The week on the radar
Emails, news, videos, podcasts and AI research from the week of October 12 – October 18, 2026.
October 12 – October 18, 2026
From Monday to Sunday the radar picked up 518 items: 208 emails, 81 news articles, 192 videos and 37 podcast episodes. AI models did a first reading of 482 of them. This is what stood out.
Emails
208
from 91 organizations
News articles
81
from 22 sources
Videos
192
from 63 channels in 26 countries
Podcast episodes
37
from 18 shows
29 of 43
emails on October 16 asked for money. World Food Day and Global Cat Day fell on it. 14 subject lines this week were about food; the week before, 1.
Emails tied to World Food Day, per day
19
subject lines offered a match (“2X”, “double”, “triple”), against 11 the week before. 11 of them arrived on Friday.
Subject lines with a match, per day. Counted by code
3
subject lines said welcome, thanks for joining or confirm, against 37 the week before. We joined few new lists, and appeals filled the space.
Share of emails. 208 this week, 179 the week before
19
videos came from Teletón Chile, on tour before its telethon on November 6 and 7. 6 are among the ten most watched.
The week’s 192 videos, by channel
49%
of emails aim for hope, 48% for compassion. Elsewhere hope leads: 53% of news, 63% of videos.
Share of items that aim for each feeling
21 of 32
episodes we read raised leadership challenges, the problem named most. A lack of resources came next, in 16. Of 72 opinions, 37 were worried.
The 72 opinions, by tone
One AI model read every item this week; several did the week before. Compare AI labels across weeks with care. Subject-line counts are plain code.
What landed in the inbox
208 emails reached us from 91 nonprofits, nearly all in the United States. The welcomes are over (3 subject lines, against 37) and appeals took their place, most on Friday, October 16, World Food Day.
Emails received per day. Dark: fundraising appeals. Light: every other purpose. n = 208
Emails per day: tied to World Food Day, and using a matching gift
Tied to World Food Day
Device: a matching gift
What each email is for, one label per email. n = 208
The one thing each email most wants you to do. Dark: asks for money. n = 208
Six of the 29 fundraising emails that arrived on Friday, October 16. Central Time
01 · Emails, continued
Devices and feelings are softer labels than purpose and ask. Read the first two charts as a rough guide.
Emails using each persuasion device; up to three per email. n = 208
Feelings each email aims for; up to three per email. n = 208
Emails by day and hour of arrival, Central Time. n = 208
Emails per cause, for causes with 18 or more. n = 208
The date or season an email is tied to. n = 105 of 208
The voice of each email. n = 208
45%
use the reader’s first name in the text; 18 put it in the subject line, and 18 subject lines carry an emoji.
Main words, with the number of emails each one marks
Main words are the terms that make one email different from the others. Statistics, not AI.
What the trade press wrote
81 articles from 22 sector publications. Running a nonprofit led the topics: management, then philanthropy and fundraising, with AI, grants and the elections close behind. Most stories read as neutral: 20 as positive, 6 as negative.
Articles published per day. n = 81
Topics of the articles; up to three per article. n = 81
Tone of each article, overall and for the eight most covered topics. n = 81
Feelings each story leans on; up to four per article. n = 81
Topics, tone and feelings are an AI model’s reading. The news labels have not had our hand-labelled test yet: read them as a rough map, not as findings.
02 · News, continued
Six stories chosen by us for range, then what the news could start. Each headline opens the article.
In the order of the list, not of importance
The NonProfit Times · Monday
The Chronicle of Philanthropy · Wednesday
The Agitator · Wednesday
Nonprofit Quarterly · Thursday
Charity Digital · Thursday
Nonprofit Quarterly · Friday
Articles per source: the seven most active of 22. n = 81
For each article the AI drafts three ideas a nonprofit could use, each with a channel. n = 243
Drafted by the AI model from one article each. We picked the six; the wording is the model’s
Test a low suggested gift amount and report how many small donors give.
Small gifts can add up to strong revenue. From an article in The Chronicle of Philanthropy.
Send hand-raising emails asking donors if they want details before holidays.
Lets interested donors opt in without pressure. From an article in Nonprofit Quarterly.
Train phone staff on DAF and QCD questions before launching a DAF campaign.
Slow or wrong answers can erase donor trust quickly. From an article by Media Cause.
Test a reply-driven SMS ask against a standard click ask.
Article reports 5.2% reply rate versus 1.5% click rate. From an article by Media Cause.
Add a 12-month retention goal to acquisition campaign dashboards.
Only 24% of new online donors retained, per cited data. From an article in The Agitator.
Check your California registration and good-standing status before donation campaigns.
Good-standing lapses can block online donations entirely. From an article in The NonProfit Times.
What they posted on YouTube
192 videos from 63 channels in 26 countries, in 11 languages. 75% run under three minutes and 44% are Shorts. UNICEF México’s cooking workshop for children was watched most.
Videos posted per day. n = 192
Videos by the organization’s country. n = 192
Videos by language. n = 192
Videos by length, as YouTube reports it. n = 189; 3 scheduled videos have no length yet
44%
are Shorts: 84 of 192 videos.
1:09
is the median length, in minutes and seconds.
270
views for the median video. Half had fewer.
With their views on October 19. All 192 videos together: 1,215,610. The one-line descriptions are ours.
Children on a mobile nutrition unit make a vegetable pizza.
UNICEF México
Mexico · Video, 0:49
Where does one young person in four go hungry? France.
Action contre la Faim
France · Short, 0:56
April, 9, on the cooking workshop that came to her school.
UNICEF México
Mexico · Video, 1:59
A stop on the telethon’s tour of Chile, ahead of November 6 and 7.
Teletón Chile
Chile · Video, 4:58:45
Singer Rocío Márquez against reopening the Aznalcóllar mine.
