[Journey] From $0 to… Hopefully Something – My OFM + AI Experiment

Day 202 Update

Another strong day. Revenue is still moving up, but today was mostly about looking at where the operation can become less dependent on me without losing quality.

Revenue
• Total: $5,128
• Subscriptions: $1,083
• PPV: $3,252
• Tips: $793

Subscribers
• New subs: 329
• Rebill rate: ~96%

Traffic Sources
• Instagram: ~13%
• Reddit: ~72%
• TikTok: ~10%
• Other: ~5%

Content Posted
• IG Reels: 4
• TikToks: 2
• Reddit posts: 40
• IG Stories: 48

Operations

Chatter handled most conversations. I focused mainly on reviewing decisions that still require my input and trying to separate what actually needs my attention from what can be handled with clearer rules.

Observations

Biggest takeaway today:

A business is not scalable if every important decision has to pass through you.

This is becoming more obvious now.

Earlier in the journey, being involved in everything was useful because I was still learning the system.

Now it can become a bottleneck.

If every buyer decision, every content adjustment, every chat issue, and every small problem needs me, then the system is not really scaling. It is just getting heavier.

Another thing I noticed:

The goal is not to remove myself completely, but to remove myself from low-value decisions.

I still want to be involved in strategy, high-value users, model quality, and major direction.

But I do not need to manually decide every small thing.

That is where simple rules, better notes, and cleaner workflows matter.

On the monetization side:

Repeat buyers are still carrying the strongest part of the growth.

Fresh subs are good, but the real stability is coming from users who already trust the page and keep coming back when handled correctly.

The more I look at the numbers, the more obvious it becomes that retention is not just a nice bonus.

It is the foundation.

Reddit continues to dominate buyer quality. IG and TikTok still help with reach, but Reddit users are still coming in with stronger intent and better repeat behavior.

Another interesting point:

Scaling is mostly about reducing bad decisions, not making genius decisions every day.

Most of the improvements now are not huge breakthroughs.

They are simple things:

Better notes.
Faster routing.
Cleaner offer timing.
Less attention wasted on dead chats.
Better protection of strong buyers.

Nothing fancy, but it compounds.

New Focus / Tests

• Reduce dependence on manual decisions
• Give chatter clearer rules for buyer handling
• Improve routing of high-value users
• Keep repeat buyer notes short and usable
• Continue scaling Reddit without getting sloppy

The system keeps growing, but the real challenge now is making sure growth does not create a bigger mess behind the scenes.

Hey mate, you mentioned above a desire to streamline things by removing yourself from 'low value decisions'. You also hinted that this would be accomplished by removing the need for these decisions through work-flow adjustments, modified or new rules etc.
Do you envisage reaching a point in the future where more support staff would be needed, or, despite the ongoing scaling is this something one man at the helm can steer, albeit with assistance if AI, mega-streamlined processes and the 'chatter'?
(Am up to my neck in my one-note now haha).

When you get a TikTok, Instagram, or other social account banned or shadowbanned, what does your recovery/reset process actually look like?

Specifically:

1. Do you just cycle the IP address and log in with a new account on the same device?
2. Do you factory reset the entire phone (or use a device fingerprint changer)?
3. Do you permanently retire that phone and move to a completely new device?
4. Are you using jailbroken/rooted phones with spoofing tools, or just stock devices?

My main concern is platform-level device bans—I'm worried that if one account gets hit, the other accounts on that same phone might get flagged or nuked too. How do you isolate your accounts to prevent that spillover?

Thanks in advance for any insight you can share!

Damn people really into this huh, is this really worth the time and budget?

I've heard a lot people talking about this Ofm AI

affoff said:

Hey mate, you mentioned above a desire to streamline things by removing yourself from 'low value decisions'. You also hinted that this would be accomplished by removing the need for these decisions through work-flow adjustments, modified or new rules etc.
Do you envisage reaching a point in the future where more support staff would be needed, or, despite the ongoing scaling is this something one man at the helm can steer, albeit with assistance if AI, mega-streamlined processes and the 'chatter'?
(Am up to my neck in my one-note now haha).

Click to expand...

