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Data systems

How we build one complete system that gives growing companies data they own and trust.

Chapter 01

One system, not a collection of tools

A useful data system connects what the business learns to what it does next. The tools can change; the principles should not.

Complete

One connected system covers the path from collection to action instead of leaving you with disconnected pieces.

Simple

We build the least complicated system that solves the problem and can be maintained by the people who own it.

Useful

The system surfaces the signal your team needs to make decisions, automate work, and improve the customer experience.

Owned

Your company keeps a durable copy of its data and the ability to change tools without losing its history.

Chapter 02

What the system does

01

Data collection

We build the part of your system that collects the data your business produces.

02

Data distribution & activation

We deliver that data to your ad platforms, AI agents, and more

03

Data quality & compliance

We test your numbers for errors and your systems for GDPR compliance.

04

Data ownership

We build the warehouse that holds a full copy of your data. It belongs to you.

05

Data enrichment

We research, buy and extract third-party data from paid providers and public records, and join it to your own data.

06

Custom systems

We build internal tools and customer apps on your data.

Chapter 03

How we build it

01

Diagnose

We audit the current tracking, pipelines, models, ownership, and compliance, then agree on the smallest useful plan.

02

Build

We implement the collection, storage, transformations, and integrations as one production system.

03

Operate

We monitor quality, maintain the system, and keep improving it as the business and its questions change.

Chapter 04

Technologies we work with

Collection

Mixpanel We implement product tracking, identity resolution, funnels, and reporting teams can trust. Amplitude We design product analytics plans and instrument the events behind adoption and retention. PostHog We set up first-party product analytics, session replay, experiments, and feature flags. GA4 We configure reliable web and conversion measurement without treating GA4 as the source of truth. Looker We model governed business metrics and build dashboards teams can use without analyst support. Hotjar We pair session recordings and heatmaps with quantitative data to explain user behavior. Qualtrics We connect structured customer research to the behavioral and commercial data around it. Typeform We capture form responses cleanly and route them into customer and reporting systems. HubSpot We connect marketing, sales, and lifecycle data so every contact keeps its history. Pipedrive We structure pipeline data and automate the handoffs that keep deals moving. ActiveCampaign We trigger lifecycle messaging from reliable customer and product events. Intercom We connect customer identity, product behavior, and messaging for timely support and engagement. Crisp We integrate conversations with customer records so support context is not lost. Webflow We instrument Webflow sites and connect forms, consent, analytics, and conversion data. Shopify We connect storefront, customer, order, and marketing data into one usable record. WordPress We add dependable tracking, consent, forms, and integrations to WordPress sites. Framer We instrument Framer sites and connect their forms and events to the wider data system. Stripe We treat backend-confirmed subscriptions and payments as the reliable revenue signal. Mollie We connect payment outcomes to customer journeys, reporting, and downstream automation. Piwik PRO We implement EU-hosted analytics, tag management, and consent for privacy-sensitive teams.