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

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.


These events will form the foundation for segmenting users based on their pricing path.
Navigate to segments and define groups such as:



These segments let you personalize not just messaging — but entire pricing strategies — based on intent and behavior.
In Experiences, create multiple pricing page versions tailored to each segment:
(Click the toggle option to select personalization)




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

In Experiments, create A/B tests to compare different messaging strategies:
(Click the toggle option to select experiment)



(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.

In Analytics, create a dashboard to track:
Use these metrics to double down on what’s working and sunset underperforming pricing approaches.
Unlike traditional CRMs that rely on manual data entry and static records, Intempt uses AI agents to research, segment, qualify, and enrich leads continuously, keeping your pipeline moving without constant human intervention.
The built-in CDP unifies all your customer data across channels into a single profile. It resolves user identities by merging anonymous and known sessions, connects users to their companies, and combines behavioral, firmographic, and journey data. This gives your team a complete, real-time view of every customer.
You can create customer segments simply by describing them in plain language. The AI analyzes lifecycle, qualification, and engagement data to build segments automatically. These segments update in real time as new data comes in, so your campaigns always target the right audience.
Intempt pulls live enrichment data from external sources, including People Data Labs, DropContact, and other public databases. This fills in missing attributes on user and account records automatically, keeping your data complete and current.
Yes. Intempt includes built-in consent management tools for GDPR and CCPA compliance. You can collect and track user permissions, handle right-to-be-forgotten and data portability requests with one click, and offer customers a customizable preference center.
Intempt offers native integrations with popular platforms, including HubSpot, Shopify, Stripe, and more. It provides real-time data sync across your CRM, marketing, and eCommerce tools, with customizable triggers, field mappings, and data flows to fit your specific workflows.
Zero theory or mindset discussions here; just actionable marketing tactics that will grow revenue today.
Connectors
Product
Discover marketing workspace where you turn audiences into revenue.
Learn about IntemptGet our newest weekly use cases and resources for
Marketing & Sales teams