Work we've shipped lately
Trustworthy data isn't a theory - it's something you get built, proven and stood behind. Here's how three very different teams went from data they couldn't rely on to decisions they could defend.
10 years a marketing lead · senior from day one · working data in weeks
From data they couldn't trust to decisions they could defend
Sendify · Shipping platform · Sweden
How Sendify went from 40% to 99% trustworthy data
We rebuilt the foundation so every event is collected once, then validated, enriched and trusted. One warehouse Sendify owns, one number the whole team reports from.
Before: years of specialists, and still every platform reported a different number - so the team validated reports instead of acting on them.
Read the Sendify caseForvya · Small-group fitness · Berlin
How Forvya got reliable data without over-engineering it
We built a first-party data platform around the decisions - owned end to end in their own cloud, privacy-first, sending ad platforms only the signals they need.
Before: the default move was enterprise analytics built around a tool, not around the five questions a lead-gen business actually asks.
Read the Forvya caseMood · DTC · headless Shopify
How Mood kept its data trustworthy across a 10-tool stack
We made one observable flow the team operates - standardised, monitored, cross-domain - so the brand scales a complex setup without losing trust in the numbers. Tool-agnostic by design.
Before: a distributed stack where a single dropped event meant hours - often days - of manual detective work across tools.
Read the Mood caseProof beats gut feeling
Tell us what you can't trust right now. You'll get a straight answer on what to fix first - and what it's quietly costing you.
Talk to Dominic