Experimentation Hub

In the baby essentials industry, especially with big-ticket items like cribs, the path to profitability doesn’t stop after the first purchase. While new customer acquisition is vital, the real margin often lies in what comes next—accessory products that enhance, complement, or personalize the initial purchase.

This experiment was designed to improve revenue share from high-margin products by identifying which items in the catalog drive the most profitability—and strategically promoting them to customers who recently purchased a crib or other big-ticket product.

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We executed a targeted campaign strategy to:

• Identify high-margin accessory products (e.g., crib mattresses, bedding sets, storage organizers).
• Promote these items specifically to high-value customers who had already purchased a crib or similar high-investment product.
• Leverage personalization and timing to increase purchase frequency and order size, maximizing customer lifetime value.

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Cribs are often the entry point for new parents into a brand. But the real opportunity lies in attaching essential and high-margin accessories post-purchase.

This strategy works because:

• It targets known buyers with relevant, add-on products they likely still need.
• These accessories often have higher margins, lower competition, and quicker purchase cycles.
• It builds a deeper relationship with the customer early in their parenting journey.

In the high-end jewelry industry, customer retention is both a challenge and an opportunity. Unlike fast-moving consumer goods, jewelry purchases are often occasional and high-consideration, making it harder to drive frequent repeat purchases. However, accessories and lower-ticket items offer an opportunity to keep customers engaged between major purchases and maintain brand affinity.

This experiment was designed to proactively prevent churn by re-engaging at-risk customers—those predicted to lapse—through targeted promotions of products with high repurchase potential. In an industry where brand loyalty is everything, even one additional purchase can greatly increase customer lifetime value

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We used LXRInsights’ AI-powered segmentation to identify customers across high-, mid-, and low-value tiers who were at risk of churning. Then, we:

• Created targeted promotional campaigns focused on products with high repurchase potential (e.g., accessories, care items, or complementary pieces).
• Delivered timely, personalized messages aimed at prompting a second or return purchase.
• Monitored improvements in conversion rate, average order value (AOV), and incremental revenue.

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Jewelry isn't typically a high-frequency category—but accessories, gifting opportunities, and seasonal collections offer chances to keep customers connected.

Targeting at-risk customers across value segments helps:

• Mid- and low-value buyers feel re-invited and incentivized to come back.
• High-value customers stay emotionally tied to the brand and feel recognized.
• Create ongoing engagement loops, rather than leaving future purchases to chance.
• Smaller, loyalty-driven purchases—though lower in AOV—delivered meaningful bottom-line results.

In the apparel and footwear space, especially shoes, customer loyalty is often elusive. With endless options and constant new arrivals, customers tend to buy once and disappear. Yet, repeat customers are significantly more profitable and easier to convert than first-time buyers.

This experiment was born from a common pain point: how do we keep at-risk customers engaged before they churn? Our goal was to proactively improve customer retention and purchase frequency by using personalized messaging and AI-driven audience segmentation.

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We leveraged LXRInsights’ AI segmentation to identify mid- and low-value customers who were predicted to churn. Then, we:

• Ran targeted promotions featuring products with high repurchase potential (popular styles, basics, or limited-time offers).
• Implemented personalized messaging to make communication feel relevant and timely.
• Compared results against a non-personalized control group to evaluate the effectiveness of the approach.

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Shoes are a highly shoppable, style-driven product. While not always purchased frequently, customers often come back for new styles, replacements, or seasonal updates—if reminded at the right time, in the right way.

Targeting mid- and low-value customers (instead of focusing only on high-value ones) opens up a broader segment of users who may have only bought once but have high potential. Personalized messaging helps:

• Cut through the noise.
• Increase relevance and urgency.
• Create emotional connection—key in the fashion space.
• Those who saw ad spent more , reaching the right target.

In the beauty industry, serums are high-demand, high-margin products that often define brandreputation. But as competition intensifies, especially in premium skincare, it's not enough to be present—you need to win the revenue share in your highest-potential markets.This experiment was created to test whether we could scale revenue for our best-performing serumproducts by combining intent-based search campaigns with automated, keywordless strategies in top-performing geographic markets.

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• Using Google Search Network to capture direct intent via high-performing keywords.
• Deploying DSA and Performance Max (PMax) campaigns to broaden reach without relying solely on keyword input.
• Targeting top-performing geographic markets known for high engagement and purchase activity in the serumcategory.

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Serums are a cornerstone of many beauty routines, especially among skincare enthusiasts in high-intent markets. Customers actively search for product-specific, benefits-driven queries ("best vitaminC serum for glow," etc.)—but they also discover products through smart targeting, video, shopping,and display ads.

This strategy works because:

• Search campaigns capture those who know what they want.
• DSA and PMax help uncover demand among users not yet familiar with the brand.
• It ensures the brand is present across the full funnel, driving both discovery and conversion

What if you could win over potential customers already interacting with your competitors? LXRInsights makes it possible.

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• Analyzed competitor engagement signals to pinpoint interested prospects
• Built detailed customer profiles using first-party data
• Launched hyper-targeted campaigns where competitors’ audiences are most active

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It’s like playing chess—by anticipating your opponent's moves, you strategically position your pieces to capture their key players. LXRInsights helps you execute the perfect move to win over customers already in the game.

Launching a new product used to feel like throwing a party and hoping people show up. What if you could guarantee a red-carpet welcome every single time?

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• Analyzed past star products to find success patterns
• Identified the exact customer profiles that made them hits
• Found lookalike audiences in key launch regions before the product even hit the shelf

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It’s like having a time machine—we use your past successes to guarantee your future hits. No more crossing fingers on launch day!