How Cardon Outperformed Default Replenishment Flows by 2.58x

We helped Cardon move beyond the "Static Timer" trap. By shifting their replenishment flows from basic triggers to a predictive consumption model, they unlocked revenue that was previously invisible.

How Cardon Outperformed Default Replenishment Flows by 2.58x

We helped Cardon move beyond the "Static Timer" trap. By shifting their replenishment flows from basic triggers to a predictive consumption model, they unlocked revenue that was previously invisible.

How Cardon Outperformed Default Replenishment Flows by 2.58x

We helped Cardon move beyond the "Static Timer" trap. By shifting their replenishment flows from basic triggers to a predictive consumption model, they unlocked revenue that was previously invisible.

21x

texttexttexttexttexttexttexttexttext

5x

text

17.25%

text

2.58x

Replenishment Revenue Multiple

1.32x

AOV Expansion

Cardon is a personal care brand specifically designed to address men’s skin and hair care concerns using advanced Korean skincare innovation and science.

INDUSTRY

Skincare

WITH RETENTICS SINCE

2025

Book a demo

Challenge

Cardon relied on static timers and site-wide averages to send replenishment reminders. However, different products like daily SPF and hair treatments have vastly different lifecycles. Sending emails based on a generic calendar meant reminders arrived too early or too late, causing customer friction and missing critical reorder windows.

Solution

Cardon integrated Retentics for a 90-day A/B test, completing the technical setup in just 48 hours using existing brand creative. Instead of guessing based on site medians, the AI analyzed individual consumption habits to trigger automated, high-intent alerts exactly when a customer was running low.

Cardon integrated Retentics for a 90-day A/B test, completing the technical setup in just 48 hours using existing brand creative. Instead of guessing based on site medians, the AI analyzed individual consumption habits to trigger automated, high-intent alerts exactly when a customer was running low.

Result

The predictive flows delivered a 2.58x replenishment revenue multiple over the legacy setup. By hitting inboxes at the peak of necessity, Cardon also built customer trust that expanded average order value (AOV) by 32% (a 1.32x multiple), scaling repeat revenue without increasing ad spend.

The predictive flows delivered a 2.58x replenishment revenue multiple over the legacy setup. By hitting inboxes at the peak of necessity, Cardon also built customer trust that expanded average order value (AOV) by 32% (a 1.32x multiple), scaling repeat revenue without increasing ad spend.

How did we run our A/B test?

We used a methodology that moved past surface-level clicks to find the true revenue driver:


The Setup:

  • Prioritize Revenue Multiple as the main KPI:

    We focused on the absolute revenue lift generated by our predictive triggers compared to the default setup.

  • Define the scope:

    We tested two different philosophies: targeting people based on a generic calendar (Static Timers) vs. targeting people based on individual product usage (Predictive Replenishment).


Running the test

  • 90-day testing window:

    This allowed us to account for varying product shelf lives—from daily SPF to targeted hair treatments—and the natural restock behavior of Cardon’s customers.

  • Monitor for accuracy:

    We ensured alerts landed exactly when a customer was likely to run out. We weren't looking for clicks; we were looking for high-intent reorders.

We used a methodology that moved past surface-level clicks to find the true revenue driver:


The Setup:

  • Prioritize Revenue Multiple as the main KPI:

    We focused on the absolute revenue lift generated by our predictive triggers compared to the default setup.

  • Define the scope:

    We tested two different philosophies: targeting people based on a generic calendar (Static Timers) vs. targeting people based on individual product usage (Predictive Replenishment).


Running the test

  • 90-day testing window:

    This allowed us to account for varying product shelf lives—from daily SPF to targeted hair treatments—and the natural restock behavior of Cardon’s customers.

  • Monitor for accuracy:

    We ensured alerts landed exactly when a customer was likely to run out. We weren't looking for clicks; we were looking for high-intent reorders.

The 2 KPIs That Actually Predict Bottom-Line Revenue

KPI 1: Replenishment Revenue Multiple


Most default flows guess timing based on site-wide averages. This KPI compares the absolute revenue generated by individual consumption tracking versus those generic static setups.

