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SaaS pricing: how to build a pricing page that converts

Copy for AI

Your SaaS pricing page is a conversion page, not an administrative table.

How you structure plans, which free trial you offer and which button you show all decide whether a B2B visitor buys or leaves.

The verdict: there’s no sacred number of plans and no universal pricing model. But a handful of patterns work at proven software companies, and you can test each one.

Those patterns are simple: tie plans to a metric the customer recognises, use free trials smartly and offer more than one way to convert.

This guide is written for Belgian B2B and software companies, not for webshops.

Work it out yourself: calculate the lifetime value of a customer with our free LTV calculator before you lock in your prices.

Why is your pricing page actually a conversion page?

Because it’s the page where doubt runs highest, right before the decision.

Most companies treat it as an afterthought: fill in the prices, make a table, done.

But for a SaaS or B2B company, every ambiguity on that page costs you a customer.

Treat it like your best landing page

Your pricing page deserves the same care as your best landing page.

It isn’t only about how much you charge. It’s about how you present the choice:

  • Plans: how many, and which one you highlight
  • Trial: how long, and on which plans
  • Buttons: which call to action sits under each plan
  • Proof: what reassures the buyer at the moment of doubt

One by one, those are conversion decisions, not pricing decisions.

Our checklist for pricing page optimization goes through each element in detail.

The market punishes a neglected page

The SaaS market is large and competitive.

According to figures from the Gartner Group, global SaaS revenue was already estimated at some 22 billion dollars before 2015. That was a rise of 52% compared to 2012.

In a market like that, a neglected pricing page leaves revenue to the competitor who gets it right.

How to work on this systematically is covered in our approach to conversion rate optimization.

How many plans should you show?

It depends on your product and your audience: there’s no magic number.

What does help is looking at how proven software companies handle it.

Salesforce: test the structure

Salesforce long split its offering into several categories, each plan with a clear role and set of capabilities.

The company didn’t leave that to gut feeling. It treated the number of plans and their structure as something to test, not a given.

That’s exactly the right reflex. The number of plans is a hypothesis you validate, not something you copy.

HubSpot and Basecamp: fewer, clearer options

Other companies went the opposite way.

HubSpot deliberately broke with the common five-plan pattern at the time and showed only three. Each plan got a short description, plus the option to compare packages in detail.

Fewer options, less choice stress.

Basecamp did something similar. It consolidated all features into a single list instead of the classic column-based comparison table.

Why fewer options can convert better

There’s a known UX principle behind this. Hick’s law says “the time it takes to make a decision increases with the number and complexity of choices” (Laws of UX on Hick’s law).

The same page advises highlighting recommended options so users aren’t overwhelmed. That’s the “most popular” badge on so many pricing pages.

Watch out: more plans isn’t automatically better, but neither is fewer.

Too many options paralyse the visitor. Too few leave revenue on the table with customers who’d happily pay more.

Plan structures change over time

Basecamp is a good example of that. Its pricing page today shows five plans, from a free one-project plan to Pro Unlimited at $199 a month billed annually (Basecamp pricing, checked 21 October 2026).

So even a company famous for one simple option kept testing its structure.

HubSpot works out step by step how to price a SaaS product and structure it into plans. It calls tiered pricing “likely one of the most popular SaaS pricing models out there”.

You don’t find the right number by copying a competitor. You find it by testing what works with your audience.

If you want to set up such a test correctly, read how A/B testing works and how long to run an A/B test.

Which SaaS pricing model fits your product?

The model decides what the customer pays for, so pick it before you design the page.

HubSpot’s guide lists five common pricing models. Here they are side by side:

ModelThe customer pays forWorks best when
Usagewhat they consumevalue grows with volume
User-counteach seatvalue grows with team size
Tiereda package of featuressegments need clearly different things
Flat-rateone price for everythingthe product is simple
Per-featureeach feature they addbuyers want to build their own bundle

Most B2B SaaS companies end up with tiers on top of one of the other axes.

For example, say you sell a planning tool to construction firms. Tiers per number of sites would read more naturally to that buyer than tiers per feature.

Rule of thumb: choose the model that matches how your customer’s value grows.

Which metric should you base the difference between plans on?

On one metric the customer recognises, so they see straight away which plan is theirs.

The worst thing you can do is separate plans only by a list of features nobody can place.

