A Very Simple Safelist Experiment

Safelist marketing experiment concept showing marketer analyzing click data and engagement results

Recently I ran a small safelist experiment that turned out to be pretty interesting.

It actually started because I missed something.

For a long time I used to publish monthly safelist statistics showing where my list signups were coming from. Those posts were always fun to write because they showed real results from actual safelist traffic.

Over time though, those reports became harder to produce.

It wasn’t that safelists stopped working.

It was more that the way I was using them changed.

These days I mostly use safelists to promote things like My Daily Mailer. When you’re promoting programs instead of building a list directly, it becomes much harder to collect clean data for reports like that.

So I started thinking about a different way to measure activity.

The Idea

Instead of tracking opt-ins, I wondered what would happen if I measured something much simpler.

Just a click.

No offer.
No signup form.
No funnel.

Just a page asking visitors to click a button.

If someone clicked the button, it would simply record that they participated in the experiment.

Nothing else happened.

No email collected.
No redirect.
No sales pitch waiting on the next page.

Just curiosity.

The goal was simply to see how many people arriving from safelists were actually looking at the pages they landed on.

The Splash Page

Here is the splash page I used for the experiment.

splash page showing the very simple safelist experiment

The page was intentionally very simple.

It explained that I was running a public safelist experiment and invited people to participate by clicking the button.

When someone clicked it, they saw a short message saying their participation had been recorded.

That was the entire experience.

The Email I Sent

This is the exact email I used.

🧪 A Very Simple Safelist Experiment

Hi, I’m Jerry.

I’m running a very simple public safelist experiment.

No offer. No sales pitch. Just a button.

Clicking it simply records anonymous participation. Nothing is being sold and nothing is being collected.

If you’d like to take part, just click the button.

That’s it.

Thanks for indulging my curiosity 🙂

Jerry

Running the Test

I promoted that splash page on 40 different safelists over the course of about a week.

The response was actually better than I expected.

The page received thousands of visits and hundreds of voluntary clicks from people choosing to participate in the experiment.

Which is exactly what I was hoping for.

Unlike opt-ins, this kind of interaction generates a lot of data very quickly, which makes it much easier to see patterns.

One Result I Didn’t Expect

As I started looking through the results, one platform immediately stood out.

The difference wasn’t small.

It was big enough that I double-checked the numbers just to make sure I wasn’t reading something wrong.

Everything checked out.

The numbers were real.

I’ll share the full breakdown in the next post, but that particular result gave me a lot to think about regarding how different safelist communities interact with ads.

What I’ll Share Next

In the next post I’ll go through the results of the experiment in more detail, including:

– total visits
– participation clicks
– which platforms showed the strongest engagement
– a few patterns that stood out to me while looking through the data

Some of the results were exactly what I expected.

Others were not.

And one result in particular surprised me quite a bit.

More on that soon.

Not Every Good Idea Deserves to Be Built

Illustration of a thoughtful man reflecting on clever online business ideas and digital income opportunities

If you’ve been in online marketing for any length of time, you know what it’s like to be flooded with ideas.

New angles.
New projects.
New “this could be big” moments.

Ideas are never the problem.

The real challenge is deciding which ones are actually worth your time — and which ones quietly fade away.

Over the years, I’ve started to notice some patterns in how I evaluate them.


Why Some Ideas Feel So Exciting

For me, the ideas that create the biggest spark aren’t always tied directly to money.

Sometimes they’re just… interesting.

Sometimes they feel clever, different, or oddly satisfying in a way that’s hard to explain. The kind of idea that makes you stop and think, “That’s actually pretty cool.”

I recently had that exact feeling with a concept for tracking activity on safelists. It may never generate a dime by itself, but that almost feels beside the point.

It’s a genuinely useful idea.

It’s something I haven’t seen anyone else doing.

And most importantly, it’s the kind of thing that helps me stand out, build my brand, and strengthen my authority.

Those are often the ideas that end up being the most energizing — not because of what they earn, but because of what they represent.


Where I’ve Learned to Be Careful

Experience, however, has taught me that excitement alone is a terrible decision-making tool.

