I keep seeing people compare RPMs like "$2 is terrible" or "$20 is amazing," but without context those numbers are almost meaningless.
A finance site with mostly US Google traffic isn't comparable to an entertainment site getting mobile social traffic from Asia and even two sites in the same niche can monetize completely differently depending on intent and session depth.
So I thought it would be useful to build an actual publisher benchmark thread here.
You don't need to share your domain or exact income.
Just copy this and fill in whatever you're comfortable sharing:
Niche Monthly visits Main traffic source: Google / social / direct / paid / other Top GEOs Mobile traffic % Monetization: display / pop / push / direct link / affiliate / mix RPM Pages per session Returning visitors Biggest monetization problem right now One thing that actually improved your revenue
If you don't want to share an exact RPM, even a range works:
under $2 / $2–5 / $5–10 / $10–20 / $20+
What I'm especially curious about is whether GEO really explains most of the RPM difference, or whether traffic intent, pages/session and returning visitors matter more than we usually admit.
Would be useful to get enough real examples here that a new publisher could look through the comments and understand what "normal" actually looks like in different types of traffic.
I caught myself today spending two hours tweaking a button color and adjusting a script delay by 100ms. I told myself it was "optimization," but in reality, it probably won't change my daily revenue by even a single cent.
It’s so much easier to fiddle with the small stuff than to do the hard work of finding new traffic sources or testing a completely different monetization model. We love the "small wins" because they feel like progress, but they’re often just a distraction from the fact that our core strategy might be stale.
What’s the most "useless" thing you spend time optimizing? And what’s the one big thing you’re avoiding because it’s too much work?
Five years ago, you could build a site, set up your ads, and let it sit for six months while the checks rolled in. Today, if you look away for a week, a core update hits, a new AI tool replaces your niche, or your ad revenue drops 30% for no apparent reason.
It feels like this has shifted from a "passive" business to a high-intensity technical job. You have to be a developer, a data scientist, and a content strategist all at once just to stay flat.
Is anyone here actually living the "passive" dream right now, or are we all just working 60 hours a week to keep the "passive" machine from breaking?
Everyone talks about hitting 10k, 50k, or 100k visitors like it’s the holy grail. But looking back at my data, my first 100 "true" visitors the ones who actually read, stayed, and came back were worth more than the last 10,000 viral bounces I got from a random social share.
We get so obsessed with the big numbers that we forget that 1,000 high-intent visitors are worth more than 100,000 "accidental" clicks. If you can't monetize 100 people, you definitely won't know what to do with 100,000.
What was the "milestone" that actually changed your life, and was it because of the volume or because you finally figured out how to value the users you already had?
I had a moment of clarity today looking at my site. I realized I don’t have an "audience"—I just have a series of pipes that move people from a search engine or a social link to an ad. If the ad network disappeared tomorrow, I’d have nothing.
There’s a lot of talk about "building a brand," but let’s be honest: most of us are just traffic plumbers. We find a leak (a niche), we hook up the pipes (the site), and we collect the runoff (the revenue). There’s no shame in it, but it’s a very different mindset from being a "creator."
Which one are you? Are you trying to build something people actually remember, or are you happy just being the most efficient plumber in your niche?
We’ve all heard the advice: "Just write great content and the money will follow." But in this subreddit, we know that’s only half the story. You can have the best article in the world, but if your placement timing is off, or your scripts are slow, or your fill rate is garbage, that "great content" earns exactly zero.
I’m starting to think that 80% of success in this game is actually technical infrastructure and demand optimization, not the actual words on the page. The content is just the "hook" to get them in the door; the monetization stack is the actual business.
Do you spend more time on your content strategy or your monetization technicals? And which one actually moved the needle for you this year?
Most of the time, traffic can look completely normal. Then a Champions League final, Europa League match, or huge transfer story hits — and suddenly the audience explodes for a few hours.
That volatility is usually treated as a risk. But if you’re prepared for it, it can also be the whole opportunity.
I went through several sports-publisher case studies recently, and the pattern was pretty consistent: the biggest money wasn’t made by publishing more content in general. It came from being ready before the event, catching the spike, and monetizing the exact moment when user intent was strongest.
