Prove Marketing ROI WithDecision Science
We help CMOs, founders, and CEOs of e-commerce, DTC, and retail brands prove which ads drive revenue and which just take credit for it.
Four questions. A clear read on how much of your ROI is real.
No email required to see your result.
Question 1 of 4
When a campaign shows strong ROAS in your ad platform's dashboard, how much do you trust that number?
Most experts sell creative.
We sell decision science.
Platform dashboards claim credit for sales that would have happened anyway. We measure what your ads caused.
Statistical Validation
Rigorous testing ensures your ad campaigns produce real, statistically significant results, not noise.
Causal Inference
We measure true ROI, not correlation. Causal models isolate what's driving your marketing results.
A/B Testing Frameworks
Structured testing protocols that reduce risk and generate statistically reliable, actionable insights.
Attribution Models
Multi-touch attribution that reveals true revenue drivers across every channel and customer touchpoint.
Three steps from broken data to confident decisions
Every engagement follows the same rigorous methodology, regardless of your industry, data maturity, or the service you choose.
Diagnose
We audit your data stack, attribution setup, and KPIs to surface exactly where measurement is broken, and quantify what it's costing you in misdirected budget.
Model
We build causal models that connect marketing actions to revenue outcomes, using statistical methods that go beyond correlation to isolate true impact.
Optimise
We deliver prioritised, evidence-backed recommendations and support you through budget reallocation, so every dollar goes where it works.
End-to-end decision science for modern commerce
From analytics audits to causal inference, every service is built around measurable outcomes.
Built for CMOs,
founders & commerce leaders
We work with CMOs, founders, and CEOs of e-commerce, DTC, and retail brands, typically $500K–$50M revenue, ready to replace platform attribution with causal measurement.
E-Commerce
CMOs & founders scaling on Facebook & Google, $500K–$50M revenue
DTC Brands
Founders and marketing leads proving ROI to boards and investors
Retail
CEOs and marketing directors connecting online and in-store revenue
Measurable outcomes,
not vanity metrics
CAC Reduction
Helped an e-commerce brand reduce customer acquisition cost by isolating true ad performance drivers using causal inference.
Annual Revenue Attributed
Built a multi-touch attribution model for a DTC brand that directly attributed over two million dollars in annual revenue to specific channels.
Conversion Rate Uplift
Designed an A/B testing framework for a retail digital experience, achieving a statistically significant uplift in conversions.
What we're finding in attribution and incrementality.
We work with CMOs, founders, and CEOs of e-commerce brands, DTC companies, and retail businesses, typically with revenues between $500K and $50M. If you're spending $10K–$100K/month on paid advertising and suspect your attribution is wrong, that's exactly who we're built for. No in-house data team required.
Read-only access to your ad platforms (Meta Ads, Google Ads), your analytics (GA4 or equivalent), and your commerce data (Shopify, WooCommerce, etc.). We never touch campaign settings, budgets, or creative on your behalf.
Most engagements deliver initial insights and recommendations within 2–4 weeks. Implementation of those recommendations typically produces measurable impact within 60–90 days. Causal inference and attribution model projects take 4–8 weeks by design.
No. We handle data extraction, transformation, and modeling entirely. If you can grant read access to your platforms, we can do the rest. Many of our clients have no dedicated data function at all.
Platform attribution overclaims by 30–200% due to cross-channel double-counting, meaning CFOs are already approving inflated ad budgets. Our causal models produce defensible, auditable ROI figures. Most clients recover far more in reallocated spend than the engagement costs within 60–90 days. We can provide an estimated ROI range based on your current spend before you commit.
Yes. Several clients engage us on an ongoing basis for model maintenance, monthly reporting reviews, and continuous testing programmes. Most relationships start with a scoped project and evolve from there.
That's the most common situation we walk into. Most past analytics projects fail because they delivered insight without a clear path to action. Every engagement we run is structured around the decisions you need to make, not the data we can collect.
We solve commerce problems with analytical precision
L&Y Decision applies rigorous statistical methods to real commerce problems. We show you exactly which channels drive revenue and where to invest for maximum return.
- Director-level analytics leadership in commercial settings
- Proven revenue impact across e-commerce, DTC & retail
- Specialized in marketing attribution & causal modeling
- A/B testing frameworks that reduce risk & grow conversion
Combining statistical rigor with e-commerce, DTC, and retail practicality, built for brands serious about ROI.
Ready to prove your marketing ROI?
Book a free 30-minute consultation. Bring your ad account numbers; leave knowing which channels earn their budget.
Free. No commitment.