What should an agency charge clients for GoHighLevel?

Every version of this question gets answered with a number someone found in a Facebook group. The number is useless without the cost structure underneath it, so start there instead.

First, know what the platform costs you

You cannot price a margin you have not calculated. HighLevel’s plan tiers and what each includes are published on HighLevel’s pricing page, read it rather than relying on a figure someone quoted in 2024, because the tiers and what sits behind them have moved.

The subscription is only part of it. Usage, SMS segments, call minutes, email volume, AI features, bills separately and scales with how well the system works. A client whose reactivation campaign performs generates more usage cost than one whose campaign flops. Budget it as a variable, not a rounding error.

Model 1, the one-off build fee

You scope a build, quote it, deliver it, hand it over. The client owns the account and pays HighLevel directly.

Works when the client is technically capable, or has someone who is. Fails when they cannot maintain it, which is most of the time. Six months later the workflows have been edited by someone who did not understand the exit conditions, and you get blamed for a system you no longer control.

The honest version of this model includes documentation and a handover session, and prices them in rather than treating them as goodwill.

Model 2, build plus monthly retainer

A setup fee, then a monthly fee covering the platform sub-account, ongoing changes and support.

This is the model most agencies land on, for a reason: the recurring revenue is what makes the business valuable, and the client genuinely needs someone maintaining the thing. Automation is not a deliverable you hand over, carriers change registration requirements, integrations deprecate endpoints, the client’s offer changes and the workflows have to follow.

The trap is quoting the retainer against your cost of hosting the sub-account rather than your cost of serving the client. Support requests are the variable. A client who messages twice a month and one who messages twice a day cost very different amounts to keep.

Model 3, SaaS mode resale

You run HighLevel in SaaS mode, create sub-accounts under your own branding, set your own price and rebill. The client buys “your” software.

Highest margin and highest operational load. You are now a software company: you own onboarding, support, billing failures and churn. Agencies underestimate the support half, which is why a white-label support desk usually appears shortly after SaaS mode does.

It also changes the pricing question entirely. You are no longer pricing a project. You are pricing a subscription against competitors your client can compare you to.

The way to actually set the number

Three inputs, in this order:

1. Your delivery cost. Hours to build, plus expected monthly support hours, plus platform and usage. If you do not track this, every other step is guessing.
2. The revenue at stake for the client. A system that recovers missed leads for a business with a £4,000 average deal is worth more than the identical system for one with a £200 deal. The build effort barely differs. The price should.
3. What the alternative costs them. Usually a part-time hire or a stack of separate tools.

Notice that a competitor’s published rate is not on the list. It is a data point about their cost structure and positioning, not evidence about yours.

Why response speed belongs in the pricing conversation

The value argument for most GoHighLevel builds rests on lead response, and there is real research to point at rather than assertions. Harvard Business Review’s study of online sales leads found firms responding within an hour were dramatically more likely to qualify a lead than those responding later.

That is the mechanism you are selling. Pricing it as “CRM setup” undersells it to a number, because CRM setup sounds like configuration and the outcome is recovered revenue.

One thing worth deciding early

Whether you publish rates at all. Publishing wins the cost-intent search and filters out tyre-kickers. Not publishing lets you price to value per client. Both are defensible; drifting between them is not.