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\n {' '}\n \n According to ProfitWell\n \n , experimenting with changing SaaS pricing can backfire. Users who have paid a higher price\n for their subscription can go mad finding out you have recently reduced the price for your\n software by half.{' '}\n

\n

\n So is it worth{' '}\n \n conducting A/B tests\n {' '}\n on your pricing page?{' '}\n

\n

\n Yes, why not give it a try if a higher conversion rate is at stake! However, you should be\n careful.\n

\n

\n Testing different pricing strategies can be arguable. However, you can definitely test other\n elements of your pricing page content.\n

\n

\n Companies such as Netflix are often testing their pricing pages attempting to optimize their\n conversion rates. For example, a recent{' '}\n \n A/B test of Netflix’s pricing\n {' '}\n has revealed that a more traditional way of organizing pricing as table comparison (table A)\n performs better than self-contained tables (table B).\n

\n \"Netflix\n

Source: GoodUI.org

\n

\n The Netflix case shows that without questioning your assumptions and confronting them with\n users, you won’t be able to improve your conversion rate. That is why give A/B tests a try\n to see how small changes to your pricing table can make a difference on your company’s\n bottom line. In this article, we will explore how to approach A/B tests of pricing pages the\n right way.\n

\n

\n Let’s start by exploring what elements are worth testing out to improve your pricing page\n performance and, as a result, boost your SaaS sales .\n

\n

1. A/B testing pricing pages’ credibility signals

\n

\n Having worked in the software development field for a bit, I have noticed that the majority\n of software development agencies treat portfolios as their biggest asset. When everyone is\n selling lines of code in your region, there are not many possible options to stand out\n except for showing what clients you serve and the results you generate. Having sent\n thousands of cold emails to decision-makers one could notice that “big names” and\n recognizable brands in email headlines bring higher conversion. Also, describing results as\n numbers – “20% increase in” or “300% higher revenue” – worked miracles where one could not\n really compete much with more affordable competitors.{' '}\n

\n

\n When choosing an agency to write code for you (some black magic you don’t really\n understand), trust matters. The same applies to SaaS businesses that operate in highly\n competitive fields – a red ocean.\n

\n

\n When trying to convince a user into paying for a SaaS subscription, you have to break\n through multiple objections. While it is easier to get a user’s buy-in to register for a\n free trial, having them provide credit card details after trial finishes can be a challenge.\n

\n

\n Even more friction appears when users are required to provide credit card information before\n starting their free trial. This factor can contribute to a higher bounce rate of your\n pricing or registration pages.\n

\n

\n However, remember that you can respond to client objections early enough in the buying\n process to reduce friction and boost page conversion rate.\n

\n

Here are some of the elements that help build trust with users.

\n \n

\n In some industries such as healthcare subscription businesses where patient data is\n collected, one should comply with certain requirements such as having a HIPAA-compliant\n website platform.\n

\n

\n In all these cases, you have to show your trust signals to users in the relevant placement\n on your pricing page.\n

\n

What trust signals could work the best?

\n

\n There is no definite answer – you should experiment to find out what works the best for your\n business. However, in some cases, you can rely on the studies or experiments that other\n companies have conducted and made public.\n

\n

\n For example, Baymard has conducted a study in an attempt to learn how particular security\n badges affect users’ sense of security. Here is what they have discovered.\n

\n \n

Source: Baymard

\n

2. Pricing page A/B tests: reorganizing pricing plan

\n

\n The order in which subscription plans are placed on the pricing page can significantly\n impact your users’ final purchase decision. While claiming to make rational decisions, your\n users can still be subject to different cognitive biases. Let’s review at least two of them\n and help you use biases to your advantage.\n

\n

\n Primacy effect explains how the order in which the page elements are\n organized affects what product or plan a user chooses.\n

\n

\n The first thing users see on the pricing page will affect the perception of the following\n elements they are exploring later on. Therefore, you have to set the right expectations in\n the beginning showing a user the right plan.\n

\n

Which plan should you highlight?

