Today, we’re introducing first day free—a major improvement to our billing model that makes Liveblocks more fair, predictable, and scalable for products at any stage of growth.
Starting next month, we’re rolling out a major improvement to our pricing that
makes it easier and more predictable to scale real-time collaboration in your
product: you now only pay for users who return after their first session.
From May 1st, all Liveblocks customers will automatically benefit from this
change—no setup or migration is required.
When people collaborate, they naturally invite others into your ecosystem,
bringing new customers who are more likely to return. These collaborative
networks create meaningful connections that transform visitors into loyal,
recurring users—precisely the kind of sustainable growth our pricing model
should encourage and reward.
However, one of the most common pain points we’ve heard from teams is the
frustration of being billed for one-time visitors—users who sign-in once,
never return, yet still count toward your monthly active user (MAU) total. This
sort of churn is particularly common in modern AI products and makes it
difficult to accurately predict your usage and plan ahead.
To make billing fairer and more reflective of real engagement, one-time visitors
shouldn’t count as active users.
Starting next month, a user will now only count toward your billed MAU if they
return on a different calendar day from their first session. If someone tries
your product and doesn’t come back the next day or later, you won’t be
charged—their first day was free.
This simple change gives you more flexibility to onboard users, experiment with
growth, and launch publicly, without worrying about inflated bills from
short-lived traffic spikes.
Whether you’re testing a new idea or scaling to millions of users, Liveblocks’
new billing model helps you grow more sustainably. Confidently invite users to
collaborate, run onboarding campaigns, and launch publicly—knowing that you’re
only paying for people who come back and find value in your product.