Your e-commerce data is a mess.
We fix that.

We build data pipelines, attribution models, and custom analytics for DTC brands. Unify Shopify, paid media, email, and every other source into one warehouse. Know where your money goes and what's actually working.

Analytics infrastructure for brands that sell online

We work with DTC brands doing £1M–50M in revenue who've outgrown spreadsheets and don't trust their current numbers.

01 —

Data Pipelines & Warehousing

Pull data from Shopify, Meta, Google Ads, Klaviyo, TikTok, Amazon — wherever you sell and market — into a single warehouse. Clean, modelled, and queryable. No more logging into twelve platforms to get one number.

02 —

Attribution Modelling

Last-click attribution is lying to you. We build Markov chain and data-driven models that show which channels actually drive purchases — incrementality, not just credit. Stop making budget decisions based on platform-reported ROAS.

03 —

Customer Cohorts & LTV

Know which customers are actually valuable. We build cohort analyses, lifetime value models, and retention tracking so you can see how acquisition quality changes over time — and stop optimising for one-time buyers.

04 —

Dashboards & Reporting

Dashboards built around the decisions you actually make. Not fifty charts nobody looks at — just the numbers that matter, updated automatically, accessible to your whole team.

05 —

Bespoke Data Solutions

Inventory forecasting. Custom API integrations. Subscription analytics. Data migrations. If it involves your data and doesn't fit a standard box, we build it. Every business has unique problems — we solve them.

06 —

Ongoing Analytics Retainer

Your data infrastructure evolves as your business grows. New channels, new metrics, new questions. We maintain your pipelines, add new data sources, and build whatever you need — on demand, every month.

Not for everyone. We don't do social media management, creative, or media buying. We don't build Shopify stores. We're data engineers and analysts — we make your data reliable so the people running your marketing can make better decisions.

How we're different

Warehouse-first

Everything goes through BigQuery. Reproducible, auditable, no black boxes. You own your data, not a SaaS vendor.

Attribution beyond platform ROAS

Platform-reported numbers are self-serving. We build independent models that show incrementality — what actually caused a sale.

No 12-week discovery phase

We audit in a week. Build in 2–6 weeks. You see results fast because we've done this for dozens of e-commerce brands and know the patterns.

End-to-end ownership

From raw API extraction to the dashboard your CMO opens every Monday. One team, no handoffs, no finger-pointing between vendors.

What this looks like in practice

35%
Ad spend reallocated after attribution rebuild
12+
Data sources consolidated per client on average
20hrs
Manual reporting eliminated per week
40%
Reduction in overstock from demand forecasting
Attribution

DTC skincare brand, £3M annual ad spend

Their Meta Ads manager and Google Ads were both claiming credit for the same conversions. We built a Markov chain attribution model that revealed 35% of their spend was going to channels that weren't incrementally driving sales. After reallocation, ROAS improved by 28% within two months.

→ £1M+ in annual ad spend reallocated to better-performing channels
Data consolidation

Multi-brand e-commerce group, 4 Shopify stores

Data lived in Shopify, Meta, Google Ads, Klaviyo, a subscription platform, and three spreadsheets that nobody trusted. We built a centralised BigQuery warehouse with automated pipelines, pulling from 14 sources. Their weekly reporting meeting went from "arguing about which numbers are right" to "deciding what to do next."

→ 14 data sources → 1 warehouse, reports in seconds instead of days
Inventory forecasting

DTC supplement brand, 200+ SKUs

Chronic overstock on slow movers, frequent stockouts on bestsellers. We built a demand forecasting model using historical sales, seasonality, and marketing calendar data. Inventory turns improved, cash stopped being tied up in product sitting in a warehouse.

→ 40% reduction in overstock, stockout rate dropped from 12% to under 3%

Sound like problems you have?

Book a 20-min data triage

See it in action

A live sample of the analytics dashboards we build. Real structure, real queries — not mockups.

E-commerce analytics dashboard

Revenue, marketing attribution, cohort analysis, and operational metrics — the kind of single-pane view we build for every client. Interactive, auto-refreshed, built on BigQuery.

Open live dashboard →

The stack

Reliable data, low maintenance, fast queries. We pick tools that scale with your business and don't lock you in.

BigQuery
Dataform
Airbyte
Looker Studio
Python
Shopify API
Meta Marketing API
Google Ads API
Klaviyo
dbt
n8n
GCP

Simple, transparent

No hourly billing. No scope creep surprises. You know what you're paying before we start.

Audit

from £1,500
1 week · fixed fee
We dig into your current data setup, find what's broken or missing, and deliver a clear action plan.
Full review of existing data sources
Gap analysis & data quality assessment
Prioritised recommendations
Implementation roadmap

Run

from £2,000
per month · retainer
We keep everything running, evolving, and answering the new questions your business asks every month.
Pipeline maintenance & monitoring
New data source integrations
Ad-hoc analysis & reporting
Ongoing development of new features

Common questions

Do you replace our agency or in-house analyst?

No. We build the data infrastructure they use. Your media buyer still buys media. Your analyst still analyses. They just finally have numbers they can trust.

What access do you need?

Read-only access to your ad platforms, Shopify, email tool, and whatever else we're connecting. We use least-privilege access — no customer PII is copied unless explicitly required and agreed.

We already use GA4 / Triple Whale / Northbeam. Why do we need you?

Those tools answer some questions. We answer the ones they can't — or the ones where they give you conflicting answers. We also build the underlying warehouse that makes all your data queryable and joinable, which no off-the-shelf tool does well.

What if our tracking is broken?

That's usually where we start. The audit identifies what's broken, and the build phase fixes it. Most clients come to us because they know their numbers are wrong but don't know why.

Can you work with our existing tools?

Yes. We integrate with whatever you're already using. If something needs replacing, we'll tell you — but we don't rip things out for the sake of it.

How fast can you start?

Usually within a week. Audits take about a week to complete. Build projects take 2–6 weeks depending on complexity. You'll see working output within the first sprint.

Let's look at your data

20 minutes. Tell us what's broken, we'll tell you what it takes to fix it. No sales pitch, no slide deck — just a straight conversation.

Book a 20-min data triage
Or email directly — hello@ecomdata.co