Yeah exactly, that’s how I see it.
I think one person can steer it for quite a while if the systems are clean enough, but I don’t think one person can do everything forever without quality dropping. AI helps a lot with thinking, planning, organizing notes, content ideas, reviewing patterns, etc., but it doesn’t replace judgment. You still need someone making decisions and catching mistakes.
The way I see it, the goal is not to build some huge team too early. That usually creates more problems than it solves. The goal is to remove myself from low-value decisions first, then only add people when there is a clear role that saves time or protects revenue.
Right now the obvious support is chatting, then probably QA/review, content scheduling, and maybe model coordination later. But I’d rather add one good person into a simple system than five average people into a messy one.
So yeah, one man can stay at the helm, but the machine underneath him needs help eventually. Otherwise scaling just becomes more stress disguised as growth haha.

mangirdosas said:

When you get a TikTok, Instagram, or other social account banned or shadowbanned, what does your recovery/reset process actually look like?

Specifically:

1. Do you just cycle the IP address and log in with a new account on the same device?
2. Do you factory reset the entire phone (or use a device fingerprint changer)?
3. Do you permanently retire that phone and move to a completely new device?
4. Are you using jailbroken/rooted phones with spoofing tools, or just stock devices?

My main concern is platform-level device bans—I'm worried that if one account gets hit, the other accounts on that same phone might get flagged or nuked too. How do you isolate your accounts to prevent that spillover?

Thanks in advance for any insight you can share!

Click to expand...

I can’t really give a step-by-step on bypassing platform bans, fingerprinting, spoofing, jailbroken phones, etc. That stuff is a dangerous rabbit hole and usually makes people focus on the wrong part of the business.
My approach is much more boring: I don’t build the setup around hacked devices or magic reset tricks. I try to keep accounts as clean and natural as possible, use normal devices, avoid aggressive behavior, and treat bans/shadowbans as a signal that something in the content, posting pattern, or account behavior needs to be fixed.

If an account gets hit, I don’t instantly try to “force” it back with tricks. I usually review what caused it, stop repeating the same behavior, and avoid putting too much business-critical traffic on one fragile setup.
The main protection is not some perfect device reset method. It’s not being sloppy in the first place: don’t over-stack accounts, don’t spam, don’t automate like crazy, don’t copy-paste the same behavior everywhere, and don’t scale faster than the accounts can handle.

Boring answer, but honestly the more I scale, the more I think clean operations beat sketchy recovery methods.

Ksatriaseo said:

Damn people really into this huh, is this really worth the time and budget?

I've heard a lot people talking about this Ofm AI

Click to expand...

Yeah, people are definitely into it because the numbers can look crazy from the outside.
But is it worth the time and budget? Only if you treat it like a real business, not some quick AI cash grab. A lot of people hear “OFM AI” and think they can plug in prompts, automate everything, and print money. In reality, the hard parts are still traffic, creator/model selection, consistency, chatting quality, retention, and not burning accounts/users.

AI helps a lot with ideas, organization, content angles, notes, workflows, and speeding up repetitive thinking. But AI alone won’t fix a bad model, bad traffic, bad funnel, or lazy execution.
So yes, it can be worth it, but only if you’re ready for a lot of boring work before it starts looking exciting. Most people quit before the boring part compounds.

Day 203 Update

Another strong day. Revenue is still moving upward, but today was mostly about reviewing how much of the current growth is coming from better execution versus just more activity.

Revenue
• Total: $5,236
• Subscriptions: $1,104
• PPV: $3,318
• Tips: $814

Subscribers
• New subs: 336
• Rebill rate: ~96%

Traffic Sources
• Instagram: ~12%
• Reddit: ~73%
• TikTok: ~10%
• Other: ~5%

Content Posted
• IG Reels: 4
• TikToks: 3
• Reddit posts: 40
• IG Stories: 49

Operations

Chatter handled most conversations. I focused mainly on checking repeat buyer timing, reviewing user notes, and looking at where the system is still wasting attention on users who are unlikely to spend.

Observations

Biggest takeaway today:

More activity is not the same as more progress.

This becomes more obvious as the numbers grow.

You can post more.
You can message more.
You can open more conversations.

But if the extra activity is not aimed at the right users, it just creates noise.

The goal now is not just doing more.

The goal is doing less of the wrong things.

Another thing I noticed:

Low-value conversations are more expensive than they look.

A user who never buys does not just waste a few messages.

They waste attention.
They slow down the chatter.
They make good buyers wait longer.
They create fake busyness.