Some of the ideas that look great at first glance fall apart quickly under closer inspection.

The biggest warning sign for me is simple:

If I don’t fully understand it, I slow down.

That doesn’t mean I abandon it immediately. But it does mean I’m cautious. Complexity, hidden dependencies, or unclear mechanics have a way of turning “great ideas” into long, frustrating detours.

Another major filter is audience fit.

Trying to force people into something they don’t naturally want is rarely a winning strategy. I’ve seen this mistake play out countless times — not just in my own projects, but across the entire industry.

No matter how clever an idea seems, if it doesn’t align with the people you’re actually serving, it becomes an uphill battle.


What Makes an Idea Worth Building

When an idea does survive those filters, a few traits almost always stand out.

The strongest ideas tend to fit naturally into my existing systems.

They don’t require reinventing everything.
They don’t introduce unnecessary complexity.
They build on what’s already working.

I’m also drawn to ideas that feel unique in a practical way — something that fills a need people may not have clearly recognized yet, but immediately understand once they see it.

Those ideas have staying power.

They don’t rely on novelty alone. They provide real utility.


The Hard Truth About Ideas

After years of chasing, testing, building, and occasionally abandoning projects, I’ve come to believe something that sounds obvious but is surprisingly easy to forget:

The best ideas are usually wasted if you don’t make them happen.

An idea sitting in your head has no value.

Execution is what gives ideas meaning.

Not perfection.
Not endless planning.
Not waiting for the “right moment.”

Progress.

Movement.

Action.

Because in the end, the gap between a good idea and a successful one is almost always the same thing:

Someone actually built it.

How ChatGPT Changed the Way I Get Things Done

Man interacting with a glowing AI interface in a modern home office

I’ve been using ChatGPT heavily in my business for a while now, and I’ve noticed something interesting.

It didn’t suddenly make me smarter.
It didn’t replace my experience.
And it definitely didn’t start running my business for me.

What it changed was how easily I can move from idea to action.

And that’s made all the difference.


Where Work Used to Stall

Before ChatGPT, most of my projects didn’t stall because I didn’t know what to do.

They stalled on the details.

Small decisions would pile up:

  • Which font should I use?
  • Is this font size too big?
  • Does this color feel right?
  • Is this layout clean enough?

None of those decisions are hard on their own — but together, they slow everything down. I’d second-guess myself, tweak endlessly, and sometimes walk away just to avoid making another choice.

Now, I let ChatGPT make those decisions for me.

Not because it’s always perfect — but because it gives me a solid starting point.

If I like it, I move on.
If I don’t, I change it.

Either way, I’m no longer stuck.


Trusting “Good Enough” to Keep Moving

One of the biggest shifts for me has been learning to trust that the easy solution isn’t a bad solution.

ChatGPT helps me pick something sensible so I can keep going.

And here’s the key part:
I don’t have to finish everything perfectly in one pass.

If I want to improve something later, I can.
But the project is already moving forward.

That alone has removed a ton of mental friction from my day-to-day work.


Where I See the Biggest Impact

The biggest impact for me has been in PHP and functionality.

I’ve known a little PHP for a long time, but there were always limits to what I felt comfortable tackling on my own. Anything beyond small changes usually meant living with the limitation — or hiring a developer for what felt like a relatively small idea.

Now, I can literally say:

“I wish this page could do this.”

And ChatGPT helps me write the code to make it happen.

It’s not always as simple as copy-and-paste. Sometimes it takes a few rounds of tweaking or troubleshooting. But even then, it’s far better than I could do on my own, and far faster and cheaper than outsourcing every small improvement I want to make.

That’s been a game changer.

It means ideas don’t die in my head anymore just because they feel slightly out of reach.


Still Thinking for Myself

One thing I want to be clear about: I don’t blindly accept everything ChatGPT suggests.

If something doesn’t feel right, I stop and think it through.
If I don’t like an approach, I change it.
If I want a different direction, I push back.

ChatGPT doesn’t replace my judgment — it supports it.

It handles the friction so I can focus on decisions that actually matter.


