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Commerce is a margin business — conversion, cart economics and channel performance compound in ways that reward precise engineering and precise measurement equally.
Commerce is unusual in how directly engineering quality translates into revenue: a slow checkout, a broken filter, or a site that falls over during a peak sale has an immediately measurable cost, not an abstract one. We engineer commerce platforms for peak load specifically — the traffic pattern that actually matters is the sale-day spike, not the average Tuesday — and treat conversion-rate work as continuous, because the highest-leverage improvements usually come from a steady cadence of small, measured changes rather than a single redesign.
Channel proliferation is the other defining problem in this sector: a storefront, a marketplace presence and social commerce each generate their own data, and without a unified measurement layer, nobody can actually tell which channel is driving profitable growth versus which one is just generating volume. We build full-funnel measurement that unifies storefront, paid and lifecycle data into one view, because a channel decision made on partial data is a guess dressed up as a strategy.
Relevant capabilities
Existing storefronts are the majority of our commerce work — conversion-rate optimisation, peak-load engineering and full-funnel measurement all apply directly to a platform already in production, often with more immediate impact than a rebuild would have.
We engineer and load-test against the actual peak traffic pattern the business expects, not average daily load — because the sale-day spike is exactly when reliability failures have the highest cost.
Yes — full-funnel measurement that combines storefront, paid and lifecycle data into one view is a core part of how we scope commerce growth work, since channel decisions made on fragmented data are unreliable by construction.
Tell us the constraint you're actually up against — regulatory, technical, or both.