Lashify
Driving Conversion Through Personalized Shopping Experiences
Platforms and Integrations:
See all our Partners
Lashify is a direct-to-consumer beauty brand specializing in at-home lash application.
With an extensive product catalog and a growing subscription (autoship) program, the brand had a strong foundation but needed to unlock the next level of conversion performance on its Shopify storefront.
The core challenge:
Shoppers were not receiving personalized recommendations based on their purchase history or browsing behavior, while the existing purchase flow introduced unnecessary friction at key decision points, especially around promotions, subscription upgrades, and reordering.
- UIUX Design & Strategy
- Conversion Rate Optimization
- Rebuy Slideout Cart
- Product Page Improvement
- Performance Optimization
- Affiliate Software Integration
- Post Purchase Experience
- Yotpo Reviews Migration
Our Hypothesis
We approached the project with two guiding hypotheses:
Relevant Products Convert
Personalized shopping experiences convert at a higher rate than generic ones. When users see products relevant to their behavior and purchase history, they are more likely to add items to their cart and complete checkout.
Fewer Steps Convert
The easier it is for a user to take action, the more likely they will. Reducing the number of steps and decisions between intent and purchase directly improves conversion.
These hypotheses informed every implementation decision that followed.
Tool Selection: Why Rebuy Engine
After evaluating multiple personalization and merchandising platforms, we selected Rebuy Engine for several key reasons:
Feature set
Smart cart, upsells, post-purchase offers, and reorder pages in one platform.
API flexibility
Strong APIs for custom flows and seamless integration with Lashify’s stack.
Easy setup
Simple implementation and management with less work for Lashify’s team.
Competitive pricing
Competitive pricing compared with other tools in the same space.
Native integrations
Built-in Recharge and Klaviyo support for Lashify’s ecosystem.
Building the Order Matrix
Before configuring any widgets, we built a comprehensive order matrix that segmented Lashify’s order data across multiple dimensions: order value, product types purchased, subscription vs. one-time purchase, and first-time vs. repeat buyers.
This matrix allowed us to identify distinct shopping cohorts and design personalized experiences for each segment using Rebuy’s rule engine.
The order matrix served as the strategic backbone for every widget placement, product recommendation, and promotional offer we deployed.
Widget Implementation
One-Click Subscription Upsell
We enabled one-click subscription upgrades in the cart, reducing friction and increasing autoship enrollment.
Smart Cart Merchandising
We swapped Lashify’s custom cart for Rebuy’s Smart Cart to add powerful features right in the cart.
Buy More, Save More Promotion
We launched a tiered in-cart promo that boosted order units and value by increasing discounts wit h each added lash.
Checkout Upsell
We added personalized product recommendations at checkout to give shoppers a last chance to add relevant items.
In-Cart Discount Code Field
We added a discount code field in the cart so shoppers see adjusted prices before checkout, reducing confusion and boosting trust.
Post-Purchase Upsell
We used post-purchase upsell s with segmented, one-click offers after checkout, increasing add-on revenue easily.
Reorder Landing Pages
We created reorder pages letting loyal customers quickly repurchase favorites without browsing the full catalog.
Upsell and Cross-Sell Widgets
We added a discount code field in the cart so shoppers see adjusted prices before checkout, reducing confusion and boosting trust.
Ongoing A/B Testing
Beyond the initial implementation, Rebuy’s built-in A/B testing system allowed us to continuously refine our approach. We tested different promotional structures, product recommendation algorithms, and widget placements to identify the highest-performing configurations.
This testing layer boosted conversion rates beyond personalization alone.
Results
Within the first 90 days of deployment, the Rebuy Engine integration drove measurable gains across ever y key KPI we aimed to improve. The results validated our personalization and friction-reduction hypotheses and confirmed the overall commercial impact of the implementation.
These results reflect the combined impact of personalization and friction reduction across the customer journey. Revenue per visitor rose 18.6%, website conversion increased 9.2%, post-purchase conversion grew 32.17%, and AOV gains confirmed stronger overall order value.
Conclusion
Rebuy Engine let us deliver personalized, low-friction shopping experiences across every key stage of the customer journey.
By combining order-matrix segmentation with Rebuy’s widgets and integrations with Recharge and Klaviyo, we improved AOV, conversion rate, add-to-cart rate, and revenue per visitor.
This project shows how personalization and friction reduction can drive measurable commercial results.
MAKE IT HAPPEN
