Find Your Best-Performing Pricing Strategy

Test different pricing and packaging options to drive more upgrades from your current users and attract new segments.

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Find Your Best-Performing Pricing Strategy
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Introduction to Executive Dashboard:

The Executive Dashboard SuccessBLOC allows you to:
What's Included?
Goals & KPIs

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About the Growbook

In SaaS, pricing isn’t set-and-forget. The wrong plan structure or messaging can slow down upgrades, confuse new buyers, or miss key market segments. And yet, most teams rely on gut instinct or static pricing tables, with no way to measure what really works.

This Growbook shows you how to use GrowthOS to test pricing page variants and upgrade prompts across different user segments. You’ll segment users based on usage and plan type, then tailor your CTAs, copy, and feature positioning to each group. The result? Clear, data-backed pricing strategies that convert better and scale smarter.

We’ll use Otto, a demo project management SaaS platform, as our example.

Good to know

We will be using both personalization and experiment in this growbook because price testing isn’t just about pricing tiers, it’s about how you message pricing to different cohorts, and what version of that message works best within each cohort.

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TL;DR – Find Your Best-Performing Pricing Strategy

  • Set up pricing page variants using personalization to test different plans, bundles, or discounts.
  • Use Experiments to A/B test performance across audience segments or entry sources.
  • Track conversions, clicks, and revenue impact for each pricing variant in real time.
  • Combine test results with filters like plan type, user intent, or geography to spot trends.
  • Identify top-performing price configurations and iterate with confidence — no developer lift needed.
  • Result: A continuous, low-effort system for optimizing pricing and packaging across user types.

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Benefits

  • Learn what messaging drives upgrades: Test headlines, layouts, and CTAs for specific audience segments
  • Tailor plans for power users vs light users: Show the right features and pricing for each stage of user growth
  • Expand into new customer tiers: Try packaging and plan variations for new audiences without committing to a full relaunch
  • Iterate with confidence: Track conversion lift and optimize based on real behavior, not gut instinct

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How It Works

Step 1: Track product user engagement

  1. Install Intempt’s JavaScript SDK:
    Begin by tracking plan upgrades and feature interactions using Intempt's SDK. This ensures your data flows to GrowthOS. You can then segment users based on their current tier, feature usage, and upgrade history.

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  1. Check or define key Events: Confirm the following are tracked- ‘subscribed to basic plan’, ‘subscribed to premium plan’, ‘viewed upgrade plan’, ‘Viewed Pricing Page’, ‘Create user’, ‘subscribed newsletter’ ‘book demo’, ‘product viewed’.

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  1. ‍Create additional events: If any events are not readily available, go to create event and set conditions to create the needed event.

These events will form the foundation for segmenting users based on their pricing path.

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Step 2: Create key pricing segments

Navigate to segments and define groups such as:

  • “Ready to upgrade”: Users who belong to a company with more than 500 employees, visited pricing page and viewed upgrade plan in the last 7 days and not subscribed to premium plan.

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  • “Heavy basic users”: Users in SAAS industry who have subscribed to basic plan, created user, created object and created ml task in the last 14 days.

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  • “Inactive pro users”: Users in the US who have subscribed to premium plan and created user OR created object less than 3 times in the past 30 days. (to categorize users who are not using key features of the product regularly)

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These segments let you personalize not just messaging — but entire pricing strategies — based on intent and behavior.

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Step 3: Create personalized pricing page variants

In Experiences, create multiple pricing page versions tailored to each segment:

(Click the toggle option to select personalization)

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Variant 1 – For ready to upgrade users

  • Emphasize immediate value
  • CTA: “Upgrade Now and Get a Bonus Feature”
  • Highlight plan comparison with clear feature unlocks
  • Highlight enterprise plans for larger companies

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Variant 2 – For heavy basic plan users

  • Focus on how current usage aligns with Pro benefits
  • CTA: “Looks like you're outgrowing Basic Plan, here’s what you unlock next”
  • Add time-sensitive promotion (e.g., 14-day trial of Pro)
  • Add testimonials from SAAS teams who have subscribed to premium plan 

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Variant 3 – For inactive pro users

  • Position Pro plan with re-engagement incentives
  • CTA: “How’s the Premium plan? Here’s what’s new and what you might’ve missed”
  • Include loyalty offers for regular users
  • Add a product tour button or a video walkthrough explaining the use cases of the features

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Target each experience using segment logic and display it only on the pricing page.

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Step 4: Run A/B tests across versions

In Experiments, create A/B tests to compare different messaging strategies:

(Click the toggle option to select experiment)

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  • Target particular segment for the A/B test 

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Example A/B test

  1. Select the segment ‘Heavy Basic Users’ in targeting to just run the experiment for this segment
  2. In the visual editor make different variants with/without testimonials from SAAS teams who have subscribed to the premium plan and with without special SAAS enterprise payment plans

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  1. Test headline: “Upgrade to Pro” vs “Unlock Your Team’s Full Potential”

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  1. Test CTA color, copy, and placement
  2. Test full pricing table layout: stacked features vs tier comparison

(good to know: we use personalization to show different variants to different people and experiment so see which version of the plan works best for this particular group)

Monitor test confidence, conversion lift, and behavior post-upgrade.

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Step 5: Track outcomes and iterate

In Analytics, create a dashboard to track:

  • Click-through rates on upgrade CTAs
  • Conversion rate from pricing page to plan upgrade
  • Plan churn or downgrade rate over time
  • Experiment lift vs control

Use these metrics to double down on what’s working and sunset underperforming pricing approaches.

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Thanks for reading till the end. Here are 3 ways we can help you grow your business:
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Web A/B testing

Use front-end A/B and multi-page experimentation product built for any business size. Run multiple experiments on the same page.

GPS icon

Targeting & personalization

Deliver targeted messaging, personalized offers and recommend the most relevant content for your users.

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Visual editor

Empower your team to collaborate with an easy-to-use visual editor without using developer time to get things up and running.

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Analytics

Gain insight into the impact of your experiments with statistically valid results. No complex statistical analysis required.

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Server & client-side testing

Go beyond client-side testing and deploy experiments on the server-side. Test and optimize content changes and even complete re-brands.

Shuffle icon

Flexible goal selection

Select the right goal for each personalization and experimentation campaign to ensure you’re optimizing towards the right objectives.

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Note remove icon

Web A/B testing

Use front-end A/B and multi-page experimentation product built for any business size. Run multiple experiments on the same page.

GPS icon

Targeting & personalization

Deliver targeted messaging, personalized offers and recommend the most relevant content for your users.

Edit icon

Visual editor

Empower your team to collaborate with an easy-to-use visual editor without using developer time to get things up and running.

Presentation chart icon

Analytics

Gain insight into the impact of your experiments with statistically valid results. No complex statistical analysis required.

Search icon

Server & client-side testing

Go beyond client-side testing and deploy experiments on the server-side. Test and optimize content changes and even complete re-brands.

Shuffle icon

Flexible goal selection

Select the right goal for each personalization and experimentation campaign to ensure you’re optimizing towards the right objectives.