The week on the radar
Emails, news, videos, podcasts and AI research from the week of October 5 – October 11, 2026.
October 5 – October 11, 2026
From Monday to Sunday the radar picked up 556 items: 179 emails, 76 news articles, 262 videos and 39 podcast episodes. AI models did a first reading of 493 of them. This is what stood out.
Emails
179
from 89 organizations
News articles
76
from 23 sources
Videos
262
from 75 channels in 29 countries
Podcast episodes
39
from 15 shows
13 of 26
fundraising emails on October 8 asked for a gift from a donor-advised fund, often with a tax reminder or a match. The week before, 1 of 137 emails did.
Emails whose main ask is a gift from a DAF, per day
15%
of emails set a deadline, down from 40% the week before, when the month ended. Matching gifts slipped less, to 12% from 18%.
Share of emails. 179 this week, 137 the week before
39
videos came from Teletón México, more than from any other channel. Its live broadcast ran on Saturday and Sunday: three blocks of it are among the six most watched videos.
The week’s 262 videos, by channel
68%
of emails aim for hope, more than for any other feeling. So do 59% of news stories and 90% of videos. The week before, compassion led the inbox.
Share of items that aim for hope
71%
of articles were about philanthropy and giving, the first topic of the week: big gifts, the wealth transfer, planned giving. 41 stories read as positive and 9 as negative.
The 76 articles, by tone
17 of 32
episodes we read raised a lack of resources, the problem named most for the second week running. Of 61 opinions voiced, 26 were worried and 21 positive.
The 61 opinions, by tone
What landed in the inbox
179 emails reached us from 89 nonprofits, nearly all in the United States. We joined more mailing lists this week, so 88 of them came from a welcome series. The appeals gathered on one day: Thursday, October 8, DAF Day.
Emails received per day. Dark: fundraising appeals. Light: every other purpose. n = 179
Emails per day, by main ask and by device
Main ask: a gift from a DAF
Device: a matching gift
What each email is for, one label per email. n = 179
The one thing each email most wants you to do. Dark: asks for money. n = 179
Six of the 26 fundraising emails that arrived on Thursday, October 8. 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 = 179
Feelings each email aims for; up to three per email. n = 179
Hour of arrival, Central Time. Evening clusters are welcomes to our sign-ups. n = 179
Emails per cause, for causes with 15 or more. n = 179
The date or season an email is tied to. n = 65 of 179
The voice of each email. n = 179
47%
use the reader’s first name in the text; 15 put it in the subject line, and 14 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
76 articles from 23 sector publications. Philanthropy and giving led the topics, ahead of management: big gifts, the wealth transfer and planned giving filled the week. The mood stayed hopeful: 41 stories read as positive, 9 as negative.
Articles published per day. n = 76
Topics of the articles; up to three per article. n = 76
Tone of each article, overall and for the eight most covered topics. n = 76
Feelings each story leans on; up to four per article. n = 76
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 Chronicle of Philanthropy · Monday
The NonProfit Times · Monday
Philanthropy Daily · Monday
Nonprofit Quarterly · Tuesday
Nonprofit Tech for Good · Thursday
The Chronicle of Philanthropy · Friday
Articles per source: the seven most active of 23. n = 76
For each article the AI drafts three ideas a nonprofit could use, each with a channel. n = 228
Drafted by the AI model from one article each. We picked the six; the wording is the model’s
Audit email appeals to eliminate repetitive asks and guilt-tripping language.
Autonomy-supportive copy fosters stronger internal donor motivation and retention. From an article in The Agitator.
Schedule personal transition phone calls between incoming leaders and top funders.
Direct outreach preserves relationships before major donors drift away. From an article in The Chronicle of Philanthropy.
Post a live thermometer showing progress toward the matched total.
Visible progress encourages others to join the match. From an article in Charity Digital.
Audit and optimize mobile donation forms before launching year-end appeals.
Removes friction for distracted donors arriving from digital channels. From an article on Clairification.
Send an email outlining nonpartisan election actions 501(c)(3) supporters can take.
Encourages civic participation while maintaining strict nonpartisan compliance. From an article by M+R.
Send handwritten holiday thank-you notes without asking for money.
