Introduction:
As an e-commerce business owner or marketer, understanding your customer base is essential for driving growth and increasing revenue. Klaviyo allows you to leverage customer data to craft targeted and personalized campaigns. One crucial aspect of customer segmentation is identifying and targeting customers based on their Average Order Value (AOV). In this blog, we’ll explore how to create segments in Klaviyo for average order value.
Let’s dive in!
Understanding Average Order Value (AOV):
Before we dive into segment creation, let’s understand what Average Order Value actually is.AOV represents the average total value of orders placed by customers within a specific timeframe, typically calculated by dividing the total revenue generated by the number of orders.
Why Segment Customers Based on AOV?
Segmenting customers based on AOV allows you to create targeted campaigns tailored to specific spending behaviors.In doing so, you can find potential customers. You can implement strategies to encourage repeat purchases, upsell higher-priced products, and offer loyalty rewards. Similarly, low AOV customers can be targeted with personalized incentives to increase their spending and loyalty.
Step-by-Step Guide: Creating Segments for AOV in Klaviyo:
- Navigate to list and segment option in klaviyo
- Create segment
- Go to ‘Predicted analytics about someone’
- Chose ‘Average order value’
- You can specify equal, greater, less or other options here [ Select as per your scenario ]
AND
- The person is not suppressed.
Average order value can be further classified into low AOV and high AOV.
High AOV segment in klaviyo:
Your customers with high average order value fall under this category. You can create a segment for high AOV using the conditions below:
Predictive analytics about someone
Average order value greater than 100
AND
person is not suppressed
Low AOV segment in klaviyo:
Your customers with a low average order value fall under this category. You can create a segment for low AOV using the conditions below:
Predictive analytics about someone
Average order value less than 100
AND
person is not suppressed
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FAQs:
1. How do I create an Average Order Value (AOV) segment in Klaviyo?
Answer: To create an AOV segment in Klaviyo, go to “Lists & Segments,” click “Create List/Segment,” choose “Segment,” set the condition for “Average Order Value,” and specify the desired AOV threshold.
2. Can I create multiple AOV segments in Klaviyo?
Answer: Yes, you can create multiple AOV segments based on different AOV thresholds or customer behavior.
3. How can I use AOV segments for targeted campaigns in Klaviyo?
Answer: Utilize AOV segments to send personalized offers, product recommendations, and incentives based on customer spending behavior.
4. Is it possible to automate AOV-based emails in Klaviyo?
Answer: Yes, Klaviyo offers powerful automation features to set up workflows triggered by AOV-related actions for seamless customer engagement.
5. Can I track the performance of AOV segments over time?
Answer: Absolutely, Klaviyo provides analytics to monitor segment performance, allowing you to optimize your marketing strategies.
6. How should I approach customers in the low AOV segment?
Answer: Engage low AOV customers with upsell opportunities, personalized discounts, and targeted product recommendations to increase their spending.
7. What type of campaigns work well for the high AOV segment?
Answer: For high AOV customers, consider offering exclusive rewards, sneak peeks of premium products, and loyalty-based campaigns to encourage repeat purchases.
8. Can I create a segment for both high and low AOV customers simultaneously?
Answer: Yes, Klaviyo enables you to create multiple segments for different AOV ranges, allowing you to target customers effectively.
9. How often should I update my AOV segments?
Answer: Regularly review and update your AOV segments as customer spending behavior may change over time.
10. Are there any other segmentation options in Klaviyo besides AOV?
Answer: Yes, Klaviyo offers various segmentation options based on customer demographics, behaviors, purchase history, and more to enhance your targeting capabilities.
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