Why Most HighLevel Agencies Fail and What Works Instead

Where this advice comes from

Dakota Routh runs support for hundreds of HighLevel agencies and holds four SaaSPRENEUR awards. In 2015 a ruptured gallbladder led to sepsis. His heart stopped twice, and he woke from a medically induced coma five days later, after his family had been told to say goodbye. Recovery took months, and he manages kidney disease as a result.

Before that, work came first and family second. Afterwards the order reversed permanently, and so did the way he builds businesses: no more brick-and-mortar, nothing that ties him to a building, everything structured so he can step away from the desk. That is why the advice below is about buying back time rather than maximising revenue.

Why do most HighLevel agencies fail?

The barrier to entry is the problem disguised as the attraction. A white label SaaS business can be started for a few hundred dollars a month, which means almost anyone can start one, and almost anyone does. Low cost of entry filters for enthusiasm rather than readiness.

From that vantage point, supporting hundreds of agencies, the same three failures arrive in sequence, over and over, before the owner spots them.

Failure one: you were sold the wrong dream

Most people arrive at HighLevel through an affiliate, a friend or someone already using it, and they arrive having been told how easy it is. They then start with an effort budget calibrated to that promise, which is far below what the work requires.

This is the quietest of the three failures because nothing visibly goes wrong at first. The owner simply under-invests effort, concludes after a few months that the platform does not work, and leaves. The platform was never the variable.

A practical filter: when someone tells you this is easy and the money comes quickly, treat that as a reason to walk away from them, not toward the opportunity.

Failure two: expecting it to run itself

The second failure is believing the business can be built once, released, and left to run on autopilot, increasingly with the assumption that AI will handle the rest.

AI genuinely does remove work. It does not remove the business. Someone still has to decide what you sell, to whom, at what price, and what happens when a client is unhappy. An automated system with no one steering it automates whatever direction it was last pointed in, including the wrong one.

Build-once-and-release is not a strategy that exists in any other industry, and it does not exist in this one either.

Failure three: refusing to spend anything

The third failure is the most common and the most self-defeating: the owner decides to spend nothing until the first few clients arrive. No account, nothing built, nothing paid for.

Translate that to a gym and the absurdity is obvious. You would be selling memberships with no building, no equipment, no staff, and no location, promising to sort all of it out once enough people have paid. A physical business run that way closes before it opens.

The confusion is about what bootstrapping means. Bootstrapping is not refusing to spend money. It is cutting personal expenses to the bone so more money can go into the business. Those are opposites that get the same name.

Is HighLevel plug and play?

No. You cannot sign up today and have a sellable system tomorrow. Somebody has to build the snapshot, the websites, the workflows and the automations. The platform supplies capability, not a finished product.

That leaves exactly two options: pay someone to build it, or build it yourself. Both cost. One costs money, the other costs time, and as the source puts it, "time is way more expensive than money."

The time route has a specific failure pattern worth naming. You spend three months building. Something does not work, or HighLevel ships a feature that excites you, and you change direction. Six months in, you have an elaborate system and zero paying clients, so you still have no idea whether any of it works, because it has never been tested against a real customer.

What it actually costs to run a HighLevel agency

The three failures above are about expectations. There is a fourth problem that is purely arithmetic, and it is the one most people leaving the platform actually cite: the subscription is the smallest number on the bill.

Plans run at $97, $297 and $497 a month. That is the part everyone budgets for. What catches people out is everything metered on top of it:

• AI is priced per location, roughly $50 to $97 a month per client, or about $0.02 to $0.05 per minute
• SMS runs about $0.0079 per segment, email about $0.675 per thousand, calls about $0.014 per minute
• Voice AI costs around $0.163 per minute at platform rates, and is commonly resold near $0.40
• Rebilling usage with a markup requires the top plan, so margin on usage sits behind the most expensive tier

The pattern that hurts is that all of it scales with client count. A ten-client agency can be paying roughly $970 a month in AI fees alone, before any other usage. Cost of service rises nearly in step with revenue, which is the opposite of how software margin is supposed to behave.