Fosters genuine connection by expressing authentic donor gratitude. From an article in Philanthropy Daily.
What they posted on YouTube
262 videos from 75 channels in 29 countries, in 15 languages. 65% run under three minutes and 44% are Shorts. At the other end, Mexico’s Teletón streamed its live broadcast in blocks that run for hours.
Videos posted per day. n = 262
Videos by the organization’s country. n = 262
Videos by language. n = 262
Videos by length, as YouTube reports it. n = 259; 3 scheduled videos have no length yet
44%
are Shorts: 114 of 262 videos.
1:34
is the median length, in minutes and seconds.
284
views for the median video. Half had fewer.
With their views on October 12. All 262 videos together: 1,710,044. The one-line descriptions are ours.
A love letter to hope: sea otters and the Living Planet Report.
WWF France
France · Video, 12:13
Seventeen seconds for a right to food in France. The ask: sign.
Action contre la Faim
France · Short, 0:17
Reporters go through ministry papers on German energy policy.
Greenpeace Germany
Germany · Video, 13:18
Live telethon for children with disabilities, autism and cancer.
Teletón México
Mexico · Video, 4:31:04
The opening block: an auction, and Héctor, who learned to walk.
Teletón México
Mexico · Video, 8:06:30
03 · Videos, continued
206 of the 262 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 = 206
Why the video was made; a video can have several aims. n = 206
How it is told. n = 206
Who speaks. n = 206
What the video asks you to do. n = 206
Feelings each video appeals to, and how strongly. n = 206
Videos by aim (rows) and ask (columns). n = 206
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
39 new episodes from 15 shows about the sector. We read the transcripts of 32, about 16 hours of talk, and pulled out 141 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 = 141
Opinions by tone. n = 61
Topics of the episodes; up to four per episode. n = 32
New episodes and clips per show: the seven most active of 15. n = 39
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.
Mental health care for staff should be the default an organization provides, not something each person has to go and ask for.
Weanne Estrada, Adventist Development and Relief Agency · on Inspired Nonprofit Leadership
Before meeting a donor, don’t memorize their file. Decide the five questions you want to ask, and how you will ask them.
Kyle Buchmann, Wisconsin Foundation and Alumni Association · on What the Fundraising
Fund the groups on the ground, connected to the communities most exposed to attacks and threats.
Maya Wiley, The Leadership Conference on Civil and Human Rights · on Giving Done Right
A client sent 33 emails in one campaign and raised 80% more than the year before, with unsubscribes under 1%.
Christina Edwards, Splendid ATL · on Purpose & Profit Club
Many nonprofits ask every donor for 10, 25 or 50 dollars, whatever that donor’s capacity to give.
Thomas Turner, charity: water · on The Nonprofit Show
“Now or never” appeals often backfire: they take away the donor’s agency and choice.
Maria Bryan, Donorbox · on The Nonprofit Exchange
Farmlink moves about 150 million pounds of food a year and is pushing to reach a billion within the next couple of years.
Aidan Reilly, The Farmlink Project · on The Nonprofit Leadership Podcast
How much of your fundraising depends on Facebook letting supporters reach your website?
Julia Campbell · on Nonprofit Nation with Julia Campbell
Statements by topic (rows) and kind (columns). n = 141
What the readings add up to
AI models did the first reading of 493 of the week’s 556 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 (68%), news (59%) and videos (90%). Fear and anger never pass 16% on any of them.
2
News and podcasts talk about giving and about running a nonprofit: philanthropy is a topic in 71% of articles and 81% of episodes, and in 10% of videos. The videos talk about children and health.
3
Email leads with the gift: money is the main ask in 39% of emails, and on DAF Day 13 asked for it from a donor-advised fund. On video, 74% say “learn more” and 24% ask for a donation.
Items with their AI reading done, of the week’s items
56 had no transcript, so no labels
7 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 = 179
Asks per video, % of videos; a video can make several. n = 206
Dark bars: asks for money. Two different samples: the emails come from 89 nonprofits we subscribed to, nearly all in the United States; the videos from 75 channels in 29 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 5 to Sunday, October 11, 2026, counted by the day it arrived or was published, U.S. Central Time. Views are YouTube’s own counts, read on October 12.
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. 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.