After publishing the first two parts of my Safelist Attention Project, there’s an obvious question:
So which safelist was actually the best?
The more I look at the numbers, the less I think that question has one answer.
That may sound like I’m trying to avoid choosing a winner.
I’m not.
The problem is that changing the measurement changes which safelists stand out.
One platform may send the most traffic. Another may produce the highest percentage of interaction. Another may reach more different responsive people. And another may generate a surprisingly strong response from only a few mailings.
Those are all useful results.
They just represent different kinds of strength.
A Quick Refresher
For this experiment, I sent the same unusual campaign through 45 different safelists.
The page wasn’t selling anything and didn’t ask visitors to join a list.
It simply explained that they were part of an attention experiment and invited them to click one button to confirm they had noticed the page.
The campaign produced:
- 389 confirmed safelist sends
- 8,433 raw recorded visits
- 8,392 final named-source, human-likely analyzed visits
- 143 attention clicks
- 94 distinct tracked clickers
That worked out to an overall analyzed attention rate of 1.70%.
You can read the complete methodology and original results in I Tested 45 Safelists: Which Ones Sent Visitors Who Actually Paid Attention?
In More Traffic or More Attention? My Safelist Experiment Found They’re Not the Same, I looked at why traffic volume, attention rate, total interaction, and unique participation can tell different stories.
Now it’s time to look at the full safelist experiment results and see which platforms stood out under each measurement.
Instead of creating one universal ranking, I ranked the safelists four different ways.
1. Which Safelists Had the Highest Attention Rate?
The attention rate measures how often an analyzed visit resulted in a click on the experiment button.
For this ranking, I required at least 100 analyzed visits.
Without a minimum sample, a safelist could jump to the top based on one click from only a handful of visitors. Requiring 100 visits doesn’t make the results conclusive, but it gives us something more substantial to compare.
| Rank | Safelist | Visits | Clicks | Unique Clickers | Attention Rate |
|---|---|---|---|---|---|
| 1 | SendCircle | 174 | 32 | 20 | 18.39% |
| 2 | Zodiac Mailer | 127 | 8 | 2 | 6.30% |
| 3 | My Daily Mailer | 1,005 | 30 | 19 | 2.99% |
| 4 | Click Leverage | 342 | 10 | 8 | 2.92% |
| 5 | List Avail | 104 | 3 | 3 | 2.88% |
SendCircle was the clear attention-rate leader in this particular experiment.
Its 174 visits generated 32 clicks from 20 different tracked visitors. That is an unusually strong level of interaction for the amount of traffic it delivered.
Zodiac Mailer produced a different kind of interesting result.
Its 6.30% rate placed it second among qualifying safelists, but its eight clicks came from only two tracked visitors.
I don’t see that as a reason to dismiss the result.
It tells us that a small number of visitors became unusually engaged and interacted more than once.
That isn’t broad participation, but repeat engagement can still be valuable—especially for advertising intended to build recognition through repeated exposure.
My Daily Mailer, Click Leverage, and List Avail rounded out the top five with similar attention rates, although their traffic volume and participation patterns were quite different.
This is why attention rate is useful, but incomplete.
It tells me how frequently visits produced the measured action.
It doesn’t tell me how much traffic was delivered or how many different people responded.
2. Which Safelists Delivered the Most Reach?
If my only goal were reach, the leaderboard would look completely different.
These were the five sources that produced the most analyzed visits:
| Rank | Safelist | Analyzed Visits | Confirmed Sends | Visits per Send |
|---|---|---|---|---|
| 1 | European Safelist | 1,206 | 12 | 100.50 |
| 2 | My Daily Mailer | 1,005 | 12 | 83.75 |
| 3 | List Joe | 671 | 13 | 51.62 |
| 4 | Mister Safelist | 668 | 12 | 55.67 |
| 5 | I Love Traffic | 578 | 12 | 48.17 |
European Safelist was the reach leader, producing 1,206 analyzed visits from 12 confirmed sends.
That gave the experiment page more than 1,200 opportunities to be seen.
My Daily Mailer also crossed the 1,000-visit mark, while List Joe and Mister Safelist finished almost even at 671 and 668 visits.
I Love Traffic completed the top five with 578 visits.
It would be easy to look at an attention-rate table and overlook what these platforms accomplished.
They delivered people.
Traffic volume does not guarantee attention or conversions, but nothing can happen until somebody reaches the page.
Reach is a genuine strength, especially when the advertiser’s goal includes visibility, brand exposure, or gathering enough traffic to test a page properly.
It simply answers a different question:
How many opportunities did the safelist create for my page to be seen?
3. Which Safelists Produced the Broadest Unique Attention?
Total clicks are useful, but they don’t always reveal how many different visitors participated.
One person clicking several times creates a different pattern from several people each clicking once.
So for this ranking, I counted distinct tracked clickers.
| Rank | Safelist | Unique Clickers | Total Clicks | Visits |
|---|---|---|---|---|
| 1 | SendCircle | 20 | 32 | 174 |
| 2 | My Daily Mailer | 19 | 30 | 1,005 |
| 3 | Mister Safelist | 14 | 14 | 668 |
| 4 | Click Leverage | 8 | 10 | 342 |
| 5 | List Joe | 4 | 6 | 671 |
SendCircle finished first again, but the result was much closer than the attention-rate ranking might suggest.
It generated responses from 20 distinct tracked visitors.
My Daily Mailer was only one behind with 19, despite reaching its total through a very different combination of traffic and attention rate.
Mister Safelist may have produced the cleanest example of broad participation.
