Find the features that drive revenue
Signups and daily actives don’t tell you what to build next. We connect product events to billing and CRM data, so your team can see in minutes which features drive expansion and which cohorts churn. We have done this for trading platforms, agency software and enterprise tools.
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.
Behaviour split from revenue
Product analytics and billing data sit in separate tools.
Inconsistent metrics
Fragile pipelines produce a different MRR figure each week.
No lifecycle view
You can’t follow a customer from acquisition to lifetime value.
What we build for SaaS teams
Feature adoption and cohorts
Which features retain, expand and predict churn.
CAC and LTV pipelines
Spend, billing and revenue joined into reliable unit economics.
Embedded analytics
Customer-facing dashboards that improve retention.
Scalable warehouse
An architecture that keeps up as users and revenue grow.
Related case studies
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.
Spend tied to signups and revenue during a fast growth push.
We built the acquisition dashboard and product analytics for a fast-growing trading replay tool, so the team could see cost per acquisition by channel and how traders use the product.
Marketing and sales on shared, reliable data, then a testing programme on top.
We closed the tracking gaps, joined marketing and sales data in Snowflake and ran structured CRO and SEO experiments on top of reporting the whole team trusts.
One view from first ad click to retained account, with AI on top
We joined marketing and product data in BigQuery, instrumented the trial funnel in PostHog and built MCP servers so the team and its clients could query data by asking.
Product analytics that showed a vet telehealth service where members drift away.
We rebuilt event tracking on Segment and GA4 for a US online vet subscription, then built retention reporting that showed where members stopped engaging.
Usage and SEO signals measured cleanly so the ALPS roadmap runs on evidence
We instrumented how enterprise users engage with ALPS and built reporting that tracks platform usage beside the SEO signals it reports on, giving product decisions a reliable base.
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 an engagement starts
The work runs in three steps. You see working output within weeks and can stop after any stage.
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 1Blueprint 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 weeksBuild 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