Four companies, four metrics

Look at how different companies fill that in:

  • Team size: time-tracking product Freckle based its middle plans on team members, not roles.
  • Visitors: A/B testing tool Visual Website Optimizer segmented its plans on visitors tested per month.
  • Projects and storage: Basecamp showed two metrics and put every other feature in each plan.
  • Users: Evernote ran a freemium ladder with the business plan priced per user.

At Freckle, the price itself was presented neutrally, while the real distinction (how many people) took centre stage. Team size immediately validated the price difference.

At Visual Website Optimizer, a prospect saw at once where they landed on that scale.

At Basecamp, there was one clear axis to choose on, instead of a maze of checkmarks.

At Evernote, the price grew with the customer.

Here’s the same idea as one picture:

ONE METRIC PER PLAN What the plans were built around Freckle team size Visual Website Optimizer visitors tested per month Basecamp projects and storage Evernote (business plan) users Examples mentioned in this article. One axis the buyer recognises beats a feature maze.

A current example of a metric-based ladder

You’ll still see this pattern on pricing pages today. Look at how the plans scale with one number, the brands you track:

Trakkr SaaS pricing page in USD, billed monthly: Growth $100 a month for one brand, Scale $500 a month for ten brands, Enterprise from $1,000 a month billed annually, an example of plans anchored to one metric Trakkr’s pricing page, US settings, billed monthly, 18 October 2026. Each plan is anchored to the number of brands.

The buyer doesn’t need to compare twenty features. They count their brands and know their plan.

Pick the metric closest to the value

The pattern is the same every time. Choose the metric closest to the value the customer gets, and build your plans around it.

That’s far more convincing than justifying a price with a long feature list.

It helps to know who that customer is. That’s where your buyer persona comes in: without a sharp picture of your ideal customer, you pick the wrong metric.

A clear value proposition helps you name that value in the buyer’s words.

How do you use free trials and demos as a conversion lever?

Treat the free trial as a sales channel, not a giveaway.

The prospect experiences the value themselves instead of taking your copy on faith. But there’s strategy in how, and how long, you offer it.

Longer trials for heavier plans

Salesforce, for example, offered a free trial on every plan.

It ranged from 7 days for the entry tiers to 30 days for the heavier Enterprise and Unlimited plans. The bigger the investment, the more time the customer got to convince themselves.

Basecamp’s 60-day bet

The most powerful example comes from Basecamp. It extended its free trial from 45 to 60 days, roughly double what many competitors offered.

The reasoning: the longer someone uses the product, the more dependent on it they become. And the greater the chance the trial turns into a paying customer.

So a longer trial isn’t a cost. It’s an investment in conversion.

Put those trial periods side by side and the pattern shows:

LENGTH OF FREE TRIAL PERIOD The heavier the plan, the longer the trial Salesforce entry 7 days Salesforce top 30 days Basecamp (before) 45 days Basecamp (after) 60 days Figures from the examples mentioned in this article
Trial periods vary widely; a longer trial is an investment in conversion.

Heavier plans, and deliberate choices for a longer trial, give the customer more time to convince themselves.

Watch out: extra days only help if the user reaches a clear aha moment inside the trial.

Free plans: the freemium variant

Some products skip the trial and offer a free plan that never expires. HubSpot’s guide calls this freemium: a limited free version, with paid advanced features.

Here’s how that looks on a current pricing page. Note how the free card sits right next to the first paid plan:

Claude SaaS pricing page with a Free plan card listing web search, memory, Artifacts and up to 5 projects, next to the Pro plan at 20 dollars a month, an example of freemium pricing Claude’s pricing page, Free plan next to Pro, checked 17 October 2026. From Belgium the page showed euro.

The free plan does the trial’s job. The limit (here, the number of projects) is what nudges people up.

Gemini’s subscription page uses the same ladder, with a free plan and two paid tiers above it:

Google Gemini subscriptions page showing the free plan next to Google AI Plus at 4.99 dollars and Google AI Pro at 19.99 dollars a month, a three-step freemium pricing ladder Gemini’s free plan next to the paid Google AI plans, checked 17 October 2026.

If your product lets users find value on their own, read how product-led growth builds on exactly this.

Offer more than one way in

The free trial is rarely the only door. The best pricing pages offer several conversion paths side by side.

Salesforce combined the trial with a phone number and a downloadable comparison table.

Concur stacked even more options on top of each other:

  • a free trial period
  • a way to get in touch
  • a price calculation
  • a quote request

The thinking behind it: not every buyer sits at the same point in their decision. So give them buttons that match their moment.

For example, a team lead may want to try the tool today, while a CFO comparing vendors wants a quote.