\n

\n Before answering this question, let’s check the other bias – extremeness aversion for a\n broader context.\n

\n

\n “Extremeness aversion” is all about avoiding one extreme or the other when\n making a decision. In short, users are avoiding the cheapest and most expensive options.\n

\n

\n Now, let’s check out the example of Toggl pricing to examine what effect both biases can\n have on a user’s final decision.\n

\n \n

\n As you see, the first plan a user sees after entering the page, is the “Best for the teams”\n which significantly stands out from the rest of the plans. Toggl is “forcing” page visitors\n to benchmark against the most expensive plan.\n

\n

Let’s hypothesize user actions after they see the most expensive plan.

\n

\n After exploring the most expensive plan, they can start comparing it with the rest and see\n cheaper plans. While a free plan might be too limited in its features, Starter plan can end\n up to be one of the most optimal options, compared to the most expensive plan. This way a\n user chooses an option in the middle.\n

\n

\n Do you still have a free plan highlighted on your pricing page? Perhaps, this is the time to\n test if your users face primacy effects and if you can harness it to convince them into\n subscribing for a more expensive plan.\n

\n
\n

\n \n The first thing to remember is that A/B testing for your product pricing isn’t a one\n time thing; it’s a continuous project. Secondly, you need to make sure that you’re\n testing your prices with multiple margins. We’re always led to believe that ‘the highest\n the price, the lower the demand’ but, in 2021 this isn’t strictly true - consumers are\n looking for good quality and a brand that they trust so multiple margins are necessary\n for a brand to find the sweet spot.\n \n

\n\n

\n \n Milosz Krasinski, Managing Director at web consulting company{' '}\n \n chillifruit.com\n \n \n

\n
\n

3. Introduce urgency or bundle products

\n

\n I believe that giving discounts is, as a rule, a bad practice for a SaaS business. Would you\n really appreciate something if given for free right away? Especially if the product’s price\n is comparable to the price of two beers? One of the SaaS businesses I started working with\n used to have promo codes as a way to encourage users to buy a subscription. In fact,\n everyone could have access to it, with no effort. Having analyzed the numbers of how many\n users use a promo code at a checkout, we saw there was just a small fraction of users\n inputting it at the checkout. With this in mind, instead of giving a discount right away,\n one should use them as a reward for a certain action and give it only for a brief period of\n time.\n

\n

\n I highly recommend testing urgency elements on your pricing page and experiment by showing\n discounts on a pricing page only to those user segments that are close to conversion and\n need a final push, an incentive.\n

\n

\n For example, you could introduce a time-limited offer or discount and set up a timer for an\n offer expiration.{' '}\n \n Some website builders\n {' '}\n help you integrate this widget with a few clicks.\n

\n

\n Just make sure you stick to your words – change prices dynamically after the offer time\n passes.{' '}\n

\n

\n You can also test out how more flexibility in pricing can contribute to a higher conversion\n rate. For example,{' '}\n \n Hubspot offers an option\n {' '}\n to create your own offer bundle by adding or removing features.{' '}\n

\n

\n In more complex SaaS products, there are features users are not utilizing frequently. That\n is why it can be a good idea to get users to choose and pay only for the features that bring\n value. It might or may not apply to your business – just give it a try and set a new page\n variant for A/B tests.\n

\n \"Hubspot\"\n

4. Perfect your copy

\n

\n When rewriting your SaaS pricing page copy, try to focus on benefits for users more than\n explaining product features. Don’t go too much into technical SaaS copywriting – leave this\n language for your Knowledge Base. Consider rewriting some elements of your copy to show\n value for a user – terminology is a secondary thing.\n

\n
\n

\n \n The most high-converting pricing pages have results-driven copy. Instead of emphasizing\n the feature or technology each plan includes, they emphasize the outcome of\n said-feature. When writing any content on the page, ask yourself: “why should my user\n care? what’s in it for them? For example: if one of your features includes 500\n templates, you could mention that alone (as SaaS companies often do) or you could pair\n it with the outcome, and create a more compelling bullet point that drives more\n conversions.\n \n

\n

\n \n Your job is to simplify your prospect’s decision-making process and remove the friction.\n You do that by explaining exactly what’s in it for them, and why they need this feature.\n \n

