Repeat Purchasers, Klaviyo

Repeat Purchasers for the selected period. The count of customers who placed two or more orders, a core retention signal. How to read it, why it matters, and how to act on it.

Metrics type: Supporting Metrics • Category: Email Marketing

The retention number that acquisition metrics hide. A rising repeat-purchaser count means the email programme is building a base, not just renting traffic.

At a glance

Repeat Purchasers counts the customers who placed two or more orders within the selected window, a retention signal Klaviyo derives from profile order history. It is a customer count, not an order count and not a revenue figure: ten orders from one person count as one repeat purchaser. This card matters because repeat buyers are the cheapest revenue a brand has, requiring no fresh acquisition spend, and a healthy email and SMS programme should grow this number over time through welcome, post-purchase and win-back flows. Read it next to total active subscribers and predicted CLV to see whether your list is converting into a loyal base or just churning through one-time buyers.

What it counts	Distinct customers with two or more placed orders in the window. A customer count, deduplicated by profile.
API endpoint + statistics field	Derived from profile and Placed Order event history via GET /api/metrics and GET /api/metric-aggregates, counting profiles whose order history crosses the two-order threshold in the window.
Attribution model	This is a customer-level retention count, not a per-send attribution metric, so Klaviyo’s 5-day click and 1-day view window does not gate it the way it gates revenue cards.
Email vs SMS aggregation	Channel-agnostic. It counts purchasing behaviour on the profile, regardless of which channel last touched the customer.
Chart type	KPI (single number for the period).
Time window	Selected period (default 30 days).
Alert trigger	A decline in the repeat-purchaser count versus the prior comparable period, which signals weakening retention.
Roles	owner, marketing

Calculation

Calculated automatically from your Klaviyo data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.

Worked example

An illustrative supplements brand on Shopify using Klaviyo, where reorders are central to the model. The 30-day window covers 14 Mar 26 to 12 Apr 26. Figures are illustrative.

Cohort (illustrative)	Customers	Orders placed
One-time buyers (1 order)	1,820	1,820
Repeat purchasers (2+ orders)	640	1,540
Total purchasing customers	2,460	3,360

Repeat purchaser count (this card) = 640
Repeat-purchase rate = repeat purchasers / total purchasing customers
                     = 640 / 2,460 = 26%
Orders per repeat purchaser = 1,540 / 640 = ~2.4

What’s interesting:

1. 640 customers, not 1,540 orders. This card counts people, not orders. The 640 repeat purchasers placed 1,540 orders between them, but the headline number is the customer count.
2. A 26 percent repeat-purchase rate is the deeper story. Just over a quarter of buyers came back within the window. For a consumables brand built on reorders, that is the metric to grow through post-purchase and replenishment flows.
3. Repeat buyers punch above their weight. 640 repeat purchasers (26 percent of customers) drove 1,540 of 3,360 orders, about 46 percent of order volume. Retention compounds.
4. Window length shapes the number. A 30-day window captures fast reorder cycles; for a brand with a 90-day reorder rhythm, widen the window or this card will understate true repeat behaviour.
5. Pair with predicted CLV. A rising repeat-purchaser count alongside a growing high-CLV tier in Predicted CLV Tiers confirms the programme is building durable value, not just one-off sales.

Sibling cards merchants should reference together

Read these alongside Repeat Purchasers to size the loyal base and the opportunity to grow it.

Card	Why pair it with Repeat Purchasers
Predicted CLV Tiers	Shows whether repeat buyers are concentrating in the high-value tier, the sign of durable loyalty.
Active Subscribers	The list size this base is drawn from. Repeat purchasers as a share of active subscribers is a list-quality read.
Placed Orders	The order count repeat buyers contribute to. Useful for the orders-per-repeat-purchaser ratio.
Conversion Rate	Explains whether new buyers are entering the funnel to replenish the repeat base.
Top Segments by Revenue Send	Surfaces which segments hold the repeat purchasers so you can target retention sends.

Reconciling against Klaviyo

Where to look in Klaviyo:

Build a segment under Audience → Lists & Segments with the condition “has placed order at least twice over the window”, and read its profile count. Klaviyo’s Analytics → Customers view and any RFM or customer-lifecycle dashboards also surface repeat-buyer cohorts. The segment count is the closest direct equivalent to this card.

Why our number may legitimately differ:

Reason	Direction of divergence
Time zone. Klaviyo evaluates order dates in the account time zone; Vortex IQ defaults to UTC. An order near a window boundary can fall in or out.	Small count difference at the window edge
Window definition. “Two orders in the window” depends on the exact start and end. A segment built with slightly different bounds will count differently.	Direct function of the chosen window
Profile merging. Klaviyo merges duplicate profiles over time. Orders attached to a not-yet-merged duplicate can split a single customer into two, changing the count.	Either direction until profiles merge
Order event coverage. Repeat detection relies on the Placed Order event reaching Klaviyo. Gaps in that integration undercount orders and so undercount repeat buyers.	This card can understate
Currency base. This is a customer count, so currency does not affect it.	None

Known limitations / merchant FAQs

Is this counting orders or customers? Customers. A person who placed five orders in the window counts once. The number is distinct repeat purchasers, deduplicated by profile.

My repeat-purchaser count looks low. Is my retention bad? Maybe, but check the window first. A 30-day window only catches customers who reordered within 30 days. If your typical reorder cycle is 90 days, widen the window before judging retention.

Does the threshold count orders within the window or lifetime? This card counts customers who crossed two or more orders within the selected window. A customer with one historic order and one new order in the window may or may not qualify depending on how the window is bounded, so keep the window consistent when trending.

Why does Klaviyo’s segment count differ slightly? Time-zone boundaries, the exact window dates, and profile-merge timing all shift the count by small amounts. Build the comparison segment with the same dates to get the closest match.

Does channel matter? Are SMS-driven reorders counted? No, channel does not matter. This is a behaviour count on the profile. A reorder counts whether it followed an email, an SMS, or no Klaviyo touch at all.

How do I grow this number? Post-purchase, replenishment and win-back flows are the levers. A reorder reminder timed to the product’s consumption cycle is the single highest-return retention play for consumables brands. Track which segments hold the repeat base in Top Segments by Revenue Send.

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Tracked live in Vortex IQ Nerve Centre

Repeat Purchasers is one of hundreds of KPI pulses Vortex IQ tracks across Klaviyo and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English.

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