The Real Difference

ChatGPT didn’t change what I do.

It changed how easily I can put ideas into action.

When you remove friction, reduce hesitation, and stop getting stuck on small decisions, work starts flowing again.

That’s been the biggest win for me.

How I Actually Use ChatGPT in My Daily Marketing Work

Business owner using ChatGPT to plan, code, and write with AI assistance on a modern home office setup.

I’ve been using ChatGPT pretty heavily in my business, and over time I’ve noticed something I didn’t expect:

It didn’t change what I do.
It changed how I do it.

From the outside, my work probably looks the same. I still run websites, write emails, plan content, analyze numbers, and make decisions the same way I always have. But the process feels lighter now. Less friction. Less second-guessing. More forward motion.

That’s what I want to talk about here.

Not prompts.
Not tricks.
Just how it fits into my real, day-to-day work.


Writing Without Second-Guessing Every Word

One of the biggest shifts for me has been writing.

Before ChatGPT, writing copy always felt heavier than it needed to be. Not because I couldn’t write — but because I’d second-guess myself constantly. I’d spend way too much time worrying about flow, length, tone, and whether I picked the “right” words.

Now, instead of staring at a blank screen or endlessly rewriting the same paragraph, I can work through ideas much faster.

ChatGPT gives me options.

Different ways to say the same thing. Different tones. Different structures. From there, I decide what feels right. I tweak it, simplify it, or throw it out entirely if it doesn’t fit.

I’m still making the decisions.
I’m just not stuck at the starting line anymore.


Making Website Improvements Part of My Routine

Another thing that’s changed is how often I improve my websites.

There used to be a lot of small things I wanted to tweak — spacing, layout, styling, little visual issues — but I’d put them off. Not because they were impossible, but because they felt annoying or time-consuming to figure out.

Now, making improvements has become routine.

If I have an idea, I can work through it step by step instead of letting it sit in the back of my mind. That momentum adds up. Small improvements stack. Sites feel more polished. And I actually enjoy refining things instead of avoiding them.


Coding With More Confidence (Especially the Visual Stuff)

I’ve known a little programming for a long time, but ChatGPT has completely changed what I’m comfortable tackling.

Writing PHP and CSS now feels far less intimidating. I can build things, test them, adjust them, and fix problems much faster than before. Even better, I understand why things work instead of blindly pasting code and hoping for the best.

The biggest difference has been on the visual side.

Pages look more professional now — and that matters. When what you’re building looks better, you feel more confident shipping it. That confidence carries into everything else you do.


Planning, Brainstorming, and Thinking Long-Term

I also use ChatGPT as a thinking partner.

For planning long-term strategies.
For brainstorming blog topics.
For analyzing sales data and patterns.

It helps me organize thoughts that are already in my head and see things from angles I might’ve missed. I don’t treat it as an authority — I treat it like a sounding board that helps me think more clearly.


I’m Still in Control

This part matters.

If I don’t like the direction ChatGPT is going, I stop. I rethink. I take a different approach. The tool doesn’t override judgment — it supports it.

I don’t rely on it for obscure facts or anything that needs absolute certainty. Experience still matters. Context still matters. And intuition still plays a role.

ChatGPT doesn’t replace that. It just removes a lot of unnecessary friction along the way.


The Bigger Picture

Looking back, the biggest change hasn’t been productivity for productivity’s sake.

It’s confidence.

Confidence in writing.
Confidence in coding.
Confidence in making changes instead of putting them off.

If you’ve ever felt stuck because you weren’t sure how to start — or because you kept second-guessing yourself — tools like this can make the work feel lighter without taking control away from you.

You’re still the one steering.
You just don’t have to do it all alone anymore.

And that’s made a bigger difference for me than I ever expected.

Honeygain vs EarnApp: What Happened When I Ran Both Over Time

Home office scene showing a person working at a desk while passive income apps run quietly in the background

Over the past few years, more tools have appeared that promise passive income by sharing unused internet bandwidth. The idea is simple: install an app, let it run quietly in the background, and earn a little over time without actively doing anything.

