A/B test email frequency with klaviyo conditional split

Introduction:

You’ll learn how to A/B test email frequency with Klaviyo conditional split for any flow, such as abandoned cart flow, browse abandoned flow, birthday flow, expected next purchase flow, or other flows. Let’s dive in!

Why Test the Number of Emails in Flows?

Too many or too few emails can harm your conversions and KPI performance. That’s why you need to determine the optimal number of emails to send in your Klaviyo flows. Often, marketers and business owners simply copy others’ processes and add three emails in their abandoned series. However, through testing, they can identify the email frequency that best suits their brand.

By utilizing the conditional split in Klaviyo, you can determine the optimal email frequency to follow for your tested Klaviyo flow.

How to test email frequency in klaviyo flows?

  • Go to flow you wanna test
  • Drag and drop conditional split after trigger

 

what is random sample in klaviyo flow conditional split

 

  • Navigate to ‘Random Sample’
  • Specify only 50% of people and save

random sample klaviyo

 

Then add different number of email on YES and NO path. Assume you want to test 2 emails vs 1 email for any of your flow. For this , add 2 email on Yes path or No path and 1 email on other path.

 

conditional split in klaviyo flows

 

Remember! Use same time delay.

Tip! You can A/B test anything using this conditional split in klaviyo flows.

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FAQs:

1] What is a conditional split in Klaviyo?

Answer: A conditional split in Klaviyo is a tool that segments subscribers in an email flow based on specific conditions, allowing marketers to send tailored content based on customer behaviors.

2] Why should I test email frequencies in flows?

Answer: Testing email frequencies helps you find the right balance between engagement and avoiding subscriber fatigue, leading to optimized engagement and conversions.

3] What is random sample in klaviyo conditional split?

Answer: You can test anything using this option in the conditional split. If you specify a 50% random sample of people, what does that mean? Essentially, half of your flow audience will follow the YES path, while the other half will follow the NO path.

4] What’s the benefit of A/B testing email frequencies?

Answer: A/B testing email frequencies provides insights into subscriber preferences, allowing you to send emails at intervals that maximize engagement and results.

5] Can I use conditional splits for different types of flows?

Answer: Yes, you can use conditional splits for various flows like abandoned cart, browse abandoned, birthday flow, and more, tailoring email frequencies for each type.

6] Is copying email processes from others effective?

Answer: While copying processes is common, testing and adapting email frequencies to your brand’s audience often yield better results.

7] How long should I run tests to get meaningful insights?

Answer: Allow tests to run for a sufficient period, usually a few weeks, to gather substantial data for reliable insights.

8] What if my audience prefers different email frequencies?

Answer: Conditional splits enable you to send emails with varying frequencies to different segments, catering to diverse audience preferences.

9] Are there any best practices for successful testing?

Answer: Yes, consider factors like segmentation, consistency in content, statistical significance, and patience while conducting tests.

10] How can conditional splits help enhance my email marketing campaigns?

Answer: Conditional splits empower you to fine-tune your flows, ensuring subscribers receive relevant emails at the right intervals, thereby increasing engagement and conversions.

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