Win in the AI-First Digital Landscape
Our innovation stack helps brands scale high-value growth, faster and smarter.
eTail Growth Kit
From Customer Insight to Additional Revenue — All in One System
2024-2025 Results
+18-42%
~3.4x
~11.9x
Interface RoAS
revenue
37-46
5-10%
Allocated To Testing
spend (not guesswork)
One brand uncovered
$1m in additional revenue in 45 days




Industry Highlights

+38% growth in HVCs +36% increase in AOV
+66% increase in HVCs

6x ROAS in 2 Months
Frequently Asked Questions
Can’t find the answer you’re looking for? Don’t hesitate to get in touch with our customer support team.
LXRInsights combines an AI intelligence platform with an expert-led experimentation service to help eCommerce brands unlock additonal revenue from their first-party data.
• The platform generates predictive insights and high-value audiences.
• The service activates those insights through controlled marketing tests.
It is both.
Platform: Predictive customer intelligence and analytics
Service: Strategy, experiment design, implementation, and measurement
Most brands use LXRInsights as a growth engine, not just another dashboard.
Experiments are how insights are translated into real revenue impact.
Rather than guessing which strategy will work, LXRInsights runs controlled tests in live campaigns to identify what actually drives incremental growth.
Experiments are the mechanism — not the end product.
The platform analyzes your first-party data to produce actionable intelligence, including:
• High-value customer segmentation (HVC / MVC / LVC)
• Purchase propensity predictions
• Churn and risk detection
• Product affinity modeling
• Lifecycle insights
• Revenue contribution by segment
• Next-best action recommendations
• It shows who to target, when, and why.
• Option to run tests within platform
The service layer handles everything required to turn insights into results:
• Hypothesis design
• Test planning
• Campaign implementation
• Control vs. test measurement
• Cross-channel activation
• Performance analysis
• Scalable testing roadmap
• Brands don’t need to build an internal testing team.
Experiments typically activate through existing marketing channels, such as:
• Google Ads (Search, Shopping, PMAX, Display)
• Meta (Facebook & Instagram)
• Paid social and programmatic
• Email and CRM platforms
• Shopify and eCommerce systems
• The platform enhances your current stack rather than replacing it.
• Can use insights and audiences technically anywhere
Success is measured differently for the platform and for individual experiments.
Platform success is reflected in long-term improvements to your customer mix — specifically, an increase in high-value customers and lifetime revenue potential. LXRInsights’ AI continuously scores customers and tracks shifts toward more profitable segments over time.
Experiment success is measured using statistically significant lift against a control group, not just platform-reported metrics. Winning strategies are then scaled to drive sustained profit improvement.
Key outcomes typically include:
• Revenue growth
• ROAS improvement
• More efficient customer acquisition
• Retention and repeat purchase gains
• SKU performance recovery
• Overall profitability improvement
• Better customer mix
Insights are generated quickly once data is connected and within platform.
Revenue impact typically emerges over the first experiment cycles (often within 4–8 weeks).
Because tests run on live campaigns, value accumulates continuously.
LXRInsights is ideal for mid-market and enterprise eCommerce brands that:
• Spend significantly on paid media
• Have rich first-party data
• Want predictable, measurable growth
• Lack a dedicated experimentation team
• Need to improve ROI and profitability
Most agencies optimize campaigns. Most AI tools optimize within a channel.
LXRInsights focuses on customer-value-driven growth across channels, combining:
• Predictive intelligence
• Scientific testing methodology
• Execution support
• Revenue accountability
It functions as a continuous growth engine rather than a one-off project.