Honeygain and EarnApp are two programs that fall into this category.

I decided to try both out of curiosity and let them run the way most people would — quietly, in the background, without any special effort. After letting them run for a long stretch of time, I eventually took a closer look at the numbers and noticed a difference that felt worth sharing.

This post isn’t about predictions or promises. It’s simply a look at what happened when I ran both apps under the same conditions and let them do their thing.


What These Programs Are (and What to Expect)

Honeygain and EarnApp are often described as bandwidth-sharing or passive internet sharing apps.

In simple terms, they allow you to earn small amounts of money by sharing unused internet bandwidth. Once installed, the app runs quietly in the background and uses your connection when there’s demand. There are no ads to click and no tasks to complete.

It’s important to keep expectations realistic.

These programs are not get-rich-quick tools. Earnings are usually modest and depend on things like:

– your location
– internet speed and reliability
– how often your connection is needed
– how long the app stays online

They’re best viewed as background earners — something that runs quietly while your computer is already on.


How I Ran This Test

Both Honeygain and EarnApp were installed on the same computer, using the same internet connection, starting on February 17, 2025.

I didn’t optimize one over the other or change any special settings. Once installed, both apps simply ran in the background as intended.

This was a passive setup. I wasn’t checking dashboards regularly or trying to maximize earnings. My goal was to see how both apps behaved over time under normal, everyday use.

In short:

– Same machine
– Same location
– Same internet connection
– Same start date
– Long-term runtime
– Minimal interaction

This is simply a real-world look at how both apps performed for me under the same conditions.


Honeygain: What I Observed

Honeygain was easy to set up and required very little attention once it was running.

Over time, it showed steady, day-to-day activity. It ran quietly in the background and accumulated earnings gradually, which is exactly what it’s designed to do.

Honeygain also includes a Content Delivery feature that can increase activity when it’s available. In my case, that feature wasn’t always active, which appears to vary depending on location and demand.

Overall, Honeygain behaved predictably and required very little effort once installed.

Honeygain earnings dashboard showing accumulated balance from background usage
Honeygain earnings overview after extended background usage.

Honeygain daily activity showing consistent background usage.
Honeygain daily activity showing consistent background usage.

EarnApp: What I Observed

EarnApp was installed at the same time as Honeygain and ran under the same conditions — same computer, same internet connection, same location.

Like Honeygain, it required very little attention once it was set up. It ran quietly in the background, and for long stretches of time I didn’t think much about it.

What became noticeable over time was how quickly earnings accumulated compared to what I was seeing elsewhere. This wasn’t obvious right away, but as the months passed, the difference became harder to ignore.

When I eventually checked the lifetime totals, EarnApp had generated significantly more earnings over the same period. There were no special optimizations involved — it was simply running passively, just like Honeygain.

EarnApp lifetime earnings after nearly a year of passive background use.

Side-by-Side Snapshot

HoneygainEarnApp
Install dateFebruary 17, 2025February 17, 2025
RuntimeLong-termLong-term
DeviceSame computerSame computer
Internet connectionSame connectionSame connection
Interaction requiredVery lowVery low
Passive background useYesYes
Earnings observedSteady, gradualHigher over time
Overall impressionPredictableStrong long-term performance

If You Want to Try This Yourself

If you’re curious how these programs might behave on your own connection, the simplest approach is the one I used: install them, let them run, and check back later to see what happens.

Both Honeygain and EarnApp are designed to run quietly in the background and don’t require much attention once they’re set up.

If you want to explore them yourself, here are the programs I used:

Honeygainhttps://join.honeygain.com/JERRY8F459
EarnApphttps://earnapp.com/i/gRsgga3l

Running both makes it easier to see how they behave on your own setup and decide what’s worth keeping long-term.


Final Thoughts

The biggest takeaway for me was simple: testing beats guessing.

I didn’t change my habits, tweak settings, or try to optimize anything. I just let both apps run and paid attention to what happened over time.

Results will vary based on location, demand, and usage, but if you’re curious about this kind of passive setup, the only way to know how it performs for you is to try it and track what happens.

— Jerry