How to phrase those buttons is covered in our call-to-action examples.

Should you always show your prices, or sometimes hide them?

Not always: it’s a deliberate choice that should fit the product and the audience.

Roughly two schools face off here.

School 1: radical transparency

HubSpot let the price move with the number of relevant contacts. The customer got a tailored price instead of being pushed into a fixed box.

Property management software AppFolio even opened its pricing page with a promise of transparency, backed up by cases.

Transparency lowers the barrier and raises comfort. The customer doesn’t feel manoeuvred into a sales trick.

School 2: the price up your sleeve

Concur showed a strikingly cheap entry plan. Only afterwards did it ask you to request a quote for the heavier plans.

Other companies go further. They first ask you to create an account, or even submit a request, before you get access.

That sounds counterintuitive. But for products where trust or security is central, such a step strengthens the story.

The customer is guided through a safe, supported process instead of being rung up at a till.

How to choose

Your sales cycle and your buyer decide. Here’s the decision in one table:

SituationBetter choiceWhy
SMEs that decide quickly aloneshow priceslowers the barrier
Complex enterprise software, long journeysquote on requestthe deal needs a conversation
Trust or security is the core of the offerguided accessthe process itself builds trust

What matters is that you choose consciously. Don’t hide your prices out of convenience.

If you want to know where your visitors drop off in your case, that starts with proper conversion research.

How do you know whether your SaaS pricing strategy really works?

Count how many pricing page visitors become paying customers: that’s the only score that matters.

You can argue endlessly about three versus five plans. But not pageviews, not trials, only revenue at the bottom tells you the truth.

Watch the right figures

A high visitor count on your pricing page says nothing if almost nobody clicks through.

Many trial signups say nothing if they never become a paying subscription.

The figures that count:

  • Conversion rate: from visitor to paying customer
  • Retention: how long that customer stays and pays
  • Lifetime value against acquisition cost: see our guide to the LTV:CAC ratio

Steer on those, not on vanity figures that look good in a report but bring in nothing.

See what visitors actually do

Numbers tell you that people leave. A session tool shows you where.

Microsoft Clarity, for example, is free and shows scroll depth, heatmaps and session recordings:

Microsoft Clarity homepage with a demo dashboard showing sessions, pages per session and scroll depth, a free tool to see where visitors drop off on a SaaS pricing page Microsoft Clarity’s homepage, October 2026. The demo dashboard shows scroll depth, the number that tells you how many visitors leave the first screen.

If most visitors never scroll past your plan cards, your FAQ and proof below them do nothing. Our guide to scroll depth explains how to read that number.

Test, adjust, test again

As big players like Salesforce showed by testing their plan structure, you only know what works once you measure it.

A pricing strategy isn’t a one-off decision. It’s a hypothesis you test, adjust and test again.

We believe in honest advice and a small team that moves fast. A simple test live today beats months of meetings about the perfect table.

How to tackle that structurally is covered in our guide on conversion optimization for B2B.

Frequently asked questions about SaaS pricing

How many plans should I show on my pricing page?

There’s no fixed number. Some proven companies work with five plans, others deliberately with three or fewer. Big players like Salesforce tested their plan structure instead of relying on gut feeling. Start with the number that makes the buying choice clearest, then test whether more or fewer converts better.

Do I always have to show my prices publicly?

Not necessarily. Transparent prices lower the barrier for SMEs that decide quickly for themselves. For complex or enterprise software, quote-on-request can be more logical. Choose consciously based on your sales cycle and your buyer, not out of habit.

Does a longer free trial really work better?

Often it does. Basecamp extended its trial period from 45 to 60 days, because users then use the product more and become more dependent on it. What matters is that the customer reaches a clear aha moment within that period, otherwise extra time doesn’t help.

Which metric should I base the difference between plans on?

On the metric closest to the value for the customer: team size, number of visitors, number of projects or users. That way a prospect recognises immediately which plan they belong in, instead of guessing from a feature list.

How do I measure whether my pricing strategy works?

Look at the conversion from visitor to paying customer and at retention afterwards, not at pageviews or trial signups. A pricing strategy is a hypothesis: measure, adjust and test again.

Ready to make your pricing page convert?

Good SaaS pricing isn’t filling in prices and hoping. It’s testing which structure, trial and conversion paths work for your B2B buyer.

More on the wider picture in our guide to SaaS marketing.

Want a second pair of eyes on your pricing page? Contact us and we’ll tell you which test to run first.

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