SaaS: pricing and retention

In SaaS, revenue growth isn’t just about new sales: Activation, retention, account expansion, and customer losses all work together. Therefore, the decision about the price or new feature should be checked on the entire subscription model – from time to first value to gross retention and maintenance cost.

SaaS Basics: Pricing and Retention

What is a SaaS model?

SaaS (Software-as-a-Service) is a model of working with an IT product, when the client pays for access to the service by subscription. The main features here are regular payments, different tariff plans and the need to keep the customer as long as possible.

Why pricing and retention are important

In SaaS, most of the revenue comes from not selling access, but withholding and repayments. If you have high churn and low customer attachment, no cool funnel can save you from a tough economy. On the other hand, a competent pricing policy will help to increase LTV (Lifetime Value).

** Case:** In practice, projects with the same revenue at start-up in a year’s time can vary greatly in margins and survival rates just because of the difference in churn and ARPU. Dropbox was able to grow primarily due to a strong focus on retention: paid features and a clear upgrade were introduced in time.

Case 1: Transition from Freemium to Paid Tariff Pipeline

Freemium: Advantages and Risks

Freemium-strategy is to give an independent basic value for free, and for an expanded scenario to take money. Conversion depends on the audience, the moment of value and the tariff boundary; a large pool of free users does not create revenue on their own and can significantly increase the cost of service.

** Example:**
If a free plan closes the entire sustainable scenario, the user has no reason to switch to a paid one. The team can check the boundary by number of devices, amount of collaboration or automation, but it must monitor more than just pay: too tight a cap will worsen activation, trust and organic distribution.

How to properly cut free opportunities

It is important not just to take some of the functions, but to honestly explain what is now paid for and why it is valuable. The error marker is a mass outflow other than upgarde growth.

Conclusion:
Freemium does not work unless there is a clear upgrade value or if the free product already closes most scenarios.

Case 2: Modular pricing (pay-per-feature)

When to pay for individual features

For B2B SaaS (e.g. Notion, Confluence, Zapier) the more flexible model is the payment for the desired options. This way, customers don’t feel overpaid.

** Example:**
Notion works with graduated tariffs: the core is given to everyone, and advanced integrations, administration, APIs and automation are included in corporate plans.

How to avoid price confusion

The main mistake is to complicate the gradations so that they confuse both sales and the client. The recommendation is a maximum of 3-4 tariffs, the logic of the upgrade is obvious, the difference in functions is transparently indicated on the landing page.

Case 3: Value-based pricing

Why simple user fees don’t always work

If your SaaS helps you earn or save money (such as product analytics or BI), it makes sense to take a percentage of your revenue/savings or the number of events processed.

** Example:**
For an analytical platform, the charging metric can be the number of active users, the volume of events or the set of available features. Each option has different incentives: event fees rise with usage, but can cause the customer to save on data; seat fees are clearer but less reflect the value of automated scripts.

How to implement value-based pricing

Start with pilot customers – check what real value they are getting, and tie the rate to those metrics. It is important not to complicate the calculation too much: if the client does not understand what he pays for, he will go to the competitor.

Reducing outflows: practical measures

Metrics that need to be tracked

The most important is the churn rate, retention rate, and the real reason for unsubscribing. Remember to calculate LTV (lifetime value) and compare it to CAC (cost of attraction).

** Example:**
Dropbox increased customer retention after entering automatic reminders, file content, and working through the first 7 days of experience. The emphasis is on value onboarding: the user immediately sees why he paid plan.

How to Really Keep a Client

1. Personal Autocommunications for a Few Weeks
2. Improvement of onboarding and training functionality
3. Tactile nudges - tips and priority of the upgrade button
4. Analysis of the reasons for leaving (survey upon unsubscribe), quick restart of work with a dissatisfied client

** Mistake: Trying to keep the price of discounts all in a row. In practice, it is better to choose segments with maximum LTV and optimize for them.

What metrics and benchmarks to use

Compare churn only when the same definition is given: logo or revenue churn, month or year, voluntary or payment outflow, one segment, and product stage. Cohorts’ own dynamics and reasons for leaving are usually more useful than the average industry number.

Appropriate analysis of benchmarks from OpenView SaaS Benchmarks.

Mistakes in pricing and retention

Different approaches are needed for different stages

At the start, it is too early to make difficult tariffs. The first step is a simple ruler, validate your willingness to pay.

Anti-patterns:

• Do not tell the difference between tariffs
• Change the price too often (especially without justification or value)
• Do not collect metrics of reasons for leaving or test return hypotheses
• Cut freemium if retention is bad

FAQ

**What is the difference between freemium and free trial? Freemium gives some of the functions for free forever, the trial period – all the functionality for a limited time.

Why do SaaS more often make tariffs on the user, rather than fixing on features? This is easier for predictable calculations, but in the corporate segment, metrics are often combined.

**What kind of churn is allowed at an early stage? The alarming signal is a steady deterioration of churn in comparable cohorts or an economy in which the customer leaves before the payback of the attraction. First, check the data and localize the segment, then analyze the reasons.

*Do you need to pay for a subscription extension? Discounts will help in the short term, but often reduce the quality of the audience. Better to work with value.

Can SaaS be built on a freemium model? Rarely, only if there’s a high-frequency scenario and a high paid value.

What are the key questions to ask the outgoing customer? Why he left, what didn’t suit him, how to improve the product he uses instead of you.

SEO description

A simple and specific cheat sheet on pricing and customer retention for SaaS: key tariff schemes, case studies Dropbox, Evernote, Notion and Amplitude, examples of errors and effective solutions, current retention and churn metrics, answers to practical questions.