It recorded 14 attention clicks from 14 different tracked visitors.
Every measured interaction came from somebody different. There were no repeat clickers adding multiple clicks to its total.
Click Leverage also showed strong breadth, with eight distinct tracked visitors producing ten clicks.
List Joe and Fast List Mailer each reached four distinct clickers. List Joe appears fifth under the ranking rules because it generated six total clicks compared with Fast List Mailer’s five.
This category may be especially useful when I want to know whether a response was spread across the audience rather than concentrated among a few highly active visitors.
Neither pattern is automatically better.
They simply tell me something different about what happened behind the click total.
4. Which Safelists Produced the Most Attention per Confirmed Send?
This may be the most practical new measurement for somebody who mails safelists regularly.
Sending an advertisement takes time, even when it has become part of your normal routine.
So I wanted to know:
What did I get back from each confirmed send under the accounts I was actually using?
| Rank | Safelist | Confirmed Sends | Clicks | Clicks per Send | Unique Clickers per Send |
|---|---|---|---|---|---|
| 1 | SendCircle | 4 | 32 | 8.00 | 5.00 |
| 2 | My Daily Mailer | 12 | 30 | 2.50 | 1.58 |
| 3 | Mister Safelist | 12 | 14 | 1.17 | 1.17 |
| 4 | Click Leverage | 12 | 10 | 0.83 | 0.67 |
| 5 | Fast List Mailer | 6 | 5 | 0.83 | 0.67 |
SendCircle generated eight attention clicks for every confirmed campaign send.
That is an impressive result, but it also came from only four sends. A smaller number of sends makes the figure more sensitive to this particular campaign and period.
My Daily Mailer generated 2.5 clicks and approximately 1.58 distinct tracked clickers per send across 12 confirmed mailings.
Mister Safelist produced approximately 1.17 clicks per send, with every one of those clicks representing a different tracked visitor.
Click Leverage and Fast List Mailer both generated approximately 0.83 clicks and 0.67 unique clickers per send.
European Safelist and I Love Traffic also averaged approximately 0.83 clicks per send, but their clicks were more concentrated among repeat participants. That pushed Click Leverage and Fast List Mailer higher when distinct participation was considered.
This is not a controlled cost-efficiency comparison.
My membership levels, mailing privileges, audience reach, and mailing intervals were not identical at every safelist.
The measurement only shows what I received from each confirmed send using my existing accounts and normal routine.
Even with that limitation, I find it useful.
If my available mailing time is limited, response per send gives me another way to decide where that time may be producing noticeable engagement.
Several Safelists Looked Strong From More Than One Angle
The category tables also revealed several platforms that kept appearing for different reasons.
My Daily Mailer combined major reach with the second-highest total number of attention clicks and the second-most distinct tracked clickers.
Click Leverage didn’t lead any single category, but it repeatedly appeared near the top. It produced meaningful traffic, an above-average attention rate, good unique participation, and a solid response per mailing.
Mister Safelist stood out for reach and broad participation. Its 14 clicks coming from 14 different tracked visitors was one of the cleanest unique-attention patterns in the experiment.
Fast List Mailer produced a solid qualifying attention rate and good unique response from only six confirmed sends.
List Avail had the smallest sample among the top five attention-rate leaders, but each of its three clicks came from a different tracked visitor.
Zodiac Mailer showed that concentrated repeat engagement is another way a platform can produce an interesting result.
Full disclosure: I own My Daily Mailer and Mister Safelist, so familiarity with me, my writing, or my advertising may have influenced their results.
That doesn’t make the numbers meaningless, but it is part of the context.
Why I Like This Better Than One Master Ranking
I’ve published plenty of safelist rankings over the years.
Usually I’m measuring traffic, conversions, or some combination of the two.
This experiment reminded me that a ranking is only useful when I understand what the ranking is supposed to measure.
Suppose I’m promoting something that benefits from as much exposure as possible.
Reach may be the most important number.
Suppose I’m testing an interactive splash page and want to know how often visitors respond to something on it.
Attention rate becomes more interesting.
Suppose I want to know whether the response was spread across the audience.
Distinct tracked clickers may matter more.
Suppose I have limited time for daily submissions.
Response per confirmed send may help me decide where that effort seems most productive.
And if I’m building recognition for an evergreen brand or message, repeat exposure may not be a bad thing at all.
This experiment did not prove which metric would lead to the most opt-ins or sales in each of those situations.
It measured one specific deliberate interaction with one specific page.
But it did show why I shouldn’t automatically use the same definition of “best” for every advertising goal.
A Ranking Is Only as Good as the Question
There was no single safelist that owned every kind of performance.
European Safelist delivered the most reach.
SendCircle produced the highest qualifying attention rate, the most total attention clicks, and the most distinct tracked clickers.
My Daily Mailer combined substantial reach with strong total and unique attention.
Mister Safelist produced unusually broad participation without repeat clickers.
Click Leverage was consistently strong across several measurements.
Other platforms stood out through smaller samples, repeat engagement, or good response from fewer confirmed sends.
That makes the answer to “Which safelist was best?” a little frustrating.
It also makes it more useful.
Before I ask which safelist ranks first, I probably need to decide what I’m ranking it for.
The better question is: Best at what?
What Comes Next
The traffic-source data told me where the visitors came from.
But after somebody clicked the experiment button, I asked another question:
What made you notice the page in the first place?
I collected 105 answers.
Those answers may prove even more useful than the rankings because they begin to explain what was happening inside the visitor’s head when the page caught their attention.
That’s what I’m going to look at next.
