Compare multi-step vs. single-page checkout processes to identify what reduces abandonment and optimize the final steps of your funnel.

This Growbook walks you through building a checkout flow optimization framework using GrowthOS. Rather than relying on assumptions, you’ll test how users interact with different checkout experiences and personalize interventions based on their drop-off behavior.
With GrowthOS, you can track key drop-off points across single-page vs. multi-step flows, segment users based on where they exited, launch personalized journeys based on real-time segments and experiment with checkout flow variations using GrowthOS Experiences
To illustrate the use case, we will refer to a ecommerce store, “Threadly”
Integrate Intempt's SDK into your e-commerce website to start tracking user activities. Follow Javascript SDK or Shopify integration guide to ensure proper setup. Track user activities such as browsing products, adding items to the cart, starting checkout, and completing a purchase. For example, page_view, add_to_cart, checkout_start, and purchase.

Since we need to track specific steps in the checkout process, we also need to create some custom events. To do this, go to Create Event for example “Reached payment page” and select the source: “ThreadLY shopify” then select the appropriate attribute “URL”

Ensure that you track user's email attribute so you can send emails to them. This can be done by a separate popup for newsletter subscriptions or by incentivizing users to sign up before starting the checkout process.
Navigate to the Segments section and create new segments based on the tracked events. For instance:

We also create additional segments based on where users reach in terms of specific steps in the checkout process. This will be useful to create branch conditions in the journeys and target specific flows for users who have reached certain steps. For instance:
Navigate to the Experiences tab and in the experiment setting, run an A/B test for Single-page checkout (fast, minimal steps) and Multi-step checkout (guided, simpler layout per screen)

This will help determine which checkout style performs better with different audiences.

Each segment should trigger a customized, multi-step journey based on user behavior and friction point.

Open your journey and monitor the following metrics- Entered: Users who qualified and entered journey, Messaged: How many received the message, In Progress: Users still progressing through steps, Completed: Finished full journey, Exited Early: Dropped out before completion, Converted: Took desired action (Ordered Product).

Test and iterate on: Time delays, Incentives vs. education, Multi-step vs. single-page outcomes, Messaging channels: email, SMS, and push notifications.
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