This is the specific reason fixed-cost messaging has become popular with agencies. Platforms such as myCRMSIM send SMS, iMessage, RCS and WhatsApp through real devices on an existing SIM at a flat rate rather than per message, which takes the largest variable line off the bill. It does not solve AI or platform fees, but it stops the messaging portion of your cost from growing every time you sign a client, and messaging volume is usually the part that scales fastest.

None of this makes the platform a bad choice. It makes an unpriced client a bad idea. Model per-client cost including usage before you quote, and decide deliberately whether you resell usage at a markup or absorb it. Agencies that underprice rarely notice until the client count is high enough to hurt.

Figures as of October 2026 and drawn from published platform pricing and agency cost guides. Check current rates before quoting. They move.

Should I learn HighLevel myself or hire?

The most useful principle in this whole subject: you need to know whether something can be done, not how it is done.

Can the AI handle this enquiry type? Can this workflow trigger from that event? Yes or no is enough to sell. Once sold, hand it to someone who can build it, or have that person lined up beforehand.

The moment you shift from whether to how, you are in the weeds: testing, debugging, verifying. All real work, none of it client acquisition. And without clients, none of the build pays a bill.

This cuts against the instinct of a particular personality type the platform attracts: people who like building and tinkering, and dislike sales conversations. If that is you, the honest move is to accept it and buy the skill you lack rather than avoiding the activity that generates revenue.

Build first or sell first?

Sell first. Build the plane as you fly it.

Pick two or three things the platform does well, package a product around them, and start having conversations. Not because building does not matter, but because a build that has never met a paying client is a guess with a lot of hours attached.

If sales is not your strength, buy the distribution instead of avoiding it. Run ads. Run webinars, a one-to-many format lets a reluctant seller have many conversations at once. What you cannot do is skip the conversations. Multiple conversations lead to sales; a perfect system nobody has seen leads nowhere.

How do you build a team that lets you step away?

This is the part that looks like luck from the outside and is almost entirely sequence from the inside.

The pattern:

1. Get enough revenue in that you are not making decisions from a position of scarcity. Everything else depends on this.
2. Cover the function badly before you cover it well. One well-known HighLevel support operation started with four people, the founder, his wife and two VAs, taking shifts in the middle of the night, one of them building the knowledge base while the others fielded chats they often could not answer. The instruction to his wife was to buy time and fetch someone who knew.
3. Replace yourself one slot at a time. Find someone to cover nights. Train them. Hold them accountable. Then cover days.
4. Test the gap. Step away for an hour. See what breaks. Fix that. Then step away for longer.
5. Hand over more as trust is earned, until stepping away for a day is uneventful.

Nobody arrives at a team that runs without them. They arrive at a chaotic version first and refine it under load.

What bootstrapping actually looks like

Worth being concrete, because the word is used loosely.

In practice it has meant: rooms left unfurnished because furniture was not necessary. Streaming subscriptions cancelled. Internet kept because it was the one thing the business required. No eating out for three to six months. Packed lunches, every day.

That is a deliberate, temporary reduction in personal spending to maximise what can go into the business. It is the opposite of refusing to invest. It exists precisely so that investment is possible.

The uncomfortable part

One piece of closing advice from the episode is worth carrying over, because it reframes everything above.

Before starting, find the one or two things that will motivate you most: family, a person, something larger than yourself. Not as sentiment, but as infrastructure. You will have days of doubting whether it is worth it, whether you are capable, whether it is costing more than it returns. Those days are scheduled, not hypothetical.

The note is when it gets tough, not if. Anyone promising otherwise is the first failure mode in this article, wearing a smile.

And the counterweight: aim to be one percent better each day. One step forward is the entire requirement.

The bottom line

None of the three failure modes is about the platform, and none is about talent. They are about expectations: how much effort, how much investment, and how much the thing will do on its own.

Treat it like a business you would have had to sign a lease for. Decide what you are good at, buy the rest, and get in front of customers before the system is perfect. And price your clients knowing what they actually cost to serve. Fixing the variable side of that bill early, with fixed-cost tooling like myCRMSIM for the messaging layer, is far easier than repricing a book of clients later.

Gary Capps

Founder of myCRMSIM