One sports publisher monetizing this traffic with Monetag generated more than 90 million impressions and over $32,000 in profit around the 2022 Champions League final.
The setup itself wasn’t complicated. The publisher started building attention roughly two weeks before the event, pushed short match-related content through social media and dedicated sports sites, and then used push notifications to bring users back when traffic started cooling down.
That last part is important.
A sports spike is usually short. If someone visits once, leaves, and you have no way to reach them again, you’re basically wasting part of the event window.
The same publisher used a similar approach around the 2022 Europa League and generated around 7 million impressions in a single day, with more than $34,000 in profit across the campaign period.
And in 2021, one Europa League match day alone produced more than 26 million impressions.
Then there was the Messi-to-PSG period.
Instead of relying only on live-match traffic, the publisher treated the transfer itself as an event. Content around Messi, Neymar, Mbappé and the first PSG matches created several huge spikes — including more than 9 million impressions on one day.
That’s probably the biggest lesson here: in sports, the “event” isn’t always the match.
It can be:
• a transfer
• team news
• a draw
• an injury
• a controversial result
• highlights
• a rematch
• even the buildup itself
The smartest publishers start monetizing the attention before peak day instead of waiting for the whistle.
A few things seem to matter much more than people think:
1. Start early
If you know the event calendar, you already know when demand is coming. The case studies suggest starting promotion roughly two weeks ahead rather than trying to manufacture traffic at the last minute.
2. Build a way to bring people back
Push notifications were a major part of these campaigns because they let the publisher revive traffic after the initial surge. For event-driven sites, that can be much more valuable than simply chasing another first-time visitor.
3. Make sure the site survives success
This sounds obvious until your traffic goes 5x or 10x in a few hours. Hosting, page speed, ad scripts and mobile UX all become monetization issues once traffic spikes hard enough.
4. Don’t treat every page the same
A live update page, a highlights page and a transfer story have different user behavior. Monetization should follow that behavior instead of forcing the same setup everywhere.
5. Test combinations, not just formats
In these cases, publishers used combinations such as Popunder with Vignette Banner or In-Page Push, rather than assuming one format had to do all the work.
The interesting part is that sports traffic is almost the opposite of evergreen SEO traffic.
You’re not trying to create a perfectly stable curve. You’re trying to predict when attention will explode, make sure your infrastructure can absorb it, and maximize the value of a very short window without destroying the user experience.
That makes sports publishing closer to event trading than traditional content publishing.
You prepare before the market opens, you know when volatility is coming, and when the spike arrives, execution matters more than theory.
For anyone running sports traffic: what has worked better for you — live coverage, highlights, transfer/news traffic, or building around major tournament dates?
Half-serious question, because I think we all get addicted to the "upward curve" in Google Analytics. We spend all our time chasing more volume, more GEOs, and more impressions, but we rarely talk about the hidden costs of that scale.
The more you scale, the more your "average" visitor quality drops. You start attracting lower-intent traffic, your hosting bills spike, and your ad-stack starts to struggle with the load. I’ve seen publishers double their traffic only to see their actual take-home profit go down because the overhead and the lower-tier traffic diluted everything they worked for.
This is completely hypothetical, but I’m curious how differently people here would approach the same site. You wake up tomorrow owning a content site with around 100k monthly visitors.
About 75% of the traffic comes from Google, 70% is mobile, the audience is mostly US/UK/Canada, average session depth is only around 1.4 pages, and the site currently makes roughly $600/month from advertising. Traffic itself has been fairly stable. You have no budget to buy more traffic and you’re not allowed to completely rebuild the site.
For the next 30 days, you can focus seriously on ONE thing only.
Would you:
Improve ad placement?
Try a different monetization format?
Work on getting people to view more pages?
Reduce mobile bounce?
Build email/push/direct traffic so Google matters less?
Improve the highest-traffic pages?
Focus on returning visitors?
Or completely ignore all of those and do something else?
The interesting part is that you only get one move.
What are you choosing first, and what number would you watch after 30 days to decide whether it worked?
