Repeat vs. klaviyo

Turn one-time buyers into repeat customers.

Delight your customers with effortless personalization at every moment in their journey. Engage customers at high-leverage Moments and deliver high-converting content to their inboxes at exactly the right time.
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comparison

What's the difference between Repeat and Klaviyo?

Summary

Timing

Predictions
Experience

Overview

Repeat thinks at the product level and feeds its predictions into both marketing channels and the on-site cart experience. Klaviyo's predictive analytics thinks about the customer as a whole.

  • Repeat's replenishment logic operates at the product level and accounts for bundles
  • Repeat's subscription and sample upsell flows are native and unique to Repeat
  • Klaviyo's CLV scoring, churn risk signals, and next best product & best cross-sell tiers are more advanced

Klaviyo is best for precise segmentation, but Repeat's predictions and logic makes for a better, more seamless customer experience.

Repeat

  • Replenishment: calculates a replenishment window per product based on each item's known consumption interval. Knows exactly which product runs out and when — and accounts for bundles, similar products, and out-of-stock scenarios
  • Lapse Prevention: Fires a dedicated 'Late Due to Replenish' event when a customer is past their replenishment window — a separate automation moment with its own message cadence

Klaviyo

  • Replenishment: predicts a next order date per customer using purchase history across the whole catalog — no product-level setup needed. Works for first-time buyers using store-wide averages
  • Lapse Prevention: surfaces 'past expected order date + high churn risk' on a profile, letting you build win-back flows triggered by that combination

Repeat

  • Overview: predictions are translated into actionable events that fire into marketing channels (Klaviyo, Attentive, Postscript) and into the Repeat Cart — driving both messaging and on-site personalization
  • Customer Lifetime Value: not a direct feature. Repeat focuses on product-level timing rather than dollar value modeling
  • Churn Risk Score: not a standalone score. Churn risk is addressed through Late Reorder and Lapsed Customer events rather than a numeric rating
  • Predicted Gender: not a feature

Klaviyo

  • Overview: available inside Klaviyo profiles and segments — used to time and target emails and SMS within Klaviyo flows
  • Customer Lifetime Value: calculates Historic, Predicted, and Total CLV per customer. Retrains weekly
  • Churn Risk Score: scores every customer as Low / Medium / High churn risk based on purchase cadence and engagement. Usable in segments and flows
  • Predicted Gender: infers gender from first name and census data for personalization

Repeat

  • Product Recommendations: Surfacced per customer through a 'Primed for Cross-Sell' event — with recommended products and previously purchased products both sent to Klaviyo, Attentive, or Postscript
  • Subscription Upsell: has a 'Primed for Subscription' event — fires when a customer is a strong candidate to convert a one-time purchase into a subscription, with the specific product attached
  • Sample Upsell: has a 'Ready for Sample Upsell' event — fires when a customer who bought a sample is likely ready to purchase the full-size version, with both products sent as data

Klaviyo

  • Product Recommendations: offers a 'Next Best Product' and 'Best Cross-Sell Date' (on higher-tier Analytics plans). Uses purchase patterns across the catalog to suggest what to buy next
  • Subscription Upsell: not a dedicated moment. Would be manually built using CLV or churn signals
  • Sample Upsell: not supported
case studies

Helping brands create customers for life

18% CVR and 89% more revenue per session

TRUFF wanted to simplify the replenishment process for customers and drive more conversions with every email they sent. They added a simple replenishment banner across every campaign and flow to drive reorders, leading to a 17% AOV increase and as much as a 30% CVR per campaign.

5x to 30.9x ROI in the first three months

wildwonder needed to reduce the manual work required to run lifecycle flows, especially with frequent product launches, that still maintained their brand personality. By working with our success team, they launched five flows and multiple dynamic blocks for quick wins without the extensive design time.

6% higher AOV and 8% 30-day LTV lift

Fresh Clean Threads discovered that the more items in a customer's first order, the less likely they were to return. They ran a 90-day holdout test with multiple lifecycle flows, and had so much success that they rolled ou all the flows across their entire customer base after just 30 days.

9x ROI and $27k in attributed repeat revenue

Beekman 1802 noticed a declining repeat customer rate, with their prior lifecycle efforts lacking personalization and precise timing. After launching multiple lifecycle flows with Stamped, they not only saw better conversion rates, but freed up their team's capacity for more strategic iniatives.

7x more revenue per session and 5x CVR lift

Olipop wanted to strike a balance between reinforcing their brand story and asking customers to make another purchase—without asking for a sale when the time wasn't right. By building replenishment flows and adding replenishment banners, customers can now easily reorder from any email.

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