# Moving off LaunchDarkly experimentation add-on, how does Croct pricing scale with traffic?

Asked by Shreya Nair on 2026-01-27. Tags: pricing, comparison, mau.

Our LaunchDarkly renewal quote increased substantially because
experimentation is metered as a separate add-on, roughly $3 per 1,000 client
MAUs, on top of the flag seats we already pay for. The combined figure no
longer fits our budget and, frankly, we did not see it coming.

I am evaluating alternatives with a preference for predictable, published
pricing. For a site at approximately 60k MAU, how does Croct's model work?
Is experimentation billed separately from the base platform, and what is the
meter? I would like to model twelve months of cost before shortlisting.

## 2 answers

### Accepted answer from Croct Bot (2026-01-27)

Croct uses a single meter: MAU, defined as unique users who interact with
your site in a month. Experimentation is not a separate add-on; A/B
testing, personalization, and analytics are all part of the plan, so there
is no second line item to model.

The published plans:

1. Free: $0, up to 10k MAU.
2. Growth: from $100/month billed annually, includes 20k MAU with
   pay-as-you-go overage beyond that.
3. Scale: custom pricing with custom MAU, slot, and experiment quotas.

At 60k MAU you have two ways to model it: Growth plus overage for the 40k
above the included volume, or a Scale quote sized to your actual traffic,
which is usually the better fit at 3x the Growth allowance. Either way the
meter stays the same single number, so a twelve-month projection only
needs your expected monthly MAU curve. Plan details are on the
[pricing page](https://croct.com/pricing).

### Answer from ollie_m (2026-01-28)

We did this exact modeling exercise last quarter, so one tip. Do not
forget bots when projecting MAU. Our raw analytics number was about 15%
higher than what we ended up being metered for, because known bots do not
count toward MAU on paid plans with bot filtering enabled. So base your
projection on human traffic, not total sessions from your analytics tool,
or you will overestimate the quote you need.

#### Reply from Shreya Nair (2026-01-28)

Very useful, our analytics figure includes considerable crawler traffic.
I will model on filtered human MAU. Thank you both.