The Retention Metric Missing From Your Klaviyo Dashboard
Figuring out your retention rate is one of the most important things you can do when analysing your ecommerce email marketing. Knowing how many first-time buyers actually return to make a second purchase tells you whether your post-purchase automations are doing their job.
Klaviyo recently introduced a customer retention rate card on some account homepages, but many accounts still do not have access to it. If your dashboard does not show it, you are flying blind on repeat purchase health. That is a costly blind spot.
Fortunately, you do not have to wait for an update. You can calculate this exact metric yourself inside Klaviyo using two simple segments and a 12-month evaluation window.
Segment One: Finding Your Baseline Customer Cohort
To measure retention over the past year, we need to look at who purchased during the prior 6-month window (between 6 and 12 months ago) and compare them to who returned recently. In my books, breaking the year into two 182-day halves gives you the cleanest read on buying cycles.
Head into Lists & Segments in Klaviyo and create your first segment, which represents your base cohort of past buyers:
- Condition: What somebody has done > Placed Order > at least once in the last 365 days
- AND: What somebody has done > Placed Order > zero times in the last 182 days
This definition captures every customer who bought between 183 and 365 days ago, but has not purchased again in the last 6 months. In a sample test account, this segment produced exactly 99 people.
Segment Two: Isolating Your Returning Customers
Next, you need to identify the customers from that same historical window who actually came back and placed another order during the last 6 months. This is your retained group.
Create a second segment with these specific definitions:
- Condition: What somebody has done > Placed Order > at least once in the last 182 days
- AND: What somebody has done > Placed Order > at least once between 182 and 365 days
This segment isolates customers who bought both in the earlier half of the year and again within the past 182 days. In that same test account, this returning group gave us 17 people.
Calculating Your Retention Rate Percentage
Once both segments have finished processing, pull up a calculator. Take the number of returning customers from your second segment and divide it by the baseline group from your first segment, then multiply by 100.
Using our initial test numbers: 17 divided by 99 multiplied by 100 gives an annual retention rate of roughly 17.1%. That gives you a clear baseline to track month over month.
We tested this method against a larger Klaviyo account that already had the native retention metric enabled. Segment two returned 514 customers, while segment one had 5,358. Running the math (514 divided by 5,358 multiplied by 100) produced 9.59%, matching Klaviyo's native dashboard reading of roughly 10% (accounting for minor day-to-day data sync rounding). The formula works.
Why This Six-Month Window Matters
Product quality heavily impacts retention, but your email and SMS strategy is what keeps your brand top of mind. If you do not track this rate, you cannot measure whether your post-purchase flows, cross-sell sequences, or VIP campaigns are moving the needle.
A retention rate between 15% and 30% is a healthy benchmark for most ecommerce brands, depending on your product's natural replenishment cycle. If your rate sits below 10%, you have a leaky bucket. Chasing new customer acquisition while ignoring this number is just burning margin.
Final Thoughts
Calculating your retention rate in Klaviyo takes less than 5 minutes to set up with two basic segments. Track this number quarterly to verify whether your retention flows are genuinely driving second and third orders. If the number is stagnant, your post-purchase strategy needs work.
Get an Audit of Your Klaviyo Strategy
If your retention rate is lower than it should be, we can help identify where buyers are dropping off. Book an account audit with our team, and we will review your flows, segmentation, and deliverability to help drive more repeat revenue.
