Civis Analytics Campaign review · Jun to Aug 2026
Civis Analytics

Salesforce nonprofits campaign, June to August 2026

Thirty-two sends to 3,333 nonprofits running Salesforce, over eight weeks. What the final numbers show, what they cannot show, and what the next campaign should be.

CampaignJun 24 to Aug 19, 2026
Sends32 of 32, all confirmed
Data as ofAugust 20, 2026
Reading timeAbout eight minutes, scanning
1. What we ran

One audience, split eight ways, four messages each

Nonprofits already running Salesforce, dealt round-robin by organization into eight groups so no organization sat entirely on one side of the test. Odd groups got a plain email from a named person. Even groups got the branded Civis version. Same subject line, same message, same day.

3,333
people on the eight lists at the end3
8
groups, dealt round-robin by organization
4
messages to every group
32
group sends, all confirmed
13,844
emails, June 24 to August 19
The messages

Three reasons to look past the CRM, then storage cost, then analytics and AI, then putting AI in the hands of the whole team. Bodies ran 213 to 300 words.

The test

Plain against branded. Subject, copy, send time and audience construction were held constant. Subject lines were never tested.

The ask

Read the overview, request a demo, or reply. The demo request was the conversion event we instrumented.

2. Where the funnel breaks

The break is at the click, and then again at the page

Counted as people, because people are what a campaign is meant to produce. Every figure is as of August 20.1

PEOPLE OF PREVIOUS STEP In the campaign 4,002 Opened an email 1,438 35.9% Clicked a link 273 19.0% Clicked, and not a scanner 217 79.5% Reached the landing page 116 53.5% Read the landing page 9 7.8% Requested a demo 0 0%

Scroll the chart sideways to read it.

Reading the page means a scroll signal, which is the one action email security software does not fake. The scanner row removes 56 accounts that clicked everything and read nothing; those 56 hold 57% of every click in the campaign. The last bar is drawn at a minimum width so it stays visible, and the demo row has no bar because the value is zero.
Demos booked

Zero. No verified recipient clicked the case study, a reason card, or the demo button on the landing page either.

Delivery

97.6% delivered and zero spam complaints across 13,512 messages. Reaching the inbox was never the problem.

Scanner traffic

Strip it out and 217 people out of 4,002 clicked anything on purpose. The headline click number is roughly double the human one.

3. What the design test showed

Plain won the open by a small margin, and nothing after it

With the one group whose numbers are a security-scanner artifact4 excluded, the plain lane leads by 1.6 points of open rate and by a tenth of a point on clicks. Across nine clean same-day pairs, plain won the open seven times and the click four times.

Plain, from a named person Branded, from Civis
OPEN RATE 20.6% Plain 19.0% Branded
CLICK RATE 2.53% Plain 2.41% Branded

Who is reading matters more than which design

Persona5 Plain, openBranded, open Plain, clickBranded, click
Leadership34.8%37.8%4.3%5.2%
Technical32.5%27.8%5.3%5.3%
Fundraising and marketing32.2%32.9%3.8%3.8%
A confound in the test

The two lanes changed the sender name as well as the design, a named person against the company. Open rate is decided by the sender and the subject, before any design is visible, so the 1.6 points may be about who the mail came from. This campaign cannot separate the two.

The final message

On the fourth email, branded won both metrics, 19.8% against 19.2% on opens and 3.05% against 2.27% on clicks. That message went out on August 19 and its numbers are still filling in.

4. What the later emails added

The first message set the ceiling

By touch order. After the first email the line is flat, inside two points, for three more messages and six more weeks. Clicks per open recovered on the last one.

OPEN RATE BY TOUCH 22.8% 1st 18.5% 2nd 18.2% 3rd 19.2% 4th
CLICKS PER OPEN, BY TOUCH 13.1% 1st 11.7% 2nd 10.5% 3rd 14.3% 4th

Orange marks the highest bar in each chart.

The send-date effect

The same first message, same design, unchanged, returned 29.3% open in late June and 16.8% in mid-July. The day we sent moved the number more than the message did or the design did, so some of the fall above is the calendar.

What holds

Three extra emails bought no lift in opens, and the last message earned the most clicks per open of any in the campaign. It was also the newest argument, which points to fewer, newer and shorter messages.

5. Three things that did not work

The ask, the length of the drip, and the reply we could not count

None of the three is the copy.

The ask

Book a demo, to a cold audience that could not name the company, 13,844 times, zero conversions. Two thirds of B2B buyers now say they would rather buy without talking to anyone at all.7

The drip

Four messages of 213 to 300 words across up to six weeks. Three of them bought no incremental engagement, and the last one, on the shortest runway, performed best per open.

Replies

One lane asked people to reply and we cannot count the replies. The one substantive reply we know about surfaced by accident, weeks later, while looking for something else.