Greenpeace España
Spain · Video, 0:41
03 · Videos, continued
161 of the 192 videos had a transcript. AI asked each one five questions: who speaks, about what, why, how, and the ask.
Topics of the videos; up to three per video. n = 161
Why the video was made; a video can have several aims. n = 161
How it is told. n = 161
Who speaks. n = 161
What the video asks you to do. n = 161
Feelings each video appeals to, and how strongly. n = 161
Videos by aim (rows) and ask (columns). n = 161
The video labels have not had our hand-labelled test yet: read them as a rough map, not as findings. A video without a transcript is not labelled.
What the sector said out loud
37 new episodes from 18 shows about the sector. We read the transcripts of 32, about 17 hours of talk, and pulled out 270 statements: what hosts and guests think, recommend, learned and expect.
Problems the episodes discuss; an episode can raise several. n = 32 episodes with a transcript
Statements by kind. n = 270
Opinions by tone. n = 72
Topics of the episodes; up to four per episode. n = 32
New episodes and clips per show: the seven most active of 18. n = 37
04 · Podcasts, continued
Eight statements from the week, in our words. Code matched each one to its place in the transcript; the show’s name opens the episode.
Taking the gift first and asking for the donor’s details after it raised conversion by 55%, he says, on Bloomerang’s forms.
Evan DaSilva, Bloomerang · on The Nonprofit Show
Put the big showstopper in the middle of the live auction, not at the end: everything after it will feel like a deal.
Chris Hensley · on Hey Nonprofits!
Around 120 trillion dollars will pass from one generation to the next in 20 to 30 years, most of it not in cash.
Christy Coulter, Apex Legacy Consulting · on The Fundraising School Podcast
If you need $120,000 by year-end, would you rather have it by December 31, or $10,000 a month for the next twelve months?
Christina Edwards, Splendid Consulting · on Purpose & Profit Club
A donor who gave $100 a year wrote a check for $5 million, after the team built a personal relationship with her.
Bill Crouch, BrightDot Fundraising Advisors · on Nonprofit Pulse
A freebie group shared its free mental health box: 3,500 requests in 24 hours, one $3.50 donation, $16,000 to send them all.
Ali Borowsky, Find Your Anchor · on We Are For Good Podcast
Three years as the only CEO pushed her to grow, and were some of her loneliest, most stressful days.
Tammy Tibbetts, She’s the First · on Missions to Movements
Rare first built its assistant for farmers as an app to download. No one was going to use it: it had to sit where they already are.
Naomi Morenzoni, Salesforce · on What the Fundraising
Statements by topic (rows) and kind (columns). n = 270
What the readings add up to
AI models did the first reading of 482 of the week’s 518 items. Side by side, the readings show what no single inbox can: one feeling shared by every channel, two separate conversations, and two different asks.
What the readings show when they are put side by side
1
Hope is the feeling used most in emails (49%), news (53%) and videos (63%). In the inbox compassion is right behind, at 48%. Fear and anger never pass 22%.
2
News and podcasts talk about running a nonprofit: management is a topic in 67% of articles and 69% of episodes, and in 1% of videos. The videos talk about children and health.
3
Email leads with the gift: money is the main ask in 44% of emails, and 19 subject lines offered a match. On video, 57% say “learn more” and 29% ask for a donation.
Items with their AI reading done, of the week’s items
31 had no transcript, so no labels
5 had no transcript
Code looks up every quote in the transcript; the rest are trusted less
Share of items on each topic, %. One topic list for all three sources
05 · AI research, continued
The same questions, asked of different channels. Feelings first, then what each channel asks you to do.
Share of items that aim for each feeling, on one 0–100% scale
A dot: that source’s list of feelings has no such entry. Email labels say “compassion”; news and video labels say “empathy”.
The main ask, one per email, % of emails. n = 208
Asks per video, % of videos; a video can make several. n = 161
Dark bars: asks for money. Two different samples: the emails come from 91 nonprofits we subscribed to, nearly all in the United States; the videos from 63 channels in 26 countries.
The same rules for every source
Every item of a kind gets the same questions, and each answer comes from a closed list. Labels cannot be invented, so they can be counted.
A video or episode without a transcript is not labelled. Nothing is guessed from a title.
Email labels are tested against 200 emails labelled by hand. News and video labels have not had that test yet: read them as a rough map.
About this report
So you can decide how much to trust them
Everything Giving Radar collected from Monday, October 12 to Sunday, October 18, 2026, counted by the day it arrived or was published, U.S. Central Time. Views are YouTube’s own counts, read on October 19.
We subscribe to nonprofits’ public mailing lists with a separate address for each one, since September 18, 2026. We read as a recent subscriber who has never given, so much of what arrives is a welcome series. Nearly all of this week’s emails came from organizations in the United States.
37 news feeds, 158 YouTube channels of organizations on our list, and 27 podcasts about the sector. All of it is public.
Anything with a right answer (dates, links, words, views) is counted by plain code. AI models answer fixed questions from fixed lists of answers. A video or episode without a transcript is not labelled.
Email labels are tested against 200 emails we labelled by hand; persuasion devices and feelings are softer and serve as a rough guide. This week one model read every item, where several shared the work before, so a change in labels from week to week can come partly from that. News and video labels have not had that test yet: read them as a rough map, not as findings. Podcast statements are matched to the transcript by code; the eight shown here were found there.
No figure about one organization’s emails is published below 15 emails, so this report has none. A blank means not researched, never “no”. The full method is at givingradar.com/method.
Dates fundraisers plan around, from our Giving Calendar
The whole year is at givingradar.com/calendar.
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Giving Radar Daily is a short, free morning email for fundraisers: what nonprofits sent, said and posted the day before.