Cutting those conversations faster is starting to matter a lot.

On the monetization side:

Repeat buyers are still driving the strongest part of the day.

Fresh subs are good, but repeat buyers are what make the revenue feel more stable.

The difference between an average day and a strong day is usually not just more traffic.

It is better timing with people who already trust the page.

Reddit continues to dominate buyer quality. IG and TikTok still help bring attention, but Reddit users are still showing the strongest buying intent and best repeat behavior.

Another interesting point:

The system is becoming more about filtering than chasing.

Early on, I chased every possible user because every sale felt important.

Now the better move is filtering faster.

Who is worth attention?
Who is just talking?
Who needs warming?
Who should be left alone?
Who is ready for an offer?

Those decisions are becoming more valuable than just increasing volume.

New Focus / Tests

• Cut low-value conversations faster
• Improve buyer filtering rules
• Keep repeat buyer notes simple and useful
• Reduce fake busyness in the workflow
• Continue scaling Reddit without lowering quality

The system keeps growing, but the next stage is clearly about cleaner filtering, better attention, and less wasted effort.

The jump from “need first model” to 5k/day is wild, but the part I like is you’re not acting like AI is the business. It’s mostly boring ops, buyer notes, filtering time wasters... that’s where most guys drop the ball imo. One thing I’d watch is not letting Reddit become a single point of failure, even if buyer quality is best there. Keep testing the other channels while things are calm, not after Reddit decides to sneeze on your accounts.

First of all I am impressed of your consistency. Well done!

It’s super interesting to see that most your traffic comes from Reddit. Do you post in subreddit? Do you use proxy for that?

Hi! I'm curious about ur approach because i also use eeddit for promo but i cant get results like yours. I post about 40 img/video posts per day and i try to niche down as much as i can, doing daily tests with new subreddits, but it just dont work for me. So i was wondering if u could answer me these questions:

How many reddit accs do u use per model (face) to have constant presence? and how many posts per day u do on each acc so u dont get shadowbanned?

Do u have strategy for separating accs (like, swf ones and nsfw ones separate) or u mix content on same account to make it look more natural?

Are u still using excel/calendar for content management or did u find some alternative (maybe automation software or scheduling tool) that makes work easier without reddit banning u?

How often u reuse content on reddit? and what format works better for conversion for u: do u post native img/videos or u use platforms like redgifs?

Also, about how many visits do u get per reddit account on ur fansly and what is conversion rate (like, how many of those clicks actually sub)?

Campaigns By Mike said:

The jump from “need first model” to 5k/day is wild, but the part I like is you’re not acting like AI is the business. It’s mostly boring ops, buyer notes, filtering time wasters... that’s where most guys drop the ball imo. One thing I’d watch is not letting Reddit become a single point of failure, even if buyer quality is best there. Keep testing the other channels while things are calm, not after Reddit decides to sneeze on your accounts.

Click to expand...

I agree 100%.
AI is useful, but it’s not the business. The business is traffic, consistency, buyer handling, retention, notes, filtering, and not wasting time on users who were never going to spend anyway. AI just makes some parts faster if the fundamentals are already there.And you’re right about Reddit. It’s the strongest channel right now, but I don’t want to become too dependent on it. Any platform can change rules, visibility, moderation, or account trust overnight. That’s why I still keep IG/TikTok alive even if the buyer quality is lower. They’re not carrying the same revenue right now, but they matter as backup channels and for discovery. Better to keep testing them while things are stable than panic later if Reddit gets messy.

Creator90 said:

First of all I am impressed of your consistency. Well done!

It’s super interesting to see that most your traffic comes from Reddit. Do you post in subreddit? Do you use proxy for that?

Click to expand...

Thank you, appreciate it Yes, Reddit traffic mostly comes from posting in relevant subreddits, but I don’t treat it like spam posting. The main thing is matching the model/content to the right subreddit and respecting the vibe/rules of each place. Reddit is not like IG where you can just push content everywhere. If the post feels off, too promotional, or doesn’t fit the community, it dies fast or gets removed.
About proxies, I don’t really want to go deep into that side. I try to keep the setup clean and natural instead of building everything around tricks. The bigger focus is account quality, normal activity, good subreddit fit, and not scaling the posting footprint too aggressively.

lorand said:

Hi! I'm curious about ur approach because i also use eeddit for promo but i cant get results like yours. I post about 40 img/video posts per day and i try to niche down as much as i can, doing daily tests with new subreddits, but it just dont work for me. So i was wondering if u could answer me these questions:

How many reddit accs do u use per model (face) to have constant presence? and how many posts per day u do on each acc so u dont get shadowbanned?

