Experimentation powered by AI

Turn Every Campaign Into a Proven Growth Experiment

Experimentation with LXRInsights

Algorithms are a black box. Rising costs make guessing risky. LXRInsights experiments prove what actually drives incremental revenue

Prove Additional Lift
Unlock Audience Precision
Hit ROAS Goals Faster

Traditional Methods

The black box nature of algorithms, rising customer acquisition costs, and margin pressures make relying solely on automated solutions risky, often eroding profitability.

Turn Your Channels into
Testing Grounds
‍

Our Experiment Team partners with you to design, run, and interpret experiments inside the LXRInsights platform—ensuring every test drives insights and helps you hit your ROAS goals

Join Pilot Program

Promote High-Margin
Products to HVCs

Bundle Popular Products for MVCs

Unlock Revenue from
Underutilized Geos

Revive Dead SKUs
with HVCs

Prevent churn with keyword
targeted re-engagement

How Experimentation
Uncovers +12–30% lift on average

Revenue with LXRInsights

Revenue without LXRInsights

Y-Axis: Revenue / ROAS
‍X-Axis: Campaign Timeline

Find, Acquire & Retain HVCs – LXRInsights identifies the customers who drive the majority of long-term revenue.

Optimize Your Customer Mix – Balance High, Mid, and Low Value segments for sustainable growth.

Boost Core Metrics – Lift AOV, CLTV, and ROI while lowering CAC.

Unlock Additional Revenue – Prove lift with side-by-side control vs experiment testing.

Launch Your First Experiment!

Try it Now!

Three Proven Pillars of Experimentation

Segment

LXRInsights Uses 43 AI-driven metrics to accurately classify customers as High-Value (HVC), Mid-Value (MVC), and Low-Value (LVC) because Meta and Google optimize for conversions, not customer value. Segmentation ensures you spend where lifetime value is highest.

Go beyond basic tools like Google with advanced machine learning models.
Create hyper-targeted segments for smarter campaigns.
Pinpoint customers most likely to drive long-term revenue growth.

Acquire

Platform lookalikes are good, but they often chase cheap conversions. Cleaned-up 1P segments create higher-quality seed audiences that scale more efficiently.

Build lookalike audiences similar to identified HVC, MVC, and LVC segments.
Apply behavioral filters, such as lifestyle and affinity audiences, to find prospects that match your best customers.
Use predictive AI to identify audiences most likely to become high-value customers.

Retain

Google and Meta are built for acquisition. Without retention filters, campaigns over-invest in reacquiring customers you already had.

Predict which HVCs are at risk of churning and re-engage them.
Identify LVCs most likely to purchase again in the next 60 days. Build retention experiments to maximize repeat purchase frequency and reduce wasted reacquisition spend.