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What is a SaaS Downgrade?
  1. Glossary/

What is a SaaS Downgrade?

5 mins·
Ben Schmidt
Author
I am going to help you build the impossible.

Building a startup involves tracking a lot of moving parts.

You likely spend a lot of time looking at your dashboard and watching the revenue numbers move.

One of the most common events you will see is a downgrade.

In the context of a Software as a Service or SaaS company, a downgrade happens when a customer moves from a higher priced subscription tier to a lower priced one.

This is a specific type of revenue event that changes your financial outlook without necessarily removing the customer from your ecosystem.

It is an essential concept to grasp because it tells a story about your product value and your pricing strategy.

Defining the Downgrade in a Startup Context

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When we talk about a downgrade, we are specifically looking at the impact on your Monthly Recurring Revenue or MRR.

If a customer pays fifty dollars a month and moves to a plan that costs twenty dollars a month, your business has experienced a thirty dollar downgrade.

In accounting and growth metrics, this is often referred to as contraction MRR.

It is the opposite of expansion revenue, which occurs when a customer moves to a more expensive tier.

Downgrades are unique because the customer relationship remains intact.

You still have the user, you still have their data, and you still have the opportunity to serve them.

However, the financial contribution they make to your bottom line has decreased.

Founders often overlook the nuance of this event because it feels less painful than losing a customer entirely.

But if you ignore the reasons behind the move, you might be missing critical data about your product market fit.

A downgrade is a clear signal that the value provided at the higher tier did not justify the cost for that specific user at that specific time.

The Mechanics of Contraction Revenue

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To understand a downgrade, you have to look at your pricing tiers through the lens of your customers.

Most startups structure their pricing based on features, usage limits, or the number of seats.

A downgrade occurs when a customer realizes they are not using the features in the premium tier.

Perhaps they have a smaller team than they anticipated and do not need the extra seats.

Or maybe their own business is struggling and they are looking for ways to cut costs without losing essential tools.

From a data perspective, you should track downgrades separately from churn.

If you group them together, you lose the ability to see which parts of your product are underperforming.

High downgrade rates in a specific tier suggest that the gap between that tier and the one below it is either too wide or not valuable enough.

It is helpful to view this with a scientific mindset.

Each downgrade is a data point in an ongoing experiment regarding your unit economics.

Comparing Downgrades and Churn

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It is common for new founders to confuse a downgrade with churn.

Churn is when a customer cancels their subscription and stops paying you entirely.

Churn is a total loss of the customer relationship.

A downgrade is a reduction in revenue but a retention of the relationship.

Think of churn as a permanent exit.

Think of a downgrade as a shift in the terms of the engagement.

While both negatively impact your Net Revenue Retention, they require different responses from your team.

If a customer churns, you need to find out why they left the platform.

If a customer downgrades, you need to find out why they stayed but opted for less.

There is a strategic advantage to a downgrade over churn.

A downgraded customer is much easier to move back up to a higher tier later than it is to reacquire a churned customer.

The cost of acquisition has already been paid.

Your goal with a downgraded customer is to maintain the relationship until their needs or budget change.

Scenarios Where Downgrades Occur

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There are several common scenarios in a startup lifecycle where you will see these movements.

One scenario involves the seasonal nature of certain businesses.

A retail business might need a high tier during the holidays for extra support and then downgrade in the spring.

Another scenario is the feature audit.

As businesses mature, they often look at their software spend and realize they are paying for capabilities they never touch.

You might also see downgrades during economic downturns.

When capital is tight, customers look for the minimum viable version of your product that still gets the job done.

In some cases, a downgrade is actually a sign of a healthy pricing strategy.

If you have a clear path for customers to scale down when they need to, they are less likely to cancel the service entirely.

This flexibility can build long term loyalty even if it hurts your MRR in the short term.

Questions for Further Consideration

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While we can define what a downgrade is, there are several things we still do not fully understand about the long term impact.

How many downgrades are a precursor to eventual churn?

We do not always know if a customer moves to a lower tier as a final stop before leaving.

Is there a specific timeframe where a downgraded customer is most likely to upgrade again?

We also have to consider the operational cost of a downgraded customer.

If they pay less but still require the same amount of technical support, does their lifetime value drop below the cost to serve them?

These are questions you should ask as you look at your own user base.

Every startup will have a different threshold for what constitutes a dangerous level of contraction.

By documenting these shifts and looking for patterns, you can make better decisions about where to invest your development efforts.

Do not view a downgrade as a failure.

View it as a request from your customer to find a better balance between cost and value.

It is an opportunity to learn about the actual utility of your product in the real world.

Use this information to refine your tiers and ensure that each level of your pricing provides a solid return on investment for the user.

Building something that lasts requires an honest look at how revenue flows in both directions.

Keep building and keep analyzing the data as it comes in.