  • The Cardon Result: 2.58x Revenue Multiple. Retentics generated over 2.5x the revenue of the legacy replenishment setup during the testing period.


KPI 2: Average Order Value (AOV) Of Replenishment Revenue

Precise timing builds trust. When a reorder reminder hits exactly at the peak of necessity, customers are significantly more likely to add more to their cart.

  • The Cardon Result: 1.32x AOV Multiple (32% Lift). Optimizing timing and product recommendations significantly expanded average basket size compared to the baseline setup.


KPI 1: Replenishment Revenue Multiple

Most default flows guess timing based on site-wide averages. This KPI compares the absolute revenue generated by individual consumption tracking versus those generic static setups.


  • The Cardon Result: 2.58x Revenue Multiple. Retentics generated over 2.5x the revenue of the legacy replenishment setup during the testing period.


KPI 2: Average Order Value (AOV) Of Replenishment Revenue

Precise timing builds trust. When a reorder reminder hits exactly at the peak of necessity, customers are significantly more likely to add more to their cart.


  • The Cardon Result: 1.32x AOV Multiple (32% Lift). Optimizing timing and product recommendations significantly expanded average basket size compared to the baseline setup.

The Key Health Metrics That Support Performance


Setup & Implementation

  • Speed to Value: Go-live took less than 48 hours. Cardon didn't need a technical overhaul or new creative assets; they simply connected their existing Klaviyo templates to our predictive backend.


  • Resource Drag: Zero developer hours or ongoing management required. All product lifecycle mapping and tracking logic are automated.


Setup & Implementation

  • Speed to Value: Go-live took less than 48 hours. Cardon didn't need a technical overhaul or new creative assets; they simply connected their existing Klaviyo templates to our predictive backend.


  • Resource Drag: Zero developer hours or ongoing management required. All product lifecycle mapping and tracking logic are automated.

The Takeaway

Success in retention isn't about how many emails you send; it’s about how many land at the peak of necessity. Relying on static timers leaves revenue on the table. When you switch to predictive replenishment, you stop chasing reorders and start facilitating them.

Success in retention isn't about how many emails you send; it’s about how many land at the peak of necessity. Relying on static timers leaves revenue on the table. When you switch to predictive replenishment, you stop chasing reorders and start facilitating them.

Cardon is a personal care brand specifically designed to address men’s skin and hair care concerns using advanced Korean skincare innovation and science.

INDUSTRY

Skincare

WITH RETENTICS SINCE

2025

Book a demo

Case Studies

  • We've been looking for ways to make our email program more sophisticated, but we needed

    a solution that was easy for our team to execute.

    David and his team have been great to work with.

    We started seeing results almost immediately, and our automated emails are now far more intelligent.

    Dave Oliva

    E-Commerce growth marketer

  • Retentics is able to help us improve the lifetime value of our customers and capture under-utilized demand with their AI-driven segmentation.

    It changes how we think of segmentation due to the dynamic and personalized nature of AI.

    Ron See

    Founder

  • What sets Retentics apart is its sophisticated system predicts exactly when customers will repurchase, which allows marketers to send personalized messages and automate the entire process.

    Ruben

    Digital Growth Manager

  • Before Retentics, we were mostly guessing when it came to customer timing and product recommendations. Their AI takes the guesswork out of building segments and targeting the right customers at the right moment—something we simply didn’t have the time to do manually. As a small team, having a tool that drives results while giving us back our time is a huge win.

    Carlie P.

    Co-Founder

  • AI is an overhyped buzzword that's often thrown around, making it hard to distinguish real innovation from basic machine learning dressed up as something more. With Retentics, setting up flows was effortless - we simply cloned our existing ones, changed the trigger, and were up and running. Most importantly, the impact was almost immediate, and the numbers spoke for themselves: higher click rates and more purchases compared to Klaviyo’s flows.

    Javier Gutierrez

    Retention Marketing Specialist

Copyright © 2026 Retentics. All Rights Reserved