Who does L&Y Decision work with?

L&Y Decision works with e-commerce brands, DTC companies, and retail businesses — typically with revenues between $500K and $50M — who are serious about making evidence-based marketing decisions. They specialise in small and medium businesses ready to graduate from gut feeling.

What data access does L&Y Decision need to get started?

Read-only access to ad platforms (Meta Ads, Google Ads), analytics (GA4 or equivalent), and commerce data (Shopify, WooCommerce, etc.). L&Y Decision never touches campaign settings, budgets, or creative.

How quickly will e-commerce brands see results from decision science?

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.

Do you need an in-house data team for marketing attribution modeling?

No. L&Y Decision handles data extraction, transformation, and modeling entirely. If you can grant read access to your platforms, they do the rest. Many clients have no dedicated data function at all.

What is causal inference in marketing?

Causal inference in marketing is a statistical method that isolates the true incremental impact of advertising — measuring what would have happened without the ads (the counterfactual). Unlike correlation-based attribution, causal methods such as geo-holdout experiments, difference-in-differences, and Bayesian structural time-series prove that ads caused revenue, not merely correlated with it.

What is marketing mix modeling (MMM)?

Marketing mix modeling (MMM) is a statistical technique that quantifies how each marketing channel — paid search, social, email, TV, out-of-home — contributes to sales. Unlike last-click attribution, MMM uses aggregate time-series data to measure true channel contribution, accounting for external factors like seasonality and price changes.

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Know exactly what's working — before you spend another dollar

A comprehensive review of your data stack, KPIs, and attribution gaps. We surface exactly where your measurement is broken and what it's costing you.

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Investment:$3,000 – $8,000

2–3 weeks

Delivery timeline

15–40%

Typical misattribution found

Strategy debrief included

Deliverables

What you get

Full audit of your data stack (GA4, Meta Ads, Google Ads, Shopify, etc.)

KPI framework review with gap analysis and scoring

Attribution accuracy assessment across all active channels

Tracking and pixel implementation review

Prioritised recommendations report with estimated revenue impact

1-hour debrief call with implementation roadmap

Investment

$3,000 – $8,000

Fixed project scope

Timeline

2–3 weeks

Book a Consultation

Process

How it works

Data Stack Assessment

We map every data source you use — ad platforms, analytics tools, CRM, and POS — and identify where data is missing, duplicated, or mislinked.

KPI & Attribution Review

We audit how you define and measure success: which metrics matter, which are vanity, and where attribution is giving you a false picture of performance.

Analysis & Scoring

We run structured tests against your data to quantify gaps. Where is spend misattributed? What decisions have been made on bad data?

Report & Roadmap

You receive a clear, prioritised report with actionable recommendations, effort-vs-impact scoring, and a roadmap you can start implementing immediately.

Ideal Client

This service is for you if…

E-commerce brands spending $10K+ per month on paid advertising

DTC companies preparing to scale and needing clean data foundations

Retail businesses integrating online and in-store measurement

Marketing teams who suspect their attribution is wrong but don't know where to start

What clients see

15–40%

Typical misattribution

Most brands discover a significant portion of their ad spend is attributed to the wrong channel or campaign.

3×

ROI on audit cost

Clients routinely recover more value in redirected budget than the audit costs within 60 days.

Common questions

What access do you need?

Read-only access to your ad accounts (Meta, Google), analytics (GA4 or equivalent), and your e-commerce platform. We never touch campaign settings.

What if our data is a total mess?

That's exactly when an audit adds the most value. We've worked with brands starting from near-zero measurement hygiene and built clear pictures from fragmented data.

Can the audit lead to other services?

Yes — many clients use the audit findings to scope a dashboard build, attribution model, or ROI modeling engagement. But there's no obligation beyond the audit.

Do you audit platforms we don't use?

We focus on the platforms in your current stack. We'll flag gaps where a missing platform may be causing blind spots.

Other services

Advertising ROI Modeling

Causal models that link ad spend directly to revenue and profit — not correlation, not last-click. Built for e-commerce, DTC, and retail teams who need to justify every dollar.

$5,000 – $15,000

Conversion Rate Optimization

Structured testing frameworks that eliminate guesswork. We design experiments with proper statistical power, monitor them correctly, and deliver conclusions you can act on with confidence.

$4,000 – $12,000

Multi-Touch Attribution

A custom multi-touch attribution model that accurately maps how each channel contributes to conversions — across the full customer journey, not just the last click.

$6,000 – $20,000

Currently accepting new clients

Ready to prove your marketing ROI?

Book a free 30-minute consultation. No commitment, just 30 minutes of clarity on what's actually driving your results.

Book Free Consultation

No commitment. Just 30 minutes of clarity.