\n

\n \n Talia Wolf, the Founder of{' '}\n \n GetUplift\n \n \n

\n
\n

\n Here is an example of a pricing plan copy where value is communicated. Treehouse is not\n focussing extensively on features, but explains what users can derive from using a product.{' '}\n

\n \"Treehouse\n

\n Consider arranging a copy on a page variant in a different way – look at it with your users’\n eyes. Ask yourself critical questions such as “What benefits does a feature bring and what\n ultimate goal does it help achieve?”.{' '}\n

\n

5. Drive better quality traffic by testing blog CTAs and headlines

\n

\n Having seen a few CTA experiments on both blog and product pages of enterprise businesses, I\n have noticed that what the whole team thought was a good way to encourage a user to talk to\n a sales rep proved to generate two times lower conversion than what everyone thought would\n be a much less attractive option. Users can often surprise us by taking us out of our\n regular way of thinking. However, while doing these tests, I have noticed a few patterns in\n winning experiments that repeat. Here are some of them you can test for your business.\n

\n

\n Consider changing a call to action with more generic phrases like “Sign up” to more\n action-driven such as “Start a test”. A slight change in a CTA can bring in more targeted\n traffic to your pricing page that will later convert at a higher rate.\n

\n

Integrate banners with contextual headlines that relate to a blog post content.

\n

\n Check out how an invoicing SaaS, InvoiceOcean, is applying changing headlines in their{' '}\n article on the best invoicing software .{' '}\n

\n \n

Source: InvoiceOcean

\n

\n You could test out more standard call to action buttons and headlines and more specific ones\n to see if it drives more engagement and results in a higher conversion rate.\n

\n

6. Work on eliminating complexity

\n

\n It seems to me that marketers tend to overcomplicate things – writing longer sentences where\n one could say the same with a shorter version, giving users more options to choose from by\n incorporating more than one critical CTAs on the pricing page. Having observed users in\n action interacting with my “more clever” and less complicated page versions, I have noticed\n that{' '}\n \n the more straightforward the message is\n \n , the better it converts for SaaS businesses (with some small exceptions to the rule).\n

\n

\n That is I recommend experimenting on making your pricing easier to understand. Normally, a\n user should not spend more than 2 minutes to make a final decision. Listing dozens of\n features increases user’s fatigue.{' '}\n

\n

\n While getting rid of feature listings is not always a good idea, you can create a page\n variant that helps users navigate through complex pricing. For example, you could ask a user\n questions and organize them in a quiz to narrow down available plan options.\n

\n

\n If your pricing depends on the frequency of use such as number of contacts or team members,\n integrating a dynamic slider on your pricing page can help users understand the software\n cost faster.\n

\n

Check out how Proof is using a slider to help users evaluate the price.

\n \"Proof\n

Source: Proof

\n

\n Apart from integrating some dynamic elements to help users navigate your offer, you can A/B\n test how animation videos improve time spent on page and conversion.{' '}\n

\n

7. Include a FAQ page

\n

\n Having worked on B2B SaaS web page copy, I used to design the content based on what the\n business could offer in terms of either a vitamin (nice-to have benefits) or painkiller\n (indispensable features). What I frequently did not account for and that I could use to get\n more sceptical prospects to go through the checkout process was answering their objectives.\n Only by analyzing support tickets and talking to customers more, did I manage to write a\n better converting page copy and answered the biggest objections with a F.A.Q. page.\n

\n

\n By incorporating an F.A.Q. section beneath the pricing table in your page variant, you can\n test out if this element helps you boost page conversion.\n

\n

\n Collect the most frequent questions your users have by going through the support tickets or\n recall previous interactions with users you had in the past (for example, usability\n interviews or calls) to collect some ideas for this section.\n

\n

Check out how User.com is using F.A.Q. section at the bottom of their pricing page.

\n \"user.com\n

Source: User.com

\n

How to conduct an A/B test?