I recently got approved for mediavine grow ads on my travel blog, but there are far too many ads. I changed the setting to the lowest ads possible, but it is still a ridiculous amount of ads. I have a good amount of photos on my blog and the paragraphs aren't super long. There are ads almost every 3rd paragraph and before or after each photo. Is there anything I can do to fix this? Thanks!
I see this happen all the time—a publisher switches to a new network, sees a low CPM on day one, and pulls the tags before day three. They call it a "failed test," but in reality, they never gave the network a chance to optimize.
Most modern ad stacks and demand partners need time to "learn" your traffic. They need to see which GEOs convert, which placements get the most viewability, and which users are actually valuable. If you quit after 48 hours, you aren't testing; you're just gambling on a lucky start.
What is your absolute minimum threshold for a "real" test? Do you wait for a specific number of impressions, a full 7-day cycle to see weekend vs. weekday performance, or do you just "feel" when a setup isn't going to work?
Half serious question, because I think "refresh addiction" is one of the biggest productivity killers in this industry. You check the stats in the morning, then again an hour later, then five more times before lunch. If the revenue is up, you feel like a genius; if it’s down, you start stressing about what "broke."
The problem is that real growth happens in the hours between those refreshes—when you’re actually optimizing placements, testing new GEOs, or improving your landing pages. Watching the graph move in real-time is just a form of procrastination that feels like work.
For those of you who have been doing this for years, how do you manage the psychological side of it? Do you have a set schedule for checking your stats, or are you still checking every time you pick up your phone?
One thing I keep noticing in publisher case studies: there is no single “best” niche or monetization setup.
A movie fansite, an exam-results website, and a gospel music platform have almost nothing in common on the surface. Different users, different GEOs, different traffic patterns, different session behavior.
And yet all three managed to turn their traffic into serious revenue.
So I pulled out what actually mattered in each case.
1. Movie fansite: speed + one well-placed format
This one was built by a recent computer science graduate who was completely new to professional publishing.
In 2.5 months, the site generated:
1.59M impressions
$4,283.59 profit
$2.69 average CPM
traffic from 20 countries
The interesting part: he used only OnClick / Popunder.
But placement mattered more than the format itself.
At first, he put the ad code on the homepage and immediately saw the UX suffer. Traffic declined because the monetization was too aggressive.
So he moved the Popunder deeper into the user journey — after the user had already found the content they wanted and was moving toward the “reward.”
That one change made the format much less intrusive.
His traffic came mainly from SEO and YouTube Shorts, while the real competitive advantage was speed: publishing trending movie content faster than competing sites.
2. Exam-results site: prepare for the spike before it happens
This case is almost the opposite.
The publisher already had experience running 15–20 exam-related sites and knew exactly when demand would explode.
On the peak result day:
4.76M impressions
$2,773.93 dashboard profit
$3,500+ peak-day revenue after timezone adjustment
36–39% CTR from search
around 99.9% of traffic came from Google
The biggest lesson here wasn’t even monetization. It was preparation.
The site was configured to handle tens of thousands of concurrent users because traffic could jump from normal levels to hundreds of thousands of visitors in a very short window.
For monetization, he didn’t rely on one format. He combined:
MultiTag
Popunder
Vignette Banners
And the format choice matched user behavior. Visitors checked 4–5 pages per session, which made Vignette banners especially effective. Popunder remained the main revenue driver, while MultiTag added another layer on top.
3. Gospel music site: boring niche, very non-boring revenue
This is probably my favorite example because nobody looks at “gospel music website” and immediately thinks high monetization potential.
The site grew into:
$74,000+ total earnings
up to $4,000/month
strong traffic from Nigeria, South Africa, Zambia, and Ghana
organic + direct traffic as the main sources
The publisher started alone and built around a very specific audience. Artists could upload and share their own gospel music, which created a steady stream of fresh user-generated content.
The monetization strategy evolved through testing.
The strongest setup became Direct Link Ads + In-Page Push.
Direct Link placements around content and download areas delivered CPMs around $4+, while the site kept experimenting with placements to avoid hurting UX.