Do u have strategy for separating accs (like, swf ones and nsfw ones separate) or u mix content on same account to make it look more natural?

Are u still using excel/calendar for content management or did u find some alternative (maybe automation software or scheduling tool) that makes work easier without reddit banning u?

How often u reuse content on reddit? and what format works better for conversion for u: do u post native img/videos or u use platforms like redgifs?

Also, about how many visits do u get per reddit account on ur fansly and what is conversion rate (like, how many of those clicks actually sub)?

Click to expand...

I think 40 posts/day might actually be part of the problem.
Reddit is not just volume. If the account looks like it only exists to push promo, people feel it fast and mods feel it even faster. I’d rather have fewer posts that fit the subreddit properly than blast everywhere and hope something sticks.

I don’t run a crazy amount of Reddit accounts per model. A few clean accounts with different angles/communities is better than many messy ones. I also don’t think in terms of “how many posts before shadowban.” That mindset usually leads to spammy behavior. I think more about whether the account looks natural, whether the posts fit, and whether the audience is actually right.
For SFW/NSFW, I don’t mix randomly just to look natural. Each account needs a clear purpose and vibe. If you confuse the audience, conversion drops. But the account still has to feel like a real account, not just a posting machine.
For content management, simple tracking still works best for me. You don’t need fancy automation if the basics are not working. I track what was posted, where, results, removals, clicks, subs, and notes about subreddit quality. Too much automation can create more problems than it solves.

I reuse content, but not in a lazy copy-paste way. Same content can work in different places if the angle, title, timing, and subreddit fit are different. Native posts usually feel more natural, but conversion depends more on the subreddit and user intent than just the format.
For visits/conversion, it varies a lot by account and subreddit. Some posts bring traffic but no buyers. Some bring fewer clicks but much better buyers. That’s why I care more about revenue per traffic source than raw visits. Reddit works for me because the intent is higher, not because every post gets massive traffic.

Day 204 Update

Another strong day. Revenue is still climbing, but today was mostly about reviewing traffic quality and making sure the growth is not becoming too dependent on one channel.

Revenue
• Total: $5,342
• Subscriptions: $1,126
• PPV: $3,385
• Tips: $831

Subscribers
• New subs: 343
• Rebill rate: ~96%

Traffic Sources
• Instagram: ~13%
• Reddit: ~72%
• TikTok: ~10%
• Other: ~5%

Content Posted
• IG Reels: 4
• TikToks: 3
• Reddit posts: 41
• IG Stories: 49

Operations

Chatter handled most conversations. I focused mainly on reviewing traffic source quality, checking where repeat buyers are coming from, and making sure Reddit growth stays controlled instead of messy.

Observations

Biggest takeaway today:

The strongest channel should not become the only channel.

Reddit is clearly carrying the best buyer quality right now.

The intent is better.
The repeat behavior is better.
The conversations are easier to monetize.

But relying too much on one platform is still risky.

Any platform can change.
Accounts can slow down.
Moderation can shift.
Traffic can become unstable.

So even though Reddit is the main engine right now, IG and TikTok still need to stay alive.

Another thing I noticed:

Traffic quality matters more than traffic volume.

Some sources bring attention but not buyers.

Some posts bring clicks but no real intent.

Some users look active but never convert.

The goal is not just more traffic. The goal is better traffic that turns into repeat buyers.

On the monetization side:

Repeat buyers are still the main reason the daily numbers feel stable.

Fresh subs help push the day forward, but the real strength is coming from users who already trust the page and keep coming back when handled properly.

This is why buyer notes, timing, and filtering matter so much now.

Reddit continues to dominate buyer quality, but I do not want the operation to become lazy because one channel is working well. Strong channels should be protected, not abused.

Another interesting point:

Scaling too aggressively can turn a good channel into a bad one.

When something works, the natural instinct is to push it harder.

But with Reddit, pushing harder without control can damage the footprint fast.

Better to scale cleanly and slowly than squeeze short-term numbers and lose the channel later.

