Expansion revenue

Q: What counts as expansion revenue?

Any additional recurring revenue from a customer you already have: moving them to a higher tier, selling an add-on product, adding seats, or higher usage on a usage-based plan. It excludes revenue from brand-new customers, which is new-business revenue, and it's the opposite of contraction or churn.

Q: What is a good level of expansion revenue?

A common benchmark is the share of new MRR that comes from expansion: the best SaaS companies get 30% or more of their new monthly recurring revenue from existing customers rather than new logos. Strong expansion is what pushes net revenue retention above 100%.

Q: Why is expansion revenue so valuable?

It's the cheapest growth you can buy — there's no acquisition cost to win a customer you already have, so expansion revenue carries far better unit economics than new business. It also compounds: a base that grows on its own can outpace a base you have to keep refilling against churn.

The extra recurring revenue you earn from customers you already have — upsells, cross-sells, more seats, more usage. The cheapest, most efficient growth there is.

In plain English

Not all growth comes from new customers. Expansion revenue is the additional recurring revenue your existing customers start paying you over time — because they upgraded to a bigger plan, bought an add-on, added more seats, or simply used more of a usage-based product. It costs almost nothing to capture: there's no ad spend, no sales cycle to win a logo you already own. That's why investors love it. A business where customers spend more each year grows on top of itself, while one that relies only on new logos has to keep running just to stay in place against churn.

The formula

Expansion MRR = additional recurring revenue from existing customers (upsells, cross-sells, added seats, usage) in a period

It counts only the increase from customers you already had at the start of the period — brand-new customers are new business, and any decreases are contraction or churn, tracked separately.

A worked example

This month, 30 existing accounts upgrade their plan, each adding €500 per month in recurring revenue.

Expansion MRR = 30 accounts × €500 = €15,000 / month

That's €15,000 of new recurring revenue with zero acquisition cost. If you also signed €35,000 of new-business MRR that month, expansion made up €15,000 of your €50,000 total new MRR — a healthy 30% share.

What's a good level of expansion revenue?

The usual lens is expansion as a share of total new MRR:

Expansion share of new MRR	Verdict	What it signals
≥ 30%	Strong	Best-in-class; drives NRR > 100%
15–30%	Decent	Expansion motion is working
< 15%	Weak	Growth leans entirely on new logos

The best SaaS companies get 30% or more of their new MRR from expansion, which is what lifts net revenue retention above 100% — the point at which your customer base grows even if you stop acquiring entirely.

Frequently asked questions

What counts as expansion revenue?

Any additional recurring revenue from a customer you already have: moving them to a higher tier, selling an add-on product, adding seats, or higher usage on a usage-based plan. It excludes revenue from brand-new customers, which is new-business revenue, and it's the opposite of contraction or churn.

What is a good level of expansion revenue?

A common benchmark is the share of new MRR that comes from expansion: the best SaaS companies get 30% or more of their new monthly recurring revenue from existing customers rather than new logos. Strong expansion is what pushes net revenue retention above 100%.

Why is expansion revenue so valuable?

It's the cheapest growth you can buy — there's no acquisition cost to win a customer you already have, so expansion revenue carries far better unit economics than new business. It also compounds: a base that grows on its own can outpace a base you have to keep refilling against churn.

Net revenue retention · ARPU / ARPA · MRR · Revenue churn

Learn more

The complete guide to value-based bidding · Value-based bidding without a data team