About the Growbook

Conversion lifts don’t come from more banners—they come from clearer tests and timely follow-ups. This growbook shows how to use GrowthOS to run Experiments on web or mobile, pick winners with a stats engine you can trust, turn those winners into targeted personalizations, and add a light activation layer with Journeys. The aim is a steady loop: try → learn → apply → follow up → measure.

TL;DR- GrowthOS for CX Marketers

• Create an Experience for Web or Mobile and set a target page or screen.
  
• Start an Experiment with multiple variants (layout, copy, offers, URLs).
  
• Target by audience (returning users, campaign traffic, high-intent segments).
  
• Trust results with Sequential Testing, CUPED variance reduction, and confidence intervals.
  
• Apply the winning variant, then launch personalization for specific segments.
  
• Add a Journey to re-engage drop-offs across email, push, or SMS with simple branching.
  
• Track lift in Experience Analytics and campaign impact in Journey Analytics.
  

‍Result: Faster learning, clearer wins, and consistent follow-through.

Benefits

• Learn faster: Test ideas with a visual editor; ship small, see impact quickly.
  
• Personalize with purpose: Target segments that actually differ.
  
• Stay coordinated: Site/app and messaging work from the same audiences.
  
• Reduce handoffs: Create, test, and apply changes without a long dev queue.
  
• Prove lift: Use a stats engine designed to avoid false positives and noise.
  
  

How It Works

Step 1: Create Segments to personalize the experiences

Create segments for different users like those who are ‘Ready for Upgrade’ or ‘Haven’t logged in for more than 7 days’

Step 2: Create an Experience (Web or Mobile)

• Choose the page or screen, open the visual editor, and outline the change you want to test layout, copy, offer, or placement.
• Add variants with their own display rules, targeting, and success goals. Target returning users, specific campaigns, or a high-intent segment.

Step 3: Start an Experiment with clear targets

Add variants with their own display rules, targeting, and success goals. Target returning users, specific campaigns, or a high-intent segment.

Step 4: Let the Stats Engine do the math‍

‍Monitor results with Sequential Testing (safe peeking), speed them up with CUPED, and read confidence intervals to focus on meaningful lift.

Step 5: Apply the winner and personalize by segment

‍End the test at significance, apply the winning variant, and create a personalization that shows the best version to the audience that benefits most.

Step 6: Add the activation layer

If a variant reveals a drop-off, start a Journey for that audience. Email first, then push or SMS, with simple delays and outcomes. Add a Slack alert if a human touch helps.

Step 7: Measure and iterate

Check Experience Analytics for lift and Journey Analytics for engagement and goal conversion. Keep what works; queue the next test.

Good to Know

• Define one primary goal per test; keep variants small so you learn what changed.
  
• Use the same Segments for targeting and follow-up to stay consistent.
  
• Keep copy blocks reusable with Smart Snippets so updates stay in sync.
  
• Run fewer, clearer tests; ship winners quickly, then move on to the next question.