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 additional revenue.
  • Prove Additional Lift
  • Unlock Audience Precision
  • Hit ROAS Goals Faster
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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.
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We Paused a “Winning” Campaign — and ROAS Went Up

Most brands would have scaled this campaign. We paused it. Because it was targeting the wrong customers and the data proved it.

April 23, 2026
April 23, 2026
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Three Proven
Pillars of Experimentation

Segment

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

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

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.

Experimentation=Asking Better Questions

Read Experiment Insights

Asking betterr questions and solving business problems by injecting critical variables
customer value, churn risk, product potential, geographic efficiency
directly into Google and Meta, then measuring what actually changed.
What if we guide the algorithm toward high-value customers instead of sheer volume?
What if we isolate the geographies the algorithm quietly ignores?
What if we revive the products the system has abandoned?
What if we measure lift — not just performance?


How to Uncovers +12–30% Lift

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.
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

Our Experimentation Evaluation Method

Our Experts will evaluate which campaign shows better outcomes

Did the LXRInsights audience
have higher repeat purchases?
Was churn lower in the
LXRInsights segment?
Was there incremental
revenue growth?
Did the retention of high-value customers (HVCs)
lead to an increase in AOV and CLTV?
How did the contribution margin of the
LXRInsights segment compare to the baseline?

Statistical confidence is the source of truth

Not lift, not instinct, not a good first week.
AI and human expertise design the test — only significance decides whether it deserves to scale.

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