New Focus / Tests

• Keep Reddit scaling controlled
• Continue testing IG/TikTok while things are stable
• Track revenue quality by traffic source
• Improve filtering of low-intent traffic
• Protect repeat buyer handling

The system keeps growing, but the main goal now is not just bigger numbers. It is building traffic and retention that can survive platform changes.

shijin said:

I think 40 posts/day might actually be part of the problem.
Reddit is not just volume. If the account looks like it only exists to push promo, people feel it fast and mods feel it even faster. I’d rather have fewer posts that fit the subreddit properly than blast everywhere and hope something sticks.

I don’t run a crazy amount of Reddit accounts per model. A few clean accounts with different angles/communities is better than many messy ones. I also don’t think in terms of “how many posts before shadowban.” That mindset usually leads to spammy behavior. I think more about whether the account looks natural, whether the posts fit, and whether the audience is actually right.
For SFW/NSFW, I don’t mix randomly just to look natural. Each account needs a clear purpose and vibe. If you confuse the audience, conversion drops. But the account still has to feel like a real account, not just a posting machine.
For content management, simple tracking still works best for me. You don’t need fancy automation if the basics are not working. I track what was posted, where, results, removals, clicks, subs, and notes about subreddit quality. Too much automation can create more problems than it solves.

I reuse content, but not in a lazy copy-paste way. Same content can work in different places if the angle, title, timing, and subreddit fit are different. Native posts usually feel more natural, but conversion depends more on the subreddit and user intent than just the format.
For visits/conversion, it varies a lot by account and subreddit. Some posts bring traffic but no buyers. Some bring fewer clicks but much better buyers. That’s why I care more about revenue per traffic source than raw visits. Reddit works for me because the intent is higher, not because every post gets massive traffic.

Click to expand...

I built myself an extension that helps me track content I've already used on subreddits, so I don't post the same content on the same and never to the same subreddit.

I also chose to hide my Reddit posts so other users can't see my niche or how much I post in a single day.

Maybe I didn't choose the right subreddits at first, but I've been eliminating them one by one based on their performance. At this point, if a subreddit has at least three of my posts and the average upvotes are only around one, I stop posting there.

Even so, I still can't get many profile visits. That's why I was curious how many visits you're getting. I just can't figure out what the problem is.

I'm adding today a comment replay helper meaybe will get some attention on my posts

Thanks for answers!

lorand said:

I built myself an extension that helps me track content I've already used on subreddits, so I don't post the same content on the same and never to the same subreddit.

I also chose to hide my Reddit posts so other users can't see my niche or how much I post in a single day.

Maybe I didn't choose the right subreddits at first, but I've been eliminating them one by one based on their performance. At this point, if a subreddit has at least three of my posts and the average upvotes are only around one, I stop posting there.

Even so, I still can't get many profile visits. That's why I was curious how many visits you're getting. I just can't figure out what the problem is.

I'm adding today a comment replay helper meaybe will get some attention on my posts

Thanks for answers!

Click to expand...

Yeah, that sounds like you’re tracking the right things, but I’d be careful not to judge subreddits only by upvotes.
Some subs give low upvotes but still bring buyers. Some give good upvotes but zero profile visits or bad traffic. For Reddit I care more about profile visits, clicks, subs, and spend quality than public engagement. Also hiding posts can help keep things cleaner from random users, but it doesn’t fix weak subreddit fit. If the audience isn’t curious enough to click your profile, the post angle or the subreddit intent is usually the issue.
The comment reply helper might help if it makes the account feel more alive, but don’t overdo it. Reddit users smell fake engagement fast. Better to leave a few normal comments that fit the community than spam replies everywhere.

For me, the biggest improvements came from better subreddit fit, better titles/captions, stronger profile setup, and cutting dead subs faster. Sometimes the post itself is okay, but the profile doesn’t make people curious enough to continue.

Haha I think @wizard47 missed the updates, you are way past the startup phase now.

Honestly your focus on filtering is what saved you here @shijin. Most guys get high on raw traffic numbers and then wonder why their chatters are burnt out making zero sales. Reddit traffic has great intent but those guys can also be the most demanding... they will suck up hours of chat time for a 5 dollar tip if you let them.

