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.

← All Services

Data Visualisation

A single source of truth for every marketing decision

A custom dashboard that consolidates your store, ad platform, and analytics data into one clear view — so every decision starts from the same facts.

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Investment:$2,500 – $7,000

1–2 weeks

Build timeline

Automated

Data refresh

All platforms

Data connections

Deliverables

What you get

Custom Looker Studio or BI dashboard (your choice of tool)

Automated data connectors to Meta Ads, Google Ads, Shopify, GA4, and more

KPI scorecards with targets and benchmark comparisons

Channel-level and campaign-level performance views

Automated weekly and monthly report emails

30-day support window and team training session

Investment

$2,500 – $7,000

Fixed project scope

Timeline

1–2 weeks

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Process

How it works

Requirements & Scoping

We define the KPIs that matter, the decisions the dashboard needs to support, and the audience — executives and operators need different views.

Data Architecture

We connect all your data sources, build the transformation layer, and ensure data is consistent, accurate, and refreshed on the right cadence.

Dashboard Build

We build a clean, decision-focused dashboard. Every metric has context: target, trend, and recommended action.

Handover & Training

We hand over full ownership with documentation and a training session. You'll never be dependent on us to add a metric or change a filter.

Ideal Client

This service is for you if…

E-commerce brands managing 3+ paid channels who spend too long compiling weekly reports

DTC leadership teams who want one view to run their Monday meeting from

Retail marketing teams connecting online and offline data sources

Founders and CMOs who currently make decisions from spreadsheets

What clients see

8 hrs

Weekly reporting time saved

Typical time savings versus manual data compilation for weekly reporting.

1 day

Faster decision cycle

When everyone sees the same data in real time, decisions happen in days not weeks.

Common questions

Can you connect to our platform?

Almost certainly yes. We connect to Meta Ads, Google Ads, TikTok Ads, Shopify, WooCommerce, GA4, Klaviyo, Amazon, and most major retail POS systems.

Looker Studio vs. other BI tools — what do you recommend?

Looker Studio is free and excellent for most e-commerce and DTC teams. For larger brands with complex data needs, we may recommend Metabase or a lightweight data warehouse.

What happens if a data connector breaks?

We build dashboards with alert logic that flags data gaps. During the 30-day support window, we'll fix connection issues at no charge.

Other services

Marketing Analytics Audit

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.

$3,000 – $8,000

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

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.