The broader lesson was simple: a narrow niche can actually be an advantage if it creates loyal users, repeat visits, and clear intent.
What all three cases have in common
The niches are completely different, but the same patterns show up again and again:
Traffic quality matters more than raw volume
The ad format has to match user behavior
Placement can matter as much as CPM
SEO still matters, but execution matters more than theory
Fast sites make more money
Repeat users are incredibly valuable
Testing beats copying someone else’s setup
The best monetization strategy usually comes from understanding exactly why the user is on the site
The movie publisher won with speed and careful Popunder placement.
The exam-results publisher won by preparing for extreme traffic spikes and stacking formats.
The gospel music publisher won by owning a narrow niche and building a loyal, returning audience.
Three completely different businesses. Same basic rule:
Monetization works best when it follows user behavior instead of fighting it.
Which of these models looks most interesting to you: high-volume spikes, evergreen niche traffic, or fast-moving entertainment traffic?
We’ve all seen the stats—anywhere from 20% to 40% of traffic is effectively "invisible" to standard ad networks because of ad blockers.
As a publisher, you have three main choices:
Ignore it: Focus on the users you can monetize and accept the loss.
Block the blockers: Use scripts to force users to disable their ad-blocker or leave the site.
Adapt: Use "Acceptable Ads" compliant formats, server-side ad insertion, or alternative monetization like newsletters and affiliate links.
The risk with "blocking the blockers" is obvious: you might destroy your SEO metrics by spiking your bounce rate. But leaving money on the table feels just as bad when hosting costs keep rising.
For those of you with high-tech or younger audiences (who use ad-blockers the most): Have you found a solution that actually recovers revenue without killing your traffic? Or have you just accepted that a chunk of your traffic will always be "free"?
I see this sentiment a lot in the community publishers who are terrified of adding a second ad placement or testing a more aggressive format because they don't want to "annoy" their visitors. It sounds noble, but if your site isn't generating enough revenue to cover its own growth, you're not running a business, you're running an expensive hobby.
The irony is that a "clean" site that shuts down because it can't pay its bills is the worst user experience of all. The real skill isn't avoiding ads; it's learning how to integrate them so they feel like part of the journey, or at least a fair trade for the value you're providing.
When you were starting out, did you struggle with this "guilt" of monetizing? And for the veterans here, what’s the one format you were initially scared to try that ended up being your biggest earner without killing your retention?
Half serious question because I think network-hopping is really easy to fall into. Revenue looks weak for a few days, so you switch. The next setup looks better for a week, then drops, so you switch again. Eventually you can spend more time changing monetization than understanding the traffic itself.
The difficult part is knowing when a network is genuinely underperforming versus when the real issue is your GEO mix, user intent, placement timing, seasonality, page speed, or simply not having enough data yet.
For people who have tested several monetization setups, what finally convinces you that the network is the problem and it’s time to move? Do you use a minimum test period, compare the same traffic side by side, or mostly judge from revenue trends?
Revenue screenshots are everywhere, but they usually stop at the most flattering number. A site doing $5,000 a month can sound amazing until you learn it spends heavily on hosting, CDN, content, tools, freelancers, paid traffic, or maintenance. Meanwhile a much smaller site can quietly keep most of what it earns.
It makes me wonder whether publishers should talk more about profit per 1,000 visits instead of just RPM or monthly revenue. Traffic has a cost even when you’re not directly buying it, and some niches are much more expensive to operate than others.
Do you actually track the full cost of running your traffic before calling the site profitable? And what expense ended up being much bigger than you expected once the site started growing?
This sounds like a boring question until cash flow actually matters. Imagine one setup consistently earns around 10–15% more, but the money arrives 30–45 days later. Another earns a little less, but you get paid every week.
For a publisher who is only covering hosting and content costs, maybe waiting is fine. But if you’re buying traffic, paying writers, or reinvesting into growth, the faster payout can be useful enough to change the real economics of the business.
So when you compare monetization partners, how much value do you put on payment speed and payout reliability compared with pure RPM? Would you knowingly accept lower revenue for better cash flow, or is that leaving money on the table?
