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The 4-Month Audit & Pilot
Every Business Needs
Test.Learn.Improve.
We match your Meta or Google Ads campaign results directly to a series of smart, AI-powered experiments to unlock 12-30% more revenue, without extra spend.
Apply by August 31, 2025

What You Get
Tailored performance breakdown and key areas of opportunity for your Google & Meta Ads
Tailored experiments matched to improving specific campaigns
Control vs. Test groups applied across: Audiences , Geos, Product Categories
LXRInsights Dashboard access where you can track experiment results
Clear calendar of test launches, reviews, and check-ins—no last-minute scrambling
Bi-weekly strategy calls with NetElixir specialists who diagnose, guide, and review each step
Why You Need Experiments
Turn your store’s data into a testing ground for profitable growth strategies with these tactics:
high-value buyers
customers to scale growth
targeted re-engagement
mid- and low-value segments
high-potential regions
Who Should Apply?
DTC or eCommerce Brands with:
1- Annual Revenue of $15M+ and
Paid Media Spend of $1M+ per year
2- Platform Running or planning ads on Google and/or Meta


You Also Get Access to LXRInsights AI
Sync and activate clean audiences
Push cleaned-up, segmented audiences to Google and Meta Ads—or tag them directly in Shopify
Identify your high-value customers
Spot your most profitable segments and understand what drives their purchases
Uncover winning product bundles
Analyze buying behavior to surface high-performing product combinations
Pinpoint overlooked/underperforming regions
Target high-potential geos by analyzing gaps in current reach and performance
Compare customer journeys over time
Understand how purchase paths differ between new, returning, and churn-risk customer
Use predictive audiences to stay ahead
Automatically identify and activate segments like “likely to purchase” or “likely to churn” within 60 days

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Results from Experimentation
In 2024-2025 we ran 257 experiments.
15–30% average revenue lift in early-stage tests without increasing spend
Improved ROAS on average by 22% in segments tested with high-value audiences
Reduced CPA by 10–25% for brands using predictive segment targeting
60%+ test-to-control clarity, enabling faster scaling of what works
>70% accuracy in predicting customer behavior (purchase in 60 days, churn risk)