There is a fourth, and it sits in the build process. The first two waves hard-bounced at 6.7% and 7.1%, because 467 people who could not receive mail were on the lists. After the cleanup, no wave exceeded 0.8%. Inbox providers now reject high-volume mail outright when hygiene slips, so this has to be a build-time check and not a week-six sweep.
6. What the data cannot tell us

Four gaps, all of them fixable only before a campaign starts

Replies, both lanes

No reply count exists for either arm. One arm's replies land in an inbox nobody labels, the other in an inbox our reporting cannot read. If people were interested, this is where the evidence went.

Half the page traffic

The first two sends went out before per-person tracking existed. More than half the visits to the landing page across the whole campaign cannot be attributed to anybody, and that cannot be fixed after the fact.

Opens are not readers

Apple accounts for 62% of all email opens and its privacy feature affects 55 to 60% of them, so a large share of any open rate is a machine fetching a pixel.6 Ours also carries security scanners: 56 accounts hold 57% of the clicks.

Arrival is not intent

The landing page opened its own form on arrival, which manufactured 30 form opens that nobody chose. None of them became a request.

7. What outside research says

Four findings from named studies, all pointing the same way

Published cold-email benchmarks are vendor marketing with no disclosed methodology, so nothing from that category is on this page. These four have a named sample.

Buyer behavior

67% of B2B buyers prefer a buying experience with no sales rep in it, up from 61% a year earlier.7 A demo request is a late-funnel action and we asked for it first.

Email length

Across 40 million messages, replies peak between 50 and 125 words and decline from there. Ours ran 213 to 300.8

Open-rate reliability

Apple is 62% of opens and its privacy feature affects 55 to 60% of them.6 Any test decided on open rate alone is decided partly by machines.

Nonprofit capacity

Across nearly 1,300 nonprofits, technology staffing is the strongest predictor of digital readiness, and the average organization has about one data person.9 That is the argument our last message made, and the one it should have opened with.

8. The recommendation

Three touches, three sentences, one small ask

Working title Short List. Run a short-form campaign to the people this one already warmed up, then to fresh cold audience in the same format.

01

Short form, lightly branded, from a named person

Slim banner, one accent, body under three sentences, one link. Keep the named human sender, which is the variable most likely to have earned the open. Drop the unbranded wrapper, which earned nothing after it.

02

Warm first, cold second

Open with the 127 people worth a call and the 772 who engaged with two or more messages, then extend to fresh cold audience in the same format. Every standing exclusion and every mailability flag is checked when the list is built.

03

Subject lines become the test

Design is settled and subjects were never tried. Short form makes subject testing cheap, because only the envelope changes between the arms. Read the result on clicks and replies, not on opens.

127
people worth a call now
772
engaged with two or more messages
3
touches over three weeks
under 90
words per email
Two alternates, for the record. Run no campaign and hand the 127 to sales as a call list, which is the honest option if we have nothing new to say. Or keep this audience and cadence and rebuild only the landing page, which tests the destination in isolation but spends another cycle on an ask that has already failed.
9. The next campaign, walked through

The next campaign, in detail

Who it targets, the emails rendered as they would arrive, the three-week cadence, and the funnel we would instrument. Two minutes of scrolling.

Open the campaign walkthrough

The walkthrough is a mock. Nothing in it is staged to send, and it carries no projected numbers.

Notes and sources

Where every number came from

  1. All campaign figures are as of August 20, 2026, 22:45 ET, read from the email platform and the landing-page analytics after the final send on August 19, 2026. Opens and clicks keep accruing for roughly a week after a send, so the fourth message is still filling in for half the audience and its numbers are a floor.
  2. Open, click and opt-out rates use delivered messages as the denominator.
  3. The campaign began with 4,002 contacts. 667 list memberships were removed across six documented cleanups between July 20 and August 19, for hard bounces, opt-outs, departures, and organizations we should not have been marketing to. The person-level funnel is measured against the 4,002 who were mailed at some point.
  4. One group's first send returned a 49.8% open rate and a 23.4% click rate, which is an email security gateway opening every message and following every link before delivery. That group is excluded from every design comparison on this page.
  5. Person-level rates: the share of people in each lane who ever opened, or ever clicked, any message in the campaign. The scanner-affected group is excluded.
  6. Litmus, Email Client Market Share, July 2026, calculated from over one billion opens. litmus.com/email-client-market-share
  7. Gartner sales survey, March 2026, nearly 650 B2B buyers, reported with methodology by Demand Gen Report. demandgenreport.com
  8. Boomerang, February 2016, over 40 million emails. The response levels in that dataset come from ordinary correspondence between people who already know each other, not from cold outreach, so the shape of the curve transfers and the levels do not. blog.boomerangapp.com
  9. NTEN, Tech Accelerate analysis, January 5, 2026, nearly 1,300 organizations assessed over eight years. Data-staff averages from NTEN's annual report. nten.org/blog/tech-accelerate-analysis