SocialSelf was growing fast, but its marketing data lived in silos — ad platforms, analytics, and product data that never lined up. We designed and built a central marketing data warehouse: one place where every source is collected, modelled, and trustworthy, so the team can finally report and decide on numbers that agree.
Ad platforms, web analytics, and product data unified into a single, consistent model.
Conflicting reports replaced by one trustworthy source the whole team works from.
A foundation that grows with new channels and questions instead of breaking under them.
Mood needed more than basic tracking — it needed data infrastructure that could keep up with an ambitious, fast-moving marketing team. We built advanced, server-side data systems: resilient collection, clean event design, and pipelines robust enough to support real experimentation rather than just dashboards.
Durable, consent-safe collection that survives ad blockers and platform changes.
Clean, well-modelled events the team can actually test and learn from.
Pipelines built to hold up under a fast-moving roadmap, not just a launch.
A small team wanted to do serious, AI-driven marketing without hiring a data department. We set them up on i1: trustworthy first-party data flowing in automatically, ready to feed their AI tools and decisions. The result — a lean team punching well above its weight, with data they can trust behind every move.
i1 collects and validates the data automatically — no in-house data team required.
Their AI tools run on trustworthy first-party data instead of guesswork.
A small team that markets like a much bigger one, with i1 owning the data underneath.