Are you doing any gatekeeping before they even get to talk to a human? Like a locked message or something to filter out the freeloaders? Keeps the chatters sane and focused on the actual spenders.

reddit will be goldmine in this niche

SignalMint said:

Haha I think @wizard47 missed the updates, you are way past the startup phase now.

Honestly your focus on filtering is what saved you here @shijin. Most guys get high on raw traffic numbers and then wonder why their chatters are burnt out making zero sales. Reddit traffic has great intent but those guys can also be the most demanding... they will suck up hours of chat time for a 5 dollar tip if you let them.

Are you doing any gatekeeping before they even get to talk to a human? Like a locked message or something to filter out the freeloaders? Keeps the chatters sane and focused on the actual spenders.

Click to expand...

Raw traffic can make the dashboard look good, but if it fills the chat with people who just want attention and never spend, it becomes a hidden cost. I do use light filtering before giving too much attention. Nothing too complicated, but I don’t want the chatter spending 30 minutes entertaining someone who clearly has no buying intent. The goal is to qualify interest early and see if the user is actually willing to engage seriously. Locked messages can help, but only if they feel natural. If it feels like a hard paywall too early, some good buyers bounce. I prefer using it more as a soft filter: enough to separate curious buyers from pure freeloaders, without killing the mood too fast.
The biggest thing is teaching the chatter not to chase everyone. Some users are worth warming, some should get a short reply, and some should basically be left alone. Protecting the chatter’s attention is protecting revenue.

yupsumit said:

reddit will be goldmine in this niche

Click to expand...

The buyer intent is much stronger than IG/TikTok in my experience, but Reddit also punishes sloppy posting fast. If you spam, post in the wrong subs, ignore the community vibe, or make the account look like pure promo, it dies quickly.
So yes, huge opportunity there, but it needs patience and clean execution. It’s not just “post everywhere and wait for money.”

Day 205 Update

Another strong day. Revenue keeps moving up, but today was mostly about improving filtering and making sure the chatter is not wasting too much time on users who were never going to buy.

Revenue
• Total: $5,451
• Subscriptions: $1,148
• PPV: $3,454
• Tips: $849

Subscribers
• New subs: 350
• Rebill rate: ~96%

Traffic Sources
• Instagram: ~12%
• Reddit: ~73%
• TikTok: ~10%
• Other: ~5%

Content Posted
• IG Reels: 4
• TikToks: 3
• Reddit posts: 41
• IG Stories: 50

Operations

Chatter handled most conversations. I focused mainly on reviewing low-value chats, checking where too much time is being spent, and improving the early filters before users get too much attention.

Observations

Biggest takeaway today:

Not every user deserves the same amount of energy.

This sounds obvious, but it becomes very important when volume increases.

Some users are worth warming up.

Some users need a quick direct offer.

Some users only want free attention.

And some users will drain time forever if you let them.

The skill is not just selling better.

It is knowing who should even be sold to.

Another thing I noticed:

Filtering protects the chatter as much as it protects revenue.

A tired chatter makes worse decisions.

They reply slower.
They miss buying signals.
They over-explain.
They chase users who are not serious.

So cutting dead conversations faster is not just about saving time. It keeps the whole backend cleaner.

On the monetization side:

PPV continues to grow because the buyer quality is improving.

The goal is no longer just pushing more offers.

It is sending the right offer to the right user at the right time, while ignoring the users who only create noise.

Reddit continues to dominate buyer quality. The traffic is still the strongest in terms of intent, but I am also trying not to get lazy with IG/TikTok because depending too much on one platform is always risky.

Another interesting point:

Strong channels need protection, not abuse.

When a channel works, the natural reaction is to push it harder.

But pushing too hard can ruin the footprint, lower quality, and create problems later.

Reddit is working well because it is being treated carefully, not because it is being blasted without control.

New Focus / Tests

• Improve early user filtering
• Reduce chatter time spent on freeloaders
• Keep Reddit scaling clean
• Continue testing IG/TikTok as backup channels
• Protect high-value buyers from bad handling

The system keeps growing, but the main focus now is clear: better filtering, cleaner attention, and protecting the channels that are actually working.

Day 206 Update

Another strong day. Revenue keeps moving up, but today was mostly about tightening the backend and making sure higher volume does not create weaker decision-making.

