How to Run A/B Split Testing in Framer with Humblytics

Mastering A/B Split Testing in Framer with Humblytics

Hey there, web optimization enthusiast! Ready to supercharge your Framer website's performance? Let's dive into the exciting world of A/B split testing using Humblytics. This guide will walk you through the process, from setup to analysis, in a way that's easy to follow and implement.

Why A/B Testing Matters

Before we jump in, let's quickly touch on why A/B testing is so crucial:

  • Boost conversion rates
  • Make data-driven decisions
  • Understand your audience better
  • Maximize your ROI

1. Setting Up Your Framer Project

Create Your Pages

  • Design two versions of the page you want to test in Framer.
  • Label them "Variant A" and "Variant B" (trust me, you'll thank yourself later).

Prepare Your Elements

  • Clicks
  • Sign-ups
  • Any other conversion metrics

Publish Your Project

Hit that publish button and grab those unique URLs for each variant. You'll need these for the A/B test setup.

2. Integrating Humblytics with Framer

  1. Sign Up or Log In to Humblytics:
    • If you don’t have a Humblytics account yet, sign up at Humblytics. If you already have an account, simply log in.
  2. Add your Framer Site: Follow the Framer Analytics Guide for detailed instructions on integrating Humblytics with your Framer site.
  3. Track Custom Events: Learn how to set up custom event tracking by visiting the General Guides Page on Humblytics.

3. Setting Up the A/B Test in Humblytics

  1. Navigate to A/B Testing: In your Humblytics project dashboard, find the Split Testing section. Click on "Start New Experiment."
  2. Configure Your Test: Give your test a descriptive name and enter the URLs of your Variant A and Variant B pages from Framer.
  3. Set Goals: Define the goals for your test, such as click-through rates, form submissions, or any custom events. Specify the key performance indicators (KPIs) to measure success.
  4. Select Randomization: Choose between session-level or user-level randomization based on your needs.
  5. Launch the Test: Review your test settings and click "Start Experiment" to begin the split testing process.

4. Analyzing Split Test Data

Once your A/B split test is running, Humblytics provides valuable insights and data to help you determine the winning variant. Here's how to analyze your split test data:

  1. Access Experiment Results
    • Log in to Humblytics and head to the "Split Testing" section.
  2. Overview Section: Get a bird's-eye view of your experiment:
    • Unique visitors
    • Page views
    • Conversion rates
    • Bounce rate
    • Average session length
    • Average scroll depth
  3. Target Clicks Section
    • See how those buttons and links are performing across variants.
  4. Form Submissions Section
    • Compare form submission data between your variants.
  5. Real-Time Monitoring
    • Watch those conversions roll in as they happen!
  6. Determining the Winner
    • Analyze the data against your goals and KPIs.
    • Make sure your results are statistically significant before popping the champagne.
  7. Implementing the Best Variant
    • Once you've crowned a winner, implement it on your Framer site.
    • Keep monitoring to ensure continued success.

5. Continuous Optimization

Remember, A/B testing isn't a one-and-done deal. It's an ongoing process to keep your site at peak performance:

  • Run tests regularly
  • Document your results and learnings
  • Use insights to design new tests
  • Track your optimization progress over time

Conclusion

You're now equipped to run A/B split tests like a pro on your Framer website using Humblytics. By following this guide, you'll be making data-driven decisions that can significantly impact your website's performance and user engagement.

Remember, the key to success is continuous iteration and optimization. So go forth, test boldly, and may your conversion rates always be in your favor!

Have questions or want to share your A/B testing wins? Drop us a line at support@humblytics.com. We'd love to hear from you!