Ecommerce & Retail
Know what sells and what makes money
Shopify, marketplaces, ad platforms and the ERP each report a different number, and someone loses every Monday reconciling them. We build a model of sales, stock and margin that refreshes itself, so buying and budget calls happen the same day. We have done this for fast-growing subscription brands and global consumer brands.
Free 30 minute call with the engineer who would do the work. You keep the first fix whether or not you hire us. Recent work includes Royal Canin, Cigna HK, Eukanuba and Circle Line.
The problem
01
Reporting takes all Monday
Someone exports six systems into a spreadsheet each week, and it still has errors.
02
Messy retail data
Returns, discounts, bundles, currencies and channels make simple questions hard to answer.
03
Figures that don’t agree
Inventory and sales numbers conflict, so buying decisions rely on instinct.
What we build
What we build for Ecommerce teams
Unified sales and revenue
DTC, marketplace, retail and wholesale in one model.
Multi-touch attribution
Contribution margin by channel as well as ROAS.
Product and inventory
Sell-through, stock cover and reorder alerts.
Automated trade reporting
Weekly trade packs built automatically for Monday morning.
Customer analytics
Cohorts, LTV and segments synced back to marketing tools.
Modern infrastructure
A warehouse and pipelines that handle peak season.
Typical stack
ShopifyNetSuiteBigQuerydbtLookerDagsterGoogle AdsMeta AdsKlaviyo
Results
Related case studies
Royal Canin FMCG · Pet nutrition App-first mobile carrier Telecom · Digital telco US meat subscription brand eCommerce · Direct to consumer US education and certification provider EdTech · Certifications Eukanuba FMCG · Premium pet food Circle Line Travel · Sightseeing cruises
A global GA4 migration with no break in measurement for any market.
We designed a global analytics schema for Royal Canin, migrated a very large multi-market site to GA4 and piped the raw data to its Azure and Databricks teams.
ContinuousMeasurement
AutomatedData pipelines
GlobalShared standards
Journey reporting across markets and paid media measurement that survives privacy changes.
We took Adobe Analytics to production across several markets, standardised GA4 globally and moved paid media conversions to a server-side feed.
ProductionAdobe Analytics
Server-sidePaid media data
ConsistentGlobal GA4
A clean read on sales, marketing, retention and margin for a fast-growing brand.
We migrated tracking to GA4, consolidated marketing, CRM and store data into BigQuery and built automated dashboards the business uses to run spend, stock and profit.
OneCommerce data foundation
On timeGA4 migration
AutomatedProfit reporting
Full-funnel visibility into certification sign-ups across every partner institution.
We tracked certification sign-up funnels the same way across every partner institution, built reporting on where enrolments come from and started a structured CRO programme.
FullFunnel visibility
EveryPartner tracked
StructuredExperimentation
A multi-market move to GA4 with no break in the reporting teams rely on
We rebuilt Eukanuba tracking in GA4 through GTM, validated it against the old data before cutover and set up backend reporting so data lived beyond the GA4 interface.
ContinuousMeasurement through migration
ValidatedBefore cutover
StructuredMulti-market reporting
Ticket sales tied to the marketing that drove them, ahead of peak season
Circle Line could not link ticket sales to marketing. We built GA4 ecommerce tracking across the booking funnel and fixed attribution so seasonal budgets follow the data.
AttributedTicket sales
FullFunnel visibility
Data-ledSeasonal budgets
Services
Services that fit
Digital Analytics & Tracking
Tracking that ties every sale and lead to the spend that produced it.
Data Platform Build
A tested data model of your business that people and AI tools can query.
Warehouse Migration
Move warehouses on a fixed date, with proof the numbers match.
Data Team Modernisation
Free your data team from the ticket queue to work on what moves revenue.
How we work
How an engagement starts
The work runs in three steps. You see working output within weeks and can stop after any stage.
01
Discovery call
A 30 minute call with the engineer who would do the work. We look at your setup, tell you what we would fix first, and whether you need us for it.
Day 1 02
Blueprint sprint
We map your sources, stakeholders and goals, then give you an architecture and a prioritised roadmap. You keep it whether or not we do the build.
2 to 4 weeks 03
Build in sprints
We ship working tracking, models, dashboards and agents every two weeks. You can stop after any sprint, and everything built stays yours.
Every 2 weeksWhat happens on the call
Book your call- 30 minutes with the engineer who would do the work
- No slides or sales pitch
- A clear answer on whether we can help, and a referral if we can’t
- The first fix we would make, which you can use either way