Revenue
• Total: $5,563
• Subscriptions: $1,172
• PPV: $3,524
• Tips: $867

Subscribers
• New subs: 357
• Rebill rate: ~96%

Traffic Sources
• Instagram: ~12%
• Reddit: ~73%
• TikTok: ~10%
• Other: ~5%

Content Posted
• IG Reels: 3
• TikToks: 3
• Reddit posts: 42
• IG Stories: 50

Operations

Chatter handled most conversations. I focused mainly on reviewing early filtering, checking where buyers are dropping off, and making sure serious users are getting faster attention than time-wasters.

Observations

Biggest takeaway today:

Speed matters more when the user already has buying intent.

Not every message needs an instant reply.

But when a user is clearly warm, delay becomes expensive.

Some users are just browsing.
Some users are wasting time.
But some users are ready now.

Those ready-now users need to be spotted faster.

Another thing I noticed:

Filtering is only useful if it does not slow down good buyers.

This is the balance I am working on now.

If filtering is too loose, chatter wastes time on freeloaders.

If filtering is too strict, good buyers can get blocked or ignored too early.

The goal is not to make the system cold.

The goal is to protect attention without killing momentum.

On the monetization side:

PPV is still the main growth driver, but timing is becoming more precise.

The offer itself matters, but the moment matters more.

A decent offer sent at the right time can outperform a better offer sent too late or too aggressively.

Reddit continues to dominate buyer quality. The intent is still much stronger than other channels, but I am trying to keep the posting footprint clean and not abuse the channel just because it is working.

Another interesting point:

The backend is becoming more important than the front-end every day.

Traffic creates opportunity.

But backend execution decides how much of that opportunity turns into money.

Bad filtering, slow replies, weak notes, or poor timing can waste traffic that was actually good.

New Focus / Tests

• Identify ready-to-buy users faster
• Improve early filtering without blocking good buyers
• Reduce delays on high-intent conversations
• Keep Reddit scaling controlled
• Continue improving repeat buyer timing

The system keeps growing, but the next level is clearly about faster recognition, cleaner filtering, and better handling of users who are already close to buying.

Day 207 Update

Another strong day. Revenue keeps climbing, but today was mostly about improving how fast the system can recognize buyer intent without making the whole flow feel too mechanical.

Revenue
• Total: $5,678
• Subscriptions: $1,197
• PPV: $3,597
• Tips: $884

Subscribers
• New subs: 364
• Rebill rate: ~96%

Traffic Sources
• Instagram: ~12%
• Reddit: ~73%
• TikTok: ~10%
• Other: ~5%

Content Posted
• IG Reels: 4
• TikToks: 2
• Reddit posts: 42
• IG Stories: 51

Operations

Chatter handled most conversations. I focused mainly on reviewing high-intent users, checking response speed, and looking at where the chatter is either moving too slowly or giving too much attention to users who are not serious.

Observations

Biggest takeaway today:

Intent has to be recognized early, not after 30 messages.

This is becoming more important every day.

Some users show buying intent quickly.

They ask direct questions.
They open paid messages.
They come back after previous offers.
They react to specific content.
They do not need endless warming.

If the chatter treats these users like cold leads, money gets left on the table.

Another thing I noticed:

Low-intent users create fake workload.

They make the day feel busy, but they do not move the numbers.

This is dangerous because a busy chatter can feel productive while actually spending most of the time on users who will never buy.

The goal now is cleaner attention.

Not more replies.

Better replies.

On the monetization side:

PPV continues to grow because the timing is getting sharper.

The biggest improvement is not just sending more offers.

It is understanding when the user is actually ready and not interrupting the natural flow too early.

Reddit continues to dominate buyer quality. The users coming from Reddit still show stronger intent, but I am trying to keep the channel controlled and not turn it into messy volume chasing.

Another interesting point:

Good systems should make the chatter faster, not robotic.

That is the balance I am trying to build.

Rules are useful.
Notes are useful.
Filtering is useful.

But if the conversation starts sounding like a script, buyer trust drops.

The system should guide the chatter, not replace judgment completely.

New Focus / Tests

• Recognize high-intent users earlier
• Reduce fake workload from low-value chats
• Improve response speed for warm users
• Keep buyer notes short and practical
• Continue scaling Reddit without getting sloppy

The system keeps growing, but the next level is not just more traffic or more messages. It is better judgment at higher speed.

Will keep following this journey