New York
`donor_state`	string	Donor's state or provinceoptional	NY
`donor_postal_code`	string	Donor's postal codeoptional	10028
`donor_country`	string	Donor's countryoptional	USA
`donor_lifecycle_stage`	string	Current lifecycle stage of the donor (e.g., prospect, active, lapsed, recurring)6 values	active
`communication_channel`	string	Primary communication channel used for donor outreach6 values	email
`campaign_id`	string	Identifier of the most recent campaign the donor interacted withoptional	CMP202405A
`campaign_response_type`	string	Type of response to the most recent campaign (e.g., donated, shared, ignored)donated · shared · clicked · ignored · attended_event · optional	donated
`retention_status`	string	Current retention status of the donor (e.g., retained, at-risk, lost)retained · at-risk · lost · optional	retained
`notes`	string	Additional notes or comments about the donoroptional	Frequent SMS responder.
Numbers 6 columns
`communication_frequency_30d`	integer	Number of communications sent to the donor in the last 30 days0 or more · optional	5
`total_donations_count`	integer	Total number of donations made by the donor0 or more · optional	8
`total_donations_amount`	float	Total monetary amount donated by the donor0 or more · optional	800
`average_donation_amount`	float	Average amount donated per donation by the donor0 or more · optional	100
`donation_frequency_12m`	integer	Number of donations made by the donor in the last 12 months0 or more · optional	7
`engagement_score`	float	Calculated engagement score based on donor activity and interactions0 to 100 · optional	88.7
Dates and times 3 columns
`last_communication_date`	date	Date of last communication with the donoroptional	2024-05-07
`last_donation_date`	date	Date of the donor's most recent donationoptional	2024-05-01
`campaign_response_date`	date	Date of the donor's response to the most recent campaignoptional	2024-05-01

Use it for

An education dashboard
Engagement_score by donor_lifecycle_stage and a breakdown of donor_country. Excel, Power BI or Tableau.
Why do the 10 lapsed rows have a mean engagement_score of 17.5?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Donors85
DNR000188.7active
DNR000292.6recurring
DNR000377major
A software demo
Believable donors with donor_first_name, donor_last_name and donor_email to fill a screen in front of a buyer.

This dataset85 rows25 columns

Yours1,000 rows25 columnsdonor_street_address: UK only

blueprint · donor-engagement-metrics-nonprofits

Behind this dataset

Same schema. As many rows as you need.

These 85 rows came out of a blueprint — 25 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Each donor must have a unique identifier
Campaign response is logged per communication instance
Donation frequency is categorized (monthly, quarterly, annual)
Lifecycle stage is updated based on latest engagement

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: donor-engagement-metrics-nonprofits

What should your data show?

No signup. No card.

Sample rows

What the 85 rows show

Columns

Use it for

An education dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Education

What should your data show?