\n

\n Now, as you found out about different page elements that you can A/B test to generate a\n higher SaaS conversion, let’s check out how you can put this knowledge in action.{' '}\n

\n

Here is a quick guide on doing A/B tests (if you are doing it for the first time).

\n

1. Formulate your A/B test hypothesis and state your goal

\n

For example, you can aspire to increase conversion by 10% by changing pricing box copy.

\n

\n \n Hint: Start with Google Analytics to identify challenges – e.g. high bounce rate,{' '}\n \n use heatmaps\n {' '}\n to see where users churn on your pricing page. One of the top mistakes in SaaS marketing\n and price optimization is not asking users about their opinion and viewpoint. If you want\n to get a good starting point for building a hypothesis, ask users about their objections.\n \n

\n

2. Create a challenger page

\n

\n While a control page is the page you already have – your current pricing page, a challenger\n page or a page variant is the one you will be using for a test. Build a landing page to test\n changes one by one – don’t mix different tests together as in the end you won’t get a\n reliable outcome. By testing one thing at a time, you can achieve spectacular results. For\n example, a CRO agency, SplitBase has launched two separate experiments where they tested a\n modified headline copy. Both versions performed better than the control, with one of them\n bringing a 27% increase in conversion rate.\n

\n

3. Use an A/B testing tool

\n

\n Choose some tool that will help you conduct the experiment. You can check among free and\n paid tools. There are a number of considerations you need to take into account before you\n buy an A/B testing tool such as your testing needs, the impact on site speed, integrations,\n customer support, and, finally, pricing.\n

\n

4. Give it some time

\n

\n Don’t rush with conclusions – give your A/B test a time to collect enough user sessions for\n higher significance. Sample size matters a lot when it comes to the test data reliability. A\n predominant number of tests end up to be inconclusive because they end too early.\n

\n

5. Interpret results

\n

\n With an affluence of data, the world has become data-rich, but insight poor. Analyzing\n results in the right way determines your success with A/B testing and their business value.\n Pay attention to the elements such as percentage increase in your metric and confidence\n levels. This will help you determine a winning variation. Then deploy a winning page (if\n this was your challenger page). If your test results are inconclusive, you can consider\n preparing a summary of the test, draw conclusions and conduct one more test with a new\n hypothesis.\n

\n

Things to remember about before you start A/B tests

\n

\n Work on the accuracy of your tests. It is not enough to launch a test, wait for some time,\n check the data, and choose a winner. If you want your A/B tests to be trustworthy, you need\n to account for a couple of other important aspects in A/B testing.\n

\n

Target the right audience

\n

\n Users coming from a social media channel are different from those coming from Google search.\n By understanding behavioural patterns of your users better and running an analysis with the\n data you already have can help avoid sample size pollution.\n

\n

Calculate a sample size for your test

\n

\n Use available online sample size calculators to crunch numbers faster. If you need more\n sessions to fit into your target sample size, consider driving traffic with paid channels.\n You can consider running dark posts to get more people from your target audience to land on\n your website.\n

\n

Remember about statistical significance.

\n Set your statistical significance rate based on your risk appetite. However, remember that the\n acceptable rate for more reliable outcomes is not less than 95%.\n

Supplement findings with user interviews

\n

\n A/B tests can help you gain insight into qualitative data. However, you can still ramble\n trying to understand while users choose version A over B. That is why you should also\n consider collecting qualitative feedback. Run a survey or conduct more in-depth interviews\n with users to ask them more questions coming out from the context of your conversation.\n

\n

Final words on A/B tests of SaaS pricing pages

\n

\n I hope that this article has given you some inspiration on approaching A/B tests of your\n pricing page.{' '}\n

\n

\n If you are ready to get down to work and start planning your next A/B test, pay more\n attention to the following.\n

\n

\n Remember to start with a thorough research and use initial findings to build your test\n hypothesis.{' '}\n

\n

\n A/B tests require time and good planning so don’t be discouraged if you are not able to\n achieve much in a short period of time.{' '}\n

\n

\n Keep in mind that in order for A/B tests to work, you have to achieve statistical\n significance and collect sufficient numbers of interactions for each page variant.\n

\n